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You searched for subject:(Learning analytics). Showing records 1 – 30 of 340 total matches.

[1] [2] [3] [4] [5] … [12]

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University of Illinois – Chicago

1. Alwadei, Abdurahman H. Adaptive Learning Analytics: Understanding Student Learning Behavior and Predicting Academic Success.

Degree: 2019, University of Illinois – Chicago

 A literature search demonstrates a strong interest in adaptive learning technology (ALT), from notable authors, foundations, professional institutions, commercial enterprises, and government agencies (Healy 2015,… (more)

Subjects/Keywords: Adaptive Learning; Learning Analytics; Predection

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

APA (6th Edition):

Alwadei, A. H. (2019). Adaptive Learning Analytics: Understanding Student Learning Behavior and Predicting Academic Success. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/23710

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):

Alwadei, Abdurahman H. “Adaptive Learning Analytics: Understanding Student Learning Behavior and Predicting Academic Success.” 2019. Thesis, University of Illinois – Chicago. Accessed March 05, 2021. http://hdl.handle.net/10027/23710.

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

MLA Handbook (7th Edition):

Alwadei, Abdurahman H. “Adaptive Learning Analytics: Understanding Student Learning Behavior and Predicting Academic Success.” 2019. Web. 05 Mar 2021.

Vancouver:

Alwadei AH. Adaptive Learning Analytics: Understanding Student Learning Behavior and Predicting Academic Success. [Internet] [Thesis]. University of Illinois – Chicago; 2019. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/10027/23710.

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

Council of Science Editors:

Alwadei AH. Adaptive Learning Analytics: Understanding Student Learning Behavior and Predicting Academic Success. [Thesis]. University of Illinois – Chicago; 2019. Available from: http://hdl.handle.net/10027/23710

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


RMIT University

2. Soltanpoor, R. An integrated framework for learning analytics.

Degree: 2018, RMIT University

 Low retention rates have been an ongoing concern, especially among educational institutions amidst expanding their student base and catering to large and diverse student cohorts.… (more)

Subjects/Keywords: Fields of Research; Learning Analytics; Adaptive Learning; Personalized Learning; Prescriptive Analytics; Analytics Framework

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APA (6th Edition):

Soltanpoor, R. (2018). An integrated framework for learning analytics. (Thesis). RMIT University. Retrieved from http://researchbank.rmit.edu.au/view/rmit:162658

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):

Soltanpoor, R. “An integrated framework for learning analytics.” 2018. Thesis, RMIT University. Accessed March 05, 2021. http://researchbank.rmit.edu.au/view/rmit:162658.

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

MLA Handbook (7th Edition):

Soltanpoor, R. “An integrated framework for learning analytics.” 2018. Web. 05 Mar 2021.

Vancouver:

Soltanpoor R. An integrated framework for learning analytics. [Internet] [Thesis]. RMIT University; 2018. [cited 2021 Mar 05]. Available from: http://researchbank.rmit.edu.au/view/rmit:162658.

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

Council of Science Editors:

Soltanpoor R. An integrated framework for learning analytics. [Thesis]. RMIT University; 2018. Available from: http://researchbank.rmit.edu.au/view/rmit:162658

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


NSYSU

3. Lin, Hsiu-Fen. Design and implementation of a mobile application for personal learning analytics.

Degree: Master, Information Management, 2012, NSYSU

Learning analytics focuses on using existing accumulated learning data through analysis related techniques to provide appropriate information to learners and facilitating learners to adjust their… (more)

Subjects/Keywords: Prototyping Implementation; Personalized Mobile Learning Analytics System; Learning Analytics; Mobile Learning

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APA (6th Edition):

Lin, H. (2012). Design and implementation of a mobile application for personal learning analytics. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0118112-120714

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, Hsiu-Fen. “Design and implementation of a mobile application for personal learning analytics.” 2012. Thesis, NSYSU. Accessed March 05, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0118112-120714.

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

MLA Handbook (7th Edition):

Lin, Hsiu-Fen. “Design and implementation of a mobile application for personal learning analytics.” 2012. Web. 05 Mar 2021.

Vancouver:

Lin H. Design and implementation of a mobile application for personal learning analytics. [Internet] [Thesis]. NSYSU; 2012. [cited 2021 Mar 05]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0118112-120714.

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. Design and implementation of a mobile application for personal learning analytics. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0118112-120714

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

4. Burrows, Joel. The objective ear: a tool for assessing music education progress.

Degree: 2018, Athabasca University

The objective ear is an application that, given a pair of performances of a piece of music, judges the amount of progress made between the… (more)

Subjects/Keywords: Learning Analytics; Music Education

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APA (6th Edition):

Burrows, J. (2018). The objective ear: a tool for assessing music education progress. (Thesis). Athabasca University. Retrieved from http://hdl.handle.net/10791/271

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):

Burrows, Joel. “The objective ear: a tool for assessing music education progress.” 2018. Thesis, Athabasca University. Accessed March 05, 2021. http://hdl.handle.net/10791/271.

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

MLA Handbook (7th Edition):

Burrows, Joel. “The objective ear: a tool for assessing music education progress.” 2018. Web. 05 Mar 2021.

Vancouver:

Burrows J. The objective ear: a tool for assessing music education progress. [Internet] [Thesis]. Athabasca University; 2018. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/10791/271.

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

Council of Science Editors:

Burrows J. The objective ear: a tool for assessing music education progress. [Thesis]. Athabasca University; 2018. Available from: http://hdl.handle.net/10791/271

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


University of Edinburgh

5. Matcha, Wannisa. Tracing learning strategies in online learning environments : a learning analytics approach.

Degree: PhD, 2020, University of Edinburgh

Learning has expanded beyond formal education; yet, students continue to face the challenge of how to effectively direct their learning. Among the processes of learning,… (more)

Subjects/Keywords: learning analytics; learning strategies; educational data mining

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

APA (6th Edition):

Matcha, W. (2020). Tracing learning strategies in online learning environments : a learning analytics approach. (Doctoral Dissertation). University of Edinburgh. Retrieved from https://doi.org/10.7488/era/611 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.818634

Chicago Manual of Style (16th Edition):

Matcha, Wannisa. “Tracing learning strategies in online learning environments : a learning analytics approach.” 2020. Doctoral Dissertation, University of Edinburgh. Accessed March 05, 2021. https://doi.org/10.7488/era/611 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.818634.

