Predicting student performance using data mining and learning analytics techniques: A systematic literature review
A Namoun, A Alshanqiti - Applied Sciences, 2020 - mdpi.com
Featured Application The herein survey is among the first research efforts to synthesize the
intelligent models and paradigms applied in education to predict the attainment of student …
intelligent models and paradigms applied in education to predict the attainment of student …
[HTML][HTML] Automatic evaluation of open-ended questions for online learning. A systematic mapping
The assessment of students' performances in Higher Education is one of the essential
components of teaching activities. Open-ended tasks allow a more in-depth assessment of …
components of teaching activities. Open-ended tasks allow a more in-depth assessment of …
Reviewing the need for explainable artificial intelligence (xAI)
The diffusion of artificial intelligence (AI) applications in organizations and society has fueled
research on explaining AI decisions. The explainable AI (xAI) field is rapidly expanding with …
research on explaining AI decisions. The explainable AI (xAI) field is rapidly expanding with …
The effects of explanations in automated essay scoring systems on student trust and motivation
Ethical considerations, including transparency, play an important role when using artificial
intelligence (AI) in education. Explainable AI has been coined as a solution to provide more …
intelligence (AI) in education. Explainable AI has been coined as a solution to provide more …
Explainable AI and machine learning: performance evaluation and explainability of classifiers on educational data mining inspired career counseling
Abstract Machine Learning concept learns from experiences, inferences and conceives
complex queries. Machine learning techniques can be used to develop the educational …
complex queries. Machine learning techniques can be used to develop the educational …
[图书][B] An introduction to distance education
M Cleveland-Innes, DR Garrison - 2010 - api.taylorfrancis.com
Names: Cleveland-Innes, Martha, 1956–editor.| Garrison, DR (D. Randy), 1945–editor. Title:
An introduction to distance education: understanding teaching and learning in a new …
An introduction to distance education: understanding teaching and learning in a new …
Exploring online activities to predict the final grade of student
Student success rate is a significant indicator of the quality of the educational services
offered at higher education institutions (HEIs). It allows students to make their plans to …
offered at higher education institutions (HEIs). It allows students to make their plans to …
[HTML][HTML] Perspectives on the challenges of generalizability, transparency and ethics in predictive learning analytics
A Mathrani, T Susnjak, G Ramaswami… - Computers and Education …, 2021 - Elsevier
Educational institutions need to formulate a well-established data-driven plan to get long-
term value from their learning analytics (LA) strategy. By tracking learners' digital traces and …
term value from their learning analytics (LA) strategy. By tracking learners' digital traces and …
Broad learning based dynamic fuzzy inference system with adaptive structure and interpretable fuzzy rules
This article investigates the feasibility of applying the broad learning system (BLS) to realize
a novel Takagi–Sugeno–Kang (TSK) neuro-fuzzy model, namely a broad learning based …
a novel Takagi–Sugeno–Kang (TSK) neuro-fuzzy model, namely a broad learning based …
A student-centered approach using modern technologies in distance learning: a systematic review of the literature
N Kerimbayev, Z Umirzakova, R Shadiev… - Smart Learning …, 2023 - Springer
A literature review was conducted to develop a clear understanding of the student-centered
approach using modern technologies in distance learning. The study aimed to address four …
approach using modern technologies in distance learning. The study aimed to address four …