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High school students’ agentic responses to modeling during problem-based learning

Bibliographic Data

ID21348396
AuthorsBrian R Belland (0000-0002-8925-9152, Department of Educational Psychology, Counseling and Special Education, The Pennsylvania State University, University Park, PA, USA, corresponding author), D Mark Weiss (CM Harbor, LLC), Nam Ju Kim (0000-0001-6288-3732, Department of Teaching and Learning, the University of Miami, Coral Gables, FL, USA)
Year2020
Volume113
Issue5
Pages374-383
Publication date2020-08-03
Open AccessYes
TypeARTICLE
VenueThe Journal of Educational Research (JOURNAL)
Journal identifiersISSN: 0022-0671 • E-ISSN: 1940-0675
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/00220671.2020.1838407
OpenAlexW3096285241
LanguageEN
Citations received4
References cited44

Strong information literacy, collaboration, and argumentation skills are essential to success in problem-based learning (PBL), and computer-based scaffolding plays a key role in helping students enhance these skills. As students search for information, identify root causes, and propose problem solutions, they are faced with choosing among alternatives that result in enhanced or diminished skill development. In this qualitative study, we use the agentic perspective of Bandura’s social cognitive theory to examine how students’ choices illuminate their priorities, values and perspectives with respect to PBL inquiry. Results indicate that when seeking evidence to support claims in a PBL setting, given the choice between teacher-provided resources and their own research, students choose teacher-provided resources. This supports Barrows’ original assertion about PBL that students are more likely to develop important skills like information literacy, self-directed learning, and problem solving when instructors refrain from providing domain specific knowledge prior to PBL activities

Argumentation theory · Assertion · Cognition · Information literacy · Mathematics education · Pedagogy · Perspective (graphical) · Problem-based learning · Computer Science · Innovative Teaching and Learning Methods · Online and Blended Learning · Problem and Project Based Learning · Psychology

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Citations per year1
Citation span2022 - 2026 (5)
Highly citedNo

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