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You searched for subject:(educational data). Showing records 1 – 30 of 420 total matches.

[1] [2] [3] [4] [5] … [14]

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University of Houston

1. -4085-1454. Design and Implementation of Real-time Student Performance Evaluation and Feedback System.

Degree: MS, Computer Science, 2017, University of Houston

 Undergraduate education is challenged by high dropout rates and by delayed student graduation due to dropping courses or having to repeat courses due to low… (more)

Subjects/Keywords: Educational data mining; Data analysis; Machine learning

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

APA (6th Edition):

-4085-1454. (2017). Design and Implementation of Real-time Student Performance Evaluation and Feedback System. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/4565

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

Chicago Manual of Style (16th Edition):

-4085-1454. “Design and Implementation of Real-time Student Performance Evaluation and Feedback System.” 2017. Masters Thesis, University of Houston. Accessed July 09, 2020. http://hdl.handle.net/10657/4565.

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

MLA Handbook (7th Edition):

-4085-1454. “Design and Implementation of Real-time Student Performance Evaluation and Feedback System.” 2017. Web. 09 Jul 2020.

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

Vancouver:

-4085-1454. Design and Implementation of Real-time Student Performance Evaluation and Feedback System. [Internet] [Masters thesis]. University of Houston; 2017. [cited 2020 Jul 09]. Available from: http://hdl.handle.net/10657/4565.

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

Council of Science Editors:

-4085-1454. Design and Implementation of Real-time Student Performance Evaluation and Feedback System. [Masters Thesis]. University of Houston; 2017. Available from: http://hdl.handle.net/10657/4565

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


University of Saskatchewan

2. 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 (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 July 09, 2020. 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. 09 Jul 2020.

Vancouver:

Liu W. Using data mining to dynamically build up just in time learner models. [Internet] [Thesis]. University of Saskatchewan; 2009. [cited 2020 Jul 09]. 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

3. Chambers, David. Using Assessment Data for Informed Decision-Making in Catholic High Schools.

Degree: Doctorate in Education, Education, 2017, Loyola Marymount University

  School leaders and principals have an obligation to use every tool at their disposal to maximize student achievement. All students deserve the best use… (more)

Subjects/Keywords: Assessment; Data; Educational Leadership

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APA (6th Edition):

Chambers, D. (2017). Using Assessment Data for Informed Decision-Making in Catholic High Schools. (Doctoral Dissertation). Loyola Marymount University. Retrieved from https://digitalcommons.lmu.edu/etd/478

Chicago Manual of Style (16th Edition):

Chambers, David. “Using Assessment Data for Informed Decision-Making in Catholic High Schools.” 2017. Doctoral Dissertation, Loyola Marymount University. Accessed July 09, 2020. https://digitalcommons.lmu.edu/etd/478.

MLA Handbook (7th Edition):

Chambers, David. “Using Assessment Data for Informed Decision-Making in Catholic High Schools.” 2017. Web. 09 Jul 2020.

Vancouver:

Chambers D. Using Assessment Data for Informed Decision-Making in Catholic High Schools. [Internet] [Doctoral dissertation]. Loyola Marymount University; 2017. [cited 2020 Jul 09]. Available from: https://digitalcommons.lmu.edu/etd/478.

Council of Science Editors:

Chambers D. Using Assessment Data for Informed Decision-Making in Catholic High Schools. [Doctoral Dissertation]. Loyola Marymount University; 2017. Available from: https://digitalcommons.lmu.edu/etd/478


Washington State University

4. [No author]. Leadership For Data Use: A study of Three Award-Winning Elementary Schools .

Degree: 2016, Washington State University

Data use is a significant part of a school principal’s responsibility. The principal who leads the development and implementation of a data-driven plan for increasing… (more)

Subjects/Keywords: Educational leadership; data use

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APA (6th Edition):

author], [. (2016). Leadership For Data Use: A study of Three Award-Winning Elementary Schools . (Thesis). Washington State University. Retrieved from http://hdl.handle.net/2376/12013

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):

author], [No. “Leadership For Data Use: A study of Three Award-Winning Elementary Schools .” 2016. Thesis, Washington State University. Accessed July 09, 2020. http://hdl.handle.net/2376/12013.

