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Showing 1 to 15 of 38 results Save | Export
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Ha Nguyen; Jake Hayward – Journal of Science Education and Technology, 2025
High-quality science assessments are multi-dimensional. They promote disciplinary practices, core ideas, cross-cutting concepts, and science sense-making. In this paper, we investigate the feasibility of using generative artificial intelligence (GenAI), specifically multimodal large language models (MLLMs), to annotate and provide improvement…
Descriptors: Science Tests, Criticism, Artificial Intelligence, Technology Uses in Education
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Ðoric, Biljana; Lambic, Dragan; Jovanovic, Željko – Research in Science Education, 2021
The aim of this study was to determine the impact of three different software simulations for studying Ohm's law and connecting resistors on students' academic performance. A total of 168 eighth-grade pupils were divided into three groups. The first group used the software containing the simulation with an already created electrical circuit, an…
Descriptors: Grade 8, Feedback (Response), Computer Software, Computer Simulation
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dos Santos, Paulo José Sena; dos Santos, Toni Fernando Mendes – Physics Education, 2021
Many researches show that students have difficulties in understanding graphics in kinematics. Some authors argue that we can use different instructional strategies to reduce these difficulties. Based on these studies, we developed and applied a didactic sequence using educational robotics to teach graphic analysis in movements in a dimension with…
Descriptors: Teaching Methods, Physics, Science Education, Graphs
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Fabian Kieser; Peter Wulff; Jochen Kuhn; Stefan Küchemann – Physical Review Physics Education Research, 2023
Generative AI technologies such as large language models show novel potential to enhance educational research. For example, generative large language models were shown to be capable of solving quantitative reasoning tasks in physics and concept tests such as the Force Concept Inventory (FCI). Given the importance of such concept inventories for…
Descriptors: Physics, Science Instruction, Artificial Intelligence, Computer Software
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Kortemeyer, Gerd – Physical Review Physics Education Research, 2023
Massive pretrained language models have garnered attention and controversy due to their ability to generate humanlike responses: Attention due to their frequent indistinguishability from human-generated phraseology and narratives and controversy due to the fact that their convincingly presented arguments and facts are frequently simply false. Just…
Descriptors: Artificial Intelligence, Physics, Science Instruction, Introductory Courses
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Rose, John; Pennington, Richard; Behmke, Derek; Kerven, David; Lutz, Robert; Paredes, Julia E. Barker – Journal of Chemical Education, 2019
A series of organic chemistry synthesis problem sets were provided to students. Potential solution pathways and strategies were recorded on video by the instructor and provided to students electronically via YouTube. Performance on the end-of-semester synthesis exam showed significant gains, with the average increasing by 13% after the…
Descriptors: Science Instruction, Teaching Methods, Organic Chemistry, Video Technology
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Zhang, Lishan; VanLehn, Kurt – Interactive Learning Environments, 2021
Despite their drawback, multiple-choice questions are an enduring feature in instruction because they can be answered more rapidly than open response questions and they are easily scored. However, it can be difficult to generate good incorrect choices (called "distractors"). We designed an algorithm to generate distractors from a…
Descriptors: Semantics, Networks, Multiple Choice Tests, Teaching Methods
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Johnson, Hailey A.; Adams, Peter N.; Antonenko, Pavlo D. – Journal of Geoscience Education, 2022
The vast extent to which quantitative prerequisites vary among post-secondary geoscience programs often presents a challenge for educators and students alike in courses for which math and physics are foundational. This study discusses the design of GEOAppS, a suite of educational numerical models, and its application toward lowering the…
Descriptors: Computer Software, Physics, Science Instruction, Mathematics Instruction
Louis Alexiz C. Urbina – Online Submission, 2025
This research investigated how collaborative e-learning strategies affected the understanding of DNA Replication among the 9th-grade Biology CC class. The study involved 24 diverse students (ages 15-17), including regular education students, English Language Learners (ELLs), and students with IEPs selected through proportional stratified random…
Descriptors: Cooperative Learning, Science Instruction, Teaching Methods, Outcomes of Education
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Meyer, Edgar R.; James, Amber M.; Sinning, Allan; Thompson, Kenneth; Cui, Dongmei – HAPS Educator, 2020
Despite proliferative use of anatomical virtual models, there are few studies exploring whether stereoscopic models help medical students retain information regarding three-dimensional (3D) relationships of structures. This pilot study examined first-year medical students' exposure to a virtual 3D stereoscopic pelvis model and their corresponding…
Descriptors: Anatomy, Teaching Methods, Medical Education, Medical Students
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Maryuningsih, Yuyun; Hidayat, Topik; Riand, R.; Rustaman, Nuryani Y. – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2022
Genetics is a subject that is quite difficult according to students. Various strategies and methods are used to understand genetics in learning to have genetic literacy. One way of increasing genetic literacy in students is to apply genetic problems based on an online discussion in genetics lectures. The research was conducted to determine the…
Descriptors: Genetics, Scientific Literacy, Problem Based Learning, Teaching Methods
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Porter, C. D.; Smith, J. R. H.; Stagar, E. M.; Simmons, A.; Nieberding, M.; Orban, C. M.; Brown, J.; Ayers, A. – Physical Review Physics Education Research, 2020
Recent years have seen a resurgence of interest in using virtual reality (VR) technology to benefit instruction, especially in physics and related subjects. As VR devices improve and become more widely available, there remains a number of unanswered questions regarding the impact of VR on student learning and how best to use this technology in the…
Descriptors: Physics, Science Instruction, Video Games, Computer Simulation
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Huang, Wen; Roscoe, Rod D.; Craig, Scotty D.; Johnson-Glenberg, Mina C. – Journal of Educational Computing Research, 2022
Virtual reality (VR) has a high potential to facilitate education. However, the design of many VR learning applications was criticized for lacking the guidance of explicit and appropriate learning theories. To advance the use of VR in effective instruction, this study proposed a model that extended the cognitive-affective theory of learning with…
Descriptors: Affective Behavior, Learning Theories, Computer Simulation, Teaching Methods
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Okcay, Murat; Haslam, Matthew J.; Jackson, Adriana R.; Kauppila, Tia M.; Larkin, Breanna; McBride, Chloe K.; Ticotin, Reece A.; Akyazi, Deniz – Journal of STEM Education: Innovations and Research, 2021
The purpose of this paper was to demonstrate University and High School collaboration through a Service Learning exercise. Pedagogical collaboration between the local Prescott High School and senior level mechanical engineering students from Embry Riddle Aeronautical University (ERAU) in Arizona had great benefits to both schools and the students.…
Descriptors: Service Learning, College School Cooperation, Student Interests, STEM Education
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Voice, Alison; Stirton, Arran – New Directions in the Teaching of Physical Sciences, 2020
The use of spaced repetition within a physics higher education thermodynamics module has been analysed for: its pattern of use by students; its effect on memory and performance in the end of module exam; and performance in a delayed test after the summer vacation. A custom-built web app with the facility to generate a personalised repetition…
Descriptors: STEM Education, Physics, Higher Education, Thermodynamics
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