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You searched for subject:(Educational data mining). Showing records 1 – 30 of 80 total matches.

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University of Saskatchewan

1. Liu, Wengang. Using data mining to dynamically build up just in time learner models.

Degree: 2009, University of Saskatchewan

 Using rich data collected from e-learning systems, it may be possible to build up just in time dynamic learner models to analyze learners' behaviours and… (more)

Subjects/Keywords: Educational Data Mining; Learner Model

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Liu, W. (2009). Using data mining to dynamically build up just in time learner models. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/etd-01272010-215639

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Liu, Wengang. “Using data mining to dynamically build up just in time learner models.” 2009. Thesis, University of Saskatchewan. Accessed November 13, 2019. http://hdl.handle.net/10388/etd-01272010-215639.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Liu, Wengang. “Using data mining to dynamically build up just in time learner models.” 2009. Web. 13 Nov 2019.

Vancouver:

Liu W. Using data mining to dynamically build up just in time learner models. [Internet] [Thesis]. University of Saskatchewan; 2009. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/10388/etd-01272010-215639.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liu W. Using data mining to dynamically build up just in time learner models. [Thesis]. University of Saskatchewan; 2009. Available from: http://hdl.handle.net/10388/etd-01272010-215639

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Loughborough University

2. Alsuwaiket, Mohammed. Measuring academic performance of students in Higher Education using data mining techniques.

Degree: PhD, 2018, Loughborough University

Educational Data Mining (EDM) is a developing discipline, concerned with expanding the classical Data Mining (DM) methods and developing new methods for discovering the data(more)

Subjects/Keywords: Educational Data Mining (EDM)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Alsuwaiket, M. (2018). Measuring academic performance of students in Higher Education using data mining techniques. (Doctoral Dissertation). Loughborough University. Retrieved from https://dspace.lboro.ac.uk/2134/34680 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763458

Chicago Manual of Style (16th Edition):

Alsuwaiket, Mohammed. “Measuring academic performance of students in Higher Education using data mining techniques.” 2018. Doctoral Dissertation, Loughborough University. Accessed November 13, 2019. https://dspace.lboro.ac.uk/2134/34680 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763458.

MLA Handbook (7th Edition):

Alsuwaiket, Mohammed. “Measuring academic performance of students in Higher Education using data mining techniques.” 2018. Web. 13 Nov 2019.

Vancouver:

Alsuwaiket M. Measuring academic performance of students in Higher Education using data mining techniques. [Internet] [Doctoral dissertation]. Loughborough University; 2018. [cited 2019 Nov 13]. Available from: https://dspace.lboro.ac.uk/2134/34680 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763458.

Council of Science Editors:

Alsuwaiket M. Measuring academic performance of students in Higher Education using data mining techniques. [Doctoral Dissertation]. Loughborough University; 2018. Available from: https://dspace.lboro.ac.uk/2134/34680 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763458


Loughborough University

3. Alsuwaiket, Mohammed. Measuring academic performance of students in Higher Education using data mining techniques.

Degree: PhD, 2018, Loughborough University

Educational Data Mining (EDM) is a developing discipline, concerned with expanding the classical Data Mining (DM) methods and developing new methods for discovering the data(more)

Subjects/Keywords: Educational Data Mining (EDM)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Alsuwaiket, M. (2018). Measuring academic performance of students in Higher Education using data mining techniques. (Doctoral Dissertation). Loughborough University. Retrieved from http://hdl.handle.net/2134/34680

Chicago Manual of Style (16th Edition):

Alsuwaiket, Mohammed. “Measuring academic performance of students in Higher Education using data mining techniques.” 2018. Doctoral Dissertation, Loughborough University. Accessed November 13, 2019. http://hdl.handle.net/2134/34680.

MLA Handbook (7th Edition):

Alsuwaiket, Mohammed. “Measuring academic performance of students in Higher Education using data mining techniques.” 2018. Web. 13 Nov 2019.

Vancouver:

Alsuwaiket M. Measuring academic performance of students in Higher Education using data mining techniques. [Internet] [Doctoral dissertation]. Loughborough University; 2018. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/2134/34680.

Council of Science Editors:

Alsuwaiket M. Measuring academic performance of students in Higher Education using data mining techniques. [Doctoral Dissertation]. Loughborough University; 2018. Available from: http://hdl.handle.net/2134/34680

4. Borg, Olivia. Educational Data Mining : En kvalitativ studie med inriktning på dataanalys för att hitta mönster i närvarostatistik.

Degree: Informatics, 2019, University of Skövde

Studien fokuserar på att hitta olika mönster i närvarostatistik hos elever som inte närvarar i skolan. Informationen som resultatet ger kan därefter användas som… (more)

Subjects/Keywords: Data Mining; Educational Data Mining; Patterns; Data Mining; Educational Data Mining; Mönster; Information Systems; Systemvetenskap, informationssystem och informatik

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APA (6th Edition):

Borg, O. (2019). Educational Data Mining : En kvalitativ studie med inriktning på dataanalys för att hitta mönster i närvarostatistik. (Thesis). University of Skövde. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-16987

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Borg, Olivia. “Educational Data Mining : En kvalitativ studie med inriktning på dataanalys för att hitta mönster i närvarostatistik.” 2019. Thesis, University of Skövde. Accessed November 13, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-16987.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Borg, Olivia. “Educational Data Mining : En kvalitativ studie med inriktning på dataanalys för att hitta mönster i närvarostatistik.” 2019. Web. 13 Nov 2019.