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

MLA Handbook (7th Edition):

author], [No. “Leadership For Data Use: A study of Three Award-Winning Elementary Schools .” 2016. Web. 09 Jul 2020.

Vancouver:

author] [. Leadership For Data Use: A study of Three Award-Winning Elementary Schools . [Internet] [Thesis]. Washington State University; 2016. [cited 2020 Jul 09]. Available from: http://hdl.handle.net/2376/12013.

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

Council of Science Editors:

author] [. Leadership For Data Use: A study of Three Award-Winning Elementary Schools . [Thesis]. Washington State University; 2016. Available from: http://hdl.handle.net/2376/12013

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


Loughborough University

5. 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 July 09, 2020. 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. 09 Jul 2020.

Vancouver:

Alsuwaiket M. Measuring academic performance of students in Higher Education using data mining techniques. [Internet] [Doctoral dissertation]. Loughborough University; 2018. [cited 2020 Jul 09]. 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

6. Dailey, Matthew D. Learning the Effectiveness of Content and Methodology in an Intelligent Tutoring System.

Degree: MS, 2011, Worcester Polytechnic Institute

 Classroom instruction time is a valuable yet scarce resource to teachers, who must decide how to best meet their objectives by selecting which topics to… (more)

Subjects/Keywords: educational data mining; student modeling

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APA (6th Edition):

Dailey, M. D. (2011). Learning the Effectiveness of Content and Methodology in an Intelligent Tutoring System. (Thesis). Worcester Polytechnic Institute. Retrieved from etd-050311-130924 ; https://digitalcommons.wpi.edu/etd-theses/684

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):

Dailey, Matthew D. “Learning the Effectiveness of Content and Methodology in an Intelligent Tutoring System.” 2011. Thesis, Worcester Polytechnic Institute. Accessed July 09, 2020. etd-050311-130924 ; https://digitalcommons.wpi.edu/etd-theses/684.

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

MLA Handbook (7th Edition):

Dailey, Matthew D. “Learning the Effectiveness of Content and Methodology in an Intelligent Tutoring System.” 2011. Web. 09 Jul 2020.

Vancouver:

Dailey MD. Learning the Effectiveness of Content and Methodology in an Intelligent Tutoring System. [Internet] [Thesis]. Worcester Polytechnic Institute; 2011. [cited 2020 Jul 09]. Available from: etd-050311-130924 ; https://digitalcommons.wpi.edu/etd-theses/684.

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

Council of Science Editors:

Dailey MD. Learning the Effectiveness of Content and Methodology in an Intelligent Tutoring System. [Thesis]. Worcester Polytechnic Institute; 2011. Available from: etd-050311-130924 ; https://digitalcommons.wpi.edu/etd-theses/684

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


UCLA

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

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 July 09, 2020. 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. 09 Jul 2020.

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 2020 Jul 09]. 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


UCLA

8. Chitwood, Nicholas Richard. The Effectiveness of Leadership Behaviors in Influencing Data-Driven Decision-Making by Teachers.

Degree: Education, 2018, UCLA

 This study examined the effect of various district and site level conditions that influence the frequency of teacher data-driven decision-making behaviors. This study is motivated… (more)

Subjects/Keywords: Educational leadership; Educational administration; data-driven decision-making; data-driven leadership

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APA (6th Edition):

Chitwood, N. R. (2018). The Effectiveness of Leadership Behaviors in Influencing Data-Driven Decision-Making by Teachers. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/2jn7d5gd

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):

Chitwood, Nicholas Richard. “The Effectiveness of Leadership Behaviors in Influencing Data-Driven Decision-Making by Teachers.” 2018. Thesis, UCLA. Accessed July 09, 2020. http://www.escholarship.org/uc/item/2jn7d5gd.

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

MLA Handbook (7th Edition):

Chitwood, Nicholas Richard. “The Effectiveness of Leadership Behaviors in Influencing Data-Driven Decision-Making by Teachers.” 2018. Web. 09 Jul 2020.

Vancouver:

Chitwood NR. The Effectiveness of Leadership Behaviors in Influencing Data-Driven Decision-Making by Teachers. [Internet] [Thesis]. UCLA; 2018. [cited 2020 Jul 09]. Available from: http://www.escholarship.org/uc/item/2jn7d5gd.

