NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Researchers1
Laws, Policies, & Programs
Assessments and Surveys
Learning Style Inventory1
What Works Clearinghouse Rating
Showing all 13 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Rebeckah K. Fussell; Emily M. Stump; N. G. Holmes – Physical Review Physics Education Research, 2024
Physics education researchers are interested in using the tools of machine learning and natural language processing to make quantitative claims from natural language and text data, such as open-ended responses to survey questions. The aspiration is that this form of machine coding may be more efficient and consistent than human coding, allowing…
Descriptors: Physics, Educational Researchers, Artificial Intelligence, Natural Language Processing
Peer reviewed Peer reviewed
Direct linkDirect link
Battaglia, Onoforio Rosario; Di Paola, Benedetto; Fazio, Claudio – Physical Review Physics Education Research, 2019
A relevant aim of research in education is to find and study the reasoning lines that students deploy when dealing with problematic situations. This can be done through an analysis of the answers students give to a questionnaire. In this paper, we discuss some methodological aspects involved in the quantitative analysis of a questionnaire by means…
Descriptors: Correlation, Coding, Statistical Analysis, Questionnaires
Peer reviewed Peer reviewed
Direct linkDirect link
Podschuweit, Sören; Bernholt, Sascha; Brückmann, Maja – Research in Science & Technological Education, 2016
Background: Complexity models have provided a suitable framework in various domains to assess students' educational achievement. Complexity is often used as the analytical focus when regarding learning outcomes, i.e. when analyzing written tests or problem-centered interviews. Numerous studies reveal negative correlations between the complexity of…
Descriptors: Classroom Environment, Interaction, Academic Achievement, Environmental Influences
Peer reviewed Peer reviewed
Direct linkDirect link
Loverude, Michael – Physical Review Special Topics - Physics Education Research, 2015
As part of an ongoing project to examine student learning in upper-division courses in thermal and statistical physics, we have examined student reasoning about entropy and the second law of thermodynamics. We have examined reasoning in terms of heat transfer, entropy maximization, and statistical treatments of multiplicity and probability. In…
Descriptors: Science Instruction, Scientific Concepts, Physics, Thermodynamics
Peer reviewed Peer reviewed
Direct linkDirect link
Wood, Anna K.; Galloway, Ross K.; Donnelly, Robyn; Hardy, Judy – Physical Review Physics Education Research, 2016
Interactive engagement activities are increasingly common in undergraduate physics teaching. As research efforts move beyond simply showing that interactive engagement pedagogies work towards developing an understanding of "how" they lead to improved learning outcomes, a detailed analysis of the way in which these activities are used in…
Descriptors: Blended Learning, Educational Technology, Technology Uses in Education, Physics
Peer reviewed Peer reviewed
Direct linkDirect link
Kandil Ingec, Sebnem – Educational Research and Reviews, 2015
This study aims to determine the dominant learning styles of pre-service physics teachers and to examine them in terms of variables such as gender, information and communication technologies skills, academic achievement and type of motivation. Survey model was used. The sample composed of 50 pre-service physics teachers. The data were collected…
Descriptors: Foreign Countries, Preservice Teachers, Science Teachers, Physics
Peer reviewed Peer reviewed
Direct linkDirect link
Hill, Matthew; Sharma, Manjula Devi – EURASIA Journal of Mathematics, Science & Technology Education, 2015
To succeed within scientific disciplines, using representations, including those based on words, graphs, equations, and diagrams, is important. Research indicates that the use of discipline specific representations (sometimes referred to as expert generated representations), as well as multi-representational use, is critical for problem solving…
Descriptors: Case Studies, Graduate Students, Qualitative Research, Coding
Peer reviewed Peer reviewed
Direct linkDirect link
Yerdelen-Damar, Sevda; Elby, Andrew – Physical Review Physics Education Research, 2016
This study investigates how elite Turkish high school physics students claim to approach learning physics when they are simultaneously (i) engaged in a curriculum that led to significant gains in their epistemological sophistication and (ii) subject to a high-stakes college entrance exam. Students reported taking surface (rote) approaches to…
Descriptors: Foreign Countries, High School Students, Secondary School Science, Science Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Supalo, Cary A.; Humphrey, Jennifer R.; Mallouk, Thomas E.; Wohlers, H. David; Carlsen, William S. – Chemistry Education Research and Practice, 2016
To determine whether a suite of audible adaptive technologies would increase the hands-on participation of high school students with blindness or low vision in chemistry and physics courses, data were examined from a multi-year field study conducted with students in mainstream classrooms at secondary schools across the United States. The students…
Descriptors: Assistive Technology, Hands on Science, Science Instruction, Secondary School Science
Kai, Shiming; Paquette, Luc; Baker, Ryan S.; Bosch, Nigel; D'Mello, Sidney; Ocumpaugh, Jaclyn; Shute, Valerie; Ventura, Matthew – International Educational Data Mining Society, 2015
Increased attention to the relationships between affect and learning has led to the development of machine-learned models that are able to identify students' affective states in computerized learning environments. Data for these affect detectors have been collected from multiple modalities including physical sensors, dialogue logs, and logs of…
Descriptors: Video Technology, Interaction, Physics, Affective Behavior
Peer reviewed Peer reviewed
Direct linkDirect link
Didis, Nilüfer; Eryilmaz, Ali; Erkoç, Sakir – Physical Review Special Topics - Physics Education Research, 2014
This paper is the first part of a multiphase study examining students' mental models about the quantization of physical observables--light, energy, and angular momentum. Thirty-one second-year physics and physics education college students who were taking a modern physics course participated in the study. The qualitative analysis of data revealed…
Descriptors: Science Instruction, Cognitive Structures, Models, Visualization
Marshall, Jilll A.; Castillo, Adam J.; Cardenas, M. Bayani – Journal of Geoscience Education, 2015
We investigated the effect of modeling and visualization resources on upper-division, undergraduate and graduate students' performance on an open-ended assessment of their understanding of physical hydrology. The students were enrolled in one of five sections of a physical hydrology course. In two of the sections, students completed homework…
Descriptors: Earth Science, Science Instruction, Scientific Concepts, Concept Formation
Peer reviewed Peer reviewed
Direct linkDirect link
Fulmer, Gavin W.; Liang, Ling L.; Liu, Xiufeng – International Journal of Science Education, 2014
This exploratory study applied a proposed force and motion learning progression (LP) to high-school and university students and to content involving both one- and two-dimensional force and motion situations. The Force Concept Inventory (FCI) was adapted, based on a previous content analysis and coding of the questions in the FCI in terms of the…
Descriptors: Secondary School Science, High School Students, College Science, College Students