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Joe Olsen; Amy Adair; Janice Gobert; Michael Sao Pedro; Mariel O'Brien – Grantee Submission, 2022
Many national science frameworks (e.g., Next Generation Science Standards) argue that developing mathematical modeling competencies is critical for students' deep understanding of science. However, science teachers may be unprepared to assess these competencies. We are addressing this need by developing virtual lab performance assessments that…
Descriptors: Mathematical Models, Intelligent Tutoring Systems, Performance Based Assessment, Data Collection
Susan Rodrigues; Neil Taylor; Margaret Cameron; Lorraine Syme-Smith; Colette Fortuna – Science Education International, 2010
This paper reports on data collected via an audience response system, where a convenience sample of 300 adults aged 17-50 pressed a button to register their answers for twenty multiple choice questions. The responses were then discussed with the respondents at the time. The original dataset includes physics, biology and chemistry questions. The…
Descriptors: Audience Response, International Studies, Familiarity, Chemistry
Taylor, John F. – Programmed Learning and Educational Technology, 1982
The development of a low cost input system is discussed in terms of the appropriateness of imposing program-controlled answering strategies on candidates attempting a conventional multiple choice objective question achievement test. Systems used for the management of learning and strategies students use to answer tests are highlighted. (Author/EJS)
Descriptors: Computer Assisted Testing, Computer Managed Instruction, Computer Programs, Data Collection

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