Vancouver:

Borg O. Educational Data Mining : En kvalitativ studie med inriktning på dataanalys för att hitta mönster i närvarostatistik. [Internet] [Thesis]. University of Skövde; 2019. [cited 2019 Nov 13]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-16987.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Borg O. Educational Data Mining : En kvalitativ studie med inriktning på dataanalys för att hitta mönster i närvarostatistik. [Thesis]. University of Skövde; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-16987

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

5. Zhang, Jian. Exploring and Evaluating the Scalability and Efficiency of Apache Spark using Educational Datasets.

Degree: MA -MA, Information Systems and Technology, 2018, York University

 Research into the combination of data mining and machine learning technology with web-based education systems (known as education data mining, or EDM) is becoming imperative… (more)

Subjects/Keywords: Educational technology; Spark; Big data; Data mining; Apache Spark; Educational data mining

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zhang, J. (2018). Exploring and Evaluating the Scalability and Efficiency of Apache Spark using Educational Datasets. (Masters Thesis). York University. Retrieved from http://hdl.handle.net/10315/35023

Chicago Manual of Style (16th Edition):

Zhang, Jian. “Exploring and Evaluating the Scalability and Efficiency of Apache Spark using Educational Datasets.” 2018. Masters Thesis, York University. Accessed November 13, 2019. http://hdl.handle.net/10315/35023.

MLA Handbook (7th Edition):

Zhang, Jian. “Exploring and Evaluating the Scalability and Efficiency of Apache Spark using Educational Datasets.” 2018. Web. 13 Nov 2019.

Vancouver:

Zhang J. Exploring and Evaluating the Scalability and Efficiency of Apache Spark using Educational Datasets. [Internet] [Masters thesis]. York University; 2018. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/10315/35023.

Council of Science Editors:

Zhang J. Exploring and Evaluating the Scalability and Efficiency of Apache Spark using Educational Datasets. [Masters Thesis]. York University; 2018. Available from: http://hdl.handle.net/10315/35023


UCLA

6. Kerr, Deirdre Song. Into the Black Box: Using Data Mining of In-Game Actions to Draw Inferences from Educational Technology about Students' Math Knowledge.

Degree: Education, 2014, UCLA

Educational video games have the potential to be used as assessments of student understanding of complex concepts. However, the interpretation of the rich stream of… (more)

Subjects/Keywords: Educational technology; Educational tests & measurements; Education; data mining; educational data mining; educational technology; educational video games; in-game actions; log data

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APA (6th Edition):

Kerr, D. S. (2014). Into the Black Box: Using Data Mining of In-Game Actions to Draw Inferences from Educational Technology about Students' Math Knowledge. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/54c4z14h

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kerr, Deirdre Song. “Into the Black Box: Using Data Mining of In-Game Actions to Draw Inferences from Educational Technology about Students' Math Knowledge.” 2014. Thesis, UCLA. Accessed November 13, 2019. http://www.escholarship.org/uc/item/54c4z14h.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kerr, Deirdre Song. “Into the Black Box: Using Data Mining of In-Game Actions to Draw Inferences from Educational Technology about Students' Math Knowledge.” 2014. Web. 13 Nov 2019.

Vancouver:

Kerr DS. Into the Black Box: Using Data Mining of In-Game Actions to Draw Inferences from Educational Technology about Students' Math Knowledge. [Internet] [Thesis]. UCLA; 2014. [cited 2019 Nov 13]. Available from: http://www.escholarship.org/uc/item/54c4z14h.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kerr DS. Into the Black Box: Using Data Mining of In-Game Actions to Draw Inferences from Educational Technology about Students' Math Knowledge. [Thesis]. UCLA; 2014. Available from: http://www.escholarship.org/uc/item/54c4z14h

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of California – Riverside

7. Lin, Han-Lung. Estimating Student Competence in Engineering Statics From a Lexical Analysis of Handwritten Equations.

Degree: Computer Science, 2014, University of California – Riverside

 We present a technique that examines handwritten equations from a student's solution to an engineering statics problem and estimates the correctness of the work. The… (more)

Subjects/Keywords: Computer science; Educational Data Mining; Sketch Understanding

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APA (6th Edition):

Lin, H. (2014). Estimating Student Competence in Engineering Statics From a Lexical Analysis of Handwritten Equations. (Thesis). University of California – Riverside. Retrieved from http://www.escholarship.org/uc/item/9nf9v6g7

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lin, Han-Lung. “Estimating Student Competence in Engineering Statics From a Lexical Analysis of Handwritten Equations.” 2014. Thesis, University of California – Riverside. Accessed November 13, 2019. http://www.escholarship.org/uc/item/9nf9v6g7.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lin, Han-Lung. “Estimating Student Competence in Engineering Statics From a Lexical Analysis of Handwritten Equations.” 2014. Web. 13 Nov 2019.

Vancouver:

Lin H. Estimating Student Competence in Engineering Statics From a Lexical Analysis of Handwritten Equations. [Internet] [Thesis]. University of California – Riverside; 2014. [cited 2019 Nov 13]. Available from: http://www.escholarship.org/uc/item/9nf9v6g7.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lin H. Estimating Student Competence in Engineering Statics From a Lexical Analysis of Handwritten Equations. [Thesis]. University of California – Riverside; 2014. Available from: http://www.escholarship.org/uc/item/9nf9v6g7

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Columbia University

8. Almeda, Ma. Victoria Quintos. When practice does not make perfect: Differentiating between productive and unproductive persistence.

Degree: 2018, Columbia University

 Research has suggested that persistence in the face of challenges plays an important role in learning. However, recent work on wheel-spinning—a type of unproductive persistence… (more)

Subjects/Keywords: Educational psychology; Persistence; Data mining; Learning strategies

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APA (6th Edition):

Almeda, M. V. Q. (2018). When practice does not make perfect: Differentiating between productive and unproductive persistence. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D83R291G

Chicago Manual of Style (16th Edition):

Almeda, Ma Victoria Quintos. “When practice does not make perfect: Differentiating between productive and unproductive persistence.” 2018. Doctoral Dissertation, Columbia University. Accessed November 13, 2019. https://doi.org/10.7916/D83R291G.

MLA Handbook (7th Edition):

Almeda, Ma Victoria Quintos. “When practice does not make perfect: Differentiating between productive and unproductive persistence.” 2018. Web. 13 Nov 2019.

