Expansive learning in the learning assistant model: how instructors’ goals lead to differences in implementation and development of LAs’ practices

Abstract Background The learning assistant (LA) model supports student success in undergraduate science courses; however, variation in outcomes has led to a call for more work investigating how the LA model is implemented. In this research, we used cultural historical activity theory (CHAT) to characterize how three different instructors set up LA-facilitated classrooms and how LAs’ understanding and development of their practices was shaped by the classroom activity. CHAT is a sociocultural framework that provides a structured approach to studying complex activity systems directed toward specific objects. It conceptualizes change within these systems as expansive learning, in which experiencing a contradiction leads to internalization and critical self-reflection, and then externalization and a search for solutions and change. Results Through analyzing two semi-structured retrospective interviews from three professors and eleven LAs, we found that how the LA model was implemented differed based on STEM instructors’ pedagogical practices and goals. Each instructor leveraged LA-facilitated interactions to further learning and tasked LAs with emotionally supporting students to grapple with content and confusions in a safe environment; however, all three had different rules and divisions of labor that were influenced by their perspectives on learning and their objects for the class. For LAs, we found that they had multiple, sometimes conflicting, motives that can be described as either practical, what they described as their day-to-day job, or sense-making, how they made sense of the reason for their work. How these motives were integrated/separated or aligned/misaligned with the collective course object influenced LAs’ learning in practice through either a mechanism of consonance or contradiction. We found that each LA developed unique practices that reciprocally shaped and were shaped by the activity system in which they worked. Conclusions This study helps bridge the bodies of research that focus on outcomes from the LA model and LA learning and development by describing how LA learning mechanisms are shaped by their context. We also show that variation in the LA model can be described both by classroom objects and by LAs’ development in dialogue with those objects. This work can be used to start to develop a deeper understanding of how students, instructors, and LAs experience the LA model.

Authors

Institutions

Publication Details

Journal
International Journal of STEM Education
Published
2024-08-12
DOI
https://doi.org/10.1186/s40594-024-00496-1
Citations
5
Primary Topic
Innovative Education and Learning Practices
Type
article
Field-Weighted Citation Impact
10.94

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Expansive learning in the learning assistant model: how instructors’ goals lead to differences in implementation and development of LAs’ practices

Ira Caspari‐Gnann, Jessica M. Karch, Sedrah Mashhour, Micah P. Koss
5 citations
International Journal of STEM Education
Innovative Education and Learning Practices
10.94
article

Expansive learning in the learning assistant model: how instructors’ goals lead to differences in implementation and development of LAs’ practices

Ira Caspari‐Gnann, Jessica M. Karch, Sedrah Mashhour, Micah P. Koss
article en
5 citations

Abstract

Abstract Background The learning assistant (LA) model supports student success in undergraduate science courses; however, variation in outcomes has led to a call for more work investigating how the LA model is implemented. In this research, we used cultural historical activity theory (CHAT) to characterize how three different instructors set up LA-facilitated classrooms and how LAs’ understanding and development of their practices was shaped by the classroom activity. CHAT is a sociocultural framework that provides a structured approach to studying complex activity systems directed toward specific objects. It conceptualizes change within these systems as expansive learning, in which experiencing a contradiction leads to internalization and critical self-reflection, and then externalization and a search for solutions and change. Results Through analyzing two semi-structured retrospective interviews from three professors and eleven LAs, we found that how the LA model was implemented differed based on STEM instructors’ pedagogical practices and goals. Each instructor leveraged LA-facilitated interactions to further learning and tasked LAs with emotionally supporting students to grapple with content and confusions in a safe environment; however, all three had different rules and divisions of labor that were influenced by their perspectives on learning and their objects for the class. For LAs, we found that they had multiple, sometimes conflicting, motives that can be described as either practical, what they described as their day-to-day job, or sense-making, how they made sense of the reason for their work. How these motives were integrated/separated or aligned/misaligned with the collective course object influenced LAs’ learning in practice through either a mechanism of consonance or contradiction. We found that each LA developed unique practices that reciprocally shaped and were shaped by the activity system in which they worked. Conclusions This study helps bridge the bodies of research that focus on outcomes from the LA model and LA learning and development by describing how LA learning mechanisms are shaped by their context. We also show that variation in the LA model can be described both by classroom objects and by LAs’ development in dialogue with those objects. This work can be used to start to develop a deeper understanding of how students, instructors, and LAs experience the LA model.

International Journal of STEM EducationVol. 11(1)
Tufts University (US)
National Science Foundation
Openalex Percentile: Top 2%
Innovative Education and Learning Practices
10.94
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.