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Tingting Li; Kevin Haudek; Joseph Krajcik – Journal of Science Education and Technology, 2025
Scientific modeling is a vital educational practice that helps students apply scientific knowledge to real-world phenomena. Despite advances in AI, challenges in accurately assessing such models persist, primarily due to the complexity of cognitive constructs and data imbalances in educational settings. This study addresses these challenges by…
Descriptors: Artificial Intelligence, Scientific Concepts, Models, Automation
Shiroda, Megan; Uhl, Juli D.; Urban-Lurain, Mark; Haudek, Kevin C. – Journal of Science Education and Technology, 2022
Constructed response (CR) assessments allow students to demonstrate understanding of complex topics and provide teachers with deeper insight into student thinking. Computer scoring models (CSMs) remove the barrier of increased time and effort, making CR more accessible. As CSMs are commonly created using responses from research-intensive colleges…
Descriptors: Responses, Student Evaluation, Scoring, Models
Wagh, Aditi; Wilensky, Uri – Journal of Science Education and Technology, 2018
Extensive research has shown that one of the benefits of programming to learn about scientific phenomena is that it facilitates learning about mechanisms underlying the phenomenon. However, using programming activities in classrooms is associated with costs such as requiring additional time to learn to program or students needing prior experience…
Descriptors: Evolution, Programming, Computer Uses in Education, Comparative Analysis
Xiang, Lin; Passmore, Cynthia – Journal of Science Education and Technology, 2015
There has been increased recognition in the past decades that model-based inquiry (MBI) is a promising approach for cultivating deep understandings by helping students unite phenomena and underlying mechanisms. Although multiple technology tools have been used to improve the effectiveness of MBI, there are not enough detailed examinations of how…
Descriptors: Inquiry, Active Learning, Models, Case Studies
Kim, Beaumie; Pathak, Suneeta A.; Jacobson, Michael J.; Zhang, Baohui; Gobert, Janice D. – Journal of Science Education and Technology, 2015
Model-based reasoning has been introduced as an authentic way of learning science, and many researchers have developed technological tools for learning with models. This paper describes how a model-based tool, "BioLogica"™, was used to facilitate genetics learning in secondary 3-level biology in Singapore. The research team co-designed…
Descriptors: Models, Science Instruction, Genetics, Secondary School Science
Ha, Minsu; Nehm, Ross H. – Journal of Science Education and Technology, 2016
Automated computerized scoring systems (ACSSs) are being increasingly used to analyze text in many educational settings. Nevertheless, the impact of misspelled words (MSW) on scoring accuracy remains to be investigated in many domains, particularly jargon-rich disciplines such as the life sciences. Empirical studies confirm that MSW are a…
Descriptors: Spelling, Case Studies, Computer Uses in Education, Test Scoring Machines
García, Isaías; Benavides, Carmen; Alaiz, Héctor; Alonso, Angel – Journal of Science Education and Technology, 2013
This paper describes research on the use of knowledge models (ontologies) for building computer-aided educational software in the field of control engineering. Ontologies are able to represent in the computer a very rich conceptual model of a given domain. This model can be used later for a number of purposes in different software applications. In…
Descriptors: Engineering Education, Taxonomy, Lexicography, Information Science
Bean, Thomas E.; Sinatra, Gale M.; Schrader, P. G. – Journal of Science Education and Technology, 2010
The use of computer simulations as educational tools may afford the means to develop understanding of evolution as a natural, emergent, and decentralized process. However, special consideration of developmental constraints on learning may be necessary when using these technologies. Specifically, the essentialist (biological forms possess an…
Descriptors: Misconceptions, Models, Evolution, Bias
Peer reviewedCopolo, Cynthia F.; Hounshell, Paul B. – Journal of Science Education and Technology, 1995
Compares the effects of using two- and three-dimensional model representations of molecular structures on student learning of organic chemical structures. Reports that students using both three-dimensional computer models and ball-and-stick models scored higher on the three-dimensional retention test of isomeric identification but lower on a…
Descriptors: Computer Uses in Education, Educational Technology, Models, Molecular Structure
Peer reviewedBalaban, Alexandru T. – Journal of Science Education and Technology, 1999
Discusses in great detail aspects connected with the visual and mental processing of chemical images. Presents various types of conventions for translating three-dimensional objects into two-dimensional representations. (Author/CCM)
Descriptors: Chemistry, Computer Uses in Education, Higher Education, Models
Peer reviewedKeating, Thomas; Barnett, Michael; Barab, Sasha A.; Hay, Kenneth E. – Journal of Science Education and Technology, 2002
Describes the Virtual Solar System (VSS) course which is one of the first attempts to integrate three-dimensional (3-D) computer modeling as a central component of introductory undergraduate education. Assesses changes in student understanding of astronomy concepts as a result of participating in an experimental introductory astronomy course in…
Descriptors: Astronomy, Computer Uses in Education, Concept Formation, Educational Technology
Peer reviewedPost-Zwicker, A. P.; Davis, W.; Grip, R.; McKay, M.; Stotler, D. P.; Pfaff, R. – Journal of Science Education and Technology, 1999
Presents a model for using the Internet to teach high school students about plasma physics and fusion energy. (Author/CCM)
Descriptors: Computer Uses in Education, Data Collection, Energy Education, Internet
Peer reviewedBork, Alfred – Journal of Science Education and Technology, 2001
Visualizes the future of learning and considers current and new paradigms concerning technology and learning. Recommends high interactive tutorial learning for very large numbers of students in distance learning situations. (Contains 17 references.) (Author/YDS)
Descriptors: Computer Software, Computer Uses in Education, Distance Education, Elementary Secondary Education
Peer reviewedEylon, Bat-Sheva; And Others – Journal of Science Education and Technology, 1996
Explores the potential of the RAY learning environment in improving learning about optics. Results indicate that this environment, which includes a flexible ray-tracing simulation, had a significant effect on the spontaneous and correct use of the model by students in solving problems and a limited effect on conceptual understanding, but promoted…
Descriptors: Case Studies, Computer Uses in Education, Educational Technology, Foreign Countries
Peer reviewedBarab, Sasha A.; Hay, Kenneth E.; Squire, Kurt; Barnett, Michael; Schmidt, Rae; Karrigan, Kristen; Yamagata-Lynch, Lisa; Johnson, Christine – Journal of Science Education and Technology, 2000
Describes an introductory undergraduate astronomy course in which the large-lecture format was moved to one in which students were immersed in a technologically-rich, inquiry-based, participatory learning environment. Finds that virtual reality can be used effectively in regular undergraduate university courses as a tool through which students can…
Descriptors: Astronomy, Computer Simulation, Computer Uses in Education, Higher Education
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