Process versus Product: A Perspective on Tools for Communal and Informal Electronic Learning
Abstract
This article explores new paradigms for the use of computers in learning. Two concepts crucial to the development of qualitatively new kinds of computer-based learning environments are identified: the importance of focusing on the underlying process rather than just the product of a creative effort; and the importance of the computer's ability to record, represent and communicate that underlying process. We discuss the cognitive, pedagogical, and sociological issues relevant to the creation of learning environments in five domains, along with examples of specific possibilities in each: 1) Empowering environments. How can we design computer-based tools that both promote creativity and aid the development of artistic discipline? 2) Games. How can the motivational aspects of arcade-style games be transferred to more fertile learning environments? 3) Communication. How can we break away from the fundamentally linear structuring of ideas necessary in print-based communication and create tools to aid the representation and comprehension of nonlinear ideas and arguments? 4) Writing. How can we create tools to help authors move from the chaos of pre-articulate ideas to the order of a polished document? 5) Education. How can we create a computer-based system that “mirrors” students' thought processes, helping them to reflect on those processes and thereby to improve their metacognitive skills?
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?
General skills can be an instructional emphasis, but they must be learned through content-driven examples.
“Thus, it appears that general skills can be an instructional emphasis, but that they must be learned through content-driven examples (cf. A. L. Brown, 1985; Glaser, 1984).”
From Beyond Amplification: Using the computer to Reorganize Mental Functioning (1985) · cites this paper as A. L. Brown, 1985
Cited by
Sorted by citations
Beyond Amplification: Using the computer to Reorganize Mental Functioning
Pea, R. D. (1985) · Educational Psychologist · doi:10.1207/s15326985ep2004_2 · Cited by 556 · see citing works
The Effects of Operator Implementation Cost on Planfulness of Problem Solving and Learning
O'Hara, K. P., & Payne, S. J. (1998) · Cognitive Psychology · doi:10.1006/cogp.1997.0676 · Cited by 155 · see citing works
- Authors
- Brown, J. S.
- Affiliations
- Palo Alto Research Center (US)
- Corresponding author
- Brown, John Seely
- ORCID
- Brown, John Seely
- Venue
- Journal of Educational Computing Research
- Publisher
- SAGE Publications
- Published
- 1985-05
- Volume
- 1
- Issue
- 2
- Pages
- 179-201
- ISSN
- 0735-6331 (ISSN-L)
- 1541-4140
- OpenAlex
- W2078541042
- Cited by
- 116
- References
- 0
- Citations by year
- 2025: 1 · 2023: 1 · 2021: 1 · 2016: 1 · 2013: 1 · 2012: 1
- FWCI
- 17.45
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Educational Computing Research (publishedVersion)
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Physical Sciences › Computer Science › Information Systems › Educational Technology in Learning
- Physical Sciences › Computer Science › Information Systems › Educational Technology and E-Learning
- Keywords
- computer-based learning environments, process versus product, creative process, computer-supported collaborative learning, informal learning, game-based learning, writing support tools, metacognition, reflective thinking, creativity, sociocultural perspective on learning
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