MLA Handbook (7th Edition):

Matcha, Wannisa. “Tracing learning strategies in online learning environments : a learning analytics approach.” 2020. Web. 05 Mar 2021.

Vancouver:

Matcha W. Tracing learning strategies in online learning environments : a learning analytics approach. [Internet] [Doctoral dissertation]. University of Edinburgh; 2020. [cited 2021 Mar 05]. Available from: https://doi.org/10.7488/era/611 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.818634.

Council of Science Editors:

Matcha W. Tracing learning strategies in online learning environments : a learning analytics approach. [Doctoral Dissertation]. University of Edinburgh; 2020. Available from: https://doi.org/10.7488/era/611 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.818634


University of Ontario Institute of Technology

6. Weagant, Riley. Supporting student success with machine learning and visual analytics.

Degree: 2019, University of Ontario Institute of Technology

 Post secondary institutions have a wealth of student data at their disposal. This data has recently been used to explore a problem that has been… (more)

Subjects/Keywords: Visual analytics; Machine learning; Student retention; Education; Predictive analytics

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

APA (6th Edition):

Weagant, R. (2019). Supporting student success with machine learning and visual analytics. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/1110

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):

Weagant, Riley. “Supporting student success with machine learning and visual analytics.” 2019. Thesis, University of Ontario Institute of Technology. Accessed March 05, 2021. http://hdl.handle.net/10155/1110.

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

MLA Handbook (7th Edition):

Weagant, Riley. “Supporting student success with machine learning and visual analytics.” 2019. Web. 05 Mar 2021.

Vancouver:

Weagant R. Supporting student success with machine learning and visual analytics. [Internet] [Thesis]. University of Ontario Institute of Technology; 2019. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/10155/1110.

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

Council of Science Editors:

Weagant R. Supporting student success with machine learning and visual analytics. [Thesis]. University of Ontario Institute of Technology; 2019. Available from: http://hdl.handle.net/10155/1110

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


Rochester Institute of Technology

7. Cao, Jingyu. The Role of AI & Big Data in Habit Formation.

Degree: MFA, School of Design (CAD), 2020, Rochester Institute of Technology

  Forming habits are not easy for everyone. It requires professional methods and strong perseverance, which people usually feel hard to do by themself. However,… (more)

Subjects/Keywords: AI analytics; Big data analytics; Habit formation; Machine learning

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APA (6th Edition):

Cao, J. (2020). The Role of AI & Big Data in Habit Formation. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/10632

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):

Cao, Jingyu. “The Role of AI & Big Data in Habit Formation.” 2020. Thesis, Rochester Institute of Technology. Accessed March 05, 2021. https://scholarworks.rit.edu/theses/10632.

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

MLA Handbook (7th Edition):

Cao, Jingyu. “The Role of AI & Big Data in Habit Formation.” 2020. Web. 05 Mar 2021.

Vancouver:

Cao J. The Role of AI & Big Data in Habit Formation. [Internet] [Thesis]. Rochester Institute of Technology; 2020. [cited 2021 Mar 05]. Available from: https://scholarworks.rit.edu/theses/10632.

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

Council of Science Editors:

Cao J. The Role of AI & Big Data in Habit Formation. [Thesis]. Rochester Institute of Technology; 2020. Available from: https://scholarworks.rit.edu/theses/10632

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


University of Toronto

8. Nalchigar, Soroosh. From Business Goals to Analytics and Machine Learning Solutions: A Conceptual Modeling Framework.

Degree: PhD, 2020, University of Toronto

 Machine learning and analytical techniques are increasingly becoming an integral part of many types of information systems. Despite the hype around these technologies, modern organizations… (more)

Subjects/Keywords: Business Analytics; Conceptual Modeling; Data Analytics; Machine Learning; Requirements Engineering; 0984

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

APA (6th Edition):

Nalchigar, S. (2020). From Business Goals to Analytics and Machine Learning Solutions: A Conceptual Modeling Framework. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/103348

Chicago Manual of Style (16th Edition):

Nalchigar, Soroosh. “From Business Goals to Analytics and Machine Learning Solutions: A Conceptual Modeling Framework.” 2020. Doctoral Dissertation, University of Toronto. Accessed March 05, 2021. http://hdl.handle.net/1807/103348.

MLA Handbook (7th Edition):

Nalchigar, Soroosh. “From Business Goals to Analytics and Machine Learning Solutions: A Conceptual Modeling Framework.” 2020. Web. 05 Mar 2021.

Vancouver:

Nalchigar S. From Business Goals to Analytics and Machine Learning Solutions: A Conceptual Modeling Framework. [Internet] [Doctoral dissertation]. University of Toronto; 2020. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1807/103348.

