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Yasuhiro Yamamoto; Yasuo Miyazaki – Journal of Experimental Education, 2025
Bayesian methods have been said to solve small sample problems in frequentist methods by reflecting prior knowledge in the prior distribution. However, there are dangers in strongly reflecting prior knowledge or situations where much prior knowledge cannot be used. In order to address the issue, in this article, we considered to apply two Bayesian…
Descriptors: Sample Size, Hierarchical Linear Modeling, Bayesian Statistics, Prior Learning
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Kubik, Veit; Koslowski, Kenneth; Schubert, Torsten; Aslan, Alp – Metacognition and Learning, 2022
Interim tests of previously studied information can potentiate subsequent learning of new information, in part, because retrieval-based processes help to reduce proactive interference from previously learned information. We hypothesized that an effect similar to this forward testing effect would also occur when making judgments of (prior) learning…
Descriptors: Metacognition, Decision Making, Interference (Learning), Learning Processes
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Laurie-Anne Sapey-Triomphe; Gaëtan Sanchez; Marie-Anne Hénaff; Sandrine Sonié; Christina Schmitz; Jérémie Mattout – npj Science of Learning, 2023
Predictive coding theories suggest that core symptoms in autism spectrum disorders (ASD) may stem from atypical mechanisms of perceptual inference (i.e., inferring the hidden causes of sensations). Specifically, there would be an imbalance in the precision or weight ascribed to sensory inputs relative to prior expectations. Using three tactile…
Descriptors: Autism Spectrum Disorders, Tactual Perception, Sensory Integration, Comparative Analysis
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Liu, Jinghua; Becker, Kirk – Journal of Educational Measurement, 2022
For any testing programs that administer multiple forms across multiple years, maintaining score comparability via equating is essential. With continuous testing and high-stakes results, especially with less secure online administrations, testing programs must consider the potential for cheating on their exams. This study used empirical and…
Descriptors: Cheating, Item Response Theory, Scores, High Stakes Tests
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Sáiz-Manzanares, María Consuelo; Marticorena-Sánchez, Raúl; Martín-Antón, Luis-J.; Almeida, Leandro; Carbonero-Martín, Miguel-Ángel – Comunicar: Media Education Research Journal, 2023
Advances in neuro-technology provide new insights into how individual students learn in educational contexts. However, applying it poses challenges for teachers in natural settings. This paper presents an example of the use and applicability of eye-tracking technology in Higher Education. We worked with a sample of 20 students from three…
Descriptors: Higher Education, Eye Movements, Comparative Analysis, Prior Learning
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Jingjing Ma; Qingtang Liu; Shufan Yu; Jindian Liu; Xiaojuan Li; Chunhua Wang – British Journal of Educational Technology, 2025
This research employs the fuzzy-set qualitative comparative analysis (fsQCA) method to investigate the configurations of multiple factors influencing scientific concept learning, including augmented reality (AR) technology, the concept map (CM) strategy and individual differences (eg, prior knowledge, experience and attitudes). A quasi-experiment…
Descriptors: Science Education, Scientific Concepts, Comparative Analysis, Qualitative Research
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Jennifer Hill; George Perrett; Stacey A. Hancock; Le Win; Yoav Bergner – Grantee Submission, 2024
Most current statistics courses include some instruction relevant to causal inference. Whether this instruction is incorporated as material on randomized experiments or as an interpretation of associations measured by correlation or regression coefficients, the way in which this material is presented may have important implications for…
Descriptors: Statistics Education, Teaching Methods, Attribution Theory, Undergraduate Students
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Charity N. Watson; Pablo Duran; Adam Castillo; Edgar Fuller; Geoff Potvin; Laird Kramer – International Journal of Mathematical Education in Science and Technology, 2025
College calculus plays an important role in STEM students' degree and career aspirations. One of the key factors considered in assessing a student's ability to be successful in calculus is their proficiency in topics from prior mathematics courses such as algebra and precalculus. This study set out to examine the impact of students' precalculus…
Descriptors: Active Learning, Calculus, Mathematics Instruction, Teaching Methods
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Tobin, R. G.; Lacy, Sara J.; Crissman, Sally – Physical Review Physics Education Research, 2023
Kinetic energy is usually the entry point for the study of energy in physics and is often perceived as unproblematic. We present evidence, however, that some learners who seem to have accepted the concept, from elementary school students to college physics majors and in-service teachers, nevertheless do not consistently attribute kinetic energy to…
Descriptors: Physics, Science Instruction, Scientific Concepts, Concept Formation
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Naparat Nilada; Wisarut Payougkiattikun; Tawan Thongsuk – International Journal on Social and Education Sciences, 2024
This research aims to investigate the scientific creativity of 9th grade students following the implementation of a project-based learning (PjBL) approach. The study involved a sample of 21 students from a high school in a Roi Et province during the first semester of the academic year 2023. Participants were randomly selected using classrooms as…
Descriptors: Creativity, Student Projects, Active Learning, Student Attitudes
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Janet E. Rosenbaum; Lisa C. Dierker – Journal of Statistics and Data Science Education, 2024
Self-efficacy is associated with a range of educational outcomes, including science and math degree attainment. Project-based statistics courses have the potential to increase students' math self-efficacy because projects may represent a mastery experience, but students enter courses with preexisting math self-efficacy. This study explored…
Descriptors: Self Efficacy, Statistics Education, Introductory Courses, Self Esteem
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Alsina, Ángel; Salgado, María – International Journal of Science and Mathematics Education, 2022
The aim of this study is to provide data to better understand the processes of early mathematical modelling. According to this, an early mathematical modelling activity carried out by 21 Spanish schoolchildren aged 5-6 years is analysed, using the validated tool "Rubric for the Evaluation of Mathematical Modelling Processes" (REMMP). The…
Descriptors: Mathematical Models, Mathematics Instruction, Scoring Rubrics, Prior Learning
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Davis, Kirsten A.; Jesiek, Brent K.; Knight, David B. – Journal of Engineering Education, 2023
Background: Engineers operate in an increasingly global environment, making it important that engineering students develop global engineering competency to prepare them for success in the workplace. To understand this learning, we need assessment approaches that go beyond traditional self-report surveys. A previous study (Jesiek et al.,…
Descriptors: Vignettes, Engineering Education, Study Abroad, Foreign Countries
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Jones, Elizabeth V.; Evans, Michael; Shepler, Carrie – Journal of College Science Teaching, 2023
In response to remote learning needs during the COVID-19 pandemic, introductory lecture and laboratory courses typically delivered fully in person were offered in a completely virtual format for the first time. Introductory laboratory courses are pivotal foundations for future discipline-specific learning and serve as prerequisites for a myriad of…
Descriptors: Prerequisites, Electronic Learning, Science Experiments, COVID-19
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Emily M. Stump; Mark Hughes; Gina Passante; N. G. Holmes – Physical Review Physics Education Research, 2023
[This paper is part of the Focused Collection on Instructional labs: Improving traditions and new directions.] Uncertainty is an important concept in physics laboratory instruction. However, little work has examined how students reason about uncertainty beyond the introductory (intro) level. In this work we aimed to compare intro and beyond-intro…
Descriptors: Student Attitudes, Scientific Attitudes, Physics, Introductory Courses
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