Engage, Reflect, Improve: Enhancing Statistical Consulting Courses with AI Simulations.
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| Title: | Engage, Reflect, Improve: Enhancing Statistical Consulting Courses with AI Simulations. |
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| Authors: | Guerrero, Matheus Bartolo1,2, Le, Sunny Nguyet3, Jaynes, Jessica3 |
| Source: | Ohio Journal of School Mathematics. Summer2026, Vol. 103, p1-24. 24p. |
| Subject Terms: | *Student engagement, *Graduate education, *Ethical problems, Simulation methods & models, Professional practice, Statistical services, Justification (Theory of knowledge) |
| Abstract: | This paper describes an AI-infused simulation designed to enhance graduate-level statistical consulting education by bridging theoretical learning with realistic professional practice. Piloted in a master's-level capstone course, the simulation engaged students in consultations with an AI client, requiring them to practice communication, problem framing, methodological justification, and decision-making under authentic conditions. Evidence drawn from interaction transcripts and student reflections showed growth in consulting skills and technical confidence, alongside challenges such as an overly knowledgeable AI client, conversational limitations, and ethical questions raised by participants. The paper details the simulation's structure, instructional integration, and evaluation, offering a model that can be adapted across graduate statistics curricula to strengthen students' preparation for professional practice. [ABSTRACT FROM AUTHOR] |
| Copyright of Ohio Journal of School Mathematics is the property of Ohio Council of Teachers of Mathematics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 194541059 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=194541059 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 1 Subjects: – SubjectFull: Student engagement Type: general – SubjectFull: Graduate education Type: general – SubjectFull: Ethical problems Type: general – SubjectFull: Simulation methods & models Type: general – SubjectFull: Professional practice Type: general – SubjectFull: Statistical services Type: general – SubjectFull: Justification (Theory of knowledge) Type: general Titles: – TitleFull: Engage, Reflect, Improve: Enhancing Statistical Consulting Courses with AI Simulations. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Guerrero, Matheus Bartolo – PersonEntity: Name: NameFull: Le, Sunny Nguyet – PersonEntity: Name: NameFull: Jaynes, Jessica IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Summer2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 24725986 Numbering: – Type: volume Value: 103 Titles: – TitleFull: Ohio Journal of School Mathematics Type: main |
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