Vancouver:

Almeda MVQ. When practice does not make perfect: Differentiating between productive and unproductive persistence. [Internet] [Doctoral dissertation]. Columbia University; 2018. [cited 2019 Nov 13]. Available from: https://doi.org/10.7916/D83R291G.

Council of Science Editors:

Almeda MVQ. When practice does not make perfect: Differentiating between productive and unproductive persistence. [Doctoral Dissertation]. Columbia University; 2018. Available from: https://doi.org/10.7916/D83R291G


Arizona State University

9. Dexheimer, Matthew Scott. What Predicts Student Comprehension in Language Learning? Augmenting Student Action with Elapsed Time in an Educational Data Mining Approach.

Degree: Computer Science, 2017, Arizona State University

 Reading comprehension is a critical aspect of life in America, but many English language learners struggle with this skill. Enhanced Moved by Reading to Accelerate… (more)

Subjects/Keywords: Computer science; Educational Data Mining; Language Learning

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APA (6th Edition):

Dexheimer, M. S. (2017). What Predicts Student Comprehension in Language Learning? Augmenting Student Action with Elapsed Time in an Educational Data Mining Approach. (Masters Thesis). Arizona State University. Retrieved from http://repository.asu.edu/items/44155

Chicago Manual of Style (16th Edition):

Dexheimer, Matthew Scott. “What Predicts Student Comprehension in Language Learning? Augmenting Student Action with Elapsed Time in an Educational Data Mining Approach.” 2017. Masters Thesis, Arizona State University. Accessed November 13, 2019. http://repository.asu.edu/items/44155.

MLA Handbook (7th Edition):

Dexheimer, Matthew Scott. “What Predicts Student Comprehension in Language Learning? Augmenting Student Action with Elapsed Time in an Educational Data Mining Approach.” 2017. Web. 13 Nov 2019.

Vancouver:

Dexheimer MS. What Predicts Student Comprehension in Language Learning? Augmenting Student Action with Elapsed Time in an Educational Data Mining Approach. [Internet] [Masters thesis]. Arizona State University; 2017. [cited 2019 Nov 13]. Available from: http://repository.asu.edu/items/44155.

Council of Science Editors:

Dexheimer MS. What Predicts Student Comprehension in Language Learning? Augmenting Student Action with Elapsed Time in an Educational Data Mining Approach. [Masters Thesis]. Arizona State University; 2017. Available from: http://repository.asu.edu/items/44155


University of Sydney

10. Rajibussalim. Data Mining for Studying the Impact of Reflection on Learning .

Degree: 2010, University of Sydney

 Title: Data Mining for Studying the Impact of Reflection on Learning Keywords: educational data mining, Reflect, learning behaviour, impact Abstract On-line Web-based education learning systems… (more)

Subjects/Keywords: educational data mining; Reflect; learning behaviour; impact

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APA (6th Edition):

Rajibussalim. (2010). Data Mining for Studying the Impact of Reflection on Learning . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/10589

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Rajibussalim. “Data Mining for Studying the Impact of Reflection on Learning .” 2010. Thesis, University of Sydney. Accessed November 13, 2019. http://hdl.handle.net/2123/10589.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Rajibussalim. “Data Mining for Studying the Impact of Reflection on Learning .” 2010. Web. 13 Nov 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Rajibussalim. Data Mining for Studying the Impact of Reflection on Learning . [Internet] [Thesis]. University of Sydney; 2010. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/2123/10589.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rajibussalim. Data Mining for Studying the Impact of Reflection on Learning . [Thesis]. University of Sydney; 2010. Available from: http://hdl.handle.net/2123/10589

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


Arizona State University

11. Chaudhry, Rishabh. Using Differential Sequence Mining to Associate Patterns of Interactions in Concept Mapping Activity with Dimensions of Collaborative Process.

Degree: Computer Science, 2015, Arizona State University

 Computer supported collaborative learning (CSCL) has made great inroads in classroom teaching marked by the use of tools and technologies to support and enhance collaborative… (more)

Subjects/Keywords: Computer science; Educational technology; Collaborative learning; CSCL; Educational Data Mining; Sequential Pattern Mining

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chaudhry, R. (2015). Using Differential Sequence Mining to Associate Patterns of Interactions in Concept Mapping Activity with Dimensions of Collaborative Process. (Masters Thesis). Arizona State University. Retrieved from http://repository.asu.edu/items/36475

Chicago Manual of Style (16th Edition):

Chaudhry, Rishabh. “Using Differential Sequence Mining to Associate Patterns of Interactions in Concept Mapping Activity with Dimensions of Collaborative Process.” 2015. Masters Thesis, Arizona State University. Accessed November 13, 2019. http://repository.asu.edu/items/36475.

MLA Handbook (7th Edition):

Chaudhry, Rishabh. “Using Differential Sequence Mining to Associate Patterns of Interactions in Concept Mapping Activity with Dimensions of Collaborative Process.” 2015. Web. 13 Nov 2019.

Vancouver:

Chaudhry R. Using Differential Sequence Mining to Associate Patterns of Interactions in Concept Mapping Activity with Dimensions of Collaborative Process. [Internet] [Masters thesis]. Arizona State University; 2015. [cited 2019 Nov 13]. Available from: http://repository.asu.edu/items/36475.

Council of Science Editors:

Chaudhry R. Using Differential Sequence Mining to Associate Patterns of Interactions in Concept Mapping Activity with Dimensions of Collaborative Process. [Masters Thesis]. Arizona State University; 2015. Available from: http://repository.asu.edu/items/36475


University of Notre Dame

12. Quinn Nathaniel Lathrop. IRT and SVD: Implementing Psychometric Methods in New and Complex Situations</h1>.

Degree: PhD, Psychology, 2015, University of Notre Dame

  Most psychometric techniques used to analyze assessment data are designed to work with complete data. The rapid increase in the availability and power of… (more)

Subjects/Keywords: missing data; singular value decomposition; data mining; computation statistics; educational data; Item response theory; psychometrics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lathrop, Q. N. (2015). IRT and SVD: Implementing Psychometric Methods in New and Complex Situations</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/pz50gt56z02

Chicago Manual of Style (16th Edition):

Lathrop, Quinn Nathaniel. “IRT and SVD: Implementing Psychometric Methods in New and Complex Situations</h1>.” 2015. Doctoral Dissertation, University of Notre Dame. Accessed November 13, 2019. https://curate.nd.edu/show/pz50gt56z02.

