Toward Designing Innovation Learning Experiences: Examining Engagement and Affective Traits Based on Learner and Course Characteristics
Files
Date
2023-01-03
Authors
Contributor
Advisor
Department
Instructor
Depositor
Speaker
Researcher
Consultant
Interviewer
Narrator
Transcriber
Annotator
Journal Title
Journal ISSN
Volume Title
Publisher
Volume
Number/Issue
Starting Page
4755
Ending Page
Alternative Title
Abstract
Expanding innovation education research beyond the business domain, this study introduces learning assignments using individual and group knowledge acquisition to mimic participation in today’s digital innovation platforms, examining learner affective and course characteristics as important factors for designing appropriate innovation learning experiences. Findings suggest that graduate students are more engaged and report higher perceptions of quality and quantity of social capital as well as learning from such assignments and also report higher perceptions of affective characteristics. Groups assigned by instructors (rather than self-selected) are also more engaged with higher perceptions of learning and quantity of social capital. Learners for whom the course is in their degree program are also more engaged, storing more knowledge resources individually and reporting higher perceptions of perceived learning, quantity of social capital, task value, and system satisfaction. Together, these findings have practical implications for educators seeking to engage students in meaningful innovation learning experiences.
Description
Keywords
Innovation and Entrepreneurship: Theory and Practice, innovation education, knowledge sharing, perceived learning, social capital
Citation
Extent
10
Format
Geographic Location
Time Period
Related To
Proceedings of the 56th Hawaii International Conference on System Sciences
Related To (URI)
Table of Contents
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
Rights Holder
Local Contexts
Email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.