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

Council of Science Editors:

Chitwood NR. The Effectiveness of Leadership Behaviors in Influencing Data-Driven Decision-Making by Teachers. [Thesis]. UCLA; 2018. Available from: http://www.escholarship.org/uc/item/2jn7d5gd

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

9. 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 (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 July 09, 2020. 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. 09 Jul 2020.

Vancouver:

Zhang J. Exploring and Evaluating the Scalability and Efficiency of Apache Spark using Educational Datasets. [Internet] [Masters thesis]. York University; 2018. [cited 2020 Jul 09]. 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


University of California – Riverside

10. 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 July 09, 2020. 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. 09 Jul 2020.

Vancouver:

Lin H. Estimating Student Competence in Engineering Statics From a Lexical Analysis of Handwritten Equations. [Internet] [Thesis]. University of California – Riverside; 2014. [cited 2020 Jul 09]. 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


Montana Tech

11. Begin, Vicki Sherril. INSTRUCTIONAL DATA TEAMS AND DATA LITERACY: LEADERS SUPPORTING THE WORK OF SCHOOL INSTRUCTIONAL TEAMS.

Degree: Doctor of Education (EdD), 2018, Montana Tech

  A multiple case study was designed to examine the components of data literacy used by formal and informal leaders to support the work of… (more)

Subjects/Keywords: Data; Leadership; Management; School; Teams; Educational Leadership

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APA (6th Edition):

Begin, V. S. (2018). INSTRUCTIONAL DATA TEAMS AND DATA LITERACY: LEADERS SUPPORTING THE WORK OF SCHOOL INSTRUCTIONAL TEAMS. (Doctoral Dissertation). Montana Tech. Retrieved from https://scholarworks.umt.edu/etd/11161

Chicago Manual of Style (16th Edition):

Begin, Vicki Sherril. “INSTRUCTIONAL DATA TEAMS AND DATA LITERACY: LEADERS SUPPORTING THE WORK OF SCHOOL INSTRUCTIONAL TEAMS.” 2018. Doctoral Dissertation, Montana Tech. Accessed July 09, 2020. https://scholarworks.umt.edu/etd/11161.

MLA Handbook (7th Edition):

Begin, Vicki Sherril. “INSTRUCTIONAL DATA TEAMS AND DATA LITERACY: LEADERS SUPPORTING THE WORK OF SCHOOL INSTRUCTIONAL TEAMS.” 2018. Web. 09 Jul 2020.

Vancouver:

Begin VS. INSTRUCTIONAL DATA TEAMS AND DATA LITERACY: LEADERS SUPPORTING THE WORK OF SCHOOL INSTRUCTIONAL TEAMS. [Internet] [Doctoral dissertation]. Montana Tech; 2018. [cited 2020 Jul 09]. Available from: https://scholarworks.umt.edu/etd/11161.

Council of Science Editors:

Begin VS. INSTRUCTIONAL DATA TEAMS AND DATA LITERACY: LEADERS SUPPORTING THE WORK OF SCHOOL INSTRUCTIONAL TEAMS. [Doctoral Dissertation]. Montana Tech; 2018. Available from: https://scholarworks.umt.edu/etd/11161


Columbia University

12. 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 July 09, 2020. 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. 09 Jul 2020.

Vancouver:

Almeda MVQ. When practice does not make perfect: Differentiating between productive and unproductive persistence. [Internet] [Doctoral dissertation]. Columbia University; 2018. [cited 2020 Jul 09]. 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


University of Sydney

13. 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 July 09, 2020. 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. 09 Jul 2020.

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 2020 Jul 09]. 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

14. Wang, Yutao. Student Modeling within a Computer Tutor for Mathematics: Using Bayesian Networks and Tabling Methods.

Degree: PhD, 2015, Worcester Polytechnic Institute

 "Intelligent tutoring systems rely on student modeling to understand student behavior. The result of student modeling can provide assessment for student knowledge, estimation of student¡¯s… (more)

Subjects/Keywords: Student Modeling; Bayesian Networks; Educational Data Mining

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

APA (6th Edition):

Wang, Y. (2015). Student Modeling within a Computer Tutor for Mathematics: Using Bayesian Networks and Tabling Methods. (Doctoral Dissertation). Worcester Polytechnic Institute. Retrieved from etd-091515-182403 ; https://digitalcommons.wpi.edu/etd-dissertations/383

Chicago Manual of Style (16th Edition):

Wang, Yutao. “Student Modeling within a Computer Tutor for Mathematics: Using Bayesian Networks and Tabling Methods.” 2015. Doctoral Dissertation, Worcester Polytechnic Institute. Accessed July 09, 2020. etd-091515-182403 ; https://digitalcommons.wpi.edu/etd-dissertations/383.

