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Henrique S. Mamede, Editor; Arnaldo Santos, Editor – IGI Global, 2025
The ever-changing landscape of distance learning AI and learning analytics transforms engagement and efficiency in education. AI systems analyze behavior and performance data to provide real-time feedback for improved outcomes. Learning analytics further help educators to identify at-risk students while fostering better teaching strategies. By…
Descriptors: Artificial Intelligence, Technology Uses in Education, Learning Analytics, Distance Education
Aytaj Ismayilzada; Ayaz Karimov; Mirka Saarela – Journal of Interactive Learning Research, 2025
This systematic literature review explores learning analytics (LA) in serious games within virtual reality (VR) environments, focusing on studies from the International Conference on Learning Analytics and Knowledge (LAK) and the Journal of Learning Analytics (JLA). Conducted in two stages, the review identifies key domains where serious games in…
Descriptors: Educational Games, Computer Simulation, Technology Uses in Education, Instructional Effectiveness
Dirk Tempelaar; Bart Rienties; Bas Giesbers – International Journal of Educational Technology in Higher Education, 2024
Educational innovations, particularly those in online education and technology-enhanced learning, some accelerated by the recent pandemic, take centre stage in this journal. Examples include the resurgence of the flipped classroom methodology, supported by instructional technology, the utilization of formative assessment with technological…
Descriptors: Learning Analytics, Formative Evaluation, Educational Innovation, Technology Uses in Education
Serena Lee-Cultura; Kshitij Sharma; Michail N. Giannakos – IEEE Transactions on Learning Technologies, 2024
Teacher dashboards provide insights on students' progress through visualizations and scores derived from data generated during teaching and learning activities (e.g., response times and task correctness) to improve teaching. Despite the potential usefulness of enhancing teacher dashboards, and the respective teaching practices, with rich…
Descriptors: Educational Technology, Learning Analytics, Technology Uses in Education, Student Evaluation
Anca Muresan; Mihaela Cardei; Ionut Cardei – International Educational Data Mining Society, 2025
Early identification of student success is crucial for enabling timely interventions, reducing dropout rates, and promoting on-time graduation. In educational settings, AI-powered systems have become essential for predicting student performance due to their advanced analytical capabilities. However, effectively leveraging diverse student data to…
Descriptors: Artificial Intelligence, At Risk Students, Learning Analytics, Technology Uses in Education
Slaviša Radovic; Niels Seidel – Innovative Higher Education, 2025
The integration of advanced learning analytics and data-mining technology into higher education has brought various opportunities and challenges, particularly in enhancing students' self-regulated learning (SRL) skills. Analyzing developed features for SRL support, it has become evident that SRL support is not a binary concept but rather a…
Descriptors: Scoring Rubrics, Evaluation Methods, Higher Education, Educational Technology
Priya Harindranathan; James Folkestad; Jemshid K. – Journal of Educational Technology, 2025
Due to the use of online learning platforms and learning management systems, students are now working unsupervised on quiz-taking platforms. These unsupervised online forms of assessment are replacing traditional supervised quizzes in conventional classrooms. It is unclear whether the quiz-taking behaviors of students in these settings align with…
Descriptors: Undergraduate Students, Microbiology, Science Education, Computer Assisted Testing
Teemu Valtonen; Teija Paavilainen; Sonsoles López-Pernas; Mohamed Saqr; Laura Hirsto – Technology, Knowledge and Learning, 2025
This study focuses on learning analytics from the perspective of elementary and secondary classroom teachers (grades one to nine). The aim is to explore teachers' perceptions about the use of learning analytics, the challenges and opportunities associated with the tools, and the future of the analytics. The research is based on qualitative data:…
Descriptors: Elementary School Teachers, Secondary School Teachers, Learning Analytics, Teacher Attitudes
Flávio Marques; Leonardo Lignani; João Quadros; Myrna Amorim; Windson Viana; Eduardo Ogasawara; Joel dos Santos – Technology, Knowledge and Learning, 2025
Educational games help reinforce educational concepts. They help students learn through hypothesizing, probing, and reflecting upon the game environment. Understanding the impact of a game is important before deploying it in a class. Recent studies in learning analysis describe methodologies and approaches for analyzing educational games. However,…
Descriptors: Design, Educational Games, Reinforcement, Game Based Learning
O. Trevisan; R. Christensen; K. Drossel; S. Friesen; A. Forkosh-Baruch; M. Phillips – Technology, Knowledge and Learning, 2024
In an era marked by the widespread use of digital technology, educators face the need to constantly learn and develop their own new literacies for the information era, as well as their competencies to teach and apply best practices using technologies. This paper underscores the vital role of ongoing teacher professional learning (OTPL) with a…
Descriptors: Educational Technology, Technology Uses in Education, Faculty Development, Reflective Teaching
Onur Karademir; Lena Borgards; Daniele Di Mitri; Sebastian Strauß; Marcus Kubsch; Markus Brobeil; Adrian Grimm; Sebastian Gombert; Nikol Rummel; Knut Neumann; Hendrik Drachsler – Journal of Learning Analytics, 2024
This paper presents a teacher dashboard intervention study in secondary school practice involving teachers (n = 16) with their classes (n = 22) and students (n = 403). A quasi-experimental treatment-control group design was implemented to compare student learning outcomes between classrooms where teachers did not have access to the dashboard and…
Descriptors: Learning Analytics, Intervention, Educational Technology, Secondary School Students
Kasra Lekan; Zachary A. Pardos – Journal of Learning Analytics, 2025
Choosing an undergraduate major is an important decision that impacts academic and career outcomes. In this work, we investigate augmenting personalized human advising for major selection using a large language model (LLM), GPT-4. Through a three-phase survey, we compare GPT suggestions and responses for undeclared first- and second-year students…
Descriptors: Technology Uses in Education, Artificial Intelligence, Academic Advising, Majors (Students)
Seyma Ulukok-Yildirim; Duygu Sonmez – Journal of Education in Science, Environment and Health, 2025
Today, the importance of artificial intelligence in science learning and teaching is rapidly increasing. The growing interest in this field and the resulting increase in academic publications on the subject make it challenging to understand its progress and trends on a global scale. Furthermore, a literature review reveals a notable lack of…
Descriptors: Bibliometrics, Literature Reviews, Artificial Intelligence, Science Education
Dana AlZoubi; Evrim Baran – Journal of Learning Analytics, 2024
There is a growing interest in the research and use of automated feedback dashboards that display classroom analytics; yet little is known about the detailed processes instructors use to make sense of these tools, and to determine the impact on their teaching practices. This research was conducted at a public Midwestern university within the…
Descriptors: Learning Analytics, College Faculty, Technology Uses in Education, Educational Technology
Ayse Alkan – International Journal of Technology in Education and Science, 2024
Artificial intelligence (AI) based education represents a significant transformation in the field of education of our age. Artificial intelligence (AI) technology has great potential to enrich the learning experience of special needs students, provide support to teachers, and reduce inequalities in education. Artificial intelligence (AI)…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Students with Disabilities

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