The Problem of Constructive Misalignment in International Business Education: A Three-Stage Integrated Approach to Enhancing Teaching and Learning
Abstract
Past evidence suggests that constructive misalignment is particularly problematic in International Business (IB) education, though this paradigm has received limited research attention. Building on the literature of three independent teaching methods (threshold concept, problem-based learning, and technology-based learning), this study contributes to the IB education literature by integrating the three existing methods in a co-complementary and co-supporting manner, and carefully implementing them across three subsequent stages spanning across the length of the IB course. Empirical evidence on student satisfaction and assessment performance shows its usefulness in reducing the negative effects of constructive misalignment among the sampled students. The approach provides practitioners with refreshed insights into how the three independent methods can be integrated to create greater value for learners.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Work at Aalto University's International Design Business Management program reveals the difficulty of aligning curriculum design with learning outcomes, due to different interpretations of course coverage by faculty and students.
“Work at Aalto University's International Design Business Management program reveals the difficulty of aligning curriculum design with learning outcomes, due to different interpretations of course coverage by faculty and students [2, 48].”
From Generative AI-Powered Educational Alignment: A Framework for Matching Syllabus Course Topics with Web Description (2024) · cites this paper as [48]
Cites
Situated Cognition and the Culture of Learning
Brown, J. S., Collins, A., & Duguid, P. (1989) · Educational Researcher · doi:10.3102/0013189x018001032 · Cited by 13,645 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Liu, L., Mendoza, R. A., Martin, T. R., & Miori, V. M. (2024) · Proceedings of the 2024 9th International Conference on Distance Education and Learning · doi:10.1145/3675812.3675874 · Cited by 4 · see citing works
- Authors
- Zhao, S.
- Affiliations
- Middlesex University London (GB)
- Corresponding author
- Zhao, Shasha
- ORCID
- Zhao, Shasha
- Venue
- Journal of Teaching in International Business
- Publisher
- Informa UK Limited
- Published
- 2016-10
- Volume
- 27
- Issue
- 4
- Pages
- 179-196
- ISSN
- 0897-5930 (ISSN-L)
- 1528-6991
- OpenAlex
- W2601552096
- Cited by
- 10
- References
- 1
- Citations by year
- 2025: 1 · 2024: 2 · 2022: 1 · 2021: 1 · 2019: 2 · 2018: 3
- FWCI
- 3.23
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Teaching in International Business (publishedVersion)
- Middlesex University Research Repository (Middlesex University Of London) (acceptedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Management and Marketing Education
- Social Sciences › Education › Evaluation of Teaching Practices
- Social Sciences › Education › Educational Assessment and Pedagogy
- Keywords
- international business education, threshold concepts, problem-based learning, technology-based learning, student satisfaction, assessment performance, curriculum development
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review