MLA Handbook (7th Edition):

Wang, Yutao. “Student Modeling within a Computer Tutor for Mathematics: Using Bayesian Networks and Tabling Methods.” 2015. Web. 09 Jul 2020.

Vancouver:

Wang Y. Student Modeling within a Computer Tutor for Mathematics: Using Bayesian Networks and Tabling Methods. [Internet] [Doctoral dissertation]. Worcester Polytechnic Institute; 2015. [cited 2020 Jul 09]. Available from: etd-091515-182403 ; https://digitalcommons.wpi.edu/etd-dissertations/383.

Council of Science Editors:

Wang Y. Student Modeling within a Computer Tutor for Mathematics: Using Bayesian Networks and Tabling Methods. [Doctoral Dissertation]. Worcester Polytechnic Institute; 2015. Available from: etd-091515-182403 ; https://digitalcommons.wpi.edu/etd-dissertations/383

15. Kehrer, Paul H. Reaching More Students: A Web-based Intelligent Tutoring System with support for Offline Access.

Degree: MS, 2012, Worcester Polytechnic Institute

 ASSISTments is a web-based intelligent tutoring system that can provide students with immediate feedback when they are doing math homework. Until now, ASSISTments required internet… (more)

Subjects/Keywords: educational data mining; intelligent tutoring systems

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APA (6th Edition):

Kehrer, P. H. (2012). Reaching More Students: A Web-based Intelligent Tutoring System with support for Offline Access. (Thesis). Worcester Polytechnic Institute. Retrieved from etd-042612-113955 ; https://digitalcommons.wpi.edu/etd-theses/336

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):

Kehrer, Paul H. “Reaching More Students: A Web-based Intelligent Tutoring System with support for Offline Access.” 2012. Thesis, Worcester Polytechnic Institute. Accessed July 09, 2020. etd-042612-113955 ; https://digitalcommons.wpi.edu/etd-theses/336.

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

MLA Handbook (7th Edition):

Kehrer, Paul H. “Reaching More Students: A Web-based Intelligent Tutoring System with support for Offline Access.” 2012. Web. 09 Jul 2020.

Vancouver:

Kehrer PH. Reaching More Students: A Web-based Intelligent Tutoring System with support for Offline Access. [Internet] [Thesis]. Worcester Polytechnic Institute; 2012. [cited 2020 Jul 09]. Available from: etd-042612-113955 ; https://digitalcommons.wpi.edu/etd-theses/336.

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

Council of Science Editors:

Kehrer PH. Reaching More Students: A Web-based Intelligent Tutoring System with support for Offline Access. [Thesis]. Worcester Polytechnic Institute; 2012. Available from: etd-042612-113955 ; https://digitalcommons.wpi.edu/etd-theses/336

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


Arizona State University

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

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 July 09, 2020. 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. 09 Jul 2020.

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 2020 Jul 09]. 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


UCLA

17. Ho, Jennifer Elizabeth. Cultures and Contexts of Data-Based Decision-Making in Schools.

Degree: Education, 2016, UCLA

 “Data-based decision-making” or “evidence-based decision-making” in education are now popularized phrases to describe the systematic collection and analysis of various types of data to help… (more)

Subjects/Keywords: Educational evaluation; Data; Data-Based Decision-Making; Evidence

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

APA (6th Edition):

Ho, J. E. (2016). Cultures and Contexts of Data-Based Decision-Making in Schools. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/9nn9z1g0

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):

Ho, Jennifer Elizabeth. “Cultures and Contexts of Data-Based Decision-Making in Schools.” 2016. Thesis, UCLA. Accessed July 09, 2020. http://www.escholarship.org/uc/item/9nn9z1g0.

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

MLA Handbook (7th Edition):

Ho, Jennifer Elizabeth. “Cultures and Contexts of Data-Based Decision-Making in Schools.” 2016. Web. 09 Jul 2020.

