Educational data mining and learning analytics for 21st century higher education: A review and synthesis

H Aldowah, H Al-Samarraie, WM Fauzy - Telematics and Informatics, 2019 - Elsevier
The potential influence of data mining analytics on the students' learning processes and
outcomes has been realized in higher education. Hence, a comprehensive review of …

Educational data mining: a review of the state of the art

C Romero, S Ventura - … on Systems, Man, and Cybernetics, Part …, 2010 - ieeexplore.ieee.org
Educational data mining (EDM) is an emerging interdisciplinary research area that deals
with the development of methods to explore data originating in an educational context. EDM …

Analysis of worldwide research trends on the impact of artificial intelligence in education

S Paek, N Kim - Sustainability, 2021 - mdpi.com
In today's world, artificial intelligence (AI) and human intelligence coexist, and no field is free
from the impact of AI. At present, education cannot be discussed without mentioning AI …

Fuzzy cognitive diagnosis for modelling examinee performance

Q Liu, R Wu, E Chen, G Xu, Y Su, Z Chen… - ACM Transactions on …, 2018 - dl.acm.org
Recent decades have witnessed the rapid growth of educational data mining (EDM), which
aims at automatically extracting valuable information from large repositories of data …

Learning or forgetting? A dynamic approach for tracking the knowledge proficiency of students

Z Huang, Q Liu, Y Chen, L Wu, K Xiao, E Chen… - ACM Transactions on …, 2020 - dl.acm.org
The rapid development of the technologies for online learning provides students with
extensive resources for self-learning and brings new opportunities for data-driven research …

A system for knowledge discovery in e-learning environments within the European Higher Education Area–Application to student data from Open University of Madrid …

JA Lara, D Lizcano, MA Martínez, J Pazos… - Computers & Education, 2014 - Elsevier
In today's open and dynamic learning environment, a significant percentage of students
have a preference for flexible learning systems whereby they can reconcile their academic …

A collaborative educational association rule mining tool

E García, C Romero, S Ventura, C De Castro - The Internet and Higher …, 2011 - Elsevier
This paper describes a collaborative educational data mining tool based on association rule
mining for the ongoing improvement of e-learning courses and allowing teachers with …

Intelligent analysis and data visualisation for teacher assistance tools: The case of exploratory learning

M Mavrikis, E Geraniou… - British Journal of …, 2019 - Wiley Online Library
While it is commonly accepted that Learning Analytics (LA) tools can support teachers'
awareness and classroom orchestration, not all forms of pedagogy are congruent to the …

Evaluation of an adaptive virtual laboratory environment using Western Blotting for diagnosis of disease

P Polly, N Marcus, D Maguire, Z Belinson… - BMC medical …, 2014 - Springer
Background Providing large numbers of undergraduate students in scientific disciplines with
engaging, authentic laboratory experiences is important, but challenging. Virtual …

AI paradigms for teaching biotechnology

WWB Goh, CC Sze - Trends in biotechnology, 2019 - cell.com
Artificial intelligence (AI) is profoundly changing biotechnological innovation. Beyond direct
application, it is also a useful tool for adaptive learning and forging new conceptual …