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Zhao, Fuzheng; Liu, Gi-Zen; Zhou, Juan; Yin, Chengjiu – Educational Technology & Society, 2023
Big data in education promotes access to the analysis of learning behavior, yielding many valuable analysis results. However, with obscure and insufficient guidelines commonly followed when applying the analysis results, it is difficult to translate information knowledge into actionable strategies for educational practices. This study aimed to…
Descriptors: Learning Analytics, Man Machine Systems, Artificial Intelligence, Learning Strategies
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Marcel R. Haas; Colin Caprani; Benji T. van Beurden – Journal of Learning Analytics, 2023
We present an innovative modelling technique that simultaneously constrains student performance, course difficulty, and the sensitivity with which a course can differentiate between students by means of grades. Grade lists are the only necessary ingredient. Networks of courses will be constructed where the edges are populations of students that…
Descriptors: Bayesian Statistics, Computer Software, Learning Analytics, Grades (Scholastic)
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Qian Liu; Tehmina Gladman; Julia Muir; Chen Wang; Rebecca Grainger – SAGE Open, 2023
One apparent challenge associated with learning analytics (LA) has been to promote adoption by university educators. Researchers suggest that a visualization dashboard could serve to help educators use LA to improve learning design (LD) practice. We therefore used an educational design approach to develop a pedagogically useful and easy-to-use LA…
Descriptors: Learning Management Systems, Learning Analytics, Visual Aids, Instructional Design
Michelle Wong – ProQuest LLC, 2023
Teacher data use is often centered around standardized testing. Such data use that is commonly centered on standardized tests and used during professional development does not necessarily transform teacher practice toward equity and fails to change teacher conceptualizations of students while also perpetuating inequitable practices. Conversely,…
Descriptors: Data Use, Standardized Tests, Faculty Development, Outcomes of Education
Oxman, Steven – ProQuest LLC, 2023
The vast amount of data collected during online learning offers opportunities to advance newer interventions that might aid learning. One such intervention has been learning analytics dashboards, visualizations designed to translate learning-related data into usable information. However, many student-facing dashboards compare learners' performance…
Descriptors: Courseware, Computer Software, Learning Analytics, Mastery Learning
Wood, Emily – ProQuest LLC, 2023
This study examined higher education instructors' lived experiences using learning analytics data to make sense of and improve their online course design. Mishra and Koehler's (2006) Technological, Pedagogical, and Content Knowledge (TPACK) served as the theoretical framework for this study, providing a lens for understanding how faculty apply…
Descriptors: Teaching Experience, Learning Analytics, Educational Improvement, Online Courses
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Shabnam Ara, S. J.; Tanuja, R.; Manjula, S. H.; Venugopal, K. R. – Journal of Educational Technology Systems, 2023
Learning analytics (LA) is considered a promising field of study as it's helping to improve learning and the context in which it occurs. A learner's performance can be defined as how well students are learning in terms of knowledge and skills development and can be analyzed based on students' outcomes and engagement in the course. We have…
Descriptors: Learning Analytics, Learning Management Systems, Academic Achievement, Prediction
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Kaveri, Anceli; Silvola, Anni; Muukkonen, Hanni – Journal of Learning Analytics, 2023
Learning analytics dashboard (LAD) development has been criticized for being too data-driven and for developers lacking an understanding of the nontechnical aspects of learning analytics (LA). The ability of developers to address their understanding of learners as well as systematic efforts to involve students in the development process are…
Descriptors: Personal Autonomy, Student Empowerment, Learning Analytics, Educational Technology
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Chen, Xieling; Zou, Di; Xie, Haoran; Wang, Fu Lee – IEEE Transactions on Learning Technologies, 2023
Research on Educational Metaverse (Edu-Metaverse) has developed into an active research field. Based on 310 academic papers published from 2004 to 2022, this study identifies contributors, scientific cooperations, and research themes using bibliometrics, social network analysis, topic modeling, and keyword analysis. Results suggest that…
Descriptors: Computer Simulation, Technology Uses in Education, Bibliometrics, Social Networks
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Muslim, Arham; Chatti, Mohamed Amine; Schroeder, Ulrik – Technology, Knowledge and Learning, 2022
The demand for Open learning analytics (OLA) has grown in recent years due to the increasing interest in the usage of self-organized, networked, and lifelong learning environments. However, platforms that can deliver an effective and efficient OLA are still lacking. Most OLA platforms currently available do not continuously involve end-users in…
Descriptors: Learning Analytics, Lifelong Learning, Delivery Systems, Ecology
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Herrera, Estibaliz; Alcalá, José A.; Tazumi, Toru; Buckley, Matthew G.; Prados, José; Urcelay, Gonzalo P. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Over the last 50 years, cue competition phenomena have shaped theoretical developments in animal and human learning. However, recent failures to observe competition effects in standard conditioning procedures, as well as the lengthy and ongoing debate surrounding cue competition in the spatial learning literature, have cast doubts on the…
Descriptors: Spatial Ability, Time, Cues, Learning Analytics
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Selwyn, Neil – Research Papers in Education, 2022
Schools now face considerable pressure to be using educational data to inform decision-making and become more efficient. Key to this rise of the 'data-driven' school is the increased use of digital technologies -- with computer-based data processing fuelling hopes for the technology-driven 'smart schooling' and a general 'datafication' of…
Descriptors: Data Use, Decision Making, Computer Uses in Education, Foreign Countries
Van Campenhout, Rachel – ProQuest LLC, 2022
Online courseware is an emerging educational technology that has the potential to reach students at scale. Designed with cognitive and learning science principles, courseware utilizes effective methods to maximize learning outcomes for students. Mindset (implicit theories of ability) and self-efficacy are two widely researched self-belief topics…
Descriptors: Student Attitudes, Beliefs, Online Courses, Courseware
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Banihashem, Seyyed Kazem; Farrokhnia, Mohammadreza; Badali, Mehdi; Noroozi, Omid – Innovations in Education and Teaching International, 2022
So far, the synergistic relationship between learning design and learning analytics and its impact on learners' educational practices have been investigated. However, little work has been done to show how integrated learning design based on constructivism learning theory and learning analytics can affect learners' engagement and self-regulation.…
Descriptors: Foreign Countries, Graduate Students, Constructivism (Learning), Learning Analytics
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Jones, Kyle M. L.; VanScoy, Amy; Bright, Kawanna; Harding, Alison; Vedak, Sanika – Journal of Computing in Higher Education, 2022
Learning analytics tools are becoming commonplace in educational technologies, but extant student privacy issues remain largely unresolved. It is unknown whether faculty care about student privacy and see privacy as valuable for learning. The research herein addresses findings from a survey of over 500 full-time higher education instructors. In…
Descriptors: College Faculty, Teacher Attitudes, College Students, Privacy
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