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Refining the opportunity to learn construct through the Productive Disciplinary Engagement framework

Bibliographic Data

ID21485071
AuthorsYann Shiou Ong (0000-0002-6092-2803, Natural Science and Science Education, National Institute of Education, Nanyang Technological University, Singapore), Y-J Lee (0000-0002-3286-2778, Natural Science and Science Education, National Institute of Education, Nanyang Technological University, Singapore, corresponding author), Miechie Leowardy (0009-0006-6809-0606, Natural Science and Science Education, National Institute of Education, Nanyang Technological University, Singapore)
Year2024
Volume44
Issue3
Pages582-596
Publication date2024-07-02
Open AccessNo
TypeARTICLE
VenueAsia Pacific Journal of Education (JOURNAL)
Journal identifiersISSN: 0218-8791 • E-ISSN: 1742-6855
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/02188791.2024.2390665
OpenAlexW4403280120
LanguageEN
Citations received1
References cited30

Opportunity to learn (OTL) is a ubiquitous measure of the likelihood of learning in educational research, which typically has been characterized by three dimensions: time, coverage of content, and quality of instruction. The last dimension has been defined in highly divergent ways, which gives it a double-edged nature. While it may be operationalized to better serve a specific problem or context, it also makes it harder to achieve consensus or derive broader implications across studies. Using the four design principles from the Productive Disciplinary Engagement (PDE) framework, we show how PDE can characterize the quality of instruction dimension in OTL that reflects contemporary understandings of the end-goals of science education i.e. learning science as practice. This revision is valuable for science educators and evaluators who rely on OTL measures for it helps them: i) evaluate the quality of instruction consistent with reformed science teaching in valid and reliable ways, and ii) address questions about the adequacy of content coverage in the subject. We exemplify analysis using this refined OTL model with a case study of middle-school learners in Singapore engaged in the challenging scientific practice of argumentation

Discipline · Knowledge management · Social science · Sociology · Chemistry · Computer Science · Digestive system and related health · Education and Critical Thinking Development · Psychology

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Citations per year1
Citation span2026 - 2026 (1)
Highly citedNo

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