Generative learning as actively making sense of information via eight learning strategies¶

Theory · All theories
Evidence · 1 claim (1 mixed) · 1 study (1 qualitative), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description¶

The chapter adopts Fiorella and Mayer's account of generative learning as learning that involves "actively making sense of to-be-learned information by mentally reorganizing and integrating it with one's prior knowledge, thereby enabling learners to apply what they have learned to new situations". It enumerates eight strategies: summarizing, making concept/knowledge maps or graphic organizers, creating drawings or mental images, answering practice questions, self-explanation, teaching others, physical motions like gestures and object manipulations, and generating predictions or questions. The chapter explores whether GenAI can help teachers design activities embodying these strategies and support teachers and students in carrying them out.

Design Implications¶

Context¶

Requirements¶

• Teachers must select and adapt tasks so activities embody one or more of the eight generative learning strategies

Constraints¶

• Generative learning activities can be time-consuming to create and implement, requiring extensive preparation of materials and several class iterations to run smoothly

Target Learners¶

• K-12 and pre-service secondary mathematics students and teachers

Target Learning Objectives¶

• Deep understanding and transfer of mathematics content through active reorganization and integration with prior knowledge

Claims¶

• Mathematics teachers critique ChatGPT-generated generative learning lessons for poor fit to students, boredom, preparation time, missing student-facing materials, mathematical flaws, and required materials [~W]

Related Theories¶

Examples¶

• ChatGPT as a lesson-adaptation and brainstorming tool for mathematics teachers' generative learning design

Key Sources¶

• Candace Walkington and Katie Bainbridge. (2025). Mathematics Teachers' Use of Generative AI to Create Active Learning Experiences. https://socialinnovationsjournal.com/index.php/sij/article/view/9994