Track interactional resources across levels as a research approach for CSCL¶

Strategy · All strategies
Evidence · no claims cited

Description¶

The article recommends that CSCL research generate, compile and analyze data shedding light on relationships across levels of analysis, with tracking interactional resources as one suggestive approach. It states 'The idea of tracking interactional resources as they mediate across levels offers one suggestive approach,' and offers resources as a candidate boundary object for discussion across competing theoretical approaches rather than defending one tack.

Design Implications¶

Context¶

Requirements¶

• Data-based analyses connecting individual, small-group and community units rather than studying a single unit in isolation

Constraints¶

• The article notes multiple-method approaches, multi-level statistics and multi-vocal analyses are limited because they do not explicitly address interrelationships among levels

Target Learners¶

• CSCL researchers and designers of collaborative learning environments

Target Learning Goals¶

• understanding and orchestrating learning across individual, group and community levels

Related Strategies¶

• Use fine-grained observation of real-time teacher and student behavior in video-guided coaching to analyze interactional fit
• Integrate physiological, dialog, video, and self-report data to analyze collaboration at individual and group levels

Examples¶

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Key Sources¶

• Gerry Stahl. (2013). Learning across levels. Computer-Supported Collaborative Learning, 8, 1–12. https://doi.org/10.1007/s11412-013-9169-0