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Yang, Tzu-Chi; Chen, Sherry Y. – Interactive Learning Environments, 2023
Individual differences exist among learners. Among various individual differences, cognitive styles can strongly predict learners' learning behavior. Therefore, cognitive styles are essential for the design of online learning. There are a variety of cognitive style dimensions and overlaps exist among these dimensions. In particular, Witkin's field…
Descriptors: Student Behavior, Educational Technology, Electronic Learning, Cognitive Style
Krumm, Andrew; Everson, Howard T.; Neisler, Julie – Journal of Learning Analytics, 2022
This paper describes a partnership-based approach for analyzing data from a learning management system (LMS) used by students in grades 6-12. The goal of the partnership was to create indicators for the ways in which students navigated digital learning activities, referred to as playlists, that were comprised of resources, pre-assessments, and…
Descriptors: Learning Management Systems, Data Analysis, Electronic Learning, Student Behavior
Rosenheck, Louisa; Cheng, Meng-Tzu; Lin, Chen-Yen; Klopfer, Eric – Educational Technology Research and Development, 2021
Games can be rich environments for learning and can elicit evidence of students' conceptual understanding and inquiry processes. Illuminating students' content-specific gameplay decisions, or methods of completing game tasks related to a certain domain, requires a context that is open-ended enough for students to make choices that demonstrate…
Descriptors: Game Based Learning, Decision Making, Learning Analytics, Genetics
Figueroa, Christina A. – ProQuest LLC, 2019
Online information is not regulated for quality of content or accuracy; therefore, content found online is not always complete, accurate, or unbiased. While media-literacy education exists, educators often only see the final result of students' online research in the form of the assignment or a works cited page. For teachers to address the media…
Descriptors: Student Behavior, Student Research, Media Literacy, Learning Analytics
Li, Liang-Yi; Tsai, Chin-Chung – Educational Technology Research and Development, 2020
This study developed a learning system that allows teachers to edit assignments designed to teach students the text structure strategy through the use of four phases: instructing, modeling, practicing, and reflecting. A 7-week instructional experiment was conducted in which 84 12th-grade students learned the text structure strategy using this…
Descriptors: Student Behavior, Behavior Patterns, Learning Analytics, Text Structure
An Investigation of High School Students' Errors in Introductory Programming: A Data-Driven Approach
Qian, Yizhou; Lehman, James – Journal of Educational Computing Research, 2020
This study implemented a data-driven approach to identify Chinese high school students' common errors in a Java-based introductory programming course using the data in an automated assessment tool called the Mulberry. Students' error-related behaviors were also analyzed, and their relationships to success in introductory programming were…
Descriptors: High School Students, Error Patterns, Introductory Courses, Computer Science Education
Edwards, John; Hart, Kaden; Shrestha, Raj – Journal of Educational Data Mining, 2023
Analysis of programming process data has become popular in computing education research and educational data mining in the last decade. This type of data is quantitative, often of high temporal resolution, and it can be collected non-intrusively while the student is in a natural setting. Many levels of granularity can be obtained, such as…
Descriptors: Data Analysis, Computer Science Education, Learning Analytics, Research Methodology
Jackowicz, Stephen, Ed.; Ozturk, Omer Tayfur, Ed. – Online Submission, 2021
"Proceedings of International Conference on Studies in Education and Social Sciences" includes full papers presented at the International Conference on Studies in Education and Social Sciences (ICSES) which took place on November 11-14, 2021 in Antalya, Turkey. The aim of the conference is to offer opportunities to share ideas, to…
Descriptors: Emotional Intelligence, Depression (Psychology), Anxiety, Stress Variables
Jackowicz, Stephen, Ed.; Ozturk, Omer Tayfur, Ed. – International Society for Technology, Education, and Science, 2021
"Proceedings of International Conference on Studies in Education and Social Sciences" includes full papers presented at the International Conference on Studies in Education and Social Sciences (ICSES) which took place on November 11-14, 2021 in Antalya, Turkey. The aim of the conference is to offer opportunities to share ideas, to…
Descriptors: Emotional Intelligence, Depression (Psychology), Anxiety, Stress Variables

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