Vancouver:

Ho JE. Cultures and Contexts of Data-Based Decision-Making in Schools. [Internet] [Thesis]. UCLA; 2016. [cited 2020 Jul 09]. Available from: http://www.escholarship.org/uc/item/9nn9z1g0.

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

Council of Science Editors:

Ho JE. Cultures and Contexts of Data-Based Decision-Making in Schools. [Thesis]. UCLA; 2016. Available from: http://www.escholarship.org/uc/item/9nn9z1g0

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


University of Houston

18. Murrell, Mark 1967-. Principals Can Improve Student Achievement with Data Driven Decision Making.

Degree: EdD, Professional Leadership, 2012, University of Houston

 This study focused on the strategic data that a principal uses to determine the timing of appropriate interventions for students that are at risk for… (more)

Subjects/Keywords: Education; Data; Data decision-making; Educational Achievement; Student identification model; Leadership

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

APA (6th Edition):

Murrell, M. 1. (2012). Principals Can Improve Student Achievement with Data Driven Decision Making. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/591

Chicago Manual of Style (16th Edition):

Murrell, Mark 1967-. “Principals Can Improve Student Achievement with Data Driven Decision Making.” 2012. Doctoral Dissertation, University of Houston. Accessed July 09, 2020. http://hdl.handle.net/10657/591.

MLA Handbook (7th Edition):

Murrell, Mark 1967-. “Principals Can Improve Student Achievement with Data Driven Decision Making.” 2012. Web. 09 Jul 2020.

Vancouver:

Murrell M1. Principals Can Improve Student Achievement with Data Driven Decision Making. [Internet] [Doctoral dissertation]. University of Houston; 2012. [cited 2020 Jul 09]. Available from: http://hdl.handle.net/10657/591.

Council of Science Editors:

Murrell M1. Principals Can Improve Student Achievement with Data Driven Decision Making. [Doctoral Dissertation]. University of Houston; 2012. Available from: http://hdl.handle.net/10657/591


Virginia Tech

19. Torrence, Vera D. Principals' Use of Data: A National Perspective.

Degree: PhD, Educational Leadership and Policy Studies, 2002, Virginia Tech

 The traditional role of America's principals is changing. The educational reform movement defines principals as instructional leaders responsible for creating professional learning communities in which… (more)

Subjects/Keywords: Educational Reform; Data; Educational Leadership

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APA (6th Edition):

Torrence, V. D. (2002). Principals' Use of Data: A National Perspective. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/11048

Chicago Manual of Style (16th Edition):

Torrence, Vera D. “Principals' Use of Data: A National Perspective.” 2002. Doctoral Dissertation, Virginia Tech. Accessed July 09, 2020. http://hdl.handle.net/10919/11048.

MLA Handbook (7th Edition):

Torrence, Vera D. “Principals' Use of Data: A National Perspective.” 2002. Web. 09 Jul 2020.

Vancouver:

Torrence VD. Principals' Use of Data: A National Perspective. [Internet] [Doctoral dissertation]. Virginia Tech; 2002. [cited 2020 Jul 09]. Available from: http://hdl.handle.net/10919/11048.

Council of Science Editors:

Torrence VD. Principals' Use of Data: A National Perspective. [Doctoral Dissertation]. Virginia Tech; 2002. Available from: http://hdl.handle.net/10919/11048


Brigham Young University

20. Nyland, Robert Scott. Using Transaction-Level Data in Online Assessment.

Degree: PhD, 2016, Brigham Young University

 This article format dissertation explores the benefits of using detailed forms of assessment to enable feedback in educational contexts, and includes three separate, yet related… (more)

Subjects/Keywords: data; feedback; performance based assessment; educational technology; Educational Psychology

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

APA (6th Edition):

Nyland, R. S. (2016). Using Transaction-Level Data in Online Assessment. (Doctoral Dissertation). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7437&context=etd

Chicago Manual of Style (16th Edition):

Nyland, Robert Scott. “Using Transaction-Level Data in Online Assessment.” 2016. Doctoral Dissertation, Brigham Young University. Accessed July 09, 2020. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7437&context=etd.

MLA Handbook (7th Edition):

Nyland, Robert Scott. “Using Transaction-Level Data in Online Assessment.” 2016. Web. 09 Jul 2020.

