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Junhua Xiao – Anatomical Sciences Education, 2024
The flipped classroom teaching model has been widely used in anatomy education to embrace a blended learning strategy. However, the impact that a continuous flipped classroom teaching model exerts on student learning of human topographic anatomy remains unclear. To address this question, student learning experience and performance were compared…
Descriptors: Anatomy, Science Instruction, Teaching Methods, Likert Scales
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
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
Tulsi A. Radhoe; Joost A. Agelink van Rentergem; Carolien Torenvliet; Annabeth P. Groenman; Wikke J. van der Putten; Hilde M. Geurts – Journal of Autism and Developmental Disorders, 2024
Autism is heterogeneous, which complicates providing tailored support and future prospects. We aim to identify subgroups in autistic adults with average to high intelligence, to clarify if certain subgroups might need support. We included 14 questionnaire variables related to aging and/or autism (e.g., demographic, psychological, and lifestyle).…
Descriptors: Adults, Autism Spectrum Disorders, Population Groups, Intelligence
Plamen V. Mirazchiyski; Vadim Gershteyn – Large-scale Assessments in Education, 2024
The Progress in International Reading Literacy Study (PIRLS) was conducted in paper and online reading modes in 2016 using the same samples of students in a number of countries. Differences in reading literacy scores were found in several European countries. In some countries, the differences favored the electronic reading mode. Yet in others, the…
Descriptors: Scores, Reading, Printed Materials, Electronic Books
Roger Young; Emily Courtney; Alexander Kah; Mariah Wilkerson; Yi-Hsin Chen – Teaching of Psychology, 2025
Background: Multiple-choice item (MCI) assessments are burdensome for instructors to develop. Artificial intelligence (AI, e.g., ChatGPT) can streamline the process without sacrificing quality. The quality of AI-generated MCIs and human experts is comparable. However, whether the quality of AI-generated MCIs is equally good across various domain-…
Descriptors: Item Response Theory, Multiple Choice Tests, Psychology, Textbooks
Dong, Xiaoxiao; Liu, Yan; Lu, Hui Jing – Metacognition and Learning, 2022
The storage of information in external tools (e.g., notebook, cellphone) has become increasingly common. Some researchers have defined this behavior as cognitive offloading, which is a type of learning strategy. Studies have indicated that as age increases, children become increasingly capable of calibrating their learning strategies according to…
Descriptors: Metacognition, Cognitive Ability, Age Differences, Cues
Jesús Pérez; Eladio Dapena; Jose Aguilar – Education and Information Technologies, 2024
In tutoring systems, a pedagogical policy, which decides the next action for the tutor to take, is important because it determines how well students will learn. An effective pedagogical policy must adapt its actions according to the student's features, such as knowledge, error patterns, and emotions. For adapting difficulty, it is common to…
Descriptors: Feedback (Response), Intelligent Tutoring Systems, Reinforcement, Difficulty Level
Shabrina, Preya; Mostafavi, Behrooz; Tithi, Sutapa Dey; Chi, Min; Barnes, Tiffany – International Educational Data Mining Society, 2023
Problem decomposition into sub-problems or subgoals and recomposition of the solutions to the subgoals into one complete solution is a common strategy to reduce difficulties in structured problem solving. In this study, we use a datadriven graph-mining-based method to decompose historical student solutions of logic-proof problems into Chunks. We…
Descriptors: Intelligent Tutoring Systems, Problem Solving, Graphs, Data Analysis
Benton, Tom – Research Matters, 2020
This article reviews the evidence on the extent to which experts' perceptions of item difficulties, captured using comparative judgement, can predict empirical item difficulties. This evidence is drawn from existing published studies on this topic and also from statistical analysis of data held by Cambridge Assessment. Having reviewed the…
Descriptors: Test Items, Difficulty Level, Expertise, Comparative Analysis
Regina Hert; Anja Arnhold; Juhani Järvikivi – Language Acquisition: A Journal of Developmental Linguistics, 2025
Studies on young children's comprehension have shown that children can experience problems interpreting object pronouns, even when reflexive interpretation is already adult-like. Compared to resolving reflexives, linking pronouns to a referent is considered a more "intensive" process, because it also involves non-syntactic factors like…
Descriptors: Child Language, Language Processing, Language Acquisition, Form Classes (Languages)
John Hansen; Amanda Nemeth; John Stewart – Physical Review Physics Education Research, 2024
Curricular analytics (CA) is a quantitative method that analyzes the sequence of courses (curriculum) that students in an undergraduate academic program must complete to fulfill the requirements of the program. The main hypothesis of CA is that the less complex a curriculum is, the more likely it is that students complete the program. This study…
Descriptors: Undergraduate Students, Physics, Science Instruction, Science Curriculum
Matthew W. Lowder; Adrian Zhou; Peter C. Gordon – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
"Hospital" can refer to a physical place or more figuratively to the people associated with it. Such place-for-institution metonyms are common in everyday language, but there remain several open questions in the literature regarding how they are processed. The goal of the current eyetracking experiments was to investigate how metonyms…
Descriptors: Semantics, Eye Movements, Ambiguity (Semantics), Language Processing
Hayat, Bahrul – Cogent Education, 2022
The purpose of this study comprises (1) calibrating the Basic Statistics Test for Indonesian undergraduate psychology students using the Rasch model, (2) testing the impact of adjustment for guessing on item parameters, person parameters, test reliability, and distribution of item difficulty and person ability, and (3) comparing person scores…
Descriptors: Guessing (Tests), Statistics Education, Undergraduate Students, Psychology
Xiuyu Lin; Zehui Zhan; Xuebo Zhang; Jiayi Xiong – IEEE Transactions on Learning Technologies, 2024
The attribution of learning success or failure is crucial for students' learning and motivation. Effective attribution of their learning success or failure in the context of a small private online course (SPOC) could generate students' motivation toward learning success while an incorrect attribution would lead to a sense of helplessness. Based on…
Descriptors: Learning Analytics, Learning Processes, Learning Motivation, Attribution Theory

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