Council of Science Editors:

Nalchigar S. From Business Goals to Analytics and Machine Learning Solutions: A Conceptual Modeling Framework. [Doctoral Dissertation]. University of Toronto; 2020. Available from: http://hdl.handle.net/1807/103348


Hong Kong University of Science and Technology

9. Ming, Yao CSE. Visualization for explainable machine learning.

Degree: 2019, Hong Kong University of Science and Technology

 With the recent advancements of machine learning, especially deep learning, we have seen fast-growing applications of these intelligent systems in various domains. However, the increasing… (more)

Subjects/Keywords: Machine learning ; Information visualization ; Visual analytics

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APA (6th Edition):

Ming, Y. C. (2019). Visualization for explainable machine learning. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-104003 ; https://doi.org/10.14711/thesis-991012786067703412 ; http://repository.ust.hk/ir/bitstream/1783.1-104003/1/th_redirect.html

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):

Ming, Yao CSE. “Visualization for explainable machine learning.” 2019. Thesis, Hong Kong University of Science and Technology. Accessed March 05, 2021. http://repository.ust.hk/ir/Record/1783.1-104003 ; https://doi.org/10.14711/thesis-991012786067703412 ; http://repository.ust.hk/ir/bitstream/1783.1-104003/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Ming, Yao CSE. “Visualization for explainable machine learning.” 2019. Web. 05 Mar 2021.

Vancouver:

Ming YC. Visualization for explainable machine learning. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2019. [cited 2021 Mar 05]. Available from: http://repository.ust.hk/ir/Record/1783.1-104003 ; https://doi.org/10.14711/thesis-991012786067703412 ; http://repository.ust.hk/ir/bitstream/1783.1-104003/1/th_redirect.html.

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

Council of Science Editors:

Ming YC. Visualization for explainable machine learning. [Thesis]. Hong Kong University of Science and Technology; 2019. Available from: http://repository.ust.hk/ir/Record/1783.1-104003 ; https://doi.org/10.14711/thesis-991012786067703412 ; http://repository.ust.hk/ir/bitstream/1783.1-104003/1/th_redirect.html

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


IUPUI

10. Li, Huang. Visual Analytics and Interactive Machine Learning for Human Brain Data.

Degree: 2019, IUPUI

Indiana University-Purdue University Indianapolis (IUPUI)

This study mainly focuses on applying visualization techniques on human brain data for data exploration, quality control, and hypothesis discovery.… (more)

Subjects/Keywords: Visual analytics; Visualization; Machine learning; Neural network

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

APA (6th Edition):

Li, H. (2019). Visual Analytics and Interactive Machine Learning for Human Brain Data. (Thesis). IUPUI. Retrieved from http://hdl.handle.net/1805/19923

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, Huang. “Visual Analytics and Interactive Machine Learning for Human Brain Data.” 2019. Thesis, IUPUI. Accessed March 05, 2021. http://hdl.handle.net/1805/19923.

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

MLA Handbook (7th Edition):

Li, Huang. “Visual Analytics and Interactive Machine Learning for Human Brain Data.” 2019. Web. 05 Mar 2021.

Vancouver:

Li H. Visual Analytics and Interactive Machine Learning for Human Brain Data. [Internet] [Thesis]. IUPUI; 2019. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1805/19923.

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

Council of Science Editors:

Li H. Visual Analytics and Interactive Machine Learning for Human Brain Data. [Thesis]. IUPUI; 2019. Available from: http://hdl.handle.net/1805/19923

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


Universidade do Rio Grande do Norte

11. Brasil, Pedrina Célia. Um processo analítico de dados educacionais: uma abordagem baseada nos dados socioeconômicos e educacionais dos alunos .

Degree: 2019, Universidade do Rio Grande do Norte

 The Federal Institute of Education, Science and Technology of Rio Grande do Norte (IFRN) has as mission the social transformation of the region in which… (more)

Subjects/Keywords: Learning analytics; Ambientes virtuais de aprendizagem; IFRN

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APA (6th Edition):

Brasil, P. C. (2019). Um processo analítico de dados educacionais: uma abordagem baseada nos dados socioeconômicos e educacionais dos alunos . (Masters Thesis). Universidade do Rio Grande do Norte. Retrieved from http://repositorio.ufrn.br/handle/123456789/28336

Chicago Manual of Style (16th Edition):

Brasil, Pedrina Célia. “Um processo analítico de dados educacionais: uma abordagem baseada nos dados socioeconômicos e educacionais dos alunos .” 2019. Masters Thesis, Universidade do Rio Grande do Norte. Accessed March 05, 2021. http://repositorio.ufrn.br/handle/123456789/28336.

MLA Handbook (7th Edition):

Brasil, Pedrina Célia. “Um processo analítico de dados educacionais: uma abordagem baseada nos dados socioeconômicos e educacionais dos alunos .” 2019. Web. 05 Mar 2021.

Vancouver:

Brasil PC. Um processo analítico de dados educacionais: uma abordagem baseada nos dados socioeconômicos e educacionais dos alunos . [Internet] [Masters thesis]. Universidade do Rio Grande do Norte; 2019. [cited 2021 Mar 05]. Available from: http://repositorio.ufrn.br/handle/123456789/28336.

Council of Science Editors:

Brasil PC. Um processo analítico de dados educacionais: uma abordagem baseada nos dados socioeconômicos e educacionais dos alunos . [Masters Thesis]. Universidade do Rio Grande do Norte; 2019. Available from: http://repositorio.ufrn.br/handle/123456789/28336


Virginia Tech

12. Straub, Kayla Marie. Data Mining Academic Emails to Model Employee Behaviors and Analyze Organizational Structure.

Degree: MS, Electrical Engineering, 2016, Virginia Tech

 Email correspondence has become the predominant method of communication for businesses. If not for the inherent privacy concerns, this electronically searchable data could be used… (more)

Subjects/Keywords: Data analytics; machine learning; social computing

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APA (6th Edition):

Straub, K. M. (2016). Data Mining Academic Emails to Model Employee Behaviors and Analyze Organizational Structure. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/71320

Chicago Manual of Style (16th Edition):

Straub, Kayla Marie. “Data Mining Academic Emails to Model Employee Behaviors and Analyze Organizational Structure.” 2016. Masters Thesis, Virginia Tech. Accessed March 05, 2021. http://hdl.handle.net/10919/71320.

MLA Handbook (7th Edition):

Straub, Kayla Marie. “Data Mining Academic Emails to Model Employee Behaviors and Analyze Organizational Structure.” 2016. Web. 05 Mar 2021.

