Identifying Students' Learning Patterns in Online Learning Environments: A Literature Review
Digital learning environments have offered new opportunities to stream educational
materials such as courses, educational videos, forums and provide outcomes of the …
materials such as courses, educational videos, forums and provide outcomes of the …
Design science research applied to difficulties of teaching and learning initial programming
Learning and teaching to program is an arduous task. It requires a lot of commitment,
dedication, and passion from everyone involved. Programming courses have high dropout …
dedication, and passion from everyone involved. Programming courses have high dropout …
Map** python programs to vectors using recursive neural encodings
Educational data mining involves the application of data mining techniques to student
activity. However, in the context of computer programming, many data mining techniques …
activity. However, in the context of computer programming, many data mining techniques …
Interpretable methods for early prediction of student performance in programming courses
Z Wang, I Koprinska, B Jeffries - International conference on artificial …, 2024 - Springer
Early prediction of student grades is important for identifying students at-risk of failing or
students not achieving their goals, and providing timely interventions. There is a need to …
students not achieving their goals, and providing timely interventions. There is a need to …
Predicting progress in a large-scale online programming course
With vast amounts of educational data being generated in schools, educators are
increasingly embracing data mining techniques to track student progress, especially in …
increasingly embracing data mining techniques to track student progress, especially in …
Amortised Design Optimization for Item Response Theory
A Keurulainen, I Westerlund, O Keurulainen… - … Conference on Artificial …, 2023 - Springer
Abstract Item Response Theory (IRT) is a well known method for assessing responses from
humans in education and psychology. In education, IRT is used to infer student abilities and …
humans in education and psychology. In education, IRT is used to infer student abilities and …
Predicting Successful Programming Submissions Based on Critical Logic Blocks
KW Pan, B Jeffries, I Koprinska - International Conference on Artificial …, 2024 - Springer
We propose an approach to infer the critical logic blocks contained within student
submissions that can influence the passing or failing of individual exercises in introductory …
submissions that can influence the passing or failing of individual exercises in introductory …
ast2vec: Utilizing recursive neural encodings of python programs
Educational datamining involves the application of datamining techniques to student activity.
However, in the context of computer programming, many datamining techniques can not be …
However, in the context of computer programming, many datamining techniques can not be …
Strategies to increase success in learning programming
Programming is a special activity, which requires very special skills. Creativity, problem
solving, persistence, collaboration, communication, critical thinking, commitment, dedication …
solving, persistence, collaboration, communication, critical thinking, commitment, dedication …
Early prediction of student performance in online programming courses
Early prediction of student grades is important for both teachers and students. It can help
teachers take timely remedial actions to avoid drop-out and poor learning outcomes, and …
teachers take timely remedial actions to avoid drop-out and poor learning outcomes, and …