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Deho, Oscar Blessed; Zhan, Chen; Li, Jiuyong; Liu, Jixue; Liu, Lin; Duy Le, Thuc – British Journal of Educational Technology, 2022
With the widespread use of learning analytics (LA), ethical concerns about fairness have been raised. Research shows that LA models may be biased against students of certain demographic subgroups. Although fairness has gained significant attention in the broader machine learning (ML) community in the last decade, it is only recently that attention…
Descriptors: Ethics, Learning Analytics, Social Bias, Computer Software
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Sheikh, Riyaz Abdullah; Bhatia, Surbhi; Metre, Sujit Gajananrao; Faqihi, Ali Yahya A. – Journal of Applied Research in Higher Education, 2022
Purpose: In spite of the popularity of learning analytics (LA) in higher education institutions (HEIs), the success rate and value gained through LA projects is still little and unclear. The existing research on LA focusses more on tactical capabilities rather than its effect on organizational value. The key questions are what are the expected…
Descriptors: Learning Analytics, Higher Education, Prediction, Information Technology
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Zheng, Lanqin; Niu, Jiayu; Zhong, Lu – British Journal of Educational Technology, 2022
Learning analytics (LA) has been widely adopted in research on education. However, most studies in the area have conducted LA after computer-supported collaborative learning (CSCL) activities rather than during CSCL. To address this problem, this study proposed a LA-based real-time feedback approach based on a deep neural network model to improve…
Descriptors: Learning Analytics, Feedback (Response), Outcomes of Education, Cooperative Learning
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Wongvorachan, Tarid; Lai, Ka Wing; Bulut, Okan; Tsai, Yi-Shan; Chen, Guanliang – Journal of Applied Testing Technology, 2022
Feedback is a crucial component of student learning. As advancements in technology have enabled the adoption of digital learning environments with assessment capabilities, the frequency, delivery format, and timeliness of feedback derived from educational assessments have also changed progressively. Advanced technologies powered by Artificial…
Descriptors: Artificial Intelligence, Feedback (Response), Learning Analytics, Natural Language Processing
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Zhang, Shu; Yi, Jidong; Li, Zijie; Yang, Minghong – International Journal of Information and Communication Technology Education, 2022
In this paper, CiteSpace is used to conduct metrological and visual analysis of the core journals of blended learning research (2003-2021) collected by the China National Knowledge Infrastructure (CNKI). The results show that the number of studies on blended learning in China is increasing year by year, which indicates that the research on blended…
Descriptors: Foreign Countries, Blended Learning, Educational Research, Educational Trends
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Ramli, Izzat Syahir Mohd; Maat, Siti Mistima; Khalid, Fariza – Cypriot Journal of Educational Sciences, 2022
Game-based learning has received increasing attention in recent years as it could help improve pupils' motivation, self-efficacy, and achievement. Technological innovations like learning analytics (LA) and GBL offer pedagogical support for teachers. GBL could significantly support pupils' learning as a learning approach compared to conventional…
Descriptors: Game Based Learning, Learning Analytics, Elementary School Mathematics, Cognitive Processes
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Çakiroglu, Ünal; Kahyar, Sefa – Education and Information Technologies, 2022
This study aims to use LMS log data to suggest a way to understand CoI constructs. Students' interactions in Moodle components were weighted for indicators of cognitive, teaching and social presences. Traces reflecting students' online interactions were obtained from the Moodle LMS and analyzed through learning analytics techniques. The data is…
Descriptors: Learning Analytics, Communities of Practice, Integrated Learning Systems, Interaction
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Hod, Yotam; Sagy, Ornit – Information and Learning Sciences, 2022
Purpose: Enculturation is a central and defining idea within socioculturally minded research that informs the design of school learning environments. Now, three decades since the idea has emerged in the field, the authors believe it is time to reflect on it because of several ambiguities that have emerged from its use, which is the purpose of this…
Descriptors: Meta Analysis, Discourse Analysis, Research Reports, Learning Analytics
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Aakriti Kumar; Aaron S. Benjamin; Andrew Heathcote; Mark Steyvers – npj Science of Learning, 2022
Practice in real-world settings exhibits many idiosyncrasies of scheduling and duration that can only be roughly approximated by laboratory research. Here we investigate 39,157 individuals' performance on two cognitive games on the Lumosity platform over a span of 5 years. The large-scale nature of the data allows us to observe highly varied…
Descriptors: Comparative Analysis, Computational Linguistics, Learning Processes, Computer Games
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Ariely, Moriah; Nazaretsky, Tanya; Alexandron, Giora – International Journal of Artificial Intelligence in Education, 2023
Machine learning algorithms that automatically score scientific explanations can be used to measure students' conceptual understanding, identify gaps in their reasoning, and provide them with timely and individualized feedback. This paper presents the results of a study that uses Hebrew NLP to automatically score student explanations in Biology…
Descriptors: Artificial Intelligence, Algorithms, Natural Language Processing, Hebrew
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Tong, Yao; Zhan, Zehui – Interactive Technology and Smart Education, 2023
Purpose: The purpose of this study is to set up an evaluation model to predict massive open online courses (MOOC) learning performance by analyzing MOOC learners' online learning behaviors, and comparing three algorithms -- multiple linear regression (MLR), multilayer perceptron (MLP) and classification and regression tree (CART).…
Descriptors: MOOCs, Online Courses, Learning Analytics, Prediction
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Swauger, Shea; Kalir, Remi – Journal of Learning Analytics, 2023
This article advances an abolitionist reframing of learning analytics (LA) that explores the benefits of productive disorientation, considers potential harms and care made possible by LA, and suggests the abolitionist imagination as an important educational practice. By applying abolitionist concepts to LA, we propose it may be feasible to open…
Descriptors: Learning Analytics, Justice, Imagination, Futures (of Society)
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Zhou, Jin; Ye, Jun-min – Interactive Learning Environments, 2023
Sentiment analysis (SA) is widespread across all fields and has become one of the most active topics in education research, and there is a growing body of papers published. So far, however, there has been little discussion about comprehensive literature reviews in SA in education. Therefore, this study aims to review the high-qualified scientific…
Descriptors: Educational Research, Electronic Learning, Psychological Patterns, Literature Reviews
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Ben-Yaacov, Anat; Hershkovitz, Arnon – Journal of Educational Computing Research, 2023
Block programming has been suggested as a way of engaging young learners with the foundations of programming and computational thinking in a syntax-free manner. Indeed, syntax errors--which form one of two broad categories of errors in programming, the other one being logic errors--are omitted while block programming. However, this does not mean…
Descriptors: Programming, Computation, Thinking Skills, Error Patterns
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Knoop-van Campen, Carolien A. N.; Wise, Alyssa; Molenaar, Inge – Interactive Learning Environments, 2023
Teacher dashboards provide real-time information about students' performance and progress, which help K-12 teachers to adjust feedback to student' specific needs during learning. Prior research indicated two problems with respect to how teachers provide feedback: (i) teachers do not always select the most effective feedback to support student'…
Descriptors: Educational Technology, Learning Analytics, Feedback (Response), Low Achievement
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