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Khalid Alalawi; Rukshan Athauda; Raymond Chiong; Ian Renner – Education and Information Technologies, 2025
Learning analytics intervention (LAI) studies aim to identify at-risk students early during an academic term using predictive models and facilitate educators to provide effective interventions to improve educational outcomes. A major impediment to the uptake of LAI is the lack of access to LAI infrastructure by educators to pilot LAI, which…
Descriptors: Intervention, Learning Analytics, Guidelines, Prediction
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Luiz Rodrigues; Guilherme Guerino; Thomaz E. V. Silva; Geiser C. Challco; Lívia Oliveira; Rodolfo S. da Penha; Rafael F. Melo; Thales Vieira; Marcelo Marinho; Valmir Macario; Ig I. Bittencourt; Diego Dermeval; Seiji Isotani – International Journal of Artificial Intelligence in Education, 2025
Intelligent Tutoring Systems (ITS) possess significant potential to enhance learning outcomes. However, deploying ITSs in global south countries presents challenges due to their frequent lack of essential technological resources, such as computers and internet access. The concept of AIED Unplugged has emerged to bridge this digital divide,…
Descriptors: Teacher Attitudes, Intelligent Tutoring Systems, Numeracy, Mathematics Education
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Yan Liu; Wei Wang; Enwei Xu – SAGE Open, 2025
Interventions are crucial in the learning analysis process. Learning analytics-based interventions are being widely applied in the field of education. However, it is currently unclear whether learning analytics-based interventions effectively enhance students' learning effects. To conduct a comprehensive review assessing the extent to which…
Descriptors: Learning Analytics, Intervention, Teaching Methods, Instructional Effectiveness
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Maya Usher; Noga Reznik; Gilad Bronshtein; Dan Kohen-Vacs – Journal of Learning Analytics, 2025
Computational thinking (CT) is a critical 21st-century skill that equips undergraduate students to solve problems systematically and think algorithmically. A key component of CT is computational creativity, which enables students to generate novel solutions within programming constraints. Humanoid robots are increasingly explored as promising…
Descriptors: Computation, Thinking Skills, Creativity, Robotics
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René Lobo-Quintero – Journal of Learning Analytics, 2025
This study investigates the integration of artificial intelligence into the Think-Pair-Share (TPS) methodology through a learning analytics lens. Using a mixed-methods quasi-experimental design (N=140), we examined how an AI-enhanced collaborative platform influences creative thinking among computer science undergraduates. The experimental group…
Descriptors: Artificial Intelligence, Cooperative Learning, Creative Thinking, Undergraduate Students
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Gaftandzhieva, Silvia; Docheva, Mariya; Doneva, Rositsa – Education and Information Technologies, 2021
Many educational institutions use a large number of information systems to automate their activities for different stakeholders' groups -- learning management systems, student diary, library system, digital repositories, management system, etc. This leads to a significant increase in the volume and variety of data that can be captured, stored, and…
Descriptors: Foreign Countries, Learning Analytics, Secondary Education, Stakeholders
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Guzmán-Valenzuela, Carolina; Gómez-González, Carolina; Rojas-Murphy Tagle, Andrés; Lorca-Vyhmeister, Alejandro – International Journal of Educational Technology in Higher Education, 2021
In a context where learning mediated by technology has gained prominence in higher education, learning analytics has become a powerful tool to collect and analyse data with the aim of improving students' learning. However, learning analytics is part of a young community and its developments deserve further exploration. Some critical stances claim…
Descriptors: Learning Analytics, Higher Education, Educational Research, Communities of Practice
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Morado, María Florencia; Melo, Ayelén Eva; Jarman, Angela – British Journal of Educational Technology, 2021
Makerspaces are collaborative workspaces where people construct their ideas using a variety of materials and tools ranging from no tech to high tech, where components can be moulded and transformed into different projects depending on each maker's vision. Educational makerspaces allow educators to respond to the diverse interests of individual…
Descriptors: Shared Resources and Services, Student Projects, Design, Case Studies
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El Aouifi, Houssam; El Hajji, Mohamed; Es-Saady, Youssef; Douzi, Hassan – Education and Information Technologies, 2021
This paper analyzes how learners interact with the pedagogical sequences of educational videos, and its effect on their performance. In this study, the suggested video courses are segmented on several pedagogical sequences. In fact, we're not focusing on the type of clicks made by learners, but we're concentrating on the pedagogical sequences in…
Descriptors: Video Technology, Student Behavior, Prediction, Learning Analytics
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Hamal, Oussama; El Faddouli, Nour-Eddine; Harouni, Moulay Hachem Alaoui – World Journal on Educational Technology: Current Issues, 2021
Nowadays, AI is a real springboard for finding solutions to optimize and improve learning and teaching processes. This issue has been a focus of humanity for millennia, and very significant advances have been made in this quest. This article aims to address the issue of optimizing and improving learning and teaching processes through AI…
Descriptors: Artificial Intelligence, Learning Analytics, Computer Uses in Education, Classification
Ionita, Remus Florentin; Dascalu, Mihai; Corlatescu, Dragos-Georgian; McNamara, Danielle S – Grantee Submission, 2021
Exploring new or emerging research domains or subdomains can become overwhelming due to the magnitude of available resources and the high speed at which articles are published. As such, a tool that curates the information and underlines central entities, both authors and articles from a given research context, is highly desirable. Starting from…
Descriptors: Prediction, Learning Analytics, Authors, Network Analysis
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Ruiperez-Valiente, Jose A.; Kim, Yoon Jeon; Baker, Ryan S.; Martinez, Pedro A.; Lin, Grace C. – IEEE Transactions on Learning Technologies, 2023
Previous research and experiences have indicated the potential that games have in educational settings. One of the possible uses of games in education is as game-based assessments (GBA), using game tasks to generate evidence about skills and content knowledge that can be valuable. There are different approaches in the literature to implement the…
Descriptors: Affordances, Game Based Learning, Student Evaluation, Multivariate Analysis
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Echeverria, Vanessa; Yang, Kexin; Lawrence, LuEttaMae; Rummel, Nikol; Aleven, Vincent – IEEE Transactions on Learning Technologies, 2023
Combining individual and collaborative learning is common, but dynamic combinations (which happen as-the-need arises, rather than in preplanned ways, and may happen on an individual basis) are rare. This work reports findings from a technology probe study exploring alternative designs for classroom co-orchestration support for dynamically…
Descriptors: Man Machine Systems, Artificial Intelligence, Cooperative Learning, Educational Technology
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Alzahrani, Asma Shannan; Tsai, Yi-Shan; Iqbal, Sehrish; Marcos, Pedro Manuel Moreno; Scheffel, Maren; Drachsler, Hendrik; Kloos, Carlos Delgado; Aljohani, Naif; Gasevic, Dragan – Education and Information Technologies, 2023
Potential benefits of learning analytics (LA) for improving students' performance, predicting students' success, and enhancing teaching and learning practice have increasingly been recognized in higher education. However, the adoption of LA in higher education institutions (HEIs) to date remains sporadic and predominantly small in scale due to…
Descriptors: Learning Analytics, Higher Education, Adoption (Ideas), Epistemology
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Park, Eunsung; Ifenthaler, Dirk; Clariana, Roy B. – British Journal of Educational Technology, 2023
The real-time and granularized learning information and recommendations available from adaptive learning technology can provide learners with feedback that is personalized. However, at an individual level, learners often experience technological and pedagogical conflicts. Learners have more freedom to accept, ignore or reject the feedback while…
Descriptors: Metacognition, Learning Analytics, Learning Management Systems, Learning Strategies
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