MLA Handbook (7th Edition):

Lathrop, Quinn Nathaniel. “IRT and SVD: Implementing Psychometric Methods in New and Complex Situations</h1>.” 2015. Web. 13 Nov 2019.

Vancouver:

Lathrop QN. IRT and SVD: Implementing Psychometric Methods in New and Complex Situations</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2015. [cited 2019 Nov 13]. Available from: https://curate.nd.edu/show/pz50gt56z02.

Council of Science Editors:

Lathrop QN. IRT and SVD: Implementing Psychometric Methods in New and Complex Situations</h1>. [Doctoral Dissertation]. University of Notre Dame; 2015. Available from: https://curate.nd.edu/show/pz50gt56z02


Tampere University

13. Xu, Menglin. Analysing Moodle learning behaviour about virtual patients .

Degree: 2017, Tampere University

 With the development of Internet, online learning management systems (LMSs) have been used widely for providing teaching platforms. The vast quantities of data that LMSs… (more)

Subjects/Keywords: educational data mining; problem-based learning; sequential pattern mining; Moodle; learning pattern; learning management system.

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APA (6th Edition):

Xu, M. (2017). Analysing Moodle learning behaviour about virtual patients . (Masters Thesis). Tampere University. Retrieved from https://trepo.tuni.fi/handle/10024/101601

Chicago Manual of Style (16th Edition):

Xu, Menglin. “Analysing Moodle learning behaviour about virtual patients .” 2017. Masters Thesis, Tampere University. Accessed November 13, 2019. https://trepo.tuni.fi/handle/10024/101601.

MLA Handbook (7th Edition):

Xu, Menglin. “Analysing Moodle learning behaviour about virtual patients .” 2017. Web. 13 Nov 2019.

Vancouver:

Xu M. Analysing Moodle learning behaviour about virtual patients . [Internet] [Masters thesis]. Tampere University; 2017. [cited 2019 Nov 13]. Available from: https://trepo.tuni.fi/handle/10024/101601.

Council of Science Editors:

Xu M. Analysing Moodle learning behaviour about virtual patients . [Masters Thesis]. Tampere University; 2017. Available from: https://trepo.tuni.fi/handle/10024/101601


Laurentian University

14. Jahan, Sheikh Shushmita. Educational data mining using fuzzy sets to facilitate usability and user experience - an approach to integrate artificial intelligence and human-computer interaction .

Degree: 2015, Laurentian University

 Artificial Intelligence (AI) and Human-Computer Interaction (HCI) have the common goal of enhancing effectiveness of a system and making it easier for people to use.… (more)

Subjects/Keywords: Educational Data Mining; Fuzzy Sets; Computational Intelligence; Human-Computer Interaction

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APA (6th Edition):

Jahan, S. S. (2015). Educational data mining using fuzzy sets to facilitate usability and user experience - an approach to integrate artificial intelligence and human-computer interaction . (Thesis). Laurentian University. Retrieved from https://zone.biblio.laurentian.ca/dspace/handle/10219/2534

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Jahan, Sheikh Shushmita. “Educational data mining using fuzzy sets to facilitate usability and user experience - an approach to integrate artificial intelligence and human-computer interaction .” 2015. Thesis, Laurentian University. Accessed November 13, 2019. https://zone.biblio.laurentian.ca/dspace/handle/10219/2534.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Jahan, Sheikh Shushmita. “Educational data mining using fuzzy sets to facilitate usability and user experience - an approach to integrate artificial intelligence and human-computer interaction .” 2015. Web. 13 Nov 2019.

Vancouver:

Jahan SS. Educational data mining using fuzzy sets to facilitate usability and user experience - an approach to integrate artificial intelligence and human-computer interaction . [Internet] [Thesis]. Laurentian University; 2015. [cited 2019 Nov 13]. Available from: https://zone.biblio.laurentian.ca/dspace/handle/10219/2534.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jahan SS. Educational data mining using fuzzy sets to facilitate usability and user experience - an approach to integrate artificial intelligence and human-computer interaction . [Thesis]. Laurentian University; 2015. Available from: https://zone.biblio.laurentian.ca/dspace/handle/10219/2534

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Vanderbilt University

15. Martinez Garza, Mario Manuel. Coevolution of Theory and Data Analytics of Digital Game-Based Learning.

Degree: PhD, Learning, Teaching and Diversity, 2016, Vanderbilt University

 Learning theory and educational data analytics can be said to coevolve, that is, to refine and improve each other reciprocally, each aspect providing a necessary… (more)

Subjects/Keywords: data mining; learning analytics; educational games; science learning

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APA (6th Edition):

Martinez Garza, M. M. (2016). Coevolution of Theory and Data Analytics of Digital Game-Based Learning. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-01242016-180919/ ;

Chicago Manual of Style (16th Edition):

Martinez Garza, Mario Manuel. “Coevolution of Theory and Data Analytics of Digital Game-Based Learning.” 2016. Doctoral Dissertation, Vanderbilt University. Accessed November 13, 2019. http://etd.library.vanderbilt.edu/available/etd-01242016-180919/ ;.

MLA Handbook (7th Edition):

Martinez Garza, Mario Manuel. “Coevolution of Theory and Data Analytics of Digital Game-Based Learning.” 2016. Web. 13 Nov 2019.

Vancouver:

Martinez Garza MM. Coevolution of Theory and Data Analytics of Digital Game-Based Learning. [Internet] [Doctoral dissertation]. Vanderbilt University; 2016. [cited 2019 Nov 13]. Available from: http://etd.library.vanderbilt.edu/available/etd-01242016-180919/ ;.

