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Ozan Rasit Yürüm; Tugba Taskaya-Temizel; Soner Yildirim – Technology, Knowledge and Learning, 2024
The purpose of this study was to investigate the use of predictive video analytics in online courses in the literature. A systematic literature review was performed based on a hybrid search strategy that included both database searching and backward snowballing. In total, 77 related publications published between 2011 and April 2023 were…
Descriptors: Literature Reviews, Distance Education, Online Courses, Video Technology
Wong, Billy Tak-ming; Li, Kam Cheong; Cheung, Simon K. S. – Journal of Computing in Higher Education, 2023
This paper presents an analysis of learning analytics practices which aimed to achieve personalised learning. It addresses the need for a systematic analysis of the increasing amount of practices of learning analytics which are targeted at personalised learning. The paper summarises and highlights the characteristics and trends in relevant…
Descriptors: Learning Analytics, Individualized Instruction, Context Effect, Stakeholders
Plintz, Nicolai; Ifenthaler, Dirk – International Association for Development of the Information Society, 2023
Emotions are vital to learning success, especially in online learning environments. They make the difference between learning success and failure. Unfortunately, learners' emotional state is still rarely considered in online learning and teaching, although it is an important driver of learning success. This paper reports a work-in-progress…
Descriptors: Online Courses, Academic Achievement, Emotional Experience, Measurement
Veluvali, Parimala; Surisetti, Jayesh – Higher Education for the Future, 2022
Online education helped resume learning that had come to a momentary and uncertain pause with the onset of COVID-19 pandemic across the globe. Since then, learning in many educational institutions continued through synchronous and asynchronous modes, with teaching being undertaken remotely on digital platforms. In this large-scale migration…
Descriptors: Integrated Learning Systems, Learner Engagement, Higher Education, Literature Reviews
Wang, Qin; Mousavi, Amin; Lu, Chang – Distance Education, 2022
The field of learning analytics (LA) is developing rapidly. However, previous empirical studies on LA were largely data-driven. Little attention has been paid to theory-driven LA studies. The present scoping review identified and summarized empirical theory-driven LA studies, aiming to reveal how theories were integrated into LA. The review…
Descriptors: Learning Analytics, Journal Articles, Databases, Metacognition
Alina Hase; Poldi Kuhl – Educational Technology Research and Development, 2024
Data-based decision-making is a well-established field of research in education. In particular, the potential of data use for addressing heterogeneous learning needs is emphasized. With data collected during the learning process of students, teachers gain insight into the performance, strengths, and weaknesses of their students and are potentially…
Descriptors: Instructional Design, Technology Uses in Education, Journal Articles, Decision Making
Chen, Xieling; Zou, Di; Xie, Haoran; Wang, Fu Lee – International Journal of Educational Technology in Higher Education, 2021
Innovative information and communication technologies have reformed higher education from the traditional way to smart learning. Smart learning applies technological and social developments and facilitates effective personalized learning with innovative technologies, especially smart devices and online technologies. Smart learning has attracted…
Descriptors: Information Technology, Electronic Learning, Bibliometrics, Periodicals
Montse Guitert Catasús; Teresa Romeu Fontanillas; Juliana E. Raffaghelli; Juan Pedro Cerro Martínez – Journal of Learning Analytics, 2025
This article systematically reviews the role of learning analytics (LA) in collaborative learning, particularly exploring how it can empower both teachers and students. Based on the analysis of 87 articles, selected by adopting the PRISMA workflow, the study discusses the intersection of LA with collaborative learning (CL), emphasizing the…
Descriptors: Learning Analytics, Teacher Empowerment, Student Empowerment, Cooperative Learning
Ahmad Faza; Ilyana Agri Lestari – International Review of Research in Open and Distributed Learning, 2025
When students enter higher education, self-regulated learning (SRL) involving goal setting, planning, monitoring, and reflection is crucial for academic success. This study systematically reviews SRL strategies, supporting technologies, and their impacts, especially with the shift to online learning due to the COVID-19 pandemic. Following…
Descriptors: Metacognition, Educational Benefits, Learning Management Systems, Goal Orientation
Blumenstein, Marion – Journal of Learning Analytics, 2020
The field of learning analytics (LA) has seen a gradual shift from purely data-driven approaches to more holistic views of improving student learning outcomes through data-informed learning design (LD). Despite the growing potential of LA in higher education (HE), the benefits are not yet convincing to the practitioner, in particular aspects of…
Descriptors: Learning Analytics, Instructional Design, Effect Size, Higher Education
Herrada, Rosario I.; Baños, Raúl; Alcayde, Alfredo – Education Sciences, 2020
In recent years, several innovations have emerged in the field of education, including Blended-Learning, Massive Open Online Courses, Flipped Classroom and Gamification. In particular, several investigations have highlighted the effectiveness of student response systems, or clickers, in different subjects and disciplines. Although some literature…
Descriptors: Student Reaction, Audience Response Systems, Instructional Effectiveness, Learning Analytics