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Meva Bayrak Karsli; Sinem Cilligol Karabey; Ebubekir Kaba; Muhammed Guler; Melike Aydemir Arslan; Engin Kursun – Technology, Knowledge and Learning, 2025
Teaching analytics (TA) is concerned with the use of analytical techniques to the learning-teaching process, the quality of the classroom environment, and the effectiveness of teaching methods used to improve student learning. The purpose of this study is to map (1) distribution of citations and publications by years (2) the most influential…
Descriptors: Literature Reviews, Content Analysis, Educational Trends, Learning Analytics
Atezaz Ahmad; Jan Schneider; Dai Griffiths; Daniel Biedermann; Daniel Schiffner; Wolfgang Greller; Hendrik Drachsler – Journal of Computer Assisted Learning, 2024
Background: During the past decade, the increasingly heterogeneous field of learning analytics has been critiqued for an over-emphasis on data-driven approaches at the expense of paying attention to learning designs. Method and objective: In response to this critique, we investigated the role of learning design in learning analytics through a…
Descriptors: Instructional Design, Learning Analytics, Data Use, Literature Reviews
Fan Chen; Gaowei Chen – Educational Technology Research and Development, 2025
Inquiry-based learning (IBL) is a practice-oriented approach where students pose questions, conduct investigations, and interpret data to develop scientific knowledge and exploratory skills. Learning analytics (LA) holds great potential to capture these dynamic processes, which provides valuable insights to understand student inquiry behaviours…
Descriptors: Learning Analytics, Inquiry, Active Learning, Educational Research
Damla Mustu Yaldiz; Saniye Kuleli; Ozlem Soydan Oktay; Nedime Selin Copgeven; Elif Akyol Emmungil; Yusuf Yildirim; Firat Sosuncu; Mehmet Firat – Turkish Online Journal of Distance Education, 2024
The e-learning domain has witnessed a shift from the traditional behavioral approach to an individual centered learning approach based on learning analytics, with the aim of creating personalized and learner sensitive designs. A systematic literature review of 284 articles published between 2011 and 2022 in 133 different journals was conducted to…
Descriptors: Learning Analytics, Personal Autonomy, Independent Study, Learning Processes
Ida Martinez Lunde – Scandinavian Journal of Educational Research, 2024
Learning analytics platforms (LAPs) have become important modes of anticipatory governance in education. Educational futures are governed by utilizing various forms of learning analytics to track student data over time, suggesting that school leaders and teachers are expected to improve school quality by engaging with digital presentations of…
Descriptors: Learning Analytics, Time, Networks, Social Theories
Galiya A. Abayeva; Gulzhan S. Orazayeva; Saltanat J. Omirbek; Gaukhar B. Ibatova; Venera G. Zakirova; Vera K. Vlasova – Contemporary Educational Technology, 2023
The concept of ubiquitous learning has emerged as a pedagogical approach in response to the advancements made in mobile, wireless communication, and sensing technologies. The domain of ubiquitous learning is distinguished by swift progression, thereby presenting a difficulty in maintaining current knowledge of its developments. The implementation…
Descriptors: Bibliometrics, Databases, Electronic Learning, Educational Technology
Warakon Phommanee; Boonrat Plangsorn; Sutithep Siripipattanakul – Contemporary Educational Technology, 2023
Learning experience design (LXD) is a new wave in educational technology and learning design. This study was conducted to clarify conceptual change to practice by applying a systematic literature review to a combination text mining and bibliometric analysis technique to visualization network. Based on the study selection articles from SCOPUS. Our…
Descriptors: Learning Analytics, Learning Experience, Instructional Design, Bibliometrics
Baars, Martine; Viberg, Olga – International Journal of Mobile and Blended Learning, 2022
This paper discusses the possibilities of using and designing mobile technology for learning purposes coupled with learning analytics to support self-regulated learning (SRL). Being able to self-regulate one's own learning is important for academic success but is also challenging. Research has shown that without instructional support, students are…
Descriptors: Electronic Learning, Independent Study, Learning Analytics, Metacognition
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
Xieling Chen; Xinyue Li; Di Zou; Haoran Xie; Fu Lee Wang – Educational Technology Research and Development, 2025
Metacognition, which involves the deliberate awareness and analysis of one's own learning and thought processes, has gained significant traction among educational researchers. The burgeoning volume of metacognition studies underscores the importance of examining its current status and evolving trends. Leveraging topic modeling and bibliometrics on…
Descriptors: Metacognition, Bibliometrics, Research Reports, Periodicals
Chen, Xieling; Zou, Di; Xie, Haoran – Education and Information Technologies, 2022
Learning analytics (LA) has become an increasingly active field focusing on leveraging learning process data to understand and improve teaching and learning. With the explosive growth in the number of studies concerning LA, it is significant to investigate its research status and trends, particularly the thematic structure. Based on 3900 LA…
Descriptors: Learning Analytics, Educational Research, Bibliometrics, Periodicals
Li, Kam Cheong; Wong, Billy Tak-Ming – Interactive Technology and Smart Education, 2023
Purpose: This paper aims to present a comprehensive overview of the patterns and trends of publications on artificial intelligence (AI) in personalised learning. It addresses the need to investigate the intellectual structure and development of this area in view of the growing amount of related research and practices. Design/methodology/approach:…
Descriptors: Artificial Intelligence, Individualized Instruction, Technology Uses in Education, Bibliometrics
Zhu, Meina; Sari, Annisa R.; Lee, Mimi Miyoung – Education and Information Technologies, 2022
Learning analytics (LA) is a growing research trend and has recently been used in research and practices in massive open online courses (MOOCs). This systematic review of 166 articles from 2011-2021 synthesizes the trends and critical issues of LA in MOOCs. The eight-step process proposed by Okoli and Schabram was used to guide this systematic…
Descriptors: Educational Trends, Learning Analytics, MOOCs, Publications
Lei Tao; Hao Deng; Yanjie Song – Educational Technology & Society, 2025
Information and communication technologies have transformed education, driving it towards intelligent teaching and learning. With the rise of generative artificial intelligence (AI), represented by tools such as ChatGPT, there is also a growing body of literature on generative AI in education. In this study, we searched the Scopus, ERIC, and Web…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Teaching Methods
Jenay Robert – EDUCAUSE, 2024
Increasingly, data collection and analysis are core functions of higher education institutions. However, an EDUCAUSE QuickPoll revealed that just one in four (25%) of respondents believed the structure of data functions at their institution was ideal for their analytics needs, and only 16% of respondents indicated that their institutional data…
Descriptors: Higher Education, Learning Analytics, Data Collection, Privacy
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