Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 3 |
| Since 2016 (last 10 years) | 3 |
| Since 2006 (last 20 years) | 3 |
Descriptor
| Learning Analytics | 3 |
| Validity | 3 |
| Algorithms | 2 |
| Accuracy | 1 |
| Algebra | 1 |
| Anxiety | 1 |
| Classroom Communication | 1 |
| Classroom Design | 1 |
| College Faculty | 1 |
| Comparative Analysis | 1 |
| Computer Assisted Instruction | 1 |
| More ▼ | |
Author
| Aaron Bere | 1 |
| Aleven, Vincent | 1 |
| Amisha Jindal | 1 |
| Ashish Gurung | 1 |
| Borchers, Conrad | 1 |
| Erin Ottmar | 1 |
| Ji-Eun Lee | 1 |
| Karumbaiah, Shamya | 1 |
| Patrick Chirilele | 1 |
| Reilly Norum | 1 |
| Rugare Chitiga | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 3 |
| Speeches/Meeting Papers | 3 |
Education Level
Audience
Location
| Australia | 1 |
| South Africa | 1 |
| Zimbabwe | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full textShou, Tianze; Borchers, Conrad; Karumbaiah, Shamya; Aleven, Vincent – International Educational Data Mining Society, 2023
Spatial analytics receive increased attention in educational data mining. A critical issue in stop detection (i.e., the automatic extraction of timestamped and located stops in the movement of individuals) is a lack of validation of stop accuracy to represent phenomena of interest. Next to a radius that an actor does not exceed for a certain…
Descriptors: Classroom Design, Accuracy, Validity, Space Utilization
Aaron Bere; Patrick Chirilele; Rugare Chitiga – International Association for Development of the Information Society, 2022
The purpose of this paper is to present an empirical investigation of the critical determinants for the adoption of learning analytics in higher education. A conceptual model was proposed to understand better the adoption of learning analytics in higher education by teaching staff. Structural equation modelling is used for testing and validating…
Descriptors: Learning Analytics, Validity, Research Methodology, Higher Education
Direct linkJi-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2022
This paper demonstrates how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. We examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance prediction; and (2) what types of in-game features were associated with student…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
