Using Educational Data Mining to Identify and Analyze Student Learning Strategies in an Online Flipped Classroom
Bibliographic Data
| ID | 22044913 |
|---|---|
| Authors | Randall S Davies (0000-0001-5856-0121, Brigham Young University, corresponding author), Gove Allen (Information Systems, Brigham Young University, Provo, UT 84602, USA), Gove N Allen (Brigham Young University), Conan Albrecht (Brigham Young University), Nesrin Bakir (Illinois State University), Nick Ball (0000-0001-5819-3173, Utah Valley University) |
| Year | 2021 |
| Volume | 11 |
| Issue | 11 |
| Pages | 668 |
| Publication date | 2021-10-21 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Education Sciences (JOURNAL) |
| Journal identifiers | ISSN: 2227-7102 • E-ISSN: 2227-7102 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/educsci11110668 |
| OpenAlex | W3206989393 |
| Language | EN |
| Citations received | 4 |
| References cited | 11 |
Analyzing the learning analytics from a course provides insights that can impact instructional design decisions. This study used educational data mining techniques, specifically a longitudinal k-means cluster analysis, to identify the strategies students used when completing the online portion of an online flipped spreadsheet course. An analysis of these results showed that students did tend to follow a specific learning strategy as they completed this course. However, students also self-regulated to some degree, based on the topic and context of specific lessons. These insights not only improve our understanding about the students taking the course, but they also provide guidance for how the instructional design of the course might be improved. Of note is the practical value of this proof-of-concept study in using educational data mining to improve the instructional design of a course
Data science · Educational Data Mining · Educational technology · Flipped Classroom · Instructional design · Learning analytics · Mathematics education · Multimedia · Online course · Computer Science · Innovative Teaching Methods · Online and Blended Learning · Online Learning and Analytics · Psychology
Educational Computational Chemistry for In-Service Chemistry Teachers
Comparison of In-Person and Virtual Labs/Tutorials for Engineering Students Using Blended Learning Principles
The use of learning analytics and educational data mining to analyze teachers’ teaching in online environments
Profiling students via clustering in a flipped clinical skills course using learning analytics
Flipping the classroom and instructional technology integration in a college-level information systems spreadsheet course
Self-Regulation
Deep and surface learning in problem-based learning
Designing Technology-Enabled Instruction to Utilize Learning Analytics
Examining the multidimensionality of approaches to learning through the development of a revised version of the Learning Process Questionnaire
| Unique citing works | 4 |
|---|---|
| Citations per year | 1 |
| Citation span | 2022 - 2025 (4) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 4 |