Vancouver:

Straub KM. Data Mining Academic Emails to Model Employee Behaviors and Analyze Organizational Structure. [Internet] [Masters thesis]. Virginia Tech; 2016. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/10919/71320.

Council of Science Editors:

Straub KM. Data Mining Academic Emails to Model Employee Behaviors and Analyze Organizational Structure. [Masters Thesis]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/71320


Tampere University

13. Heinsuo, Leo. Smart Ticketing: Continuous learning system for document classification .

Degree: 2020, Tampere University

 The purpose of this thesis is to showcase how to build a continuous learning system for document classification. A project done at CGI NEAAS, which… (more)

Subjects/Keywords: Machine Learning ; Text analytics ; NLP ; Azure ; MLOps

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

APA (6th Edition):

Heinsuo, L. (2020). Smart Ticketing: Continuous learning system for document classification . (Masters Thesis). Tampere University. Retrieved from https://trepo.tuni.fi/handle/10024/122011

Chicago Manual of Style (16th Edition):

Heinsuo, Leo. “Smart Ticketing: Continuous learning system for document classification .” 2020. Masters Thesis, Tampere University. Accessed March 05, 2021. https://trepo.tuni.fi/handle/10024/122011.

MLA Handbook (7th Edition):

Heinsuo, Leo. “Smart Ticketing: Continuous learning system for document classification .” 2020. Web. 05 Mar 2021.

Vancouver:

Heinsuo L. Smart Ticketing: Continuous learning system for document classification . [Internet] [Masters thesis]. Tampere University; 2020. [cited 2021 Mar 05]. Available from: https://trepo.tuni.fi/handle/10024/122011.

Council of Science Editors:

Heinsuo L. Smart Ticketing: Continuous learning system for document classification . [Masters Thesis]. Tampere University; 2020. Available from: https://trepo.tuni.fi/handle/10024/122011


University of Waterloo

14. Li, Yitong. Documentation-Guided Fuzzing for Testing Deep Learning API Functions.

Degree: 2020, University of Waterloo

 Widely-used deep learning (DL) libraries demand reliability. Thus, it is integral to test DL libraries’ API functions. Despite the effectiveness of fuzz testing, there are… (more)

Subjects/Keywords: fuzzing; testing; text analytics; deep learning

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APA (6th Edition):

Li, Y. (2020). Documentation-Guided Fuzzing for Testing Deep Learning API Functions. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/16589

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, Yitong. “Documentation-Guided Fuzzing for Testing Deep Learning API Functions.” 2020. Thesis, University of Waterloo. Accessed March 05, 2021. http://hdl.handle.net/10012/16589.

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

MLA Handbook (7th Edition):

Li, Yitong. “Documentation-Guided Fuzzing for Testing Deep Learning API Functions.” 2020. Web. 05 Mar 2021.

Vancouver:

Li Y. Documentation-Guided Fuzzing for Testing Deep Learning API Functions. [Internet] [Thesis]. University of Waterloo; 2020. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/10012/16589.

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

Council of Science Editors:

Li Y. Documentation-Guided Fuzzing for Testing Deep Learning API Functions. [Thesis]. University of Waterloo; 2020. Available from: http://hdl.handle.net/10012/16589

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


University of Toronto

15. Vogt, Krista Lee. Measuring Student Engagement Using Learning Management Systems.

Degree: PhD, 2016, University of Toronto

 In less than two decades, learning management systems (LMS) have gone from being a rarity to having near-ubiquitous presence on Canadian college campuses. This wide-spread… (more)

Subjects/Keywords: academic analytics; learning analytics; learning management systems; LMS; online; student engagement; 0745

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

APA (6th Edition):

Vogt, K. L. (2016). Measuring Student Engagement Using Learning Management Systems. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/73213

Chicago Manual of Style (16th Edition):

Vogt, Krista Lee. “Measuring Student Engagement Using Learning Management Systems.” 2016. Doctoral Dissertation, University of Toronto. Accessed March 05, 2021. http://hdl.handle.net/1807/73213.

MLA Handbook (7th Edition):

Vogt, Krista Lee. “Measuring Student Engagement Using Learning Management Systems.” 2016. Web. 05 Mar 2021.

Vancouver:

Vogt KL. Measuring Student Engagement Using Learning Management Systems. [Internet] [Doctoral dissertation]. University of Toronto; 2016. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1807/73213.

Council of Science Editors:

Vogt KL. Measuring Student Engagement Using Learning Management Systems. [Doctoral Dissertation]. University of Toronto; 2016. Available from: http://hdl.handle.net/1807/73213


University of Florida

16. Grant, Christan Earl. Query-Driven Text Analytics for Knowledge Extraction, Resolution, and Inference.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2015, University of Florida

 With the precipitous increase in data, performing text analytics using traditional methods has become increasingly dificult. From now until 2020 the world's data is predicted… (more)

Subjects/Keywords: Analytics; Canopy; Databases; Datasets; Inference; Knowledge bases; Machine learning; Scheduling; SQL; Text analytics; analytics  – coreference  – database  – large-scale  – query  – query-driven

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

APA (6th Edition):

Grant, C. E. (2015). Query-Driven Text Analytics for Knowledge Extraction, Resolution, and Inference. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0049144

Chicago Manual of Style (16th Edition):

Grant, Christan Earl. “Query-Driven Text Analytics for Knowledge Extraction, Resolution, and Inference.” 2015. Doctoral Dissertation, University of Florida. Accessed March 05, 2021. https://ufdc.ufl.edu/UFE0049144.

MLA Handbook (7th Edition):

Grant, Christan Earl. “Query-Driven Text Analytics for Knowledge Extraction, Resolution, and Inference.” 2015. Web. 05 Mar 2021.

