ALL PROBLEMS ARE NOT EQUAL: IMPLICATIONS FOR PROBLEM-BASED LEARNING
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?
STEM disciplines have traditionally relied on well-defined problems in homework assignments and exams to develop and assess student conceptual understanding and problem-solving competency.
“These disciplines have traditionally relied on well-defined problems in homework assignments and exams to develop and assess student conceptual understanding and problem-solving competency (Jonassen and Hung, 2015; Montgomery et al, 2024).”
From Scaffold or Crutch? Examining College Students' Use and Views of Generative AI Tools for STEM Education (2025) · cites this paper as Jonassen and Hung, 2015
Cited by
Sorted by citations
Ding, A.-C. E., Shi, L., Yang, H., & Choi, I. (2024) · Computers and Education Open · doi:10.1016/j.caeo.2024.100178 · Cited by 228 · see citing works
Wang, K. D., Wu, Z., Tufts, L., Wieman, C., Salehi, S., & Haber, N. (2025) · 2025 IEEE Global Engineering Education Conference (EDUCON) · doi:10.1109/educon62633.2025.11016406 · Cited by 28 · see citing works
- Authors
- Jonassen, D. H., & Hung, W.
- ORCID
- Woei Hung
- Venue
- Essential Readings in Problem-Based Learning
- Publisher
- Purdue University Press
- Published
- 2015-01-15
- Pages
- 17-42
- OpenAlex
- W4235315268
- Cited by
- 41
- References
- 0
- Citations by year
- 2026: 2 · 2025: 7 · 2024: 7 · 2023: 4 · 2022: 5 · 2021: 5 · 2020: 4 · 2019: 2 · 2018: 4 · 2017: 1
- FWCI
- 11.34
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Purdue University Press eBooks (publishedVersion)
- Funders
- Division of Computer and Network Systems
- Topics
- Health Sciences › Health Professions › Speech and Hearing › Problem Solving Skills Development
- Social Sciences › General Social Sciences › Philosophical Thought and Analysis
- Social Sciences › Safety Research › Social Issues and Policies
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 ›
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