ERIC Number: EJ1267342
Record Type: Journal
Publication Date: 2020-Sep
Pages: 18
Abstractor: As Provided
ISBN: N/A
ISSN: EISSN-1931-7913
EISSN: N/A
Available Date: N/A
Learning Analytics to Assess Beliefs about Science: Evolution of Expertise as Seen through Biological Inquiry
Peffer, Melanie E.; Ramezani, Niloofar; Quigley, David; Royse, Emily; Bruce, Chloe
CBE - Life Sciences Education, v19 n3 Article 47 Sep 2020
Epistemological beliefs about science (EBAS) or beliefs about the nature of science knowledge, and how that knowledge is generated during inquiry, are an essential yet difficult to assess component of science literacy. Leveraging learning analytics to capture and analyze student practices in simulated or game-based authentic science activities is a potential avenue for assessing EBAS. Our previous work characterized inquiry practices of experts and novices engaged in simulated authentic science inquiry and suggested that practices may reflect EBAS. Here, we extend our prior qualitative work to quantitatively examine differences in practices and EBAS between non-science majors, biology majors, and biology graduates. We observed that inquiry practices of non-science majors and biology graduates were similar to the novice and expert practices, respectively, in our prior work. However, biology majors sometimes appeared to act like their undergraduate peers (e.g., performing fewer planning actions) but other times were more similar to biology graduates (e.g., performing complex investigations). We noted that cognitive constructs like metacognition were also important for understanding which practices were most likely to be reflective of EBAS. This work advances how to assess EBAS using learning analytics and raises questions regarding the development of cognitive processes like EBAS among aspiring biologists.
Descriptors: Learning Analytics, Beliefs, Scientific Principles, Inquiry, Scientific Literacy, Biology, Majors (Students), College Graduates, Research Universities, Graduate Students, Undergraduate Students, Goal Orientation, Self Efficacy, Test Anxiety, Self Management, Computer Simulation, Student Motivation, Questionnaires, Learning Strategies, Cognitive Processes
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
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Authoring Institution: N/A
Identifiers - Assessments and Surveys: Motivated Strategies for Learning Questionnaire
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