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Bennett L. Schwartz – Metacognition and Learning, 2024
Retrospective confidence refers to the phenomenological experience of the level of certainty that retrieved information is, in fact, correct. Retrospective confidence judgments are examined across a range of sub-disciplines in psychology from perception to memory research, and in education and legal applications. This paper focuses on…
Descriptors: Memory, Recall (Psychology), Cues, Learning Processes
Yingbo Ma – ProQuest LLC, 2023
Collaborative learning provides learners with significant opportunities to collaborate on solving problems and creating better products. There has been a growing utilization of adaptive and intelligent systems to support productive learning while promoting collaborative practices. One of the core capabilities of these adaptive and intelligent…
Descriptors: Cooperative Learning, Models, Interaction, Behavior
Ackerman, Rakefet – Educational Psychology Review, 2023
Solving problems in educational settings, as in daily-life scenarios, involves constantly assessing one's own confidence in each considered solution. Metacognitive research has exposed cues that may bias confidence judgments (e.g., familiarity with question terms). Typically, metacognitive research methodologies require examining misleading cues…
Descriptors: Cues, Instructional Design, Bias, Problem Solving
Zhang, Mo; Guo, Hongwen; Liu, Xiang – International Educational Data Mining Society, 2021
We present an empirical study on the use of keystroke analytics to capture and understand how writers manage their time and make inferences on how they allocate their cognitive resources during essay writing. The results suggest three distinct longitudinal patterns of writing process that describe how writers approach an essay task in a writing…
Descriptors: Keyboarding (Data Entry), Learning Analytics, Data Collection, Cognitive Processes
Yuan, Shuaihang – ProQuest LLC, 2023
Recently, with the advancement in 2D imaging techniques and 3D visual sensors such as LiDAR, RGB-D cameras, etc. The use of 2D and 3D data is ubiquitous in various fields like autonomous driving, AR, and VR. Therefore, we are faced with an ever-increasing demand for approaches toward the automatic processing and analysis of data from multiple…
Descriptors: Computer Simulation, Geometry, Artificial Intelligence, Data Analysis
Marwan, Samiha; Price, Thomas W. – IEEE Transactions on Learning Technologies, 2023
Novice programmers often struggle on assignments, and timely help, such as a hint on what to do next, can help students continue to progress and learn, rather than giving up. However, in large programming classrooms, it is hard for instructors to provide such real-time support for every student. Researchers have, therefore, put tremendous effort…
Descriptors: Data Use, Cues, Programming, Computer Science Education
Xavier Ochoa; Xiaomeng Huang; Yuli Shao – Journal of Learning Analytics, 2025
Generative AI (GenAI) has the potential to revolutionize the analysis of educational data, significantly impacting learning analytics (LA). This study explores the capability of non-experts, including administrators, instructors, and students, to effectively use GenAI for descriptive LA tasks without requiring specialized knowledge in data…
Descriptors: Learning Analytics, Artificial Intelligence, Computer Software, Scores
Kathleen Gael Hall – ProQuest LLC, 2021
This dissertation explores how items encountered in the comprehension of language are stored in memory and subsequently accessed. Processing and comprehending language frequently requires the retrieval of items in memory so that a current linguistic element can be assigned an interpretation. For example, in a sentence such as "Miles loved his…
Descriptors: Linguistics, Recall (Psychology), Cognitive Processes, Language Processing
Construction and Analysis of a Decision Tree-Based Predictive Model for Learning Intervention Advice
Chenglong Wang – Turkish Online Journal of Educational Technology - TOJET, 2024
The rapid development of education informatization has accumulated a large amount of data for learning analytics, and adopting educational data mining to find new patterns of data, develop new algorithms and models, and apply known predictive models to the teaching system to improve learning is the challenge and vision of the education field in…
Descriptors: Decision Making, Prediction, Models, Intervention
Yuchen Liu; Stanislav Pozdniakov; Roberto Martinez-Maldonado – Australasian Journal of Educational Technology, 2024
Learning analytics (LA) dashboards are becoming increasingly available in various learning settings. However, teachers may face challenges in understanding and interpreting the data visualisations presented on those dashboards. In response to this, some LA researchers are incorporating visual cueing techniques, like data storytelling (DS), into LA…
Descriptors: Visualization, Story Telling, Data Use, Cognitive Processes
Sebastian Becker; Lynn Knippertz; Stefan Ruzika; Jochen Kuhn – Physical Review Physics Education Research, 2023
Linear functions are an essential part of school and university education. Nevertheless, this topic is challenging for many students--especially in STEM topics. In this article, we contribute to the understanding of learning difficulties in the context of mathematical and physical problems. Here, we present the results of an eye-tracking study on…
Descriptors: Persistence, Context Effect, Learning Strategies, Eye Movements
Krefeld-Schwalb, Antonia; Donkin, Chris; Newell, Ben R.; Scheibehenne, Benjamin – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
Past research indicates that individuals respond adaptively to contextual factors in multiattribute choice tasks. Yet it remains unclear how this adaptation is cognitively governed. In this article, empirically testable implementations of two prominent competing theoretical frameworks are developed and compared across two multiattribute choice…
Descriptors: Models, Cues, Probability, Experiments
Yan, Xun; Staples, Shelley – Language Testing, 2020
The argument-based approach to validity (Kane, 2013) focuses on two steps: (1) making claims about the proposed interpretation and use of test scores as a coherent, interpretive argument; and (2) evaluating those claims based on theoretical and empirical evidence related to test performances and scores. This paper discusses the role of…
Descriptors: Writing Tests, Language Tests, Language Proficiency, Test Validity
Daibao Guo; Erin E. Rich; Julianne M. Coleman – Journal of Visual Literacy, 2024
While visual literacy pedagogy in teacher preparation programs has been a recognized body of knowledge the past few decades, limited research centers upon secondary teachers who are responsible for integrating visual literacy into content instruction. This study explored how 32 secondary English language arts and social studies pre-service…
Descriptors: Secondary School Teachers, Preservice Teachers, Teacher Education Programs, Visual Literacy
Gist, Corinne – TEACHING Exceptional Children, 2019
Deficits in executive functions can lead to many difficulties for students with disabilities. Research has shown a strong correlation between deficits in executive functions and deficits in academic performance and social-emotional functioning. With state testing requirements, response to intervention (RTI), and positive behavior interventions and…
Descriptors: Executive Function, Students with Disabilities, Student Behavior, Behavior Modification