Council of Science Editors:

Martinez Garza MM. Coevolution of Theory and Data Analytics of Digital Game-Based Learning. [Doctoral Dissertation]. Vanderbilt University; 2016. Available from: http://etd.library.vanderbilt.edu/available/etd-01242016-180919/ ;


University of Ottawa

16. Alvarado Mantecon, Jesus Gerardo. Towards the Automatic Classification of Student Answers to Open-ended Questions .

Degree: 2019, University of Ottawa

 One of the main research challenges nowadays in the context of Massive Open Online Courses (MOOCs) is the automation of the evaluation process of text-based… (more)

Subjects/Keywords: Natural Language Processing; Machine Learning; Educational Data Mining

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APA (6th Edition):

Alvarado Mantecon, J. G. (2019). Towards the Automatic Classification of Student Answers to Open-ended Questions . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/39093

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Alvarado Mantecon, Jesus Gerardo. “Towards the Automatic Classification of Student Answers to Open-ended Questions .” 2019. Thesis, University of Ottawa. Accessed November 13, 2019. http://hdl.handle.net/10393/39093.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Alvarado Mantecon, Jesus Gerardo. “Towards the Automatic Classification of Student Answers to Open-ended Questions .” 2019. Web. 13 Nov 2019.

Vancouver:

Alvarado Mantecon JG. Towards the Automatic Classification of Student Answers to Open-ended Questions . [Internet] [Thesis]. University of Ottawa; 2019. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/10393/39093.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Alvarado Mantecon JG. Towards the Automatic Classification of Student Answers to Open-ended Questions . [Thesis]. University of Ottawa; 2019. Available from: http://hdl.handle.net/10393/39093

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Laurentian University

17. Jahan, Sheikh Shushmita. Educational data mining using fuzzy sets to facilitate usability and user experience - an approach to integrate artificial intelligence and human-computer interaction .

Degree: 2015, Laurentian University

 Artificial Intelligence (AI) and Human-Computer Interaction (HCI) have the common goal of enhancing effectiveness of a system and making it easier for people to use.… (more)

Subjects/Keywords: Educational Data Mining; Fuzzy Sets; Computational Intelligence; Human-Computer Interaction

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APA (6th Edition):

Jahan, S. S. (2015). Educational data mining using fuzzy sets to facilitate usability and user experience - an approach to integrate artificial intelligence and human-computer interaction . (Thesis). Laurentian University. Retrieved from https://zone.biblio.laurentian.ca/dspace/handle/10219/2534

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Jahan, Sheikh Shushmita. “Educational data mining using fuzzy sets to facilitate usability and user experience - an approach to integrate artificial intelligence and human-computer interaction .” 2015. Thesis, Laurentian University. Accessed November 13, 2019. https://zone.biblio.laurentian.ca/dspace/handle/10219/2534.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Jahan, Sheikh Shushmita. “Educational data mining using fuzzy sets to facilitate usability and user experience - an approach to integrate artificial intelligence and human-computer interaction .” 2015. Web. 13 Nov 2019.

Vancouver:

Jahan SS. Educational data mining using fuzzy sets to facilitate usability and user experience - an approach to integrate artificial intelligence and human-computer interaction . [Internet] [Thesis]. Laurentian University; 2015. [cited 2019 Nov 13]. Available from: https://zone.biblio.laurentian.ca/dspace/handle/10219/2534.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jahan SS. Educational data mining using fuzzy sets to facilitate usability and user experience - an approach to integrate artificial intelligence and human-computer interaction . [Thesis]. Laurentian University; 2015. Available from: https://zone.biblio.laurentian.ca/dspace/handle/10219/2534

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

18. Moro, Luis Fernando de Souza. Caracterização de alunos em ambientes de ensino online: estendendo o uso da DAMICORE para minerar dados educacionais.

Degree: Mestrado, Ciências de Computação e Matemática Computacional, 2015, University of São Paulo

Com a popularização do uso de recursos tecnológicos na educação, uma enorme quantidade de dados, relacionados às interações entre alunos e esses recursos, é armazenada.… (more)

Subjects/Keywords: Atributes; Atributos; Educational data mining; Mineração de dados educacionais

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Moro, L. F. d. S. (2015). Caracterização de alunos em ambientes de ensino online: estendendo o uso da DAMICORE para minerar dados educacionais. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55134/tde-14092015-164510/ ;

Chicago Manual of Style (16th Edition):

Moro, Luis Fernando de Souza. “Caracterização de alunos em ambientes de ensino online: estendendo o uso da DAMICORE para minerar dados educacionais.” 2015. Masters Thesis, University of São Paulo. Accessed November 13, 2019. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-14092015-164510/ ;.

MLA Handbook (7th Edition):

Moro, Luis Fernando de Souza. “Caracterização de alunos em ambientes de ensino online: estendendo o uso da DAMICORE para minerar dados educacionais.” 2015. Web. 13 Nov 2019.

Vancouver:

Moro LFdS. Caracterização de alunos em ambientes de ensino online: estendendo o uso da DAMICORE para minerar dados educacionais. [Internet] [Masters thesis]. University of São Paulo; 2015. [cited 2019 Nov 13]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-14092015-164510/ ;.

Council of Science Editors:

Moro LFdS. Caracterização de alunos em ambientes de ensino online: estendendo o uso da DAMICORE para minerar dados educacionais. [Masters Thesis]. University of São Paulo; 2015. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-14092015-164510/ ;

19. Bunkar, Rajesh. Data mining applications for educational system; -.

Degree: Computer Science, 2012, INFLIBNET

None

Bibliography p.141-151 Appendix p.152-240

Advisors/Committee Members: Kasana, R S and Singh, Umesh Kumar.

Subjects/Keywords: Data mining; educational system

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APA (6th Edition):

Bunkar, R. (2012). Data mining applications for educational system; -. (Thesis). INFLIBNET. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/38865

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bunkar, Rajesh. “Data mining applications for educational system; -.” 2012. Thesis, INFLIBNET. Accessed November 13, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/38865.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bunkar, Rajesh. “Data mining applications for educational system; -.” 2012. Web. 13 Nov 2019.

