[HTML][HTML] AI-enabled adaptive learning systems: A systematic map** of the literature

T Kabudi, I Pappas, DH Olsen - Computers and education: Artificial …, 2021 - Elsevier
Mobile internet, cloud computing, big data technologies, and significant breakthroughs in
Artificial Intelligence (AI) have all transformed education. In recent years, there has been an …

Self-regulated learning and learning analytics in online learning environments: A review of empirical research

O Viberg, M Khalil, M Baars - … of the tenth international conference on …, 2020 - dl.acm.org
Self-regulated learning (SRL) can predict academic performance. Yet, it is difficult for
learners. The ability to self-regulate learning becomes even more important in emerging …

[HTML][HTML] Fuzzy-set Qualitative Comparative Analysis (fsQCA): Guidelines for research practice in Information Systems and marketing

IO Pappas, AG Woodside - International journal of information …, 2021 - Elsevier
The increasing interest in fuzzy-set Qualitative Comparative Analysis (fsQCA) in Information
Systems and marketing raises the need for a tutorial paper that discusses the basic concepts …

Predicting academic performance: a systematic literature review

A Hellas, P Ihantola, A Petersen, VV Ajanovski… - … companion of the 23rd …, 2018 - dl.acm.org
The ability to predict student performance in a course or program creates opportunities to
improve educational outcomes. With effective performance prediction approaches …

[HTML][HTML] Multimodal data as a means to understand the learning experience

MN Giannakos, K Sharma, IO Pappas… - International Journal of …, 2019 - Elsevier
Most work in the design of learning technology uses click-streams as their primary data
source for modelling & predicting learning behaviour. In this paper we set out to quantify …

Explainable AI for data-driven feedback and intelligent action recommendations to support students self-regulation

M Afzaal, J Nouri, A Zia, P Papapetrou… - Frontiers in Artificial …, 2021 - frontiersin.org
Formative feedback has long been recognised as an effective tool for student learning, and
researchers have investigated the subject for decades. However, the actual implementation …

[HTML][HTML] Identifying the combinations of motivations and emotions for creating satisfied users in SNSs: An fsQCA approach

IO Pappas, S Papavlasopoulou, P Mikalef… - International Journal of …, 2020 - Elsevier
Abstract Social Networking Sites (SNSs) play an important role in our daily lives and the
number of their users increases regularly. To understand how users can be satisfied in the …

Temporal analysis for dropout prediction using self-regulated learning strategies in self-paced MOOCs

PM Moreno-Marcos, PJ Muñoz-Merino… - Computers & …, 2020 - Elsevier
Abstract MOOCs (Massive Open Online Courses) have usually high dropout rates. Many
articles have proposed predictive models in order to early detect learners at risk to alleviate …

Informative feedback and explainable AI-based recommendations to support students' self-regulation

M Afzaal, A Zia, J Nouri, U Fors - Technology, Knowledge and Learning, 2024 - Springer
Self-regulated learning is an essential skill that can help students plan, monitor, and reflect
on their learning in order to achieve their learning goals. However, in situations where there …

Research on the development of an effective mechanism of using public online education resource platform: TOE model combined with FS-QCA

G Chen, P Chen, Y Wang, N Zhu - Interactive Learning …, 2024 - Taylor & Francis
The paper describes the research of causal relationships between the factors of
technological, organizational, environmental, and personal contexts and their influence on …