Vancouver:

Nyland RS. Using Transaction-Level Data in Online Assessment. [Internet] [Doctoral dissertation]. Brigham Young University; 2016. [cited 2020 Jul 09]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7437&context=etd.

Council of Science Editors:

Nyland RS. Using Transaction-Level Data in Online Assessment. [Doctoral Dissertation]. Brigham Young University; 2016. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7437&context=etd


University of Notre Dame

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

Degree: 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 (6th Edition):

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

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):

Lathrop, Quinn Nathaniel. “IRT and SVD: Implementing Psychometric Methods in New and Complex Situations</h1>.” 2015. Thesis, University of Notre Dame. Accessed July 09, 2020. https://curate.nd.edu/show/pz50gt56z02.

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

MLA Handbook (7th Edition):

Lathrop, Quinn Nathaniel. “IRT and SVD: Implementing Psychometric Methods in New and Complex Situations</h1>.” 2015. Web. 09 Jul 2020.

Vancouver:

Lathrop QN. IRT and SVD: Implementing Psychometric Methods in New and Complex Situations</h1>. [Internet] [Thesis]. University of Notre Dame; 2015. [cited 2020 Jul 09]. Available from: https://curate.nd.edu/show/pz50gt56z02.

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

Council of Science Editors:

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

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


Boise State University

22. Byrnes, David James, Jr. Using Admissions Data to Create a First-Semester Academic Success Model.

Degree: 2020, Boise State University

 Higher education is attracting more students from diverse background especially at public community colleges. These institutions can help these students attain a quality education at… (more)

Subjects/Keywords: educational technology; educational data mining; learning analytics; early warning systems; modeling; Educational Technology

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

APA (6th Edition):

Byrnes, David James, J. (2020). Using Admissions Data to Create a First-Semester Academic Success Model. (Thesis). Boise State University. Retrieved from https://scholarworks.boisestate.edu/td/1653

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):

Byrnes, David James, Jr. “Using Admissions Data to Create a First-Semester Academic Success Model.” 2020. Thesis, Boise State University. Accessed July 09, 2020. https://scholarworks.boisestate.edu/td/1653.

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

MLA Handbook (7th Edition):

Byrnes, David James, Jr. “Using Admissions Data to Create a First-Semester Academic Success Model.” 2020. Web. 09 Jul 2020.

Vancouver:

Byrnes, David James J. Using Admissions Data to Create a First-Semester Academic Success Model. [Internet] [Thesis]. Boise State University; 2020. [cited 2020 Jul 09]. Available from: https://scholarworks.boisestate.edu/td/1653.

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

Council of Science Editors:

Byrnes, David James J. Using Admissions Data to Create a First-Semester Academic Success Model. [Thesis]. Boise State University; 2020. Available from: https://scholarworks.boisestate.edu/td/1653

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


UCLA

23. Avila, Minerva. The Impact of Gatekeepers on Evaluation Use.

Degree: Education, 2012, UCLA

 By examining the development of a local school reform that was meant to be teacher-driven, this multiple case study explored the limits on evaluation use… (more)

Subjects/Keywords: Education; Educational evaluation; data gatekeepers; data use; education; evaluation; evaluation use; public schools

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

APA (6th Edition):

Avila, M. (2012). The Impact of Gatekeepers on Evaluation Use. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/78w264m4

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):

Avila, Minerva. “The Impact of Gatekeepers on Evaluation Use.” 2012. Thesis, UCLA. Accessed July 09, 2020. http://www.escholarship.org/uc/item/78w264m4.

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

MLA Handbook (7th Edition):

Avila, Minerva. “The Impact of Gatekeepers on Evaluation Use.” 2012. Web. 09 Jul 2020.

Vancouver:

Avila M. The Impact of Gatekeepers on Evaluation Use. [Internet] [Thesis]. UCLA; 2012. [cited 2020 Jul 09]. Available from: http://www.escholarship.org/uc/item/78w264m4.

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

Council of Science Editors:

Avila M. The Impact of Gatekeepers on Evaluation Use. [Thesis]. UCLA; 2012. Available from: http://www.escholarship.org/uc/item/78w264m4

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

24. Woods, Adrienne. Who is Placed in Special Education? Assessing the Longitudinal Profiles, Academic Achievement, and Behavioral Adjustment of Students At-Risk for Special Education Identification.