Vancouver:

Bunkar R. Data mining applications for educational system; -. [Internet] [Thesis]. INFLIBNET; 2012. [cited 2019 Nov 13]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/38865.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bunkar R. Data mining applications for educational system; -. [Thesis]. INFLIBNET; 2012. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/38865

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Technology, Sydney

20. Ahadi, Alireza. Data analytics and the novice programmer.

Degree: 2018, University of Technology, Sydney

 The aptitude of students for learning how to program (henceforth Programming learn-ability) has always been of interest to the computer science education researcher. This issue… (more)

Subjects/Keywords: Coding theory.; Computer programmers.; Educational data mining.; Machine learning.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ahadi, A. (2018). Data analytics and the novice programmer. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/123186

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ahadi, Alireza. “Data analytics and the novice programmer.” 2018. Thesis, University of Technology, Sydney. Accessed November 13, 2019. http://hdl.handle.net/10453/123186.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ahadi, Alireza. “Data analytics and the novice programmer.” 2018. Web. 13 Nov 2019.

Vancouver:

Ahadi A. Data analytics and the novice programmer. [Internet] [Thesis]. University of Technology, Sydney; 2018. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/10453/123186.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ahadi A. Data analytics and the novice programmer. [Thesis]. University of Technology, Sydney; 2018. Available from: http://hdl.handle.net/10453/123186

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brigham Young University

21. Chapman, John Shadrack. Task-Level Feedback in Interactive Learning Enivonments Using a Rules Based Grading Engine.

Degree: PhD, 2016, Brigham Young University

 In order to improve the feedback an intelligent tutoring system provides, the grading engine needs to do more than simply indicate whether a student gives… (more)

Subjects/Keywords: knowledge components; diagnostic instructional feedback; data mining; Educational Psychology

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APA (6th Edition):

Chapman, J. S. (2016). Task-Level Feedback in Interactive Learning Enivonments Using a Rules Based Grading Engine. (Doctoral Dissertation). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7605&context=etd

Chicago Manual of Style (16th Edition):

Chapman, John Shadrack. “Task-Level Feedback in Interactive Learning Enivonments Using a Rules Based Grading Engine.” 2016. Doctoral Dissertation, Brigham Young University. Accessed November 13, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7605&context=etd.

MLA Handbook (7th Edition):

Chapman, John Shadrack. “Task-Level Feedback in Interactive Learning Enivonments Using a Rules Based Grading Engine.” 2016. Web. 13 Nov 2019.

Vancouver:

Chapman JS. Task-Level Feedback in Interactive Learning Enivonments Using a Rules Based Grading Engine. [Internet] [Doctoral dissertation]. Brigham Young University; 2016. [cited 2019 Nov 13]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7605&context=etd.

Council of Science Editors:

Chapman JS. Task-Level Feedback in Interactive Learning Enivonments Using a Rules Based Grading Engine. [Doctoral Dissertation]. Brigham Young University; 2016. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7605&context=etd

22. Matos, Clarisse Celeste Cravo. Recomendações personalizadas de alunos em sistemas de hipermédia adaptativa educacional usando Data Mining.

Degree: 2013, Instituto Politécnico do Porto

O aumento de tecnologias disponíveis na Web favoreceu o aparecimento de diversas formas de informação, recursos e serviços. Este aumento aliado à constante necessidade de… (more)

Subjects/Keywords: Sistemas de hipermédia adaptativa educacional; Modelação do aluno; Técnicas de Data Mining; Adaptive educational hypermedia systems; Student model; Data Mining techniques

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Matos, C. C. C. (2013). Recomendações personalizadas de alunos em sistemas de hipermédia adaptativa educacional usando Data Mining. (Thesis). Instituto Politécnico do Porto. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:recipp.ipp.pt:10400.22/4636

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Matos, Clarisse Celeste Cravo. “Recomendações personalizadas de alunos em sistemas de hipermédia adaptativa educacional usando Data Mining.” 2013. Thesis, Instituto Politécnico do Porto. Accessed November 13, 2019. http://www.rcaap.pt/detail.jsp?id=oai:recipp.ipp.pt:10400.22/4636.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Matos, Clarisse Celeste Cravo. “Recomendações personalizadas de alunos em sistemas de hipermédia adaptativa educacional usando Data Mining.” 2013. Web. 13 Nov 2019.

Vancouver:

Matos CCC. Recomendações personalizadas de alunos em sistemas de hipermédia adaptativa educacional usando Data Mining. [Internet] [Thesis]. Instituto Politécnico do Porto; 2013. [cited 2019 Nov 13]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:recipp.ipp.pt:10400.22/4636.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Matos CCC. Recomendações personalizadas de alunos em sistemas de hipermédia adaptativa educacional usando Data Mining. [Thesis]. Instituto Politécnico do Porto; 2013. Available from: http://www.rcaap.pt/detail.jsp?id=oai:recipp.ipp.pt:10400.22/4636

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Utah State University

23. Xu, Beijie. Clustering Educational Digital Library Usage Data: Comparisons of Latent Class Analysis and K-Means Algorithms.

Degree: MS, Computer Science, 2011, Utah State University

  There are common pitfalls and neglected areas when using clustering approaches to solve educational problems. A clustering algorithm is often used without the choice… (more)

Subjects/Keywords: Clustering; Data Mining; Digital Library; educational data mining; K-Means; Latent class analysis; Computer Science; Computer Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Xu, B. (2011). Clustering Educational Digital Library Usage Data: Comparisons of Latent Class Analysis and K-Means Algorithms. (Masters Thesis). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/954

Chicago Manual of Style (16th Edition):

Xu, Beijie. “Clustering Educational Digital Library Usage Data: Comparisons of Latent Class Analysis and K-Means Algorithms.” 2011. Masters Thesis, Utah State University. Accessed November 13, 2019. https://digitalcommons.usu.edu/etd/954.

