Intelligence Augmentation for Collaborative Learning: four verbs extending individualized EdTech¶

Theory · All theories
Evidence · 3 claims (3 for) · 1 study (1 theoretical), q1 · 0 of 1 report an effect size · 3 claims rest on one study

Description¶

The presentation proposes a framework for intelligence augmentation (IA) in collaborative learning, built on four verbs that extend the individualized EdTech triad of assess, assign, and adapt: "Automate (complexity of organizing social, contextual learning)", "Add awareness (of what is occurring in social learning)", "Assist (facilitate engagement in social learning behaviors)", and "Augment (social intelligence about group learning in a context)". It positions these as the design agenda for AI that augments the social intelligence of teachers and students rather than personalizing to one learner at a time.

Design Implications¶

Context¶

Requirements¶

• AI for learning should be rethought to augment the social intelligence of teachers and students rather than only individual learners

Constraints¶

• The presentation states issues of ethics and equity are paramount as this agenda is explored, though it does not elaborate them

Target Learners¶

• K-12 students in collaborative classrooms

Target Learning Objectives¶

• collaborative learning
• complex intellectual challenges
• discourse and argumentation
• project-based group work

Claims¶

• Collaborative Situations Often Fail Productive [+W]
• Edtech Ai Messaging Individual Vs Social Curricula [+W]
• Well-structured collaborative learning is extremely effective, especially for learning concepts and complex problem solving [+W]

Related Theories¶

• Computer-supported collaborative learning: definition and Kirschner and Erken's 3x3 framework
• Five new design concepts for AI in learning: orchestrating, augmenting, expanding natural interactions, broadening competencies, and revealing connections

Examples¶

• Engage stakeholders in participatory design and research for AI-augmented collaborative learning

Key Sources¶

• Roschelle J. (2021). Intelligence Augmentation for Collaborative Learning. In: Sottilare R.A., Schwarz J. (eds) Adaptive Instructional Systems. Design and Evaluation. HCII 2021. Lecture Notes in Computer Science, vol 12792. Springer, Cham. https://doi.org/10.1007/978-3-030-77857-6_17