The SAGE Encyclopedia of Educational Research, Measurement, and Evaluation
Abstract
In an era of curricular changes and experiments and high-stakes testing, educational measurement and evaluation is more important than ever. In addition to expected entries covering the basics of traditional theories and methods, other entries discuss important sociopolitical issues and trends influencing the future of that research and practice. Textbooks, handbooks, monographs and other publications focus on various aspects of educational research, measurement and evaluation, but to date, there exists no major reference guide for students new to the field. This comprehensive work fills that gap, covering traditional areas while pointing the way to future developments
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?
According to the epistemology of constructivism, human beings are not passive receivers of knowledge; they interact with it and link it to already available information, therefore being active construers of reality.
“According to the epistemology of constructivism, human beings are not passive receivers of knowledge; they interact with it and link it to the already available information, therefore being active construers of reality (Frey 2018).”
Cited by
Sorted by citations
Collaborative construction of artificial intelligence curriculum in primary schools
Dai, Y., Liu, A., Qin, J., Guo, Y., Jong, M. S., Chai, C., & Lin, Z. (2023) · Journal of Engineering Education · doi:10.1002/jee.20503 · Cited by 96 · see citing works
Measuring Learner Satisfaction of an Adaptive Learning System
Lim, L., Lim, S. H., & Lim, R. W. Y. (2022) · Behavioral Sciences · doi:10.3390/bs12080264 · Cited by 37 · see citing works
“Feels Good to Get Wet”: The Unique Affordances of Surf Therapy Among Australian Youth
McKenzie, R. J., Chambers, T. P., Nicholson-Perry, K., Pilgrim, J., & Ward, P. B. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.721238 · Cited by 29 · see citing works
Five Motivating Concerns for <scp>AI</scp> Ethics Instruction
Knowles, M. A. (2021) · Proceedings of the Association for Information Science and Technology · doi:10.1002/pra2.481 · Cited by 14 · see citing works
Jach, Ł., & Krystoń, S. (2021) · PeerJ · doi:10.7717/peerj.12047 · Cited by 13 · see citing works
Artificial Intelligence to improve learning outcomes through online collaborative activities
Nalli, G., Amendola, D., & Smith, S. (2022) · European Conference on e-Learning · doi:10.34190/ecel.21.1.661 · Cited by 12 · see citing works
Kerwer, M., Jonas, M., Stoll, M., Benz, G., & Chasiotis, A. (2025) · Zeitschrift für Psychologie · doi:10.1027/2151-2604/a000570 · Cited by 5 · see citing works
Chapter 1: Problem-based learning: A 21st-century teaching and learning strategy
Research Unit Self-Directed Learning, F. O. E., Golightly, A., Sebatana, M. J., & School of Mathematics, S. A. T. E. (2023) · NWU Self-Directed Learning Series · doi:10.4102/aosis.2023.bk409.01 · Cited by 1 · see citing works
- Authors
- Frey, B. B.
- Corresponding author
- Frey, Bruce B.
- ORCID
- Frey, Bruce B.
- Venue
- Sage eBooks
- Publisher
- SAGE Publications, Inc.
- Published
- 2018
- OpenAlex
- W2794015279
- Cited by
- 1,471
- References
- 0
- Citations by year
- 2026: 55 · 2025: 133 · 2024: 230 · 2023: 287 · 2022: 328 · 2021: 274 · 2020: 120 · 2019: 34 · 2018: 7 · 2017: 2 · 2012: 1
- Type
- reference entry
- Language
- en
- Open access
- closed
- Locations
- Sage eBooks (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Education › Educational Assessment and Pedagogy
- Social Sciences › Education › Educational Research and Methods
- Keywords
- educational research, educational testing, educational assessment, high-stakes testing, curriculum change, reference guide
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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