NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing all 6 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Wang, Qin; Mousavi, Amin; Lu, Chang – Distance Education, 2022
The field of learning analytics (LA) is developing rapidly. However, previous empirical studies on LA were largely data-driven. Little attention has been paid to theory-driven LA studies. The present scoping review identified and summarized empirical theory-driven LA studies, aiming to reveal how theories were integrated into LA. The review…
Descriptors: Learning Analytics, Journal Articles, Databases, Metacognition
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Lee, Jaekyung; Jaeger, Joseph – International Journal of Educational Methodology, 2021
What are missing in the U.S. education policy of "college for all" are supporting data and indicators on K-16 education pathways, i.e, how well all students get ready and stay on track from kindergarten through college. This study creates synthetic national longitudinal education database that helps track and support students'…
Descriptors: College Readiness, Longitudinal Studies, Databases, Artificial Intelligence
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Williamson, Kimberly; Kizilcec, René F. – International Educational Data Mining Society, 2021
Knowledge tracing algorithms such as Bayesian Knowledge Tracing (BKT) can provide students and teachers with helpful information about their progress towards learning objectives. Despite the popularity of BKT in the research community, the algorithm is not widely adopted in educational practice. This may be due to skepticism from users and…
Descriptors: Bayesian Statistics, Learning Processes, Computer Software, Learning Analytics
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Tempelaar, Dirk – International Association for Development of the Information Society, 2021
The search for rigor in learning analytics applications has placed survey data in the suspect's corner, favoring more objective trace data. A potential lack of objectivity in survey data is the existence of response styles, the tendency of respondents to answer survey items in a particular biased manner, such as yeah saying or always disagreeing.…
Descriptors: Learning Analytics, Responses, Surveys, Bias
Filderman, Marissa J.; Toste, Jessica R.; Cooc, North – Assessment for Effective Intervention, 2021
Although national legislation and policy call for the use of student assessment data to support instruction, evidence suggests that teachers lack the knowledge and skills required to effectively use data. Previous studies have demonstrated the potential of training for increasing immediate teacher outcomes (i.e., knowledge, skills, and beliefs),…
Descriptors: Grade 2, Elementary School Teachers, Mathematics Instruction, Learning Analytics
Hershkovitz, Arnon; Baker, Ryan S. J. d.; Gobert, Janice; Wixon, Michael; Sao Pedro, Michael – Grantee Submission, 2013
In recent years, an increasing number of analyses in Learning Analytics and Educational Data Mining (EDM) have adopted a "Discovery with Models" approach, where an existing model is used as a key component in a new EDM/analytics analysis. This article presents a theoretical discussion on the emergence of discovery with models, its…
Descriptors: Learning Analytics, Models, Learning Processes, Case Studies