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 …
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 …
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' …
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 …
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
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 …
students due to the lack of usage of learning process, summative data and a precise …
[PDF][PDF] Demystifying learning analytics in personalised learning
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 …
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 …
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 …
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 …
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 …
sectors of modern society, ie healthcare, politics, business, and entertainment. During the …