Predicting student performance in computing courses based on programming behavior
Sign Up to like & getrecommendations! Published in 2022 at "Computer Applications in Engineering Education"
DOI: 10.1002/cae.22519
Abstract: In the context of programming language courses, offering early and personalized assistance to students with difficulties in solving code exercises is fundamental to helping them improve their performance. To this end, it is desirable to… read more here.
Keywords: courses based; predicting student; performance computing; computing courses ... See more keywords
GOAT: a novel global-local optimized graph transformer framework for predicting student performance in collaborative learning
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-93052-y
Abstract: Collaborative learning is a prevalent learning method, and modeling and predicting student performance in such paradigms is an important task. Most current methods analyze this complex task solely based on the frequency of student activities,… read more here.
Keywords: novel global; global local; collaborative learning; student performance ... See more keywords
Predicting student success by modeling student interaction in asynchronous online courses
Sign Up to like & getrecommendations! Published in 2017 at "Distance Education"
DOI: 10.1080/01587919.2017.1299562
Abstract: Abstract Early-warning intervention for students at risk of failing their online courses is increasingly important for higher education institutions. Students who show high levels of engagement appear less likely to be at risk of failing,… read more here.
Keywords: student; online courses; student interaction; interaction ... See more keywords
A high ranking-based ensemble network for student’s performance prediction using improved meta-heuristic-aided feature selection and adaptive GAN for recommender system
Sign Up to like & getrecommendations! Published in 2024 at "Kybernetes"
DOI: 10.1108/k-03-2024-0824
Abstract: PurposePredicting student performance is crucial in educational settings to identify and support students who may need additional help or resources. Understanding and predicting student performance is essential for educators to provide targeted support and guidance… read more here.
Keywords: student; performance; network; student performance ... See more keywords
Predicting Student Dropout Through Text and Media Content Analysis of VKontakte Profiles
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3550817
Abstract: This paper presents a novel approach to predicting student dropout by analyzing publicly available data from VKontakte social network profiles. Unlike traditional methods that primarily rely on academic and institutional data, our method leverages publicly… read more here.
Keywords: student dropout; dropout; student; analysis ... See more keywords
Predicting Student Grades Based on Their Usage of LMS Moodle Using Petri Nets
Sign Up to like & getrecommendations! Published in 2019 at "Applied Sciences"
DOI: 10.3390/app9204211
Abstract: This paper deals with the possibility of predicting student’s grades based on their usage of Learning Management System (LMS) Moodle. It is important to know what materials would be best suited in LMS as study… read more here.
Keywords: student; lms moodle; student grades; grades based ... See more keywords
Predicting Student Achievement Based on Temporal Learning Behavior in MOOCs
Sign Up to like & getrecommendations! Published in 2019 at "Applied Sciences"
DOI: 10.3390/app9245539
Abstract: With the development of data mining technology, educational data mining (EDM) has gained increasing amounts of attention. Research on massive open online courses (MOOCs) is an important area of EDM. Previous studies found that assignment-related… read more here.
Keywords: student achievement; student; temporal learning; moocs ... See more keywords