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Chat-based dyad activities with a conversational agent and learning analytics dashboard in a MOOC

Design · All designs
Evidence · 1 claim (1 for) · 1 study (1 causal), q3 · 0 of 1 report an effect size · 1 claim rests on one study

Description

A MOOC component combining weekly chat-based collaborative activities in which students "collaborate in dyads to submit a joint answer as a team" with a conversational agent (TIM) that injects prompts during peer discussion, plus a learning analytics module showing individual, partner, and cross-group performance graphs. Students can compare their metrics with peers and decide whether to change learning strategy; interactions with the LA module are logged.

Design Implications

Context

Requirements

  • Students work in dyads with a joint reward (an activity grade); pairing is first-come-first-served and supported by scheduled timeslots and a course forum for pairing requests

Constraints

  • Some students were unable to find a partner for chat activities, and completion required participation coefficient incentives rather than compulsory collaboration

Target Learners

  • Online MOOC learners, in this case novices learning Python and algorithmic thinking

Learning Goals

  • Productive peer dialogue, individual and group awareness, and improved learning outcomes in introductory programming

Claims

Examples

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Key Sources

  • Psathas, G., Tegos, S., Demetriadis, S. N., & Tsiatsos, T. (2023). Exploring the impact of chat-based collaborative activities and SRL-focused interventions on students’ self-regulation profiles, participation in collaborative activities, retention, and learning in MOOCs. Intern. J. Comput.-Support. Collab. Learn 18:329–351. https://doi.org/10.1007/s11412-023-09394-0
Page metadata
Field Value
type design
id chat-dyad-agent-lamooc-collab-element
title Chat-based dyad activities with a conversational agent and learning analytics dashboard in a MOOC
description A MOOC component combining weekly chat-based collaborative activities in which students "collaborate in dyads to submit a joint answer as a team" with a conversational agent (TIM) that injects prompts during peer disc...
status review
generated by process:settle-candidates on 2026-10-18
trust unverified — no one has confirmed this page's content
sources 1 — psathas-2023

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