Predicting Course Grades Through Comprehensive Modeling of Students’ Learning Behavioral Patterns
While modeling students’ learning behavior or preferences has been found to be a crucial indicator for their course achievement, very few studies have considered it in predicting the achievement of students in online courses. This study aims to model students’ online learning behavior and accordingl...
Saved in:
| Main Authors: | Danial Hooshyar, Yeongwook Yang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/cplx/8851264 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
RETRACTION: Predicting Course Grade through Comprehensive Modelling of Students’ Learning Behavioral Pattern
by: null Complexity
Published: (2024-01-01) -
Enhancing Grade Prediction via Course Attribute-Aware Student Similarity in Collaborative Filtering
by: Young Park
Published: (2022-05-01) -
Grading Women's Clothing Patterns with the CAD Pattern System to Improve Student Learning Outcomes and Competencies
by: Umi Kulsum
Published: (2020-07-01) -
Construction of cyberspace security course system of comprehensive practice and graded customs clearance
by: Kai CHEN, et al.
Published: (2019-06-01) -
An Experimental Study of the Effect of AI Course Assistants on Student Grade Outcomes
by: George Hanshaw, et al.
Published: (2025-07-01)