Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 2 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Learning Analytics | 3 |
| Prediction | 3 |
| Academic Achievement | 2 |
| Algorithms | 2 |
| Artificial Intelligence | 2 |
| Student Behavior | 2 |
| Accuracy | 1 |
| Affective Behavior | 1 |
| At Risk Students | 1 |
| College Students | 1 |
| Data Use | 1 |
| More ▼ | |
Source
| International Journal of… | 3 |
Author
| Ben Soussia, Amal | 1 |
| Boyer, Anne | 1 |
| Dave Darshan | 1 |
| Ean Teng Khor | 1 |
| Jaffrey, Andrew | 1 |
| Joseph-Richard, Paul | 1 |
| Labba, Chahrazed | 1 |
| Roussanaly, Azim | 1 |
| Uhomoibhi, James | 1 |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 3 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 2 |
| Elementary Secondary Education | 1 |
Audience
Location
| United Kingdom (Northern… | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkEan Teng Khor; Dave Darshan – International Journal of Information and Learning Technology, 2024
Purpose: This study leverages social network analysis (SNA) to visualise the way students interacted with online resources and uses the data obtained from SNA as features for supervised machine learning algorithms to predict whether a student will successfully complete a course. Design/methodology/approach: The exploration and visualisation of the…
Descriptors: Prediction, Academic Achievement, Electronic Learning, Artificial Intelligence
Ben Soussia, Amal; Labba, Chahrazed; Roussanaly, Azim; Boyer, Anne – International Journal of Information and Learning Technology, 2022
Purpose: The goal is to assess performance prediction systems (PPS) that are used to assist at-risk learners. Design/methodology/approach: The authors propose time-dependent metrics including earliness and stability. The authors investigate the relationships between the various temporal metrics and the precision metrics in order to identify the…
Descriptors: Performance, Prediction, Student Evaluation, At Risk Students
Joseph-Richard, Paul; Uhomoibhi, James; Jaffrey, Andrew – International Journal of Information and Learning Technology, 2021
Purpose: The aims of this study are to examine affective responses of university students when viewing their own predictive learning analytics (PLA) dashboards, and to analyse how those responses are perceived to affect their self-regulated learning behaviour. Design/methodology/approach: A total of 42 Northern Irish students were shown their own…
Descriptors: Prediction, Learning Analytics, Student Behavior, Affective Behavior
