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Gyamfi, Abraham; Acquaye, Rosemary – Acta Educationis Generalis, 2023
Introduction: Item response theory (IRT) has received much attention in validation of assessment instrument because it allows the estimation of students' ability from any set of the items. Item response theory allows the difficulty and discrimination levels of each item on the test to be estimated. In the framework of IRT, item characteristics are…
Descriptors: Item Response Theory, Models, Test Items, Difficulty Level
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Gerrits, Lasse; Pagliarin, Sofia – International Journal of Social Research Methodology, 2021
Qualitative Comparative Analysis (QCA) is said to be a method that can be used to uncover social complexity. However, this complexity is often 'missing in action' in actual empirical applications of the method. We aim to rearticulate the properties of social and causal complexity in their relationship to QCA. We first discuss the reasons why this…
Descriptors: Qualitative Research, Comparative Analysis, Difficulty Level, Realism
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Christof Keebaugh; Emily Marshman; Chandralekha Singh – Physical Review Physics Education Research, 2025
We discuss how research on student difficulties was used as a guide to develop, validate, and evaluate a Quantum Interactive Learning Tutorial (QuILT) to help students learn how to determine the completely symmetric bosonic or completely antisymmetric fermionic wave function and be able to compare and contrast them from the case when the particles…
Descriptors: Physics, Science Instruction, Teaching Methods, Quantum Mechanics
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Camilo Andrés Rodríguez-Nieto; José David Cabarcas-Jiménez; Adriana Lucía Sarmiento-Reales; Benilda María Cantillo-Rudas; Jesús David Berrio-Valbuena; Sudirman Sudirman; Angela Castro Inostroza – International Electronic Journal of Mathematics Education, 2025
The level of arithmetic knowledge of a high school student was explored when solving additive word problems considering the semantic structure and syntactic component. The methodology was qualitative and developed in four stages: the first is the selection of the participant, the second is the design of a questionnaire with twenty additive…
Descriptors: Problem Solving, Arithmetic, Mathematics Instruction, Addition
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Xiaoming Zhai; Matthew Nyaaba; Wenchao Ma – Science & Education, 2025
This study aimed to examine an assumption regarding whether generative artificial intelligence (GAI) tools can overcome the cognitive intensity that humans suffer when solving problems. We examine the performance of ChatGPT and GPT-4 on NAEP science assessments and compare their performance to students by cognitive demands of the items. Fifty-four…
Descriptors: Artificial Intelligence, National Competency Tests, Elementary Secondary Education, Problem Solving
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Rickard Östergren; Ulf Träff; Jessica Elofsson; Hugo Hesser; Joakim Samuelsson – Scandinavian Journal of Educational Research, 2024
The study set out to explore different mathematical difficulties among 877 second-grade children and to test the effect of memorization versus conceptual practices with number combinations. It used a latent profile analysis of baseline measurements of digit writing speed, number combination fluency, multidigit calculation, and number sense skills…
Descriptors: Grade 2, Elementary School Mathematics, Difficulty Level, Mathematical Concepts
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Soyeon Kim; Jung Bog Kim – Journal of Baltic Science Education, 2024
Despite increased research interest in improving students' scientific inquiry abilities, how to conduct scientific inquiry using science textbooks that are easily accessible to primary school students remains understudied. This study developed and verified an inquiry activity model (IAM) to improve the performance of primary school students in…
Descriptors: Science Instruction, Teaching Methods, Inquiry, Active Learning
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Xavier Ochoa; Xiaomeng Huang; Yuli Shao – Journal of Learning Analytics, 2025
Generative AI (GenAI) has the potential to revolutionize the analysis of educational data, significantly impacting learning analytics (LA). This study explores the capability of non-experts, including administrators, instructors, and students, to effectively use GenAI for descriptive LA tasks without requiring specialized knowledge in data…
Descriptors: Learning Analytics, Artificial Intelligence, Computer Software, Scores
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Cao, Yang; Gong, Shao-Ying; Wang, Zhen; Cheng, Yang; Wang, Yan-Qing – Journal of Computer Assisted Learning, 2022
Background: As one of the gamification elements, leaderboard, especially absolute leaderboard, is widely used in educational gamification systems. However, empirical studies on the optimal use condition of the leaderboard and underlying influence mechanisms are deficient. Objectives: This study explored which difficulty was more conducive to…
Descriptors: Goal Orientation, Difficulty Level, Learning Motivation, Educational Games
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Harrison, Scott; Kroehne, Ulf; Goldhammer, Frank; Lüdtke, Oliver; Robitzsch, Alexander – Large-scale Assessments in Education, 2023
Background: Mode effects, the variations in item and scale properties attributed to the mode of test administration (paper vs. computer), have stimulated research around test equivalence and trend estimation in PISA. The PISA assessment framework provides the backbone to the interpretation of the results of the PISA test scores. However, an…
Descriptors: Scoring, Test Items, Difficulty Level, Foreign Countries
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Uchenna Asogwa; T. Ryan Duckett; Amanda P. Malefyt; Lindsey Stevens; Gale Mentzer; Matthew W. Liberatore – Journal of Chemical Education, 2023
Complex problem solving is one of the skills desired in the 21st century workforce. Students can improve their problem-solving skills by working on homework problems, and creating new problems can be a stimulating and inventive exercise for student as well. Our previous studies explored the impacts of a novel homework pedagogy where students…
Descriptors: Video Technology, Student Centered Learning, Textbooks, Comparative Analysis
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Yoshiki Fujiwara; Hiroyuki Shimada – Language Acquisition: A Journal of Developmental Linguistics, 2024
The goal of this paper is to tease apart two approaches to the source of children's consistent scope assignment in negative sentences containing logical connectives: the Semantic Subset Principle and the Semantic Subset Maxim. Previous developmental work has observed that four- to six-year-old children across languages have difficulty with…
Descriptors: Semantics, Language Acquisition, Form Classes (Languages), Morphemes
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Florian Budimaier; Martin Hopf – Physical Review Physics Education Research, 2024
Although there has been extensive research on students' understanding of the particulate nature of matter (PNM), there is still a lack of research on contexts that can be used to teach this challenging topic. In a previous design-based research study, the authors developed a teaching-learning sequence (TLS) on the PNM in the context of crystal…
Descriptors: Physics, Teaching Methods, Learning Processes, Science Instruction
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Boggio, Cynthia; Bosse, Marie-Line; Favre-Félix, Alexis; Pobel-Burtin, Céline; Burnel, Morgane; Bianco, Maryse – Journal of Educational Research, 2023
Learning to spell is a difficult but essential task for children learning to read. Several spelling tasks involving different cognitive demands are used in classroom. To provide better guidance for teaching practices, a critical question is whether spelling performance of beginner readers is task dependent. The present study focuses on the…
Descriptors: Literacy, Learning Activities, Comparative Analysis, Grade 1
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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
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