Vancouver:

Grant CE. Query-Driven Text Analytics for Knowledge Extraction, Resolution, and Inference. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2021 Mar 05]. Available from: https://ufdc.ufl.edu/UFE0049144.

Council of Science Editors:

Grant CE. Query-Driven Text Analytics for Knowledge Extraction, Resolution, and Inference. [Doctoral Dissertation]. University of Florida; 2015. Available from: https://ufdc.ufl.edu/UFE0049144


Arizona State University

17. Pandhalkudi Govindarajan, Sesha Kumar. Bridging Cyber and Physical Programming Classes: An Application of Semantic Visual Analytics for Programming Exams.

Degree: Computer Science, 2016, Arizona State University

 With the advent of Massive Open Online Courses (MOOCs) educators have the opportunity to collect data from students and use it to derive insightful information… (more)

Subjects/Keywords: Educational technology; Educational evaluation; Computer science; Intelligent authoring; Learning Analytics; Orchestration technology; Programming; Semantic Analytics; Visual Analytics

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

APA (6th Edition):

Pandhalkudi Govindarajan, S. K. (2016). Bridging Cyber and Physical Programming Classes: An Application of Semantic Visual Analytics for Programming Exams. (Masters Thesis). Arizona State University. Retrieved from http://repository.asu.edu/items/38667

Chicago Manual of Style (16th Edition):

Pandhalkudi Govindarajan, Sesha Kumar. “Bridging Cyber and Physical Programming Classes: An Application of Semantic Visual Analytics for Programming Exams.” 2016. Masters Thesis, Arizona State University. Accessed March 05, 2021. http://repository.asu.edu/items/38667.

MLA Handbook (7th Edition):

Pandhalkudi Govindarajan, Sesha Kumar. “Bridging Cyber and Physical Programming Classes: An Application of Semantic Visual Analytics for Programming Exams.” 2016. Web. 05 Mar 2021.

Vancouver:

Pandhalkudi Govindarajan SK. Bridging Cyber and Physical Programming Classes: An Application of Semantic Visual Analytics for Programming Exams. [Internet] [Masters thesis]. Arizona State University; 2016. [cited 2021 Mar 05]. Available from: http://repository.asu.edu/items/38667.

Council of Science Editors:

Pandhalkudi Govindarajan SK. Bridging Cyber and Physical Programming Classes: An Application of Semantic Visual Analytics for Programming Exams. [Masters Thesis]. Arizona State University; 2016. Available from: http://repository.asu.edu/items/38667


Queensland University of Technology

18. Gibson, Andrew P. Reflective writing analytics and transepistemic abduction.

Degree: 2017, Queensland University of Technology

 This thesis presents a model of Reflective Writing Analytics which brings together two distinct ways of knowing: the human world of individuals in society, and… (more)

Subjects/Keywords: reflective writing analytics; transepistemic abduction; abductive reasoning; learning analytics; epistemology; computational analysis

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APA (6th Edition):

Gibson, A. P. (2017). Reflective writing analytics and transepistemic abduction. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/106952/

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):

Gibson, Andrew P. “Reflective writing analytics and transepistemic abduction.” 2017. Thesis, Queensland University of Technology. Accessed March 05, 2021. https://eprints.qut.edu.au/106952/.

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

MLA Handbook (7th Edition):

Gibson, Andrew P. “Reflective writing analytics and transepistemic abduction.” 2017. Web. 05 Mar 2021.

Vancouver:

Gibson AP. Reflective writing analytics and transepistemic abduction. [Internet] [Thesis]. Queensland University of Technology; 2017. [cited 2021 Mar 05]. Available from: https://eprints.qut.edu.au/106952/.

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

Council of Science Editors:

Gibson AP. Reflective writing analytics and transepistemic abduction. [Thesis]. Queensland University of Technology; 2017. Available from: https://eprints.qut.edu.au/106952/

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


Penn State University

19. Lim, Sunghoon. EVENT DETECTION AND PREDICTION USING ONLINE USER GENERATED DATA.

Degree: 2018, Penn State University

 Data-driven event detection and prediction are a fundamental research challenge of the 21st century. Data-driven event detection and prediction provide valuable current and future knowledge… (more)

Subjects/Keywords: Machine Learning; Text Mining; Social Media Analytics; Online Data Analytics; Event Detection; Event Prediction

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

APA (6th Edition):

Lim, S. (2018). EVENT DETECTION AND PREDICTION USING ONLINE USER GENERATED DATA. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15041sxl441

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):

Lim, Sunghoon. “EVENT DETECTION AND PREDICTION USING ONLINE USER GENERATED DATA.” 2018. Thesis, Penn State University. Accessed March 05, 2021. https://submit-etda.libraries.psu.edu/catalog/15041sxl441.

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

MLA Handbook (7th Edition):

Lim, Sunghoon. “EVENT DETECTION AND PREDICTION USING ONLINE USER GENERATED DATA.” 2018. Web. 05 Mar 2021.

Vancouver:

Lim S. EVENT DETECTION AND PREDICTION USING ONLINE USER GENERATED DATA. [Internet] [Thesis]. Penn State University; 2018. [cited 2021 Mar 05]. Available from: https://submit-etda.libraries.psu.edu/catalog/15041sxl441.

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

Council of Science Editors:

Lim S. EVENT DETECTION AND PREDICTION USING ONLINE USER GENERATED DATA. [Thesis]. Penn State University; 2018. Available from: https://submit-etda.libraries.psu.edu/catalog/15041sxl441

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


Princeton University

20. Zhang, Haoyu. Resource Management for Advanced Data Analytics at Large Scale .

Degree: PhD, 2018, Princeton University

 The rapidly growing size of data and the complexity of analytics present new challenges for large-scale data analytics systems. Modern distributed computing frameworks need to… (more)

Subjects/Keywords: Big-Data Analytics; Cloud Computing; Distributed Machine Learning; Distributed Systems; Resource Scheduling; Video Analytics

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

APA (6th Edition):

Zhang, H. (2018). Resource Management for Advanced Data Analytics at Large Scale . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp019019s5171

Chicago Manual of Style (16th Edition):

Zhang, Haoyu. “Resource Management for Advanced Data Analytics at Large Scale .” 2018. Doctoral Dissertation, Princeton University. Accessed March 05, 2021. http://arks.princeton.edu/ark:/88435/dsp019019s5171.

