Pair movement-based analysis with temporal analysis and discuss camera intrusiveness when collecting detailed data¶

Strategy · All strategies
Evidence · no claims cited

Description¶

The editors recommend extensions to movement-based analytic work: "temporal analysis would also be useful since participation can change over time and this will have implications for redesign." They also advise researchers to weigh detail against intrusiveness: "as researchers, we often need detailed data, while ensuring that the tools we use do not become too intrusive for the participants."

Design Implications¶

Context¶

Requirements¶

• Analytic designs must consider that participation can change over time, supporting redesign implications.

Constraints¶

• Ethical concerns should be discussed when collecting data with small cameras, such as those worn on a necklace.

Target Learners¶

• Museum visitors and other collaborative-learning participants studied in situ

Target Learning Goals¶

• Understanding participation changes over time for redesign of learning settings

Related Strategies¶

• During a study, researchers should visit regularly, give back to the school community, minimize classroom disruption, and share initial data for feedback

Examples¶

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Key Sources¶

• Ludvigsen, S., Cress, U., Law, N., Stahl, G., & Rosé, C. P. (2017). Future direction for the CSCL field: Methodologies and eight controversies. International Journal of Computer-Supported Collaborative Learning, 12, 337–341. https://doi.org/10.1007/s11412-017-9268-4