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3 references
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- Vol 3 RE: Chapters 5, 9
- Vol 7 RE: Chapter 5, App B
computer-supported collaborative learningscience, technology, engineering, and mathematics educationcollaborative knowledge constructioninstructional scaffoldinggroup processeslearning outcomesJournal article Evidence summaryAt a glance
Jeong, Hmelo-Silver, and Jo meta-analyse computer-supported collaborative learning in STEM education published from 2005 through 2014. The review codes studies across science, mathematics, engineering, computer science, health, and education-related domains and examines learning outcomes alongside instructional, technological, and contextual characteristics.
Key ideas
Overall, CSCL produces a positive moderate effect, with variation across designs and settings. The authors investigate how collaboration is structured, what technologies mediate activity, which supports are provided, and whether studies occur in classrooms, laboratories, or other environments. Classroom effects are not significantly different from other settings in the reported comparison, underscoring that location alone does not explain success. Technology is not treated as an independent causal ingredient: outcomes depend on tasks, group processes, pedagogy, scaffolds, and how tools enable interaction and shared knowledge construction.
Why it matters
The synthesis is bounded by the quality and reporting of included studies and by heterogeneity in interventions and measures. Its practical implication is to design the collaborative process deliberately rather than assume that placing learners together around digital tools will produce effective STEM learning.
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- Vol 5 RE: App D
computer-supported collaborative learningpowerful learning environmentsdistributed cognitionsociocultural theoryknowledge buildingcollaborative regulationshared workspacesinstructional scaffoldingBook chapter Evidence summaryAt a glance
Lehtinen reviews computer-supported collaborative learning as an approach to constructing powerful learning environments. He rejects assumptions that computers improve education simply by delivering information more efficiently or supporting an isolated “solo learner.” From sociocultural and distributed-cognition perspectives, learning is participation in shared intellectual activity in which people use language, representations, tools, and one another’s expertise.
Key ideas
Collaboration can prompt explanation, argument, perspective-taking, mutual regulation, and the externalization of incomplete ideas, but productive interaction does not arise automatically from placing learners in groups. Tasks must be sufficiently complex and interdependent, participants need relevant knowledge and collaborative norms, and technologies must make thinking and communication visible without imposing unnecessary barriers. The chapter surveys synchronous and asynchronous environments, shared workspaces, knowledge-building systems, and forms of scaffolding that support coordination and inquiry. It also notes uneven empirical results caused by differences in task design, group composition, guidance, and measures of learning.
Why it matters
The central implication is that technology should be designed as part of a social and pedagogical system, with teachers structuring goals, discourse, resources, and support for genuine joint knowledge construction.
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- Vol 3 TE: App C
computer-supported collaborative learningsociocultural learningdistributed cognitioncollaborative knowledge buildingshared meaning-makingsocial interactioninteraction analysiscommunity normsConference paper Evidence summaryAt a glance
Lipponen reviews the emerging foundations of computer-supported collaborative learning (CSCL) six years after it was identified as a distinct educational-technology paradigm. The paper argues that CSCL should not be reduced to placing learners together around networked tools.
Key ideas
Its central concern is how technology can support social interaction, shared meaning-making, and the construction of knowledge within a community. Lipponen surveys theoretical roots in sociocultural learning, distributed cognition, and collaborative knowledge building, then examines recurring empirical and methodological difficulties. These include defining genuine collaboration, analysing interaction at both individual and group levels, and connecting the affordances of software with pedagogical practices. The review also distinguishes cooperation, in which work may be divided, from collaboration involving sustained joint engagement.
Why it matters
For educators and designers, the main implication is that productive CSCL depends on deliberately structured tasks, discourse, participation, and community norms; technology provides conditions for collaboration but does not itself create it.
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Edition abbreviations
- TE
- Teacher Edition
- PE
- Practice Edition
- RE
- Research Edition
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