Moving Apart and Coming Together: Discourse, Engagement, and Deep Learning

Loading...
Thumbnail Image
Can’t use the file because of accessibility barriers? Contact us

Date

2017

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

An important part of “doing” science is engaging in collaborative science practices. To better understand how to support these practices, we need to consider how students collaboratively construct and represent shared understanding in complex, problem-oriented, and authentic learning environments. This research presents a case study centered on the work of four students in a human-centered robotics curriculum enactment. We explore how discursive features including embodied gesture and positioning of material artifacts contributed to the problem-solving process and helped students move towards deeper learning — showing how nonverbal and verbal discourses were used to construct agreement and disagreement, parallel interaction, and accountability. Each of these discursive actions informed how the group moved forward or was halted in their complex collaborative work. We found that early stages of constructing a joint problem- solving space (JPSS) in this classroom environment required extended engagement, student ownership, and negotiation of shared activity. By exploring how select students worked toward the co-construction of joint problem-solving spaces, we reimagine what deep engagement and learning in STEM learning environments can look like, and we inform better design for the creation of these spaces.

Description

This record is for a(n) offprint of an article published in Journal of Educational Technology & Society in 2017.

Keywords

Citation

Gomoll, Andrea S., et al. "Moving Apart and Coming Together: Discourse, Engagement, and Deep Learning." Journal of Educational Technology & Society, vol. 20, no. 4, 2017.

Journal

Journal of Educational Technology & Society

DOI

Link(s) to data and video for this item

Relation

Rights

Type