Lag-sequential Analysis reveals temporal ordering patterns in CSCL interaction that traditional coding-and-counting approaches hide¶

Claim · All claims
Evidence · 1 study · review r1 · q2
Currency · newest study 2011 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Kapur's LsA temporal analysis revealed which groups ordered their problem-solving moves more effectively, findings that would be lost to coding-and-counting approaches that aggregate events and hide ordering. → Gerry Stahl & Friedrich Hesse 2011

Evidence¶

Gerry Stahl & Friedrich Hesse 2011¶

Gerry Stahl & Friedrich Hesse. (2011). CSCL in Asia. Computer-Supported Collaborative Learning 6:1–7. https://doi.org/10.1007/s11412-011-9112-1

q2 · i? · review · r1

In an illustrative study of students in India, Manu Kapur applied Lag-sequential Analysis, a statistical technique yielding transition probabilities that one category of event will follow another, similar to Hidden Markov Modeling.

"Kapur 's LsA temporal analysis revealed which groups ordered their problem-solving moves more effectively , providing insight into desirable group knowledge-building processes."

Discussion¶

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