Beware of metacognitive laziness: Effects of generative artificial intelligence on learning motivation, processes, and performance

Y Fan, L Tang, H Le, K Shen, S Tan… - British Journal of …, 2024 - Wiley Online Library
With the continuous development of technological and educational innovation, learners
nowadays can obtain a variety of supports from agents such as teachers, peers, education …

Unpacking student engagement in higher education learning analytics: a systematic review

N Bergdahl, M Bond, J Sjöberg, M Dougherty… - International Journal of …, 2024 - Springer
Educational outcomes are heavily reliant on student engagement, yet this concept is
complex and subject to diverse interpretations. The intricacy of the issue arises from the …

Impacts of generative AI on student teachers' task performance and collaborative knowledge construction process in mind mapping-based collaborative environment

S An, S Zhang, T Guo, S Lu, W Zhang, Z Cai - Computers & Education, 2024 - Elsevier
Collaboration has long been recognized as an efficacious pedagogical strategy. With the
visual pedagogical scaffold, for instance, mind maps, learners can externalize their …

Secondary School Students' Enacted Self-Regulated Learning Strategies in a Computer-Based Writing Task–Insights from Digital Trace Data and Interviews

O Aksela, J Lämsä, S Järvelä - Technology, Knowledge and Learning, 2024 - Springer
Studying in digital learning environments highlights the skills needed to regulate one's own
learning. In youth, students are acquiring and developing these skills, but for many students …

Network analytics to unveil links of learning strategies, time management, and academic performance in a flipped classroom

M Raković, W Matcha, B Eagan… - Journal of Learning …, 2023 - research.monash.edu
Preparatory learning tasks are considered critical for student success in flipped classroom
courses. However, less is known regarding which learning strategies students use and …

Examining self-regulation models of programming students in visual environments: A bottom-up analysis of learning behaviour

Z Duo, J Zhang, Y Ren, X Xu - Education and Information Technologies, 2024 - Springer
Self-regulated learning (SRL) significantly impacts the process and outcome of
programming problem-solving. Studies on SRL behavioural patterns of programming …

Self-regulated strategy development's effectiveness: underlying cognitive and metacognitive mechanisms

J Fernandez, J Guilbert - Metacognition and Learning, 2024 - Springer
Abstract Self-Regulated Strategy Development (SRSD) is a method designed to explicitly
teach students self-regulation skills and help them implement them. While SRSD's beneficial …

Humanistic data art visualization for analyzing learner growth in Challenge Based Learning programs

D Tangredi, G Katics, S Perna - Frontiers in Psychology, 2024 - frontiersin.org
This perspective article investigates the potential of applying artistic or “humanistic” data
visualization to improve the understanding of learner's growth in the context of highly …

Self-regulated Learning Processes in Secondary Education: A Network Analysis of Trace-based Measures

Y Cheng, R Guan, T Li, M Raković, X Li, Y Fan… - arXiv preprint arXiv …, 2024 - arxiv.org
While the capacity to self-regulate has been found to be crucial for secondary school
students, prior studies often rely on self-report surveys and think-aloud protocols that present …

Measuring Affective and Motivational States as Conditions for Cognitive and Metacognitive Processing in Self-Regulated Learning

M Raković, Y Li, NM Foumani, M Salehi… - Proceedings of the 14th …, 2024 - dl.acm.org
Even though the engagement in self-regulated learning (SRL) has been shown to boost
academic performance, SRL skills of many learners remain underdeveloped. They often …