Modeling Metacognitive and Cognitive Processes in Data Science Problem Solving (Student Abstract)

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dc.contributor.authorAlomair, Maryam
dc.contributor.authorPan, Shimei
dc.contributor.authorChen, Lujie Karen
dc.date.accessioned2024-02-26T22:39:20Z
dc.date.available2024-02-26T22:39:20Z
dc.date.issued2023-09-06
dc.descriptionThe Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23)
dc.description.abstractData Science (DS) is an interdisciplinary topic that is applicable to many domains. In this preliminary investigation, we use caselet, a mini-version of a case study, as a learning tool to allow students to practice data science problem solving (DSPS). Using a dataset collected from a real-world classroom, we performed correlation analysis to reveal the structure of cognition and metacognition processes. We also explored the similarity of different DS knowledge components based on students’ performance. In addition, we built a predictive model to characterize the relationship between metacognition, cognition, and learning gain.
dc.description.urihttps://ojs.aaai.org/index.php/AAAI/article/view/26936
dc.format.extent2 pages
dc.genreconference papers and proceedings
dc.genrejournal articles
dc.identifierdoi:10.13016/m28rw0-ystq
dc.identifier.citationAlomair, Maryam, Shimei Pan, and Lujie Karen Chen. 2023. “Modeling Metacognitive and Cognitive Processes in Data Science Problem Solving (Student Abstract)”. Proceedings of the AAAI Conference on Artificial Intelligence 37 (13):16152-53. https://doi.org/10.1609/aaai.v37i13.26936.
dc.identifier.urihttps://doi.org/10.1609/aaai.v37i13.26936
dc.identifier.urihttp://hdl.handle.net/11603/31699
dc.publisherAAAI
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Information Systems Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectEducational Data Mining
dc.subjectLearning Analytics
dc.subjectProblem Solving
dc.subjectMetacognition
dc.subjectCognition
dc.titleModeling Metacognitive and Cognitive Processes in Data Science Problem Solving (Student Abstract)
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0002-5989-8543
dcterms.creatorhttps://orcid.org/0000-0002-7185-8405

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