Student Peer-Led Discussion in Real-Time Evaluation of Introductory Statistics Teaching

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Bibliographic Details
Title: Student Peer-Led Discussion in Real-Time Evaluation of Introductory Statistics Teaching
Language: English
Authors: A. F. M. Saiful Islam (ORCID 0000-0002-3855-9307), Tim M. Young
Source: Teaching Statistics: An International Journal for Teachers. 2026 48(1):S89-S96.
Availability: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Peer Reviewed: Y
Page Count: 8
Publication Date: 2026
Document Type: Journal Articles
Reports - Research
Tests/Questionnaires
Education Level: Higher Education
Postsecondary Education
Descriptors: Statistics Education, Introductory Courses, Group Discussion, Graduate Students, Foreign Countries, Masters Programs, Informal Education, Feedback (Response), Learner Engagement, Student Satisfaction, Scores, Units of Study
Geographic Terms: United Kingdom
DOI: 10.1002/test.70024
ISSN: 0141-982X
1467-9639
Abstract: Introductory statistics courses, prevalent in higher education, face challenges in collecting and applying student evaluations within their short duration, especially for diverse Master of Science cohorts with varied subject backgrounds. UK guidance on teaching graduate students introductory statistics prioritizes assessment and feedback over real-time teaching evaluation implementation. To address this, 120 graduate Master of Science students in an introductory statistics module participated in a novel evaluation process. Student representatives gathered teaching feedback from peers in an informal post-lecture setting with pizza, fostering a relaxed environment. This feedback was promptly relayed to the introductory statistics module educators, enabling them to adjust lectures for the same cohort. Compared to the previous academic year, this approach enhanced student engagement, satisfaction, and end-of-module scores. Real-time evaluation significantly improved teaching effectiveness for 95% of module lecturers, offering a practical method to incorporate student feedback within a single course cycle, benefiting educators and diverse graduate students in mastering statistics.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1505791
Database: ERIC
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  Data: <searchLink fieldCode="AR" term="%22A%2E+F%2E+M%2E+Saiful+Islam%22">A. F. M. Saiful Islam</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-3855-9307">0000-0002-3855-9307</externalLink>)<br /><searchLink fieldCode="AR" term="%22Tim+M%2E+Young%22">Tim M. Young</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22Teaching+Statistics%3A+An+International+Journal+for+Teachers%22"><i>Teaching Statistics: An International Journal for Teachers</i></searchLink>. 2026 48(1):S89-S96.
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  Data: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
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  Data: 10.1002/test.70024
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  Data: Introductory statistics courses, prevalent in higher education, face challenges in collecting and applying student evaluations within their short duration, especially for diverse Master of Science cohorts with varied subject backgrounds. UK guidance on teaching graduate students introductory statistics prioritizes assessment and feedback over real-time teaching evaluation implementation. To address this, 120 graduate Master of Science students in an introductory statistics module participated in a novel evaluation process. Student representatives gathered teaching feedback from peers in an informal post-lecture setting with pizza, fostering a relaxed environment. This feedback was promptly relayed to the introductory statistics module educators, enabling them to adjust lectures for the same cohort. Compared to the previous academic year, this approach enhanced student engagement, satisfaction, and end-of-module scores. Real-time evaluation significantly improved teaching effectiveness for 95% of module lecturers, offering a practical method to incorporate student feedback within a single course cycle, benefiting educators and diverse graduate students in mastering statistics.
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        StartPage: S89
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