towards feasible instructor intervention in mooc

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Towards Feasible Instructor Intervention in MOOC Discussion Forums Muthu Kumar Chandrasekaran, Kiruthika Ragupathi, Min-Yen Kan, Bernard C.Y. Tan National University of Singapore Why instructor should intervene? Peer learning aided by instructor feedback has been shown to foster learning better than lectures. An instructor’s skillful facilitation of a threaded discussion can promote students’ critical thought , as well as construct new knowledge (Trufant, 2003). It brings in new material periodically to freshen up the discussion, provokes and instigates controversy, replaces missing cues by contextualizing establishing general topicality. It also weaves together recently posted ideas salient to the discussion. Problem: We propose to study interventions and its types in MOOC forums to enable instructors to intervene strategically to maximise peer learning and efficiently use their bandwidth. Our proposed taxonomy for annotating posts Applications Data: Discussion threads from Coursera Machine learning the sequence Peer Interventions Instructor Interventions Feedback Request Justification Request Paraphrase Extension Juxtaposition Reasoning Critique Refinement Integration / Summing up Clarification Completion Post sequence Label sequence Instructor‘s post 1 st Post 3 rd Post 2 nd Post Dashboards for instructors to display forum threads ranked by an automated triage. Dashboards will also enable to gauge student learning due to forum discussions. A prescription for intervention in MOOC forums. A conditional random field model to learn the discourse sequence

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Towards Feasible Instructor Intervention in MOOC

Discussion Forums Muthu Kumar Chandrasekaran, Kiruthika Ragupathi, Min-Yen Kan, Bernard C.Y. Tan

National University of Singapore

Why instructor should intervene?

• Peer learning aided by instructor feedback has been shown to foster learning better than lectures.

• An instructor’s skillful facilitation of a threaded discussion can promote students’ critical thought, as well

as construct new knowledge (Trufant, 2003).

• It brings in new material periodically to freshen up the discussion, provokes and instigates controversy,

replaces missing cues by contextualizing establishing general topicality.

• It also weaves together recently posted ideas salient to the discussion.

Problem: We propose to study interventions and its types in MOOC forums to enable instructors to

intervene strategically to maximise peer learning and efficiently use their bandwidth.

Our proposed taxonomy for annotating posts

Applications

Data: Discussion threads from Coursera

Machine learning the sequence

Peer Interventions Instructor Interventions

Feedback Request Justification Request

Paraphrase Extension

Juxtaposition Reasoning Critique

Refinement Integration / Summing up

Clarification Completion

Post sequence

Label sequence

Instructor‘s

post

1st

Post

3rd

Post

2nd

Post

• Dashboards for instructors to display forum threads

ranked by an automated triage.

• Dashboards will also enable to gauge

student learning due to forum discussions.

• A prescription for intervention in

MOOC forums. A conditional random field model to learn the discourse sequence