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Jason A. Schoeneberger; Christopher Rhoads – American Journal of Evaluation, 2025
Regression discontinuity (RD) designs are increasingly used for causal evaluations. However, the literature contains little guidance for conducting a moderation analysis within an RDD context. The current article focuses on moderation with a single binary variable. A simulation study compares: (1) different bandwidth selectors and (2) local…
Descriptors: Regression (Statistics), Causal Models, Evaluation Methods, Multivariate Analysis
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Madison Lee Mason; Caleb Vatral; Clayton Cohn; Eduardo Davalos; Mary Ann Jessee; Gautam Biswas; Daniel T. Levin – Cognitive Research: Principles and Implications, 2025
Although the "eye-mind link" hypothesis posits that eye movements provide a direct window into cognitive processing, linking eye movements to specific cognitions in real-world settings remains challenging. This challenge may arise because gaze metrics such as fixation duration, pupil size, and saccade amplitude are often aggregated…
Descriptors: Eye Movements, Nursing Students, Student Experience, Nursing Education
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Miryeong Koo; Jin Eun Yoo – Large-scale Assessments in Education, 2025
Background: Teachers' team innovativeness--the collective capacity of teaching teams to generate, adopt, and implement new ideas and practices--is increasingly recognized for its role in enhancing instructional methods and fostering school innovation. However, empirical research identifying its predictors remains limited, particularly within…
Descriptors: Administrator Surveys, Teacher Surveys, Teamwork, Educational Innovation
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Mingya Huang; David Kaplan – Journal of Educational and Behavioral Statistics, 2025
The issue of model uncertainty has been gaining interest in education and the social sciences community over the years, and the dominant methods for handling model uncertainty are based on Bayesian inference, particularly, Bayesian model averaging. However, Bayesian model averaging assumes that the true data-generating model is within the…
Descriptors: Bayesian Statistics, Hierarchical Linear Modeling, Statistical Inference, Predictor Variables
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Ali Geris; Taibe Kulaksiz – Research in Learning Technology, 2025
This study aims to investigate the factors influencing teachers' intentions to integrate Virtual Reality (VR) technology into their educational practices, utilising the Unified Theory of Acceptance and Use of Technology (UTAUT-2) framework. The research involved adapting and validating the 'Acceptance of Mobile Immersive Virtual Reality in…
Descriptors: Technology Integration, Computer Simulation, Teacher Attitudes, Intention
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Laila Ayaichi; Aziz Amaaz; Abderrahman Mouradi – Journal of Baltic Science Education, 2025
Augmented Reality (AR) is an emerging technology with strong potential to enhance the educational value of physics lab work. However, its integration in higher education remains inconsistent, often hindered by students' limited prior experience and varying levels of acceptance. This study investigates the factors influencing students' intention to…
Descriptors: Computer Simulation, Telecommunications, Handheld Devices, Physics
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Hui Wang; Sophie Thompson-Lee; Robert M. Klassen – British Journal of Educational Psychology, 2025
Background: Preparing preservice teachers for teaching placements and future careers is crucial. However, their motivation often fluctuates as they gain experience and receive feedback from influential sources. While previous studies have examined changes in preservice teachers' motivation over time, there has been little research on how this…
Descriptors: Preservice Teachers, Student Motivation, Simulation, Predictor Variables
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Potsirin Limpinan; Thada Jantakoon; Somsuk Trisupakitti – Higher Education Studies, 2025
This study examines learners' acceptance of an immersive STEAM-based microlearning environment from the perspective of the Technology Acceptance Model (TAM), utilizing Partial Least Squares Structural Equation Modeling (PLS-SEM) as the primary analytical approach. While immersive technologies such as virtual reality (VR) and augmented reality (AR)…
Descriptors: Art Education, STEM Education, Foreign Countries, Undergraduate Students
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Michaela Arztmann; Jessica Lizeth Domínguez Alfaro; Lisette Hornstra; Jacqueline Wong; Johan Jeuring; Liesbeth Kester – British Journal of Educational Technology, 2025
A distinct feature of educational games using augmented reality (AR) is that the game is played through physically interacting with the environment, whereas physical interaction is typically rather limited in other digital games. Understanding and performing the interactive game mechanics can be cognitively demanding. Adding pre-training could…
Descriptors: Computer Simulation, Artificial Intelligence, Training, Cognitive Processes
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Minkai Wang; Jingdong Zhu; Gwo-Jen Hwang; Shao-Chen Chang; Qi-Fan Yang; Di Zhang – Journal of Computer Assisted Learning, 2025
Background: STEM education aims to develop innovation and problem-solving skills through interdisciplinary learning, yet struggles to foster student engagement and interdisciplinary thinking. Whilst alternate reality games (ARGs) can boost motivation via game-based problem-solving, integrating large language models (LLMs) remains underexplored.…
Descriptors: Learner Engagement, STEM Education, Natural Language Processing, Artificial Intelligence