Abstract
This paper describes the effectiveness of learning analytics on various academic endeavors. Two scenarios are discussed. The first one considers the academic performance while the second one considers diversity-related issues on the studies in order to ensure the evaluation of online classes during COVID-19 pandemic. Though the impact of learning analytics in academic decision making is vast, nevertheless, it can be used to improve learning environment and address key issues as experienced by new entrants in a medical school. The present work details the key academic and non-academic factors and suggests some strategies to minimize the impact of academic procrastination and hence improve the retention rate of sophomore medical students.
| Original language | English |
|---|---|
| Title of host publication | 2022 International Conference on Data Analytics for Business and Industry, ICDABI 2022 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 538-541 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781665490580 |
| DOIs | |
| State | Published - 2022 |
| Externally published | Yes |
| Event | 2022 International Conference on Data Analytics for Business and Industry, ICDABI 2022 - Virtual, Online, Bahrain Duration: 25 Oct 2022 → 26 Oct 2022 |
Publication series
| Name | 2022 International Conference on Data Analytics for Business and Industry, ICDABI 2022 |
|---|
Conference
| Conference | 2022 International Conference on Data Analytics for Business and Industry, ICDABI 2022 |
|---|---|
| Country/Territory | Bahrain |
| City | Virtual, Online |
| Period | 25/10/22 → 26/10/22 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Keywords
- medical education
- online teaching
- procrastination
- retention rate
- sophomore students
ASJC Scopus subject areas
- Management Information Systems
- Information Systems and Management
- Safety, Risk, Reliability and Quality
- Computer Science Applications
- Computer Networks and Communications
- Information Systems