Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 7 |
Since 2016 (last 10 years) | 7 |
Since 2006 (last 20 years) | 7 |
Descriptor
Learning Analytics | 7 |
Learning Management Systems | 7 |
Learning Strategies | 7 |
Metacognition | 4 |
Student Behavior | 3 |
Algorithms | 2 |
Cognitive Processes | 2 |
Course Content | 2 |
Electronic Learning | 2 |
Independent Study | 2 |
Learning Processes | 2 |
More ▼ |
Author
Publication Type
Journal Articles | 7 |
Reports - Research | 6 |
Reports - Descriptive | 1 |
Education Level
Higher Education | 3 |
Postsecondary Education | 3 |
Junior High Schools | 2 |
Middle Schools | 2 |
Secondary Education | 2 |
Elementary Education | 1 |
Grade 6 | 1 |
Grade 7 | 1 |
High Schools | 1 |
Intermediate Grades | 1 |
Audience
Location
Japan | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Motivated Strategies for… | 2 |
What Works Clearinghouse Rating
Park, Eunsung; Ifenthaler, Dirk; Clariana, Roy B. – British Journal of Educational Technology, 2023
The real-time and granularized learning information and recommendations available from adaptive learning technology can provide learners with feedback that is personalized. However, at an individual level, learners often experience technological and pedagogical conflicts. Learners have more freedom to accept, ignore or reject the feedback while…
Descriptors: Metacognition, Learning Analytics, Learning Management Systems, Learning Strategies
Li Chen; Xuewang Geng; Min Lu; Atsushi Shimada; Masanori Yamada – SAGE Open, 2023
Developed to maximize learning performance, learning analytics dashboards (LAD) are becoming increasingly commonplace in education. An LAD's effectiveness depends on how it is used and varies according to users' academic levels. In this study, two LADs and a learning support system were used in a higher education course to support students'…
Descriptors: Learning Analytics, Learning Management Systems, Cognitive Processes, Learning Strategies
Lars de Vreugd; Anouschka van Leeuwen; Renée Jansen; Marieke van der Schaaf – Journal of Learning Analytics, 2024
For university students, self-regulation of study behaviour is important. However, students are not always capable of effective self-regulation. Providing study behaviour information via a learning analytics dashboard (LAD) may support phases within self-regulated learning (SRL). However, it is unclear what information a LAD should provide, how to…
Descriptors: Learning Management Systems, Learning Analytics, Student Behavior, Behavior Patterns
Hilpert, Jonathan C.; Greene, Jeffrey A.; Bernacki, Matthew – British Journal of Educational Technology, 2023
Capturing evidence for dynamic changes in self-regulated learning (SRL) behaviours resulting from interventions is challenging for researchers. In the current study, we identified students who were likely to do poorly in a biology course and those who were likely to do well. Then, we randomly assigned a portion of the students predicted to perform…
Descriptors: Learning Theories, Independent Study, Artificial Intelligence, Biology
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
Zhang, Jiayi; Andres, Juliana Ma. Alexandra L.; Hutt, Stephen; Baker, Ryan S.; Ocumpaugh, Jaclyn; Nasiar, Nidhi; Mills, Caitlin; Brooks, Jamiella; Sethuaman, Sheela; Young, Tyron – Journal of Educational Data Mining, 2022
Self-regulated learning (SRL) is a critical component of mathematics problem-solving. Students skilled in SRL are more likely to effectively set goals, search for information, and direct their attention and cognitive process so that they align their efforts with their objectives. An influential framework for SRL, the SMART model (Winne, 2017),…
Descriptors: Problem Solving, Mathematics Instruction, Learning Management Systems, Learning Analytics
Zhongzhou Chen; Tom Zhang; Michelle Taub – Journal of Learning Analytics, 2024
The current study measures the extent to which students' self-regulated learning tactics and learning outcomes change as the result of a deliberate, data-driven improvement in the learning design of mastery-based online learning modules. In the original design, students were required to attempt the assessment once before being allowed to access…
Descriptors: Learning Analytics, Algorithms, Instructional Materials, Course Content