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Abdullah Saykili; Sinan Aydin; Yusuf Zafer Can Ugurhan; Aylin Öztürk; Mustafa Kemal Birgin – Technology, Knowledge and Learning, 2025
Learning analytics offer unprecedented opportunities for tracking and storing learning behaviors, thereby providing chances for optimizing learner engagement and success. The limited adoption of learning analytics by educational institutions hinders efforts to optimize learning processes through organizational and educational interventions,…
Descriptors: Undergraduate Students, Online Courses, Learning Analytics, Student Characteristics
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Shiqi Liu; Sannyuya Liu; Xian Peng; Jianwen Sun; Zhi Liu – Journal of Educational Computing Research, 2025
Forum discussions in Massive Open Online Courses (MOOCs) play a crucial role in promoting learning engagement and academic achievement. In particular, discussion topics significantly influence learners' emotional and cognitive engagement. However, the complex interrelationships among these factors remain underexplored. This study introduces an…
Descriptors: MOOCs, Difficulty Level, Learner Engagement, Academic Achievement
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Khalid Alalawi; Rukshan Athauda; Raymond Chiong – International Journal of Artificial Intelligence in Education, 2025
The use of educational data mining and machine learning to analyse large data sets collected by educational institutions has the potential to discover valuable insights for decision-making. One such area that has gained attention is to predict student performance by analysing large educational data sets. In the relevant literature, many studies…
Descriptors: Learning Analytics, Technology Integration, Electronic Learning, Educational Practices
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Nedime Selin Çöpgeven; Mehmet Firat – Journal of Educators Online, 2024
Learning processes can now be transferred to digital environments, allowing for the tracking of learners' digital footprints. The field of learning analytics focuses on the efficient use of these digital records to improve both learning experiences and processes. Dashboards are the tangible outputs of learning analytics. The use of dashboards in…
Descriptors: Electronic Learning, Distance Education, Academic Achievement, Educational Technology
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Hyomin Kim; Gyunam Park; Minsu Cho – Education and Information Technologies, 2024
Learning analytics, located at the intersection of learning science, data science, and computer science, aims to leverage educational data to enhance teaching and learning. However, as educational data increases, distilling meaningful insights presents challenges, particularly concerning individual learner differences. This work introduces a…
Descriptors: Learner Engagement, Academic Achievement, Learning Processes, Learning Analytics
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Emine Cabi; Hacer Türkoglu – International Review of Research in Open and Distributed Learning, 2025
Recent advancements in educational technology have enabled teachers to use learning analytics (LA) and flipped classrooms. The present study investigated the impact of a LA-based feedback system on students' academic achievement and self-regulated learning (SRL) in a flipped learning (FL) environment. The study used a pretest-posttest control…
Descriptors: Learning Analytics, Feedback (Response), Academic Achievement, Independent Study
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Senay Kocakoyun Aydogan; Turgut Pura; Fatih Bingül – Malaysian Online Journal of Educational Technology, 2024
In every culture and era, education is considered the most fundamental reality and rule that societies prioritize and deem essential. Throughout the process spanning thousands of years, from the emergence of writing to the present day, education has undergone various forms and formats of change. Education has been a continuous guide for shaping,…
Descriptors: Prediction, Academic Achievement, Artificial Intelligence, Algorithms
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Wang, Qin; Mousavi, Amin – British Journal of Educational Technology, 2023
Technologies and teaching practices can provide a rich log data, which enables learning analytics (LA) to bring new insights into the learning process for ultimately enhancing student success. This type of data has been used to discover student online learning patterns, relationships between online learning behaviors and assessment performance.…
Descriptors: Predictor Variables, Academic Achievement, Literature Reviews, Meta Analysis
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Smithers, Laura – Learning, Media and Technology, 2023
This article examines the work of predictive analytics in shaping the social worlds in which they thrive, and in particular the world of the first year of Great State University's student success initiative. Specifically, this article investigates the following research paradox: predictive analytics, as driven by a logic premised on predicting the…
Descriptors: Prediction, Learning Analytics, Academic Achievement, College Students
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Valeria Henríquez; Julio Guerra; Eliana Scheihing – British Journal of Educational Technology, 2024
Despite the importance of academic counselling for student success, providing timely and personalized guidance can be challenging for higher education institutions. In this study, we investigate the impact of counselling instances supported by a learning analytics (LA) tool, called TrAC, which provides specific data about the curriculum and grades…
Descriptors: Learning Analytics, Academic Advising, Influences, Higher Education
Juliana Irene Owen Thompson – ProQuest LLC, 2023
Aurelius School District used Curriculum Associates' i-Ready program, which was philosophically aligned to the science of reading and included i-Ready Diagnostic, i-Ready Instruction, and Teacher Toolbox, to improve Cole Middle School students' reading achievement. Because of the high monetary cost of i-Ready, the school district was considering…
Descriptors: Middle Schools, Learning Management Systems, Learning Analytics, Reading Achievement
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Taihe Cao; Zhaoli Zhang; Wenli Chen; Jiangbo Shu – Interactive Learning Environments, 2023
Online learning with the characteristics of flexibility and autonomy has become a widespread and popular mode of higher education in which students need to engage in self-regulated learning (SRL) to achieve success. The purpose of this study is to utilize clickstream data to reveal the time management of SRL. This study adopts learning analytics…
Descriptors: Time Management, Self Management, Online Courses, Learning Analytics
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Jun Oshima; Ritsuko Oshima; Anthony J. Taiki Kawakubo – Journal of Computer Assisted Learning, 2025
Background: This study aimed to develop and test new analytics for knowledge-building practices from the transactive perspective. Based on a literature review, network analysis was identified as a promising analytical tool for these practices. We observed two aspects of network analysis that could be further developed: the multilayers of networks…
Descriptors: Network Analysis, Concept Formation, Learning Processes, Performance
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Anuradha Peramunugamage; Uditha W. Ratnayake; Shironica P. Karunanayaka; Ellen Francine Barbosa; William Simão de Deus; Chulantha L. Jayawardena; R. K. J. de Silva – Journal of Learning for Development, 2025
Interactions among students in online learning environments are difficult to monitor but can be crucial for their academic performance. Moodle is one of the best and most popular online learning platforms, where its log records can reveal important information on students' engagement and the respective performance. This study examines the degree…
Descriptors: Cooperative Learning, Interaction, Electronic Learning, Learning Management Systems
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Kew, Si Na; Tasir, Zaidatun – Technology, Knowledge and Learning, 2022
The application of learning analytics in an online learning environment is increasing among researchers in educational fields because it can assist in providing standard and measurable decision making about student success. In this regard, there is a need for the online learning society and practitioners to be informed about how learning analytics…
Descriptors: Learning Analytics, Electronic Learning, Educational Environment, Literature Reviews
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