MLA Handbook (7th Edition):

Zhang, Haoyu. “Resource Management for Advanced Data Analytics at Large Scale .” 2018. Web. 05 Mar 2021.

Vancouver:

Zhang H. Resource Management for Advanced Data Analytics at Large Scale . [Internet] [Doctoral dissertation]. Princeton University; 2018. [cited 2021 Mar 05]. Available from: http://arks.princeton.edu/ark:/88435/dsp019019s5171.

Council of Science Editors:

Zhang H. Resource Management for Advanced Data Analytics at Large Scale . [Doctoral Dissertation]. Princeton University; 2018. Available from: http://arks.princeton.edu/ark:/88435/dsp019019s5171


Open Universiteit Nederland

21. Van Mourik, Daniëlle. The effects of scaffolding and feedback adaptive to the characteristics of the learner on learning progress and performance for the purpose of personalized learning.

Degree: Master, Faculty of Educational Sciences, 2020, Open Universiteit Nederland

 Learners can differ in a number of ways. However, in current education differences are rarely taken into account, which means that courses are the same… (more)

Subjects/Keywords: personalized learning; learning strategies; scaffolding; feedback; adaptive learning environment; learner characteristics; learning analytics

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

APA (6th Edition):

Van Mourik, D. (2020). The effects of scaffolding and feedback adaptive to the characteristics of the learner on learning progress and performance for the purpose of personalized learning. (Masters Thesis). Open Universiteit Nederland. Retrieved from http://hdl.handle.net/1820/5c31ee3d-b0c0-430a-a5a0-5f60479e7215

Chicago Manual of Style (16th Edition):

Van Mourik, Daniëlle. “The effects of scaffolding and feedback adaptive to the characteristics of the learner on learning progress and performance for the purpose of personalized learning.” 2020. Masters Thesis, Open Universiteit Nederland. Accessed March 05, 2021. http://hdl.handle.net/1820/5c31ee3d-b0c0-430a-a5a0-5f60479e7215.

MLA Handbook (7th Edition):

Van Mourik, Daniëlle. “The effects of scaffolding and feedback adaptive to the characteristics of the learner on learning progress and performance for the purpose of personalized learning.” 2020. Web. 05 Mar 2021.

Vancouver:

Van Mourik D. The effects of scaffolding and feedback adaptive to the characteristics of the learner on learning progress and performance for the purpose of personalized learning. [Internet] [Masters thesis]. Open Universiteit Nederland; 2020. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1820/5c31ee3d-b0c0-430a-a5a0-5f60479e7215.

Council of Science Editors:

Van Mourik D. The effects of scaffolding and feedback adaptive to the characteristics of the learner on learning progress and performance for the purpose of personalized learning. [Masters Thesis]. Open Universiteit Nederland; 2020. Available from: http://hdl.handle.net/1820/5c31ee3d-b0c0-430a-a5a0-5f60479e7215


University of California – Berkeley

22. Scott, John Michael. Configurations of Community and Collaboration in Online Learning: An Assemblage Approach.

Degree: Education, 2018, University of California – Berkeley

 Delivering engaging and rigorous learning experiences in online environments has become a key priority for higher education institutions, driving prolific innovation in tools, pedagogy, and… (more)

Subjects/Keywords: Educational technology; Educational philosophy; assemblage; collaborative learning; learning analytics; online learning; remix; social learning

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APA (6th Edition):

Scott, J. M. (2018). Configurations of Community and Collaboration in Online Learning: An Assemblage Approach. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/5kh5b964

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):

Scott, John Michael. “Configurations of Community and Collaboration in Online Learning: An Assemblage Approach.” 2018. Thesis, University of California – Berkeley. Accessed March 05, 2021. http://www.escholarship.org/uc/item/5kh5b964.

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

MLA Handbook (7th Edition):

Scott, John Michael. “Configurations of Community and Collaboration in Online Learning: An Assemblage Approach.” 2018. Web. 05 Mar 2021.

Vancouver:

Scott JM. Configurations of Community and Collaboration in Online Learning: An Assemblage Approach. [Internet] [Thesis]. University of California – Berkeley; 2018. [cited 2021 Mar 05]. Available from: http://www.escholarship.org/uc/item/5kh5b964.

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

Council of Science Editors:

Scott JM. Configurations of Community and Collaboration in Online Learning: An Assemblage Approach. [Thesis]. University of California – Berkeley; 2018. Available from: http://www.escholarship.org/uc/item/5kh5b964

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


Universiteit Utrecht

23. Leeuwen, A. van. Teacher regulation of CSCL: Exploring the complexity of teacher regulation and the supporting role of learning analytics.

Degree: 2015, Universiteit Utrecht

 During computer-supported collaborative learning (CSCL), students collaboratively solve tasks while being supported by computers. CSCL is beneficial for collaboration because it offers students a platform… (more)

Subjects/Keywords: teaching; computer-supported collaborative learning; learning analytics; secondary education

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APA (6th Edition):

Leeuwen, A. v. (2015). Teacher regulation of CSCL: Exploring the complexity of teacher regulation and the supporting role of learning analytics. (Doctoral Dissertation). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/313223

Chicago Manual of Style (16th Edition):

Leeuwen, A van. “Teacher regulation of CSCL: Exploring the complexity of teacher regulation and the supporting role of learning analytics.” 2015. Doctoral Dissertation, Universiteit Utrecht. Accessed March 05, 2021. http://dspace.library.uu.nl:8080/handle/1874/313223.