Degree: PhD, Education & Psychology, 2018, University of Michigan

 This dissertation is comprised of three studies using restricted data from the ECLS-K:1998 to address the questions who is placed in special education? and what… (more)

Subjects/Keywords: special education; longitudinal data; child development; secondary data analysis; educational psychology; Education; Social Sciences

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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

APA (6th Edition):

Woods, A. (2018). Who is Placed in Special Education? Assessing the Longitudinal Profiles, Academic Achievement, and Behavioral Adjustment of Students At-Risk for Special Education Identification. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/146053

Chicago Manual of Style (16th Edition):

Woods, Adrienne. “Who is Placed in Special Education? Assessing the Longitudinal Profiles, Academic Achievement, and Behavioral Adjustment of Students At-Risk for Special Education Identification.” 2018. Doctoral Dissertation, University of Michigan. Accessed July 09, 2020. http://hdl.handle.net/2027.42/146053.

MLA Handbook (7th Edition):

Woods, Adrienne. “Who is Placed in Special Education? Assessing the Longitudinal Profiles, Academic Achievement, and Behavioral Adjustment of Students At-Risk for Special Education Identification.” 2018. Web. 09 Jul 2020.

Vancouver:

Woods A. Who is Placed in Special Education? Assessing the Longitudinal Profiles, Academic Achievement, and Behavioral Adjustment of Students At-Risk for Special Education Identification. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2020 Jul 09]. Available from: http://hdl.handle.net/2027.42/146053.

Council of Science Editors:

Woods A. Who is Placed in Special Education? Assessing the Longitudinal Profiles, Academic Achievement, and Behavioral Adjustment of Students At-Risk for Special Education Identification. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/146053


Iowa State University

25. Schmit, Matthew J. The influence of professional development and culture on data-driven decision making participation among senior and non-senior community college leadership.

Degree: 2017, Iowa State University

 While data collection has increased at all levels of education in recent years, this is only part of the equation for institutions to make quality… (more)

Subjects/Keywords: culture; data-driven decision-making; data quality; leadership; professional development; Educational Administration and Supervision

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

APA (6th Edition):

Schmit, M. J. (2017). The influence of professional development and culture on data-driven decision making participation among senior and non-senior community college leadership. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/15415

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):

Schmit, Matthew J. “The influence of professional development and culture on data-driven decision making participation among senior and non-senior community college leadership.” 2017. Thesis, Iowa State University. Accessed July 09, 2020. https://lib.dr.iastate.edu/etd/15415.

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

MLA Handbook (7th Edition):

Schmit, Matthew J. “The influence of professional development and culture on data-driven decision making participation among senior and non-senior community college leadership.” 2017. Web. 09 Jul 2020.

Vancouver:

Schmit MJ. The influence of professional development and culture on data-driven decision making participation among senior and non-senior community college leadership. [Internet] [Thesis]. Iowa State University; 2017. [cited 2020 Jul 09]. Available from: https://lib.dr.iastate.edu/etd/15415.

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

Council of Science Editors:

Schmit MJ. The influence of professional development and culture on data-driven decision making participation among senior and non-senior community college leadership. [Thesis]. Iowa State University; 2017. Available from: https://lib.dr.iastate.edu/etd/15415

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


University of Washington

26. Beard, Melissa Melei. Educator-driven data use? A case study of P-20 data use in Washington State.

Degree: PhD, 2015, University of Washington

 The federal government has granted states millions of dollars to build longitudinal P-20 data systems. These systems link early learning, K-12, post-secondary and workforce data(more)

Subjects/Keywords: Case study; Data Use; Decision-making; Longitudinal; P-20; Educational leadership; Educational administration; education - seattle

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APA (6th Edition):

Beard, M. M. (2015). Educator-driven data use? A case study of P-20 data use in Washington State. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/33792

Chicago Manual of Style (16th Edition):

Beard, Melissa Melei. “Educator-driven data use? A case study of P-20 data use in Washington State.” 2015. Doctoral Dissertation, University of Washington. Accessed July 09, 2020. http://hdl.handle.net/1773/33792.

MLA Handbook (7th Edition):

Beard, Melissa Melei. “Educator-driven data use? A case study of P-20 data use in Washington State.” 2015. Web. 09 Jul 2020.

