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Emily A. Brown – ProQuest LLC, 2024
Previous research has been limited regarding the measurement of computational thinking, particularly as a learning progression in K-12. This study proposes to apply a multidimensional item response theory (IRT) model to a newly developed measure of computational thinking utilizing both selected response and open-ended polytomous items to establish…
Descriptors: Models, Computation, Thinking Skills, Item Response Theory
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Denis Dumas; James C. Kaufman – Educational Psychology Review, 2024
Who should evaluate the originality and task-appropriateness of a given idea has been a perennial debate among psychologists of creativity. Here, we argue that the most relevant evaluator of a given idea depends crucially on the level of expertise of the person who generated it. To build this argument, we draw on two complimentary theoretical…
Descriptors: Decision Making, Creativity, Task Analysis, Psychologists
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Sonja Kleter; Uwe Matzat; Rianne Conijn – IEEE Transactions on Learning Technologies, 2024
Much of learning analytics research has focused on factors influencing model generalizability of predictive models for academic performance. The degree of model generalizability across courses may depend on aspects, such as the similarity of the course setup, course material, the student cohort, or the teacher. Which of these contextual factors…
Descriptors: Prediction, Models, Academic Achievement, Learning Analytics
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Chia-Yu Hsu; Izumi Horikoshi; Rwitajit Majumdar; Hiroaki Ogata – Educational Technology & Society, 2024
This study focuses on the problem that the process of building learning habits has not been clearly described. Therefore, we aim to extract the stages of learning habits from log data. We propose a data model to extract stages of learning habits based on the transtheoretical model and apply the model to the learning logs of self-directed extensive…
Descriptors: Habit Formation, Behavior Change, Learning Analytics, Data Interpretation
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Herianto; Jaslin Ikhsan; Lusila Andriani Purwastuti – Journal of Educational Research, 2024
Twenty-first-century skills are increasingly recognized as critical skills that today's students must develop to adapt to increasingly rapid world changes. This research aims to test the effectiveness of the STEM-EDELCY learning model to improve students' 21st-century skills. This research involved 285 junior high school students (aged 12-13) from…
Descriptors: 21st Century Skills, Skill Development, STEM Education, Engineering Education
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Vong, Wai Keen; Hendrickson, Andrew T.; Navarro, Danielle J.; Perfors, Amy – Cognitive Science, 2019
The curse of dimensionality, which has been widely studied in statistics and machine learning, occurs when additional features cause the size of the feature space to grow so quickly that learning classification rules becomes increasingly difficult. How do people overcome the curse of dimensionality when acquiring real-world categories that have…
Descriptors: Learning Processes, Classification, Models, Performance
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Hsieh, Ying-Yi; Chen, Chun-Ching; Chen, Wen-Yin – International Journal of Art & Design Education, 2022
The basic design course mainly focuses on training students in their form development ability, including two parts: graphic figure and three-dimensional form. However, in terms of form development, it is not just to create a certain form arbitrarily, but to convey the creator's intention based on this form. For students who are new to the field of…
Descriptors: Higher Education, Design, Teaching Methods, Creativity
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Gong, Hee Jung; Kwon, Jihye; Brock, Megan – Educational Research, 2022
Background: Over recent years in colleges and universities, a peerlearning assistant (PLA) model has been introduced into Science, Technology, Engineering, and Mathematics (STEM) classes. Despite the significance of this alternative pedagogical approach in undergraduate education, studies of PLAs' lived experiences of the approach, and hence a…
Descriptors: Experiential Learning, Peer Teaching, Models, STEM Education
Singelmann, Lauren Nichole – ProQuest LLC, 2022
To meet the national and international call for creative and innovative engineers, many engineering departments and classrooms are striving to create more authentic learning spaces where students are actively engaging with design and innovation activities. For example, one model for teaching innovation is Innovation-Based Learning (IBL) where…
Descriptors: Engineering Education, Design, Educational Innovation, Models
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Hai Li; Wanli Xing; Chenglu Li; Wangda Zhu; Simon Woodhead – Journal of Learning Analytics, 2025
Knowledge tracing (KT) is a method to evaluate a student's knowledge state (KS) based on their historical problem-solving records by predicting the next answer's binary correctness. Although widely applied to closed-ended questions, it lacks a detailed option tracing (OT) method for assessing multiple-choice questions (MCQs). This paper introduces…
Descriptors: Mathematics Tests, Multiple Choice Tests, Computer Assisted Testing, Problem Solving
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Dvir, Michal; Ben-Zvi, Dani – Instructional Science: An International Journal of the Learning Sciences, 2023
Estimating and accounting for statistical uncertainty have become essential in today's information age, and crucial for cultivating a sound decision making citizenry. Engaging with statistical uncertainty early on can support the gradual development of uncertainty-related considerations that are often challenging to foster at any age. Statistical…
Descriptors: Learning Processes, Computation, Numeracy, Attitudes
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Chen, Siyuan; Epps, Julien; Paas, Fred – British Journal of Educational Psychology, 2023
Background: Inconsistent observations of pupillary response and blink change in response to different specific tasks raise questions regarding the relationship between eye measures, task types and working memory (WM) models. On the one hand, studies have provided mixed evidence from eye measures about tasks: pupil size has mostly been reported to…
Descriptors: Eye Movements, Short Term Memory, Task Analysis, Models
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Trott, Sean; Jones, Cameron; Chang, Tyler; Michaelov, James; Bergen, Benjamin – Cognitive Science, 2023
Humans can attribute beliefs to others. However, it is unknown to what extent this ability results from an innate biological endowment or from experience accrued through child development, particularly exposure to language describing others' mental states. We test the viability of the language exposure hypothesis by assessing whether models…
Descriptors: Models, Language Processing, Beliefs, Child Development
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Sriram, K. V.; Singh, Prateek; Kamath, Giridhar B.; Mathew, Asish Oommen – International Journal of Learning and Change, 2023
The purpose of this paper is to identify the critical factors of e-learning and examine the influence of these factors on learning success among undergraduate engineering students in India. Exploratory research is carried out to determine the critical success factors of e-learning. The data from 307 respondents was collected using an online survey…
Descriptors: Electronic Learning, Learning Processes, Higher Education, Undergraduate Students
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Swidan, Osama; Cusi, Annalisa; Robutti, Ornella; Arzarello, Ferdinando – For the Learning of Mathematics, 2023
This paper introduces a model built upon the Method of Varying Inquiry, offering a didactical approach to problem posing and solving activities that stimulates inquiry-based learning in mathematics classrooms. The model combines the inquiry-based framework with the variation theory and with specific didactical and theoretical elements (the…
Descriptors: Teaching Methods, Mathematics Instruction, Inquiry, Active Learning
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