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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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Cassidy L. Wilkes; Madelyn M. Gamble; Guizella A. Rocabado – Chemistry Education Research and Practice, 2024
Chemistry is often daunting for college students, contributing to high attrition rates in STEM majors. This study explored students' perceptions of the challenges in studying chemistry, including task effort and emotional costs. We examined how these perceptions, along with goal approaches, impact academic performance and retention in general…
Descriptors: Chemistry, Science Instruction, Science Achievement, Student Attitudes
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Daniel Laumann; Paul Schlummer; Adrian Abazi; Rasmus Borkamp; Jonas Lauströer; Wolfram Pernice; Carsten Schuck; Reinhard Schulz-Schaeffer; Stefan Heusler – Journal of Science Education and Technology, 2024
For nearly two decades, augmented reality (AR) has found diverse applications in education, particularly in science education, where its efficacy has been supported by relevant theories and many empirical studies. However, previous studies have revealed the following research deficit: While AR technology appears to influence learning-related…
Descriptors: Computer Simulation, Physics, Science Laboratories, Science Experiments
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Lisa A. Bonner; Jalisa H. Ferguson – Journal of College Science Teaching, 2025
Condensed courses are commonly used across academia as a means for students to catch up or get ahead of their curriculum. Instructors may be hesitant to teach such courses due to concerns about limited knowledge retention and reduced academic rigor. We sought to determine if there are any differences in changes of student attitudes before and…
Descriptors: Organic Chemistry, Science Instruction, Barriers, Academic Standards
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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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Rawad Chaker; Mélanie Gallot; Ayodélé Madi; Christian Collet; Nady Hoyek – Anatomical Sciences Education, 2025
During the COVID-19 pandemic, anatomy educators have demonstrated their ability to respond to face-to-face (F2F) teaching restrictions and offer emergency remote teaching and learning (ERTL) approach. Another educational model that was intensified during COVID-19 was blended learning (BL) which is a combination of F2F and online settings. Studies…
Descriptors: Anatomy, Human Body, Kinesiology, Science Instruction
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Connor Haindfield; William Cerbin; Douglas Baumann; Heather Schenck – Chemistry Education Research and Practice, 2024
Two generative approaches to reaction mechanism instruction for novice students were compared to lecture instruction. In both approaches, students were coached to propose selected reaction mechanisms based on prior knowledge. New instructional methods were correlated with increased skill in representations of electron movements and other gains.…
Descriptors: Science Instruction, Teaching Methods, Prior Learning, Science Achievement
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Kuan-Fu Chen; Gwo-Jen Hwang; Mei-Rong Alice Chen – Educational Technology Research and Development, 2024
Many studies have incorporated concept maps into digital games to enable learners to make connections between subject concepts in the game. However, most learners do not associate spontaneously with the thematic concepts in the game but need to be facilitated by effective scaffolding mechanisms to reconceptualize the learning process and content.…
Descriptors: Concept Mapping, Game Based Learning, Learning Strategies, Grade 7
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Edward N. Harris; Evan A. Schroder; Teryn J. Berks – Smart Learning Environments, 2024
Concept-heavy courses such as Biochemistry in life and physical science curricula are challenging for many college-aged students. It is easy for students to disengage in a lecture and not learn the subject matter while in class. To improve student learning and participation, we employed a flipped format for the first half of the course and…
Descriptors: Biochemistry, Flipped Classroom, Science Instruction, Teaching Methods
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Musa Adekunle Ayanwale; Jamiu Oluwadamilare Amusa; Adekunle Ibrahim Oladejo; Funmilayo Ayedun – Interchange: A Quarterly Review of Education, 2024
The study focuses on assessing the proficiency levels of higher education students, specifically the physics achievement test (PHY 101) at the National Open University of Nigeria (NOUN). This test, like others, evaluates various aspects of knowledge and skills simultaneously. However, relying on traditional models for such tests can result in…
Descriptors: Item Response Theory, Difficulty Level, Item Analysis, Test Items
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Soojeong Jeong; Justin Rague; Kaylee Litson; David F. Feldon; M. Jeannette Lawler; Kenneth Plummer – Education and Information Technologies, 2025
DBL is a novel pedagogical approach intended to improve students' conditional knowledge and problem-solving skills by exposing them to a sequence of branching learning decisions. The DBL software provided students with ample opportunities to engage in the expert decision-making processes involved in complex problem-solving and to receive…
Descriptors: Decision Making, Learning Processes, Introductory Courses, Science Education
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Qi Huang; Daniel M. Bolt; Weicong Lyu – Large-scale Assessments in Education, 2024
Large scale international assessments depend on invariance of measurement across countries. An important consideration when observing cross-national differential item functioning (DIF) is whether the DIF actually reflects a source of bias, or might instead be a methodological artifact reflecting item response theory (IRT) model misspecification.…
Descriptors: Test Items, Item Response Theory, Test Bias, Test Validity
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Yangqiuting Li; Chandralekha Singh – Physical Review Physics Education Research, 2025
Research-based multiple-choice questions implemented in class with peer instruction have been shown to be an effective tool for improving students' engagement and learning outcomes. Moreover, multiple-choice questions that are carefully sequenced to build on each other can be particularly helpful for students to develop a systematic understanding…
Descriptors: Physics, Science Instruction, Science Tests, Multiple Choice Tests
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Jannis Weber; Thomas Wilhelm – Physical Review Physics Education Research, 2024
Students experience many difficulties learning the fundamental relationships in Newtonian mechanics, partly due to preexisting mental models that originate from their everyday lives. These preconceptions often persist even after instruction in mechanics and lead to a supposed incompatibility between physics lessons in school and personal…
Descriptors: Physics, Science Instruction, Scientific Concepts, Mechanics (Physics)
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Qian Huangfu; Qianmei He; Sisi Luo; Weilin Huang; Yahua Yang – Journal of Computer Assisted Learning, 2025
Background: Video lectures which include the teachers' presence have become increasingly common. As teacher enthusiasm is a nonverbal cue in video lectures, more and more studies are focusing on this topic. However, little research has been carried out on the interactions between teacher enthusiasm and prior knowledge when learning from video…
Descriptors: Chemistry, Science Instruction, Teacher Student Relationship, Teacher Response