An overview and comparison of supervised data mining techniques for student exam performance prediction
N Tomasevic, N Gvozdenovic, S Vranes - Computers & education, 2020 - Elsevier
Recent increase in the availability of learning data has given educational data mining an
importance and momentum, in order to better understand and optimize the learning process …
importance and momentum, in order to better understand and optimize the learning process …
Matrix factorization model in collaborative filtering algorithms: A survey
D Bokde, S Girase, D Mukhopadhyay - Procedia Computer Science, 2015 - Elsevier
Abstract Recommendation Systems (RSs) are becoming tools of choice to select the online
information relevant to a given user. Collaborative Filtering (CF) is the most popular …
information relevant to a given user. Collaborative Filtering (CF) is the most popular …
MyMediaLite: A free recommender system library
MyMediaLite is a fast and scalable, multi-purpose library of recommender system
algorithms, aimed both at recommender system researchers and practitioners. It addresses …
algorithms, aimed both at recommender system researchers and practitioners. It addresses …
Educational data mining techniques for student performance prediction: method review and comparison analysis
Y Zhang, Y Yun, R An, J Cui, H Dai… - Frontiers in psychology, 2021 - frontiersin.org
Student performance prediction (SPP) aims to evaluate the grade that a student will reach
before enrolling in a course or taking an exam. This prediction problem is a kernel task …
before enrolling in a course or taking an exam. This prediction problem is a kernel task …
Recommender systems in e-learning environments: a survey of the state-of-the-art and possible extensions
A Klašnja-Milićević, M Ivanović… - Artificial Intelligence …, 2015 - Springer
With the development of sophisticated e-learning environments, personalization is
becoming an important feature in e-learning systems due to the differences in background …
becoming an important feature in e-learning systems due to the differences in background …
Next-term student performance prediction: A recommender systems approach
An enduring issue in higher education is student retention to successful graduation. National
statistics indicate that most higher education institutions have four-year degree completion …
statistics indicate that most higher education institutions have four-year degree completion …
A recommendation approach for programming online judges supported by data preprocessing techniques
R Yera, L Martínez - Applied Intelligence, 2017 - Springer
The use of programming online judges (POJ) to support students acquiring programming
skills is common nowadays because this type of software contains a large collection of …
skills is common nowadays because this type of software contains a large collection of …
Artificial intelligence in higher education: a bibliometric analysis and topic modeling approach
Artificial intelligence (AI) has brought unprecedented growth and productivity in every
socioeconomic sector. AI adoption in education is transformational through reduced teacher …
socioeconomic sector. AI adoption in education is transformational through reduced teacher …
A course recommendation model for students based on learning outcome
How to choose the most appropriate courses to study throughout the learning process
remains a question interested in by many students. Students often choose suitable courses …
remains a question interested in by many students. Students often choose suitable courses …
Graphs regularized robust matrix factorization and its application on student grade prediction
Y Zhang, Y Yun, H Dai, J Cui, X Shang - Applied Sciences, 2020 - mdpi.com
Student grade prediction (SGP) is an important educational problem for designing
personalized strategies of teaching and learning. Many studies adopt the technique of matrix …
personalized strategies of teaching and learning. Many studies adopt the technique of matrix …