NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 19 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Gerd Kortemeyer; Julian Nöhl; Daria Onishchuk – Physical Review Physics Education Research, 2024
[This paper is part of the Focused Collection in Artificial Intelligence Tools in Physics Teaching and Physics Education Research.] Using a high-stakes thermodynamics exam as the sample (252 students, four multipart problems), we investigate the viability of four workflows for AI-assisted grading of handwritten student solutions. We find that the…
Descriptors: Grading, Physics, Science Instruction, Artificial Intelligence
Gregory J. Crowther; Usha Sankar; Leena S. Knight; Deborah L. Myers; Kevin T. Patton; Lekelia D. Jenkins; Thomas A. Knight – Journal of Microbiology & Biology Education, 2023
The biology education literature includes compelling assertions that unfamiliar problems are especially useful for revealing students' true understanding of biology. However, there is only limited evidence that such novel problems have different cognitive requirements than more familiar problems. Here, we sought additional evidence by using…
Descriptors: Science Instruction, Artificial Intelligence, Scoring, Molecular Structure
Peer reviewed Peer reviewed
Direct linkDirect link
Xiong-Skiba, P.; Buckner, S.; Little, C.; Kovalskiy, A. – Physics Teacher, 2020
This paper reports our work on replacing lab report grading by post-online lab quizzes using Desire2Learn (D2L, an online course management software), specifically, how we circumvent some of the limitations imposed by D2L and the outcomes.
Descriptors: Grading, Physics, Science Tests, Computer Assisted Testing
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
Direct linkDirect link
Golenhofen, Nikola; Heindl, Felix; Grab-Kroll, Claudia; Messerer, David A. C.; Böckers, Tobias M.; Böckers, Anja – Anatomical Sciences Education, 2020
Hand-held devices have revolutionized communication and education in the last decade. Consequently, mobile learning (m-learning) has become popular among medical students. Nevertheless, there are relatively few studies assessing students' learning outcomes using m-learning devices. This observational study presents an anatomy m-learning tool…
Descriptors: Anatomy, Undergraduate Students, Telecommunications, Handheld Devices
Peer reviewed Peer reviewed
Direct linkDirect link
Elnashar, Magdy Mahmoud – Biochemistry and Molecular Biology Education, 2018
In Australian Universities, based on a study from 1992 to 2014, the Feedback item has been consistently poorly rated by students. In addition, Biochemistry is a complex STEM subject which many students find difficult and was considered the hardest subject according to a recent study by Antigua medical school in the United States. In this work, a…
Descriptors: Feedback (Response), Teaching Methods, Lecture Method, Computer Software
Peer reviewed Peer reviewed
Direct linkDirect link
Balta, Nuri; Perera-Rodríguez, Víctor-Hugo; Hervás-Gómez, Carlos – Education and Information Technologies, 2018
Socrative is an online assessment and student response tool that provides opportunities to increase student engagement in the classroom. We used Socrative as an online homework completing platform to increase students' exam scores in physics. To explore the relationships among factors and the educational effectiveness of Socrative, data from 85…
Descriptors: Homework, Statistical Analysis, Scores, Student Attitudes
Peer reviewed Peer reviewed
Direct linkDirect link
Giordano, Andrea N.; Christopher, Casey R. – Journal of Chemical Education, 2020
The Spring 2020 semester will be marked in our history as one of the most challenging semesters for higher education, although through the adversity, we were presented with opportunities for classroom innovation. A reflective account of the teaching insights gained from implementing a COVID-19 miniunit and utilizing remote oral examinations is…
Descriptors: Best Practices, Teaching Methods, COVID-19, Pandemics
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Hidayati, Nuril; Irmawati, Farizha – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2019
The development of multimedia based on science, technology, engineering, and mathematics (STEM) to empower students critical thinking skills has not been optimally carried out. The purpose of this research was to develop multimedia of human anatomy and physiology material based on STEM which improve students' critical thinking skills. This…
Descriptors: Physiology, Anatomy, Science Instruction, Likert Scales
Peer reviewed Peer reviewed
Direct linkDirect link
Gamo, Javier – IEEE Transactions on Education, 2019
Contribution: There are many on-line resources available to learn about optics and photonics, but no assessment tools exist to evaluate the learning achievements. This paper presents an assessment framework whose validity has been proven on a course with over 70 engineering students. Background: There is evidence that on-line resources complement…
Descriptors: Optics, Engineering Education, Computer Software, Validity
Previous Page | Next Page »
Pages: 1  |  2