MLA Handbook (7th Edition):

Xu, Beijie. “Clustering Educational Digital Library Usage Data: Comparisons of Latent Class Analysis and K-Means Algorithms.” 2011. Web. 13 Nov 2019.

Vancouver:

Xu B. Clustering Educational Digital Library Usage Data: Comparisons of Latent Class Analysis and K-Means Algorithms. [Internet] [Masters thesis]. Utah State University; 2011. [cited 2019 Nov 13]. Available from: https://digitalcommons.usu.edu/etd/954.

Council of Science Editors:

Xu B. Clustering Educational Digital Library Usage Data: Comparisons of Latent Class Analysis and K-Means Algorithms. [Masters Thesis]. Utah State University; 2011. Available from: https://digitalcommons.usu.edu/etd/954


University of Technology, Sydney

24. Li, Mu. Coupling analysis in educational data.

Degree: 2015, University of Technology, Sydney

Educational data analysis refers to techniques, tools, and research designed to automatically extract meaning from large repositories of data generated by or related to people’s… (more)

Subjects/Keywords: Educational data analysis.; Data mining algorithms.; Coupling analysis.; Student performance prediction analysis.; Student social media sentiment analysis.; Scalable educational data mining platform.; Spark cluster.

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APA (6th Edition):

Li, M. (2015). Coupling analysis in educational data. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/43410

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Li, Mu. “Coupling analysis in educational data.” 2015. Thesis, University of Technology, Sydney. Accessed November 13, 2019. http://hdl.handle.net/10453/43410.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Li, Mu. “Coupling analysis in educational data.” 2015. Web. 13 Nov 2019.

Vancouver:

Li M. Coupling analysis in educational data. [Internet] [Thesis]. University of Technology, Sydney; 2015. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/10453/43410.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li M. Coupling analysis in educational data. [Thesis]. University of Technology, Sydney; 2015. Available from: http://hdl.handle.net/10453/43410

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Louisville

25. Acun Sener, Asuman Cagla. A data science pipeline for educational data : a case study using learning catalytics in the active learning classroom.

Degree: MS, 2017, University of Louisville

  This thesis presents an applied data science methodology on a set of University of Louisville, Speed School of Engineering student data. We used data(more)

Subjects/Keywords: data science; data science pipeline; visualization; exploratory factor analysis; educational data mining; Computer Engineering; Computer Sciences

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Acun Sener, A. C. (2017). A data science pipeline for educational data : a case study using learning catalytics in the active learning classroom. (Masters Thesis). University of Louisville. Retrieved from 10.18297/etd/2758 ; https://ir.library.louisville.edu/etd/2758

Chicago Manual of Style (16th Edition):

Acun Sener, Asuman Cagla. “A data science pipeline for educational data : a case study using learning catalytics in the active learning classroom.” 2017. Masters Thesis, University of Louisville. Accessed November 13, 2019. 10.18297/etd/2758 ; https://ir.library.louisville.edu/etd/2758.

MLA Handbook (7th Edition):

Acun Sener, Asuman Cagla. “A data science pipeline for educational data : a case study using learning catalytics in the active learning classroom.” 2017. Web. 13 Nov 2019.

Vancouver:

Acun Sener AC. A data science pipeline for educational data : a case study using learning catalytics in the active learning classroom. [Internet] [Masters thesis]. University of Louisville; 2017. [cited 2019 Nov 13]. Available from: 10.18297/etd/2758 ; https://ir.library.louisville.edu/etd/2758.

Council of Science Editors:

Acun Sener AC. A data science pipeline for educational data : a case study using learning catalytics in the active learning classroom. [Masters Thesis]. University of Louisville; 2017. Available from: 10.18297/etd/2758 ; https://ir.library.louisville.edu/etd/2758

26. Silva, Diogo Fernando Barroso Portela Ferreira da. ViDi Stat.

Degree: 2015, Instituto Politécnico do Porto

A tese desenvolvida tem como foco fornecer os meios necessários para extrair conhecimento contidos no histórico académico da instituição transformando a informação em algo simples… (more)

Subjects/Keywords: Ferramenta inteligência de negócio; Mineração de dados; Mineração de dados na educação; Estatísticas; Qualidade de ensino; Business intelligence; Data mining; Educational data mining; Statistics; Educational quality; Arquiteturas, Sistemas e Redes

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APA (6th Edition):

Silva, D. F. B. P. F. d. (2015). ViDi Stat. (Thesis). Instituto Politécnico do Porto. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:recipp.ipp.pt:10400.22/8147

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Silva, Diogo Fernando Barroso Portela Ferreira da. “ViDi Stat.” 2015. Thesis, Instituto Politécnico do Porto. Accessed November 13, 2019. http://www.rcaap.pt/detail.jsp?id=oai:recipp.ipp.pt:10400.22/8147.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Silva, Diogo Fernando Barroso Portela Ferreira da. “ViDi Stat.” 2015. Web. 13 Nov 2019.

Vancouver:

Silva DFBPFd. ViDi Stat. [Internet] [Thesis]. Instituto Politécnico do Porto; 2015. [cited 2019 Nov 13]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:recipp.ipp.pt:10400.22/8147.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Silva DFBPFd. ViDi Stat. [Thesis]. Instituto Politécnico do Porto; 2015. Available from: http://www.rcaap.pt/detail.jsp?id=oai:recipp.ipp.pt:10400.22/8147

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

27. Moreira, Vitor Hugo Magalhães. ViDi Stat.

Degree: 2015, Instituto Politécnico do Porto

A tese desenvolvida tem como foco fornecer os meios necessários para extrair conhecimento contidos no histórico académico da instituição transformando a informação em algo simples… (more)

Subjects/Keywords: Ferramenta inteligência de negócio; Mineração de dados; Mineração de dados na educação; Estatísticas; Qualidade de ensino; Business intelligence; Data mining; Educational data mining; Statistics; Educational quality

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Moreira, V. H. M. (2015). ViDi Stat. (Thesis). Instituto Politécnico do Porto. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:recipp.ipp.pt:10400.22/8159

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Moreira, Vitor Hugo Magalhães. “ViDi Stat.” 2015. Thesis, Instituto Politécnico do Porto. Accessed November 13, 2019. http://www.rcaap.pt/detail.jsp?id=oai:recipp.ipp.pt:10400.22/8159.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Moreira, Vitor Hugo Magalhães. “ViDi Stat.” 2015. Web. 13 Nov 2019.

