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Nicole M. Hutchins; Gautam Biswas – British Journal of Educational Technology, 2024
This paper provides an experience report on a co-design approach with teachers to co-create learning analytics-based technology to support problem-based learning in middle school science classrooms. We have mapped out a workflow for such applications and developed design narratives to investigate the implementation, modifications and temporal…
Descriptors: Problem Based Learning, Teaching Methods, Science Instruction, Learning Analytics
Dimitrios Tzimas; Stavros Demetriadis – TechTrends: Linking Research and Practice to Improve Learning, 2025
Learning analytics (LA) is an educational innovation that enhances teaching practices and facilitates student learning. However, the degree of LA adoption across schools remains limited, and teachers who adopt LA do not engage with it consistently. Based on the unified theory of acceptance and use of technology (UTAUT) as a framework, we conducted…
Descriptors: Learning Analytics, Kindergarten, Elementary Secondary Education, Teacher Attitudes
Qu, Jia – Education and Information Technologies, 2021
Aiming at the challenges of mobile learning in the current big data environment and the current research status of teaching intelligent services(TIS), the article first explores the construction of mobile learning in the teaching intelligent service system(TISS) of colleges and universi-ties(C&U) from a big data driven perspective; secondly,…
Descriptors: Educational Research, Electronic Learning, Information Systems, Higher Education
Huang, Lingyun; Doleck, Tenzin; Chen, Boyin; Huang, Xiaoshan; Tan, Chengyi; Lajoie, Susanne P.; Wang, Minhong – Education and Information Technologies, 2023
Teachers' self-regulated learning (SRL) plays a crucial role in developing technological pedagogical content knowledge (TPACK), a complex professional skill. It is crucial to identify teachers' SRL activities that may lead to favorable TPACK. Previous studies have focused on the analysis of individual data sources from self-reported surveys or log…
Descriptors: Learning Analytics, Technological Literacy, Pedagogical Content Knowledge, Independent Study
Rania Mohamed Al Morsy; Mahmoud Kamal Abouraia; Hany Mohamed Galal; Nehad Hussein Elgamal – International Society for Technology, Education, and Science, 2024
To broaden the scope of innovation that leverages contemporary technologies, education sectors worldwide are depending more and more on creative technological tools. On the other hand, not much research has been done on how these tools are adopted and used, or how they can improve decision-making in non-Western contexts. As a result, the goal of…
Descriptors: Learning Analytics, Decision Making, Foreign Countries, Private Colleges
Linxuan Zhao; Dragan Gaševic; Zachari Swiecki; Yuheng Li; Jionghao Lin; Lele Sha; Lixiang Yan; Riordan Alfredo; Xinyu Li; Roberto Martinez-Maldonado – British Journal of Educational Technology, 2024
Effective collaboration and teamwork skills are critical in high-risk sectors, as deficiencies in these areas can result in injuries and risk of death. To foster the growth of these vital skills, immersive learning spaces have been created to simulate real-world scenarios, enabling students to safely improve their teamwork abilities. In such…
Descriptors: Automation, Transcripts (Written Records), Coding, Teamwork
Shahira El Alfy; Mounir Kehal – International Journal of Information and Learning Technology, 2024
Purpose: The research aims at examining educators' perceptions, attitudes and behavioral intentions toward learning analytics (LA) and the role of self-instruction within the proposed model for LA adoption. Design/methodology/approach: A quantitative approach is utilized in which a questionnaire is designed as a tool for data collection and…
Descriptors: Teacher Attitudes, Teacher Behavior, Intention, Learning Analytics
Cleon Xavier; Luiz Rodrigues; Newarney Costa; Rodrigues Neto; Gabriel Alves; Taciana Pontual Falcao; Dragan Gasevic; Rafael Ferreira Mello – IEEE Transactions on Learning Technologies, 2025
Providing timely and personalized feedback on open-ended student responses is a challenge in education due to the increased workloads and time constraints educators face. While existing research has explored how learning analytic approaches can support feedback provision, previous studies have not sufficiently investigated educators' perspectives…
Descriptors: Teacher Empowerment, Learning Analytics, Artificial Intelligence, Computer Software
Kaliisa, Rogers; Kluge, Anders; Mørch, Anders I. – Scandinavian Journal of Educational Research, 2022
Learning analytics (LA) is a fast-growing field but adoption by teachers remain limited. This paper presents the results of a review of 18 LA frameworks and discusses how they have tried to address prominent challenges in LA adoption. The results show that researchers have made significant advances in developing appropriate frameworks to…
Descriptors: Learning Analytics, Models, Adoption (Ideas), Learning Theories
Weijuan Li – European Journal of Education, 2025
In recent years, the integration of big data and learning analytics has emerged as a significant trend across educational systems worldwide. The implementation of such technologies within universities -- particularly in China -- holds considerable potential for transforming teaching and learning practices. By enabling personalised, data-driven…
Descriptors: Universities, Learning Analytics, Educational Practices, Foreign Countries
Yunus Kökver; Hüseyin Miraç Pektas; Harun Çelik – Education and Information Technologies, 2025
This study aims to determine the misconceptions of teacher candidates about the greenhouse effect concept by using Artificial Intelligence (AI) algorithm instead of human experts. The Knowledge Discovery from Data (KDD) process model was preferred in the study where the Analyse, Design, Develop, Implement, Evaluate (ADDIE) instructional design…
Descriptors: Artificial Intelligence, Misconceptions, Preservice Teachers, Natural Language Processing
Li, Yanyan; Zhang, Muhua; Su, You; Bao, Haogang; Xing, Shuang – Educational Technology Research and Development, 2022
Learning analytics dashboards have been developed to facilitate teacher guidance in computer-supported collaborative learning (CSCL). As yet, little is known about how teachers interpret dashboard information to facilitate guidance in their teaching practice. This study examined teachers' behavior patterns in interpreting information from…
Descriptors: Teacher Behavior, Teacher Attitudes, Educational Technology, Guidance
Sun, Jeffrey C. – British Journal of Educational Technology, 2023
Technology integration and learning analytics offer insights to improve educational experiences and outcomes. In advancing these efforts, laws and policies govern these environments placing protections, standards, and developmental opportunities for higher education, students, faculty, and even the nation-state. Nonetheless, evidence of…
Descriptors: Technology Integration, Privacy, Student Rights, Laws
Kong, Siu-Cheung – Research and Practice in Technology Enhanced Learning, 2021
This study aimed at proposing an e-Learning framework in school education. The proposed framework consisted of technology and pedagogy dimensions. The method of computer-aided analysis of learners' reflection text was used to evaluate the pedagogical delivery of the proposed framework. A study involving 33 in-service teachers in a teacher…
Descriptors: Electronic Learning, Computer Assisted Instruction, Learning Analytics, Professional Development
Jung, Eulho; Zheng, Hua; Webster, Nick; Hamad, Adonis; Demir, Fatih; Kim, Dongho – Contemporary Educational Technology, 2021
Higher education institutions partner with technology providers to stay competitive in the fast-evolving innovations of technological advancements. The purpose of this study is to reflect on and investigate technology integration cases at a mid-sized public university in the U.S. Taking a qualitative research approach, this study utilizes critical…
Descriptors: Universities, Technology Integration, Educational Technology, Vendors