MLA Handbook (7th Edition):

Leeuwen, A van. “Teacher regulation of CSCL: Exploring the complexity of teacher regulation and the supporting role of learning analytics.” 2015. Web. 05 Mar 2021.

Vancouver:

Leeuwen Av. Teacher regulation of CSCL: Exploring the complexity of teacher regulation and the supporting role of learning analytics. [Internet] [Doctoral dissertation]. Universiteit Utrecht; 2015. [cited 2021 Mar 05]. Available from: http://dspace.library.uu.nl:8080/handle/1874/313223.

Council of Science Editors:

Leeuwen Av. Teacher regulation of CSCL: Exploring the complexity of teacher regulation and the supporting role of learning analytics. [Doctoral Dissertation]. Universiteit Utrecht; 2015. Available from: http://dspace.library.uu.nl:8080/handle/1874/313223

24. Guarcello, Maureen Augusta. Blended Learning and Bottlenecks in the California State University System: An Empirical Look at the Importance of Demographic and Performance Analytics.

Degree: PhD, Leadership Studies, 2015, University of San Diego

  In Fall 2014 over 460,000 students enrolled in the 23-campus California State University system; unfortunately, more than 20,000 qualified applicants were denied admission due… (more)

Subjects/Keywords: blended learning; learning analytics; student success; higher education

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APA (6th Edition):

Guarcello, M. A. (2015). Blended Learning and Bottlenecks in the California State University System: An Empirical Look at the Importance of Demographic and Performance Analytics. (Doctoral Dissertation). University of San Diego. Retrieved from https://digital.sandiego.edu/dissertations/1

Chicago Manual of Style (16th Edition):

Guarcello, Maureen Augusta. “Blended Learning and Bottlenecks in the California State University System: An Empirical Look at the Importance of Demographic and Performance Analytics.” 2015. Doctoral Dissertation, University of San Diego. Accessed March 05, 2021. https://digital.sandiego.edu/dissertations/1.

MLA Handbook (7th Edition):

Guarcello, Maureen Augusta. “Blended Learning and Bottlenecks in the California State University System: An Empirical Look at the Importance of Demographic and Performance Analytics.” 2015. Web. 05 Mar 2021.

Vancouver:

Guarcello MA. Blended Learning and Bottlenecks in the California State University System: An Empirical Look at the Importance of Demographic and Performance Analytics. [Internet] [Doctoral dissertation]. University of San Diego; 2015. [cited 2021 Mar 05]. Available from: https://digital.sandiego.edu/dissertations/1.

Council of Science Editors:

Guarcello MA. Blended Learning and Bottlenecks in the California State University System: An Empirical Look at the Importance of Demographic and Performance Analytics. [Doctoral Dissertation]. University of San Diego; 2015. Available from: https://digital.sandiego.edu/dissertations/1


Vanderbilt University

25. Segedy, James René. Adaptive Scaffolds in Open-Ended Computer-Based Learning Environments.

Degree: PhD, Computer Science, 2014, Vanderbilt University

 Open-ended computer-based learning environments (OELEs) challenge learners to independently solve complex problems. These environments provide powerful opportunities for learners to develop and utilize strategies for… (more)

Subjects/Keywords: Scaffolding; Open-Ended Learning Environment; Learner Modeling; Adaptive Support; Learning Analytics

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APA (6th Edition):

Segedy, J. R. (2014). Adaptive Scaffolds in Open-Ended Computer-Based Learning Environments. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/12486

Chicago Manual of Style (16th Edition):

Segedy, James René. “Adaptive Scaffolds in Open-Ended Computer-Based Learning Environments.” 2014. Doctoral Dissertation, Vanderbilt University. Accessed March 05, 2021. http://hdl.handle.net/1803/12486.

MLA Handbook (7th Edition):

Segedy, James René. “Adaptive Scaffolds in Open-Ended Computer-Based Learning Environments.” 2014. Web. 05 Mar 2021.

Vancouver:

Segedy JR. Adaptive Scaffolds in Open-Ended Computer-Based Learning Environments. [Internet] [Doctoral dissertation]. Vanderbilt University; 2014. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1803/12486.

Council of Science Editors:

Segedy JR. Adaptive Scaffolds in Open-Ended Computer-Based Learning Environments. [Doctoral Dissertation]. Vanderbilt University; 2014. Available from: http://hdl.handle.net/1803/12486


Penn State University

26. Tang, Hengtao. EXPLORING SELF-REGULATED LEARNER PROFILES IN MOOCS: A COMPARATIVE STUDY.

Degree: 2018, Penn State University

 Massive Open Online Courses (MOOCs) have received considerable attention with some scholars claiming they have the potential of opening up access to higher education, but… (more)

Subjects/Keywords: Self-regulated learning; Learning analytics; MOOCs; Culture; Comparative study

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APA (6th Edition):

Tang, H. (2018). EXPLORING SELF-REGULATED LEARNER PROFILES IN MOOCS: A COMPARATIVE STUDY. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15966hzt111

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):

Tang, Hengtao. “EXPLORING SELF-REGULATED LEARNER PROFILES IN MOOCS: A COMPARATIVE STUDY.” 2018. Thesis, Penn State University. Accessed March 05, 2021. https://submit-etda.libraries.psu.edu/catalog/15966hzt111.

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

MLA Handbook (7th Edition):

Tang, Hengtao. “EXPLORING SELF-REGULATED LEARNER PROFILES IN MOOCS: A COMPARATIVE STUDY.” 2018. Web. 05 Mar 2021.

Vancouver:

Tang H. EXPLORING SELF-REGULATED LEARNER PROFILES IN MOOCS: A COMPARATIVE STUDY. [Internet] [Thesis]. Penn State University; 2018. [cited 2021 Mar 05]. Available from: https://submit-etda.libraries.psu.edu/catalog/15966hzt111.

