An Automated Feedback System Based on Adaptive Testing: Extending the Model
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Abstractâ??The results of the recent national students survey (NSS) revealed that a major problem in HE today is that of student feedback. Research carried out by members of the project team in the past has led to the development of an automated student feedback system for use with objective formative testing. This software relies on an â??intelligentâ?? engine to determine the most appropriate individual feedback, based on test performance, relating not only to answers, but also to Bloomâ??s cognitive levels. The system also recommends additional materials and challenges, for each individual learner. Detailed evaluation with more than 500 students and 100 university staff have shown that the system is highly valued by learners and seen by staff as an important addition to the methods available. The software has been used on two modules so far over a two year period
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The automated feedback system based on adaptive testing reported by Barker (2010) not only determines the most appropriate individual answers according to Bloom's cognitive levels, but also recommends additional materials and challenges.
“The automated feedback system based on adaptive testing reported by Barker (2010), for example, not only determines the most appropriate individual answers according to Bloom's cognitive levels, but also recommends additional materials and challenges.”
From Systematic review of research on artificial intelligence applications in higher education – where are the educators? (2019) · cites this paper as Barker (2010)
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- Authors
- Barker, T.
- Affiliations
- University of Hertfordshire (GB)
- Corresponding author
- Barker, Trevor
- ORCID
- Barker, Trevor
- Venue
- International Journal of Emerging Technologies in Learning (iJET)
- Published
- 2010-06-02
- Volume
- 5
- Issue
- 2
- Pages
- 11
- ISSN
- 1863-0383 (ISSN-L)
- OpenAlex
- W2115462298
- Cited by
- 21
- References
- 10
- Citations by year
- 2025: 1 · 2024: 3 · 2023: 3 · 2021: 3 · 2020: 2 · 2019: 2 · 2014: 1 · 2012: 2
- FWCI
- 2.03
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- International Journal of Emerging Technologies in Learning (iJET) (publishedVersion, cc-by)
- University of Hertfordshire Research Archive (University of Hertfordshire) (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- University of Hertfordshire Research Archive (University of Hertfordshire) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Physical Sciences › Computer Science › Information Systems › Educational Technology and Assessment
- Social Sciences › Education › Student Assessment and Feedback
- Keywords
- adaptive testing, formative assessment, Bloom's taxonomy, intelligent tutoring systems, personalized learning recommendations, higher education, student feedback, National Student Survey
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