Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 3 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Learning Analytics | 3 |
| Programming | 3 |
| Introductory Courses | 2 |
| Novices | 2 |
| Academic Persistence | 1 |
| Algorithms | 1 |
| Animation | 1 |
| Artificial Intelligence | 1 |
| Behavior Patterns | 1 |
| Classification | 1 |
| Coding | 1 |
| More ▼ | |
Source
| Education and Information… | 3 |
Author
| Abdullahi Yusuf | 1 |
| Abid, Adnan | 1 |
| Amanpreet Kaur | 1 |
| Farooq, Muhammad Shoaib | 1 |
| Kuljit Kaur Chahal | 1 |
| Norah Md Noor | 1 |
| Omer, Uzma | 1 |
| Shamsudeen Bello | 1 |
| Tehseen, Rabia | 1 |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 2 |
| Information Analyses | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Omer, Uzma; Tehseen, Rabia; Farooq, Muhammad Shoaib; Abid, Adnan – Education and Information Technologies, 2023
Learning analytics (LA) is a significant field of study to examine and identify difficulties the novice programmers face while learning how to program. Despite producing notable research by the community in the specified area, rare work is observed to synthesize these research efforts and discover the dimensions that guide the future research of…
Descriptors: Programming, Learning Analytics, Educational Research, Data
Abdullahi Yusuf; Norah Md Noor; Shamsudeen Bello – Education and Information Technologies, 2024
Studies examining students' learning behavior predominantly employed rich video data as their main source of information due to the limited knowledge of computer vision and deep learning algorithms. However, one of the challenges faced during such observation is the strenuous task of coding large amounts of video data through repeated viewings. In…
Descriptors: Learning Analytics, Student Behavior, Video Technology, Classification
Amanpreet Kaur; Kuljit Kaur Chahal – Education and Information Technologies, 2024
Research so far has overlooked the contribution of students' noncognitive factors to their performance in introductory programming in the context of personalized learning support. This study uses learning analytics to design and implement a Dashboard to understand the contribution of introductory programming students' learning motivation,…
Descriptors: Learning Analytics, Introductory Courses, Programming, Computer Science Education

Peer reviewed
Direct link