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

Council of Science Editors:

Tang H. EXPLORING SELF-REGULATED LEARNER PROFILES IN MOOCS: A COMPARATIVE STUDY. [Thesis]. Penn State University; 2018. Available from: https://submit-etda.libraries.psu.edu/catalog/15966hzt111

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


Brigham Young University

27. Henrie, Curtis R. Measuring Student Engagement in Technology-Mediated Learning Environments.

Degree: PhD, 2016, Brigham Young University

 This is a multiple-article format dissertation that explores methods for measuring student engagement in technology-mediated learning experiences. Student engagement is the committed, focused, and energetic… (more)

Subjects/Keywords: student engagement; learning analytics; measurement; technology-mediated learning; Educational Psychology

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

APA (6th Edition):

Henrie, C. R. (2016). Measuring Student Engagement in Technology-Mediated Learning Environments. (Doctoral Dissertation). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=6948&context=etd

Chicago Manual of Style (16th Edition):

Henrie, Curtis R. “Measuring Student Engagement in Technology-Mediated Learning Environments.” 2016. Doctoral Dissertation, Brigham Young University. Accessed March 05, 2021. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=6948&context=etd.

MLA Handbook (7th Edition):

Henrie, Curtis R. “Measuring Student Engagement in Technology-Mediated Learning Environments.” 2016. Web. 05 Mar 2021.

Vancouver:

Henrie CR. Measuring Student Engagement in Technology-Mediated Learning Environments. [Internet] [Doctoral dissertation]. Brigham Young University; 2016. [cited 2021 Mar 05]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=6948&context=etd.

Council of Science Editors:

Henrie CR. Measuring Student Engagement in Technology-Mediated Learning Environments. [Doctoral Dissertation]. Brigham Young University; 2016. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=6948&context=etd


University of Waterloo

28. Ameli, Soroush. Road Condition Sensing Using Deep Learning and Wireless Signals.

Degree: 2020, University of Waterloo

 Similar to human car drivers, future driverless cars need to sense the condition of road surfaces so that they can adjust their speed and distance… (more)

Subjects/Keywords: Deep Learning; Machine Learning; Autonomous Car; Wireless Signal; Data Analytics

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

APA (6th Edition):

Ameli, S. (2020). Road Condition Sensing Using Deep Learning and Wireless Signals. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/16121

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):

Ameli, Soroush. “Road Condition Sensing Using Deep Learning and Wireless Signals.” 2020. Thesis, University of Waterloo. Accessed March 05, 2021. http://hdl.handle.net/10012/16121.

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

MLA Handbook (7th Edition):

Ameli, Soroush. “Road Condition Sensing Using Deep Learning and Wireless Signals.” 2020. Web. 05 Mar 2021.

Vancouver:

Ameli S. Road Condition Sensing Using Deep Learning and Wireless Signals. [Internet] [Thesis]. University of Waterloo; 2020. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/10012/16121.

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

Council of Science Editors:

Ameli S. Road Condition Sensing Using Deep Learning and Wireless Signals. [Thesis]. University of Waterloo; 2020. Available from: http://hdl.handle.net/10012/16121

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


University of Maryland

29. Ramesh, Arti. A Probabilistic Approach to Modeling Socio-Behavioral Interactions.

Degree: Computer Science, 2016, University of Maryland

 In our ever-increasingly connected world, it is essential to build computational models that represent, reason, and model the underlying characteristics of real-world networks. Data generated… (more)

Subjects/Keywords: Computer science; data mining; learning analytics; machine learning; structured prediction

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APA (6th Edition):

Ramesh, A. (2016). A Probabilistic Approach to Modeling Socio-Behavioral Interactions. (Thesis). University of Maryland. Retrieved from http://hdl.handle.net/1903/18964

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):

Ramesh, Arti. “A Probabilistic Approach to Modeling Socio-Behavioral Interactions.” 2016. Thesis, University of Maryland. Accessed March 05, 2021. http://hdl.handle.net/1903/18964.

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

MLA Handbook (7th Edition):

Ramesh, Arti. “A Probabilistic Approach to Modeling Socio-Behavioral Interactions.” 2016. Web. 05 Mar 2021.

Vancouver:

Ramesh A. A Probabilistic Approach to Modeling Socio-Behavioral Interactions. [Internet] [Thesis]. University of Maryland; 2016. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1903/18964.

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

Council of Science Editors:

Ramesh A. A Probabilistic Approach to Modeling Socio-Behavioral Interactions. [Thesis]. University of Maryland; 2016. Available from: http://hdl.handle.net/1903/18964

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


Colorado State University

30. Pereira, Aaron. Towards federated learning over large-scale streaming data.

Degree: MS(M.S.), Computer Science, 2020, Colorado State University

 Distributed Stream Processing Engines (DSPEs) have seen significant deployment growth along with an increase in streaming data sources such as sensor networks. These DSPEs enable… (more)

Subjects/Keywords: distributed stream processing engines; scalable analytics; federated learning; deep learning

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

APA (6th Edition):

Pereira, A. (2020). Towards federated learning over large-scale streaming data. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/208427

Chicago Manual of Style (16th Edition):

Pereira, Aaron. “Towards federated learning over large-scale streaming data.” 2020. Masters Thesis, Colorado State University. Accessed March 05, 2021. http://hdl.handle.net/10217/208427.

MLA Handbook (7th Edition):

Pereira, Aaron. “Towards federated learning over large-scale streaming data.” 2020. Web. 05 Mar 2021.

Vancouver:

Pereira A. Towards federated learning over large-scale streaming data. [Internet] [Masters thesis]. Colorado State University; 2020. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/10217/208427.

Council of Science Editors:

Pereira A. Towards federated learning over large-scale streaming data. [Masters Thesis]. Colorado State University; 2020. Available from: http://hdl.handle.net/10217/208427

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