Vancouver:

Beard MM. Educator-driven data use? A case study of P-20 data use in Washington State. [Internet] [Doctoral dissertation]. University of Washington; 2015. [cited 2020 Jul 09]. Available from: http://hdl.handle.net/1773/33792.

Council of Science Editors:

Beard MM. Educator-driven data use? A case study of P-20 data use in Washington State. [Doctoral Dissertation]. University of Washington; 2015. Available from: http://hdl.handle.net/1773/33792

27. Martin-Glenn, Mya L. Student Perceptions of School Climate: A Validity and Data Use Study of a District-Developed Survey.

Degree: PhD, Quantitative Research Methods, 2013, U of Denver

  Over the past 25 years, researchers have consistently reported that students' perceptions of their school's climate can have a measurable impact on their level… (more)

Subjects/Keywords: Data use; School climate; Student perceptions; Survey; Educational Assessment, Evaluation, and Research; Educational Psychology

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

APA (6th Edition):

Martin-Glenn, M. L. (2013). Student Perceptions of School Climate: A Validity and Data Use Study of a District-Developed Survey. (Doctoral Dissertation). U of Denver. Retrieved from https://digitalcommons.du.edu/etd/868

Chicago Manual of Style (16th Edition):

Martin-Glenn, Mya L. “Student Perceptions of School Climate: A Validity and Data Use Study of a District-Developed Survey.” 2013. Doctoral Dissertation, U of Denver. Accessed July 09, 2020. https://digitalcommons.du.edu/etd/868.

MLA Handbook (7th Edition):

Martin-Glenn, Mya L. “Student Perceptions of School Climate: A Validity and Data Use Study of a District-Developed Survey.” 2013. Web. 09 Jul 2020.

Vancouver:

Martin-Glenn ML. Student Perceptions of School Climate: A Validity and Data Use Study of a District-Developed Survey. [Internet] [Doctoral dissertation]. U of Denver; 2013. [cited 2020 Jul 09]. Available from: https://digitalcommons.du.edu/etd/868.

Council of Science Editors:

Martin-Glenn ML. Student Perceptions of School Climate: A Validity and Data Use Study of a District-Developed Survey. [Doctoral Dissertation]. U of Denver; 2013. Available from: https://digitalcommons.du.edu/etd/868


Arizona State University

28. 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 (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 July 09, 2020. 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. 09 Jul 2020.

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 2020 Jul 09]. 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 Louisville

29. 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 July 09, 2020. 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. 09 Jul 2020.

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 2020 Jul 09]. 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


Columbia University

30. Hawn, Aaron. Data-wary, Value-driven: Teacher Attitudes, Efficacy, and Online Access for Data-Based Decision Making.

Degree: 2019, Columbia University

 How do teachers use online student assessment data? School districts invest increasing resources in online systems for reporting and analyzing student assessment data, yet few… (more)

Subjects/Keywords: Educational technology; Educational psychology; School management and organization; Teachers – Attitudes; Decision making; Educational evaluation – Data processing

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APA (6th Edition):

Hawn, A. (2019). Data-wary, Value-driven: Teacher Attitudes, Efficacy, and Online Access for Data-Based Decision Making. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/d8-8yme-sb59

Chicago Manual of Style (16th Edition):

Hawn, Aaron. “Data-wary, Value-driven: Teacher Attitudes, Efficacy, and Online Access for Data-Based Decision Making.” 2019. Doctoral Dissertation, Columbia University. Accessed July 09, 2020. https://doi.org/10.7916/d8-8yme-sb59.

MLA Handbook (7th Edition):

Hawn, Aaron. “Data-wary, Value-driven: Teacher Attitudes, Efficacy, and Online Access for Data-Based Decision Making.” 2019. Web. 09 Jul 2020.

Vancouver:

Hawn A. Data-wary, Value-driven: Teacher Attitudes, Efficacy, and Online Access for Data-Based Decision Making. [Internet] [Doctoral dissertation]. Columbia University; 2019. [cited 2020 Jul 09]. Available from: https://doi.org/10.7916/d8-8yme-sb59.

Council of Science Editors:

Hawn A. Data-wary, Value-driven: Teacher Attitudes, Efficacy, and Online Access for Data-Based Decision Making. [Doctoral Dissertation]. Columbia University; 2019. Available from: https://doi.org/10.7916/d8-8yme-sb59

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