Using deep learning models to predict student performance in introductory computer programming courses.
Yueh-hui Vanessa ChiangYing-Zu LinNian-Shing ChenPublished in: ICALT (2022)
Keyphrases
- introductory computer
- learning models
- programming course
- problem based learning
- computer programming
- machine learning
- loss function
- learning algorithm
- learning strategies
- learning tasks
- machine learning algorithms
- conditional random fields
- classification models
- learning problems
- semi supervised learning
- student centered
- instructional materials
- student learning
- source code
- data collection