Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Bayesian Statistics | 3 |
| Classification | 3 |
| Individualized Instruction | 3 |
| Cognitive Style | 2 |
| College Students | 2 |
| Electronic Learning | 2 |
| Profiles | 2 |
| Algebra | 1 |
| Algorithms | 1 |
| Artificial Intelligence | 1 |
| Automation | 1 |
| More ▼ | |
Author
| A. I. Makinde | 1 |
| B. A. Ojokoh | 1 |
| Cousino, Andrew | 1 |
| Dharani, B. | 1 |
| E. O. Ibam | 1 |
| Geetha, T. V. | 1 |
| M. S. Omirin | 1 |
| O. C. Agbonifo | 1 |
| O. K. Boyinbode | 1 |
| O. Olabode | 1 |
| O. S. Adewale | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
| Dissertations/Theses -… | 1 |
Education Level
| Higher Education | 3 |
| Postsecondary Education | 3 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
O. S. Adewale; O. C. Agbonifo; E. O. Ibam; A. I. Makinde; O. K. Boyinbode; B. A. Ojokoh; O. Olabode; M. S. Omirin; S. O. Olatunji – Interactive Learning Environments, 2024
With the advent of technological advancement in learning, such as context-awareness, ubiquity and personalisation, various innovations in teaching and learning have led to improved learning. This research paper aims to develop a system that supports personalised learning through adaptive content, adaptive learning path and context awareness to…
Descriptors: Cognitive Style, Individualized Instruction, Learning Processes, Preferences
Premlatha, K. R.; Dharani, B.; Geetha, T. V. – Interactive Learning Environments, 2016
E-learning allows learners individually to learn "anywhere, anytime" and offers immediate access to specific information. However, learners have different behaviors, learning styles, attitudes, and aptitudes, which affect their learning process, and therefore learning environments need to adapt according to these differences, so as to…
Descriptors: Electronic Learning, Profiles, Automation, Classification
Cousino, Andrew – ProQuest LLC, 2013
The goal of this work is to provide instructors with detailed information about their classes at each assignment during the term. The information is both on an individual level and at the aggregate level. We used the large number of grades, which are available online these days, along with data-mining techniques to build our models. This enabled…
Descriptors: Mathematics Instruction, Algebra, Probability, Mathematical Models

Peer reviewed
Direct link
