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Ran Bao; Jianyong Chen – Technology, Knowledge and Learning, 2025
Multimodal learning analysis emphasizes using diverse data from various sources and forms for precise examination of learning patterns. Despite recent rapid advancements in this field, conventional learning analysis remains predominantly cross-sectional and group-focused, which is insufficient for understanding continuous and personalized learning…
Descriptors: Learning Analytics, Data Use, Evaluation Methods, Learning Processes
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
Caspari-Sadeghi, Sima – Cogent Education, 2023
Data-driven decision-making and data-intensive research are becoming prevalent in many sectors of modern society, i.e. healthcare, politics, business, and entertainment. During the COVID-19 pandemic, huge amounts of educational data and new types of evidence were generated through various online platforms, digital tools, and communication…
Descriptors: Learning Analytics, Data Analysis, Higher Education, Feedback (Response)
Laurie Mazelin – ProQuest LLC, 2024
While utilizing assessment data has been a pervasive practice in educational reform for decades, and teachers are expected to use assessment data to improve instruction, little is known about how the practice of requiring teachers to review test data affects their perception of effectiveness in addressing the learning gaps of student groups. This…
Descriptors: Teacher Attitudes, Educational Practices, Data Use, Evaluation Methods
Tamra Ross; Rachel Sondergaard; Cindy Ives; Andrew Han; Sabine Graf – Technology, Knowledge and Learning, 2025
To meet student demand for responsive, adaptable, and up-to-date online courses, educators and learning designers need tools to analyse student interactions with their peers, educators and learning resources. Learning Management Systems (LMSs) store large volumes of detailed user data, but offer only limited, pre-set reports and visualizations to…
Descriptors: Access to Information, Learning Analytics, Instructional Design, Evaluation Methods
Raffaghelli, Juliana E., Ed.; Sangrà, Albert, Ed. – Higher Education Dynamics, 2023
This collection focuses on the role of higher education institutions concerning datafication as a complex phenomenon. It explores how the universities can develop data literac(ies) shaping tomorrow skills and "formae mentis" to face the most deleterious effects of datafication, but also to engage in creative and constructive ways with…
Descriptors: Data Use, Higher Education, Educational Change, Data Analysis
Moonen-van Loon, Joyce M. W.; Govaerts, Marjan; Donkers, Jeroen; van Rosmalen, Peter – IEEE Transactions on Learning Technologies, 2022
Self-directed learning is generally considered a key competence in higher education. To enable self-directed learning, assessment practices increasingly embrace assessment for learning rather than the assessment of learning, shifting the focus from grades and scores to provision of rich, narrative, and personalized feedback. Students are expected…
Descriptors: Competency Based Education, Portfolios (Background Materials), Feedback (Response), Independent Study
Natercia Valle; Pavlo Antonenko; Kara Dawson; Anne Corinne Huggins-Manley – British Journal of Educational Technology, 2021
The advances in technology to capture and process unprecedented amounts of educational data has boosted the interest in Learning Analytics Dashboard (LAD) applications as a way to provide meaningful visual information to administrators, parents, teachers and learners. Despite the frequent argument that LADs are useful to support target users and…
Descriptors: Learning Analytics, Access to Information, Efficiency, Data Use

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