Vancouver:

Moreira VHM. ViDi Stat. [Internet] [Thesis]. Instituto Politécnico do Porto; 2015. [cited 2019 Nov 13]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:recipp.ipp.pt:10400.22/8159.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Moreira VHM. ViDi Stat. [Thesis]. Instituto Politécnico do Porto; 2015. Available from: http://www.rcaap.pt/detail.jsp?id=oai:recipp.ipp.pt:10400.22/8159

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Utah State University

28. Xu, Beijie. Understanding Teacher Users of a Digital Library Service: A Clustering Approach.

Degree: PhD, Instructional Technology and Learning Sciences, 2011, Utah State University

  This research examined teachers' online behaviors while using a digital library service – the Instructional Architect (IA) – through three consecutive studies. In the first two… (more)

Subjects/Keywords: Data Mining; Digital Library; Digital Library Evaluation; Educational Data Mining; Instructional Architect; K-12 Digital Library; Technology Education; Computer Sciences; Education; Educational Assessment, Evaluation, and Research

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Xu, B. (2011). Understanding Teacher Users of a Digital Library Service: A Clustering Approach. (Doctoral Dissertation). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/890

Chicago Manual of Style (16th Edition):

Xu, Beijie. “Understanding Teacher Users of a Digital Library Service: A Clustering Approach.” 2011. Doctoral Dissertation, Utah State University. Accessed November 13, 2019. https://digitalcommons.usu.edu/etd/890.

MLA Handbook (7th Edition):

Xu, Beijie. “Understanding Teacher Users of a Digital Library Service: A Clustering Approach.” 2011. Web. 13 Nov 2019.

Vancouver:

Xu B. Understanding Teacher Users of a Digital Library Service: A Clustering Approach. [Internet] [Doctoral dissertation]. Utah State University; 2011. [cited 2019 Nov 13]. Available from: https://digitalcommons.usu.edu/etd/890.

Council of Science Editors:

Xu B. Understanding Teacher Users of a Digital Library Service: A Clustering Approach. [Doctoral Dissertation]. Utah State University; 2011. Available from: https://digitalcommons.usu.edu/etd/890


Univerzitet u Beogradu

29. Išljamović, Sonja. 1985-. Mogućnosti primene poslovne inteligencije za analizu i predviđanje uspeha studiranja.

Degree: Fakultet organizacionih nauka, 2016, Univerzitet u Beogradu

Tehničke nauke / Modelovanje poslovnih sistema i poslovno odlučivanje

Kontinualno obrazovanje i stalno usavršavanje predstavlja jednu od osnovnih paradigmi napretka savremenog društva, zasnovanog na tehničko-tehnološkom… (more)

Subjects/Keywords: business intelligence; educational data mining; university education; study success prediction; regression; neural network

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Išljamović, S. 1. (2016). Mogućnosti primene poslovne inteligencije za analizu i predviđanje uspeha studiranja. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:10357/bdef:Content/get

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Išljamović, Sonja 1985-. “Mogućnosti primene poslovne inteligencije za analizu i predviđanje uspeha studiranja.” 2016. Thesis, Univerzitet u Beogradu. Accessed November 13, 2019. https://fedorabg.bg.ac.rs/fedora/get/o:10357/bdef:Content/get.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Išljamović, Sonja 1985-. “Mogućnosti primene poslovne inteligencije za analizu i predviđanje uspeha studiranja.” 2016. Web. 13 Nov 2019.

Vancouver:

Išljamović S1. Mogućnosti primene poslovne inteligencije za analizu i predviđanje uspeha studiranja. [Internet] [Thesis]. Univerzitet u Beogradu; 2016. [cited 2019 Nov 13]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:10357/bdef:Content/get.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Išljamović S1. Mogućnosti primene poslovne inteligencije za analizu i predviđanje uspeha studiranja. [Thesis]. Univerzitet u Beogradu; 2016. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:10357/bdef:Content/get

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


ETH Zürich

30. Klingler, Severin. Sensor-free learner models for trait discovery and identification in intelligent tutoring systems.

Degree: 2017, ETH Zürich

 Intelligent tutoring systems (ITS) are gaining importance in education, as they can individualize the training for each learner. The individualization relies on the student model… (more)

Subjects/Keywords: intelligent tutoring system; Personality traits; MACHINE LEARNING (ARTIFICIAL INTELLIGENCE); Educational data mining

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Klingler, S. (2017). Sensor-free learner models for trait discovery and identification in intelligent tutoring systems. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/213881

Chicago Manual of Style (16th Edition):

Klingler, Severin. “Sensor-free learner models for trait discovery and identification in intelligent tutoring systems.” 2017. Doctoral Dissertation, ETH Zürich. Accessed November 13, 2019. http://hdl.handle.net/20.500.11850/213881.

MLA Handbook (7th Edition):

Klingler, Severin. “Sensor-free learner models for trait discovery and identification in intelligent tutoring systems.” 2017. Web. 13 Nov 2019.

Vancouver:

Klingler S. Sensor-free learner models for trait discovery and identification in intelligent tutoring systems. [Internet] [Doctoral dissertation]. ETH Zürich; 2017. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/20.500.11850/213881.

Council of Science Editors:

Klingler S. Sensor-free learner models for trait discovery and identification in intelligent tutoring systems. [Doctoral Dissertation]. ETH Zürich; 2017. Available from: http://hdl.handle.net/20.500.11850/213881

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