Javascript must be enabled to continue!
Making Sense of Generative Learning
View through CrossRef
AbstractHow do learners make sense of what they are learning? In this article, I present a new framework of sense-making based on research investigating the benefits and boundaries of generative learning activities (GLAs). The generative sense-making framework distinguishes among three primary sense-making modes—explaining, visualizing, and enacting—that each serve unique and complementary cognitive functions. Specifically, the framework assumes learners mentally organize and simulate the learning material (via the visualizing and enacting modes) to facilitate their ability to generalize the learning material (via the explaining mode). I present evidence from research on GLAs illustrating how visualizations and enactments (instructor-provided and/or learner-generated) can facilitate higher quality learner explanations and subsequent learning outcomes. I also discuss several barriers to sense-making that help explain when GLAs are not effective and describe possible ways to overcome these barriers by appropriately guiding and timing GLAs. Finally, I discuss implications of the generative sense-making framework for theory and practice and provide recommendations for future research.
Title: Making Sense of Generative Learning
Description:
AbstractHow do learners make sense of what they are learning? In this article, I present a new framework of sense-making based on research investigating the benefits and boundaries of generative learning activities (GLAs).
The generative sense-making framework distinguishes among three primary sense-making modes—explaining, visualizing, and enacting—that each serve unique and complementary cognitive functions.
Specifically, the framework assumes learners mentally organize and simulate the learning material (via the visualizing and enacting modes) to facilitate their ability to generalize the learning material (via the explaining mode).
I present evidence from research on GLAs illustrating how visualizations and enactments (instructor-provided and/or learner-generated) can facilitate higher quality learner explanations and subsequent learning outcomes.
I also discuss several barriers to sense-making that help explain when GLAs are not effective and describe possible ways to overcome these barriers by appropriately guiding and timing GLAs.
Finally, I discuss implications of the generative sense-making framework for theory and practice and provide recommendations for future research.
Related Results
Initial Experience with Pediatrics Online Learning for Nonclinical Medical Students During the COVID-19 Pandemic
Initial Experience with Pediatrics Online Learning for Nonclinical Medical Students During the COVID-19 Pandemic
Abstract
Background: To minimize the risk of infection during the COVID-19 pandemic, the learning mode of universities in China has been adjusted, and the online learning o...
Autonomy on Trial
Autonomy on Trial
Photo by CHUTTERSNAP on Unsplash
Abstract
This paper critically examines how US bioethics and health law conceptualize patient autonomy, contrasting the rights-based, individualist...
Generative AI in Strategic Business Planning: Boosting Efficiency and Competitive Advantage in Business Organizations
Generative AI in Strategic Business Planning: Boosting Efficiency and Competitive Advantage in Business Organizations
Aim: This study investigates the application of generative AI in strategic business planning, with a particular focus on its potential to enhance operational efficiency and economi...
Sense-Making/Sensemaking
Sense-Making/Sensemaking
Sense-making/sensemaking are terms commonly understood as the processes through which people interpret and give meaning to their experiences. The three different spelling variation...
A soft computing decision support framework for e-learning
A soft computing decision support framework for e-learning
Supported by technological development and its impact on everyday activities, e-Learning and b-Learning (Blended Learning) have experienced rapid growth mainly in higher education ...
MULTIMEDIA-ASSISTED GENRATIVE LEARNING MODEL TOWARDS IPA LEARNING SATISFACTION IN STUDENTS OF GRADE IV ELEMENTARY SCHOOL ACHIEVEMENT SCHOOL YEAR 2020/2021
MULTIMEDIA-ASSISTED GENRATIVE LEARNING MODEL TOWARDS IPA LEARNING SATISFACTION IN STUDENTS OF GRADE IV ELEMENTARY SCHOOL ACHIEVEMENT SCHOOL YEAR 2020/2021
The development of science and technology has brought about changes in almost all aspects of human life. In addition to bringing benefits to human life, on the one hand these chang...
Generative Artificial Intelligence and Its Role in Shaping Customer Loyalty in Banking: A Conceptual Framework
Generative Artificial Intelligence and Its Role in Shaping Customer Loyalty in Banking: A Conceptual Framework
The role of Generative Artificial Intelligence (Generative AI) in Electronic Customer Relationship Management (Electronic-CRM) systems is reshaping consumer engagement in the banki...
Generative AI without guardrails can harm learning: Evidence from high school mathematics
Generative AI without guardrails can harm learning: Evidence from high school mathematics
Generative AI is poised to revolutionize how humans work, and has already demonstrated promise in significantly improving human productivity. A key question is how generative AI af...

