Learner engagement in blended learning environments: a conceptual framework.

LR Halverson, CR Graham - Online learning, 2019 - ERIC
Learner engagement correlates with important educational outcomes, including academic
achievement and satisfaction. Although research is already exploring learner engagement …

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 …

Learning analytics methods, benefits, and challenges in higher education: A systematic literature review.

JT Avella, M Kebritchi, SG Nunn, T Kanai - Online Learning, 2016 - ERIC
Higher education for the 21st century continues to promote discoveries in the field through
learning analytics (LA). The problem is that the rapid embrace of of LA diverts educators' …

Prerequisites for artificial intelligence in further education: Identification of drivers, barriers, and business models of educational technology companies

A Renz, R Hilbig - International Journal of Educational Technology in …, 2020 - Springer
The ongoing datafication of our social reality has resulted in the emergence of new data-
based business models. This development is also reflected in the education market. An …

Artificial intelligence-enabled prediction model of student academic performance in online engineering education

P Jiao, F Ouyang, Q Zhang, AH Alavi - Artificial Intelligence Review, 2022 - Springer
Online education has been facing difficulty in predicting the academic performance of
students due to the lack of usage of learning process, summative data and a precise …

[PDF][PDF] Demystifying learning analytics in personalised learning

A Maseleno, N Sabani, M Huda, R Ahmad… - … of Engineering & …, 2018 - researchgate.net
This paper presents learning analytics as a mean to improve students' learning. Most
learning analytics tools are developed by in-house individual educational institutions to …

Harnessing the power of big data analytics in the cloud to support learning analytics in mobile learning environment

M Shorfuzzaman, MS Hossain, A Nazir… - Computers in Human …, 2019 - Elsevier
Technology enhanced learning (TEL) such as online learning environment with adaptive
technologies has gained growing interest in recent past in the field of teaching and learning …

A latent profile analysis of undergraduates' achievement motivations and metacognitive behaviors, and their relations to achievement in science.

W Hong, ML Bernacki, HN Perera - Journal of educational …, 2020 - psycnet.apa.org
Achievement motivation theories propose that student motivation is composed of multiple
factors. Models of self-regulated learning adopt this assumption and further articulate that …

Monitoring, awareness and reflection in blended technology enhanced learning: a systematic review

MJ Rodríguez-Triana, LP Prieto… - International …, 2017 - inderscienceonline.com
Education is experiencing a paradigm shift towards blended learning models in technology-
enhanced learning (TEL). Despite the potential benefits of blended learning, it also entails …

Learning assessment in the age of big data: Learning analytics in higher education

S Caspari-Sadeghi - Cogent Education, 2023 - Taylor & Francis
Data-driven decision-making and data-intensive research are becoming prevalent in many
sectors of modern society, ie healthcare, politics, business, and entertainment. During the …