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Wenchao Ma; Miguel A. Sorrel; Xiaoming Zhai; Yuan Ge – Journal of Educational Measurement, 2024
Most existing diagnostic models are developed to detect whether students have mastered a set of skills of interest, but few have focused on identifying what scientific misconceptions students possess. This article developed a general dual-purpose model for simultaneously estimating students' overall ability and the presence and absence of…
Descriptors: Models, Misconceptions, Diagnostic Tests, Ability
Wilson, Joseph; Pollard, Benjamin; Aiken, John M.; Lewandowski, H. J. – Physical Review Physics Education Research, 2022
Surveys have long been used in physics education research to understand student reasoning and inform course improvements. However, to make analysis of large sets of responses practical, most surveys use a closed-response format with a small set of potential responses. Open-ended formats, such as written free response, can provide deeper insights…
Descriptors: Natural Language Processing, Science Education, Physics, Artificial Intelligence
Zorluoglu, Seraceddin Levent; Yalçinkaya Önder, Eylem; Timur, Betül; Timur, Serkan; Güvenç, Elif; Özergun, Ilgim; Özdemir, Muzaffer – Journal of Baltic Science Education, 2022
Science education focuses on the methods of thinking about and using process skills rather than memorizing scientific facts. 5E educational model aims to learn by discovering scientific knowledge and engaging students in learning environments. The aim of this study was to examine the articles in the field of education related to the 5E educational…
Descriptors: Science Process Skills, Models, Science Instruction, Teaching Methods
Charlotte N. Gunawardena; Yan Chen; Nick Flor; Damien Sánchez – Online Learning, 2023
Gunawardena et al.'s (1997) Interaction Analysis Model (IAM) is one of the most frequently employed frameworks to guide the qualitative analysis of social construction of knowledge online. However, qualitative analysis is time consuming, and precludes immediate feedback to revise online courses while being delivered. To expedite analysis with a…
Descriptors: Models, Learning Processes, Knowledge Level, Online Courses
Körhasan, Nilüfer Didis; Wang, Lu – Chemistry Education Research and Practice, 2016
Mental modeling, which is a theory about knowledge organization, has been recently studied by science educators to examine students' understanding of scientific concepts. This qualitative study investigates undergraduate students' mental models of atomic spectra. Nine second-year physics students, who have already taken the basic chemistry and…
Descriptors: Undergraduate Students, Science Education, Physics, Quantum Mechanics
Janssen, Paul; Janssens, Ewald – Physics Teacher, 2015
To familiarize first-year students with the important ingredients of a physics experiment, we offer them a project close to their daily life: measuring the effect of air resistance on a bicycle. Experiments are done with a bicycle freewheeling on a downhill slope. The data are compared with equations of motions corresponding to different models…
Descriptors: Physics, Science Experiments, College Freshmen, Motion
Finson, Kevin D.; Pedersen, Jon E. – Journal of Visual Literacy, 2015
An emergent data analysis technique was employed to test the veracity of a conceptual framework constructed around visual data use and instruction in science classrooms. The framework incorporated all five key components Vosniadou (2007a, 2007b) described as existing in a learner's schema: framework theory, presuppositions, conceptual domains,…
Descriptors: Data Analysis, Visual Aids, Information Utilization, Models
Lopes, J. B.; Silva, A. A.; Cravino, J. P.; Santos, C. A.; Cunha, A.; Pinto, A.; Silva, A.; Viegas, C.; Saraiva, E.; Branco, M. J. – Research in Science Education, 2014
This study deals with the problem of how to collect genuine and useful data about science classroom practices, and preserving the complex and holistic nature of teaching and learning. Additionally, we were looking for an instrument that would allow comparability and verifiability for teaching and research purposes. Given the multimodality of…
Descriptors: Science Education, Data Collection, Educational Practices, Holistic Approach
English, Vincent; Crotty, Yvonne; Farren, Margaret – Digital Education Review, 2015
Inspiring Science Education (ISE) (http://www.inspiringscience.eu/) is an EU funded initiative that seeks to further the use of inquiry-based science learning (IBSL) through the medium of ICT in the classroom. The Basketball Shot is a scenario (lesson plan) that involves the use of video capture to help the student investigate the concepts of…
Descriptors: Active Learning, Inquiry, Motion, Video Technology
Izadi, Dina; Ley, César Eduardo Mora; Díaz, Mario Humberto Ramírez – Physics Education, 2017
Succeeding theories and empirical investigations have often been built over conceptual understanding to develop talent education. Opportunities provided by society are crucial at every point in the talent-development process. Abilities differ and can vary among boys and girls. Although they have some responsibility for their own growth and…
Descriptors: Foreign Countries, Science Education, Student Motivation, Student Attitudes
Bogartz, Richard S.; Staub, Adrian – Cognition, 2012
In three experimental tasks Stephen and Mirman (2010) measured gaze steps, the distance in pixels between gaze positions on successive samples from an eyetracker. They argued that the distribution of gaze steps is best fit by the lognormal distribution, and based on this analysis they concluded that interactive cognitive processes underlie eye…
Descriptors: Eye Movements, Cognitive Processes, Experiments, Task Analysis
Larsson, Caroline; Tibell, Lena A. – Research in Science Education, 2015
A well-ordered biological complex can be formed by the random motion of its components, i.e. self-assemble. This is a concept that incorporates issues that may contradict students' everyday experiences and intuitions. In previous studies, we have shown that a tangible model of virus self-assembly, used in a group exercise, helps students to grasp…
Descriptors: Science Education, Biology, Scientific Concepts, Molecular Structure
Giese, Alan R. – American Biology Teacher, 2012
Evaluating the strength of evidence in noisy data is a critical step in scientific thinking that typically relies on statistics. Students without statistical training will benefit from heuristic models that highlight the logic of statistical analysis. The likelihood associated with various coin-tossing outcomes gives students such a model. There…
Descriptors: Evidence, Statistical Analysis, Statistics, Models
Tsitsipis, Georgios; Stamovlasis, Dimitrios; Papageorgiou, George – International Journal of Science and Mathematics Education, 2012
In this study, the effect of 3 cognitive variables such as logical thinking, field dependence/field independence, and convergent/divergent thinking on some specific students' answers related to the particulate nature of matter was investigated by means of probabilistic models. Besides recording and tabulating the students' responses, a combination…
Descriptors: Cognitive Style, Logical Thinking, Creative Thinking, Misconceptions
Arthur, Richard T. W. – Science & Education, 2012
In this paper it is argued that virtual processes are dispensable fictions. The argument proceeds by a comparison with the phenomenon of quantum tunnelling. Building on an analysis of Levy-Leblond and Balibar, it is argued that, although the phenomenon known as quantum tunnelling certainly occurs and is at the basis of many paradigmatic quantum…
Descriptors: Cognitive Processes, Comparative Analysis, Data Analysis, Models