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Using Automated Analysis to Assess Middle School Students' Competence with Scientific Argumentation
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Christopher D. Wilson; Kevin C. Haudek; Jonathan F. Osborne; Zoë E. Buck Bracey; Tina Cheuk; Brian M. Donovan; Molly A. M. Stuhlsatz; Marisol M. Santiago; Xiaoming Zhai – Journal of Research in Science Teaching, 2024
Argumentation is fundamental to science education, both as a prominent feature of scientific reasoning and as an effective mode of learning--a perspective reflected in contemporary frameworks and standards. The successful implementation of argumentation in school science, however, requires a paradigm shift in science assessment from the…
Descriptors: Middle School Students, Competence, Science Process Skills, Persuasive Discourse
From Substitution to Redefinition: A Framework of Machine Learning-Based Science Assessment
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Zhai, Xiaoming; Haudek, Kevin C.; Shi, Lehong; Nehm, Ross H.; Urban-Lurain, Mark – Journal of Research in Science Teaching, 2020
This study develops a framework to conceptualize the use and evolution of machine learning (ML) in science assessment. We systematically reviewed 47 studies that applied ML in science assessment and classified them into five categories: (a) constructed response, (b) essay, (c) simulation, (d) educational game, and (e) inter-discipline. We compared…
Descriptors: Computer Assisted Testing, Science Tests, Essays, Simulation
Identifying Patterns of Students' Performance on Simulated Inquiry Tasks Using PISA 2015 Log-File Data
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Teig, Nani; Scherer, Ronny; Kjaernsli, Marit – Journal of Research in Science Teaching, 2020
Previous research has demonstrated the potential of examining log-file data from computer-based assessments to understand student interactions with complex inquiry tasks. Rather than solely providing information about what has been achieved or the accuracy of student responses ("product data"), students' log files offer additional…
Descriptors: Science Process Skills, Thinking Skills, Inquiry, Simulation
Designing Automated Guidance for Concept Diagrams in Inquiry Instruction
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Ryoo, Kihyun; Linn, Marcia C. – Journal of Research in Science Teaching, 2016
Advances in automated scoring technologies have the potential to support student learning during inquiry instruction by providing timely and adaptive guidance on individual students' responses. To identify which forms of automated guidance can be beneficial for inquiry learning, we compared reflective guidance to directive guidance for…
Descriptors: Active Learning, Inquiry, Computer Assisted Testing, Scoring
Comparing Three Online Testing Modalities: Using Static, Active, and Interactive Online Testing Modalities to Assess Middle School Students' Understanding of Fundamental Ideas and Use of Inquiry Skills Related to Ecosystems
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DeBoer, George E.; Quellmalz, Edys S.; Davenport, Jodi L.; Timms, Michael J.; Herrmann-Abell, Cari F.; Buckley, Barbara C.; Jordan, Kevin A.; Huang, Chun-Wei; Flanagan, Jean C. – Journal of Research in Science Teaching, 2014
Online testing holds much promise for assessing students' complex science knowledge and inquiry skills. In the current study, we examined the comparative effectiveness of assessment tasks and test items presented in online modules that used either a static, active, or interactive modality. A total of 1,836 students from the classrooms of 22 middle…
Descriptors: Computer Assisted Testing, Test Items, Interaction, Middle School Students
The Emergence of a Learning Progression in Middle School Chemistry
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Johnson, Philip; Tymms, Peter – Journal of Research in Science Teaching, 2011
Previously, a small scale, interview-based, 3-year longitudinal study (ages 11-14) in one school had suggested a learning progression related to the concept of a substance. This article presents the results of a large-scale, cross-sectional study which used Rasch modeling to test the hypothesis of the learning progression. Data were collected from…
Descriptors: Computer Assisted Testing, Chemistry, Measures (Individuals), Foreign Countries