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Showing all 9 results Save | Export
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Yafit Gabay; Lana Jacob; Atil Mansour; Uri Hertz – npj Science of Learning, 2025
The current study examined how individuals with neurodevelopmental disorders navigate the complexities of learning within multidimensional environments marked by uncertain dimension values and without explicit guidance. Participants engaged in a game-like complex reinforcement learning task in which the stimuli dimension determining reward…
Descriptors: Dyslexia, Attention Deficit Hyperactivity Disorder, Difficulty Level, Reinforcement
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Aiman Mohammad Freihat; Omar Saleh Bani Yassin – Educational Process: International Journal, 2025
Background/purpose: This study aimed to reveal the accuracy of estimation of multiple-choice test items parameters following the models of the item-response theory in measurement. Materials/methods: The researchers depended on the measurement accuracy indicators, which express the absolute difference between the estimated and actual values of the…
Descriptors: Accuracy, Computation, Multiple Choice Tests, Test Items
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Gerit Wagner; Laureen Thurner – Journal of Information Systems Education, 2025
Git, as the leading version-control system, is frequently employed by software developers, digital product managers, and knowledge workers. Information systems (IS) students aspiring to fill software engineering, management, or research positions would therefore benefit from familiarity with Git. However, teaching Git effectively can be…
Descriptors: Computer Science Education, Information Systems, Teaching Methods, Computer Software
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Xiaodong Wei; Lei Wang; Lap-Kei Lee; Ruixue Liu – Journal of Educational Computing Research, 2025
Notwithstanding the growing advantages of incorporating Augmented Reality (AR) in science education, the pedagogical use of AR combined with Pedagogical Agents (PAs) remains underexplored. Additionally, few studies have examined the integration of Generative Artificial Intelligence (GAI) into science education to create GAI-enhanced PAs (GPAs)…
Descriptors: Artificial Intelligence, Technology Uses in Education, Models, Science Education
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Karina Nuñez-Gutierrez; Camilo Andrés Rodríguez-Nieto; Lisseth Correa-Sandoval; Vicenç Font Moll – International Electronic Journal of Mathematics Education, 2025
The variational thinking of high school students based on mathematical connections was analyzed through a laboratory on linear functions. This qualitative research based on design was developed in three phases: diagnostic test, implementation of the mathematics laboratory and final test, with students from a public institution in Barranquilla,…
Descriptors: High School Students, Thinking Skills, Mathematics Instruction, Task Analysis
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Jitu Halomoan Lumbantoruan; Tatang Herman – Journal of Education and Learning (EduLearn), 2025
The teacher's job is to prepare learning plans, create modules, implement, assess, and evaluate. The fact that teachers don't have modules yet. As a result, the mean logarithmic learning outcome of 74.80 is below the standard of 75. It is urgent to research because there is a gap between theory, expectations, and reality. The aim is to produce a…
Descriptors: Educational Improvement, Outcomes of Education, Cooperative Learning, Needs Assessment
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Haoxin Xu; Tianrun Deng; Xianlong Xu; Xiaoqing Gu; Lingyun Huang; Haoran Xie; Minhong Wang – Education and Information Technologies, 2025
In the 21st century, the urgent educational demand for cultivating complex skills in vocational training and learning is met with the effectiveness of the four-component instructional design model. Despite its success, research has identified a notable gap in the address of formative assessment, particularly within computer-supported frameworks.…
Descriptors: Models, Instructional Design, Computer Assisted Testing, Formative Evaluation
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Janet Spitzig; Blake J. Renner – Journal of College Student Retention: Research, Theory & Practice, 2025
This study aimed to examine the relationship between student engagement and student retention of adult learners at community colleges. The relationship between student retention and the five Community College Survey of Student Engagement (CCSSE) student engagement benchmarks (active and collaborative learning, student effort, academic challenge,…
Descriptors: Academic Persistence, School Holding Power, Community Colleges, Community College Students
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Joshua B. Gilbert; Luke W. Miratrix; Mridul Joshi; Benjamin W. Domingue – Journal of Educational and Behavioral Statistics, 2025
Analyzing heterogeneous treatment effects (HTEs) plays a crucial role in understanding the impacts of educational interventions. A standard practice for HTE analysis is to examine interactions between treatment status and preintervention participant characteristics, such as pretest scores, to identify how different groups respond to treatment.…
Descriptors: Causal Models, Item Response Theory, Statistical Inference, Psychometrics