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Jesús Erubiel Miguel-Gómez; Dennise Salazar; Miguel Reina – Journal of Chemical Education, 2023
Ludic-didactic material has systematically been proven to be a useful tool that enhances teaching and learning processes, at practically any educational level by reducing the stress level of students and creating a feeling of team spirit and trust. In chemistry courses, significant efforts have been made to improve the learning of intermolecular…
Descriptors: Chemistry, Science Education, Science Instruction, Teaching Methods
Thacker, Nathan L. – ProQuest LLC, 2023
Organic chemistry is a class well known to be difficult and necessary for many careers in the sciences, and as a result, has garnered interest in researching ways to improve student learning and comprehension. One potential way involves using eye tracking techniques to understand how students visually examine questions. Organic chemistry involves…
Descriptors: Science Instruction, Multiple Choice Tests, Organic Chemistry, Science Tests
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Webb, David J.; Paul, Cassandra A. – Physical Review Physics Education Research, 2023
We add to a growing literature suggesting that demographic grade gaps should be attributed to biases embedded in the courses themselves. Changes in the structure of two different introductory physics classes were made while leaving the topics covered and the level of coverage unchanged. First, a class where conceptual issues were studied before…
Descriptors: Equal Education, Disproportionate Representation, Minority Group Students, Science Education
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Ana-Simona Ilie; Paula Maria Buda; Daniela Pahome – Romanian Review of Geographical Education, 2023
In this study, we aim to analyze the effects of discovery-based learning through film viewing on students' knowledge about a specific animal species and its habitat. The following hypothesis is tested: students' knowledge about animals and their environment is greater as a result of discovering information through watching videos. The study…
Descriptors: Films, Discovery Learning, Video Technology, Learning Processes
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Jimena Cosso; Alexa Ellis; Sandra L. Camargo Salamanca; María Inés Susperreguy – Journal of Numerical Cognition, 2025
Using data from the Trends in International Mathematics and Science Study (TIMSS), this study examines the student and school characteristics that contribute to students' mathematics performance in early elementary school in Chile. Previous research has separately analyzed the association of student and school factors with mathematics performance.…
Descriptors: Mathematics Achievement, Institutional Characteristics, Elementary School Students, Grade 4
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Liqun Yin; Ummugul Bezirhan; Matthias von Davier – International Electronic Journal of Elementary Education, 2025
This paper introduces an approach that uses latent class analysis to identify cut scores (LCA-CS) and categorize respondents based on context scales derived from largescale assessments like PIRLS, TIMSS, and NAEP. Context scales use Likert scale items to measure latent constructs of interest and classify respondents into meaningful ordered…
Descriptors: Multivariate Analysis, Cutting Scores, Achievement Tests, Foreign Countries
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Laura L. Beaton – Journal of Educational Technology Systems, 2025
Online quizzes and learning platforms provided by textbook publishers have become common components of undergraduate education. Here, I examine how participation in these formative assessments related to student course performance. Over multiple semesters, students completed either free online unlimited attempt quizzes or assignments from a…
Descriptors: Formative Evaluation, Computer Assisted Testing, Tests, Student Evaluation
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Yizhu Gao; Xiaoming Zhai; Min Li; Gyeonggeon Lee; Xiaoxiao Liu – Grantee Submission, 2025
The rapid evolution of generative artificial intelligence (GenAI) is transforming science education by facilitating innovative pedagogical paradigms while raising substantial concerns about scholarly integrity. One particularly pressing issue is the growing risk of student use of GenAI tools to outsource assessment tasks, potentially compromising…
Descriptors: Artificial Intelligence, Computer Software, Science Education, Integrity
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Yizhu Gao; Xiaoming Zhai; Min Li; Gyeonggeon Lee; Xiaoxiao Liu – Journal of Research in Science Teaching, 2025
The rapid evolution of generative artificial intelligence (GenAI) is transforming science education by facilitating innovative pedagogical paradigms while raising substantial concerns about scholarly integrity. One particularly pressing issue is the growing risk of student use of GenAI tools to outsource assessment tasks, potentially compromising…
Descriptors: Artificial Intelligence, Computer Software, Science Education, Integrity
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Cheung, Kason Ka Ching – Science & Education, 2020
Nature of science (NOS) has become one of the major emphases in curriculum and assessment. This study explores "what" NOS is included and how this is achieved in the Hong Kong biology curriculum and 7-year high-stakes assessments. While conceptualizations of the official definition of NOS differ, this study employs the family resemblance…
Descriptors: Scientific Principles, Curriculum Development, Biology, High Stakes Tests
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Zhai, Xiaoming; Yin, Yue; Pellegrino, James W.; Haudek, Kevin C.; Shi, Lehong – Studies in Science Education, 2020
Machine learning (ML) is an emergent computerised technology that relies on algorithms built by 'learning' from training data rather than 'instruction', which holds great potential to revolutionise science assessment. This study systematically reviewed 49 articles regarding ML-based science assessment through a triangle framework with technical,…
Descriptors: Science Education, Computer Assisted Testing, Science Tests, Scoring
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Adu-Gyamfi, Kenneth; Ampiah, Joseph Ghartey; Agyei, Douglas Darko – International Journal of Education and Practice, 2020
This study aimed at designing a framework to help students develop a conceptual understanding of redox reactions, which draws on constructivist learning theory. This framework was in the form of participatory teaching and learning approach comprising Insight, Interaction, Task, and Forum. The framework was designed and developed based on the…
Descriptors: High School Students, Secondary School Science, Teaching Methods, Chemistry
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Davenport, Casey E.; French, Adam J. – Journal of Geoscience Education, 2020
The Fundamentals in Meteorology Inventory (FMI) concept inventory exam was recently developed to gauge understanding of fundamental meteorological concepts among introductory meteorology students. The exam was iteratively tested and refined over several years using a small sample of students. With a goal of evaluating the reliability and validity…
Descriptors: Meteorology, Science Tests, Fundamental Concepts, Test Validity
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Stylinski, Cathlyn Davis; Peterman, Karen; Phillips, Tina; Linhart, Jenna; Becker-Klein, Rachel – International Journal of Science Education, Part B: Communication and Public Engagement, 2020
Skill-based outcomes play a prominent role in citizen science experiences as they are situated directly between the dual, intertwining goals of advancing science learning and science research. Regular and transparent assessment of volunteers' science inquiry skills can support these goals, but we lack a comprehensive understanding of how these…
Descriptors: Science Process Skills, Citizen Participation, Scientific Research, Volunteers
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Haskell, Todd; Borda, Emily; Boudreaux, Andrew – Physical Review Physics Education Research, 2022
The structure of many science programs at the college level assumes that students are able to draw on and integrate ideas from multiple disciplinary contexts. However, most assessment tools focus on learning in the context of a single discipline. We describe the development and validation of an instrument to measure how well students are able to…
Descriptors: Physics, Energy, Interdisciplinary Approach, Science Instruction
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