Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 4 |
Descriptor
| Academic Achievement | 4 |
| Database Management Systems | 4 |
| Predictive Validity | 4 |
| Data Analysis | 3 |
| Predictive Measurement | 3 |
| College Students | 2 |
| Computer System Design | 2 |
| Data Processing | 2 |
| Foreign Countries | 2 |
| Models | 2 |
| Online Courses | 2 |
| More ▼ | |
Source
| IEEE Transactions on Learning… | 1 |
| Interactive Learning… | 1 |
| International Working Group… | 1 |
| Themes in Science and… | 1 |
Author
| Calders, Toon | 1 |
| Cho, Moon-Heum | 1 |
| Conati, Cristina | 1 |
| Conijn, Rianne | 1 |
| Kleingeld, Ad | 1 |
| Livieris, Ioannis E. | 1 |
| Matzat, Uwe | 1 |
| Mikropoulos, Tassos A. | 1 |
| Pechenizkiy, Mykola | 1 |
| Pintelas, Panagiotis | 1 |
| Romero, Cristobal | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 3 |
| Collected Works - Proceedings | 1 |
Education Level
| Higher Education | 3 |
| Postsecondary Education | 1 |
| Secondary Education | 1 |
Audience
Location
| Netherlands | 2 |
| Greece | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Motivated Strategies for… | 1 |
What Works Clearinghouse Rating
Cho, Moon-Heum; Yoo, Jin Soung – Interactive Learning Environments, 2017
Many researchers who are interested in studying students' online self-regulated learning (SRL) have heavily relied on self-reported surveys. Data mining is an alternative technique that can be used to discover students' SRL patterns from large data logs saved on a course management system. The purpose of this study was to identify students' online…
Descriptors: Online Courses, Self Management, Active Learning, Data Analysis
Livieris, Ioannis E.; Mikropoulos, Tassos A.; Pintelas, Panagiotis – Themes in Science and Technology Education, 2016
Educational data mining is an emerging research field concerned with developing methods for exploring the unique types of data that come from educational context. These data allow the educational stakeholders to discover new, interesting and valuable knowledge about students. In this paper, we present a new user-friendly decision support tool for…
Descriptors: Predictive Measurement, Decision Support Systems, Academic Achievement, Exit Examinations
Conijn, Rianne; Snijders, Chris; Kleingeld, Ad; Matzat, Uwe – IEEE Transactions on Learning Technologies, 2017
With the adoption of Learning Management Systems (LMSs) in educational institutions, a lot of data has become available describing students' online behavior. Many researchers have used these data to predict student performance. This has led to a rather diverse set of findings, possibly related to the diversity in courses and predictor variables…
Descriptors: Blended Learning, Predictor Variables, Predictive Validity, Predictive Measurement
Pechenizkiy, Mykola; Calders, Toon; Conati, Cristina; Ventura, Sebastian; Romero, Cristobal; Stamper, John – International Working Group on Educational Data Mining, 2011
The 4th International Conference on Educational Data Mining (EDM 2011) brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large datasets to answer educational research questions. The conference, held in Eindhoven, The Netherlands, July 6-9, 2011, follows the three previous editions…
Descriptors: Academic Achievement, Logical Thinking, Profiles, Tutoring

Peer reviewed
Direct link
