Cited by 265Innovative Education and Learning PracticesScience Education and PedagogyInnovative Teaching and Learning Methods

Using Activity Theory to Understand the Systemic Tensions Characterizing a Technology-Rich Introductory Astronomy Course

Barab, Sasha A., Barnett, Michael, Yamagata-Lynch, Lisa, Squire, Kurt, Keating, Thomas·2002·Mind, Culture, and Activity

Abstract

In this report of our research on a computer-based three-dimensional (3-D) modeling course for learning astronomy, we use the central tenets of activity theory to analyze participation by undergraduate students and instructors, illuminating the instances of activity that characterized course dynamics. Specifically, we focus on the relations of participant (student) and object (3-D models and astronomy understandings) and how, in our course, object transformations leading to scientific understandings are mediated by tools (both technological and human), the overall classroom microculture (emergent norms), division of labor (group dynamics and student-instructor roles), and rules (informal, formal, and technical). Through analysis of the data, we interpreted and then focused on two systemic tensions as illuminative of classroom activity. With respect to the first systemic tension, we examined the interplay between learning astronomy and building 3-D models. Results suggested that instead of detracting from the emergence of an activity system that supported learning astronomy, model-building actions frequently coevolved with (were the same as) astronomy-learning actions. With respect to the second tension, we examined the interplay between prespecified, teacher-directed instruction versus emergent, student-directed learning. Our results indicated that it was rarely teacher-imposed nor student-initiated constraints that directed learning; rather, rules, norms, and divisions of la…

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Crossref · 10.1207/s15327884mca0902_02

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  • Barab et al. (2002) found that distributing tasks between learners in one group was a good practice for accomplishing tasks as a team but was not as successful for fostering the development of a broad understanding of astronomy, because some learners did not learn concepts that another team member had been responsible for.

    “The distribution of tasks between learners in one group, which was found to be 'a good practice for accomplishing tasks as team' was, however, 'not as successful for fostering the development of a broad understanding of astronomy' (p. 99). This was because some learners did not learn concepts that another team member had been responsible for.”
  • Findings of some studies (Barab et al., 2002; Basharina, 2007; Peruski, 2003; Russell & Schneiderheinze, 2005) revealed instances where contradictions were not resolved.

    “Findings of some studies (e.g., Barab et al., 2002; Basharina, 2007; Peruski, 2003; Russell & Schneiderheinze, 2005) revealed instances where contradictions were not resolved.”
  • Barab et al.'s (2002) study supported and refuted emerging hypotheses about how practices, resources, task constraints, task manifestations, and student understandings evolved over time.

    “the study, consistent with Roth's (1996) guidelines for AT enquiry, 'supported and refuted emerging hypotheses about how practices, resources, task constraints, task manifestations, and student understandings evolved over time' (Barab et al., 2002, p. 83).”
  • Barab et al. (2002) interpreted the finding about task distribution as a contradiction between the division of labour (students distributing tasks in the group versus each individual carrying out all the tasks) and the object of learning astronomy.

    “The authors interpreted this finding as a contradiction between the division of labour-in terms of students distributing tasks in the group versus each individual carrying out all the tasks-and the object of learning astronomy.”
  • Barab et al.'s (2002) study illustrates that analysis of contradictions may need to be ongoing, iterative, parallel to data collection, and involve data from additional sources.

    “Barab et al.'s (2002) study, which used both quantitative and qualitative data, illustrates how analysis may need to be ongoing, iterative, parallel to data collection, and involve data from additional sources.”

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Authors
Barab, S. A., Barnett, M., Yamagata-Lynch, L., Squire, K., & Keating, T.
Affiliations
  • Indiana University Bloomington (US)
  • Boston College (US)
  • University of Utah (US)
  • Massachusetts Institute of Technology (US)
  • The Tech Interactive (US)
Venue
Mind, Culture, and Activity
Published
2002-05
Volume
9
Issue
2
Pages
76-107
ISSN
  • 1074-9039 (ISSN-L)
  • 1532-7884
OpenAlex
W2028082438
Cited by
265
References
0
Citations by year
2026: 2 · 2025: 4 · 2024: 5 · 2023: 10 · 2022: 6 · 2021: 14 · 2020: 10 · 2019: 10 · 2018: 17 · 2017: 21 · 2016: 12 · 2015: 12 · 2014: 15 · 2013: 17 · 2012: 18
FWCI
23.41
Type
journal article
Language
en
Open access
closed
Locations
Mind Culture and Activity (publishedVersion)
Funders
American Educational Research Association
Topics
  • Social Sciences › Human Factors and Ergonomics › Innovative Education and Learning Practices
  • Social Sciences › Education › Science Education and Pedagogy
  • Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
Keywords
activity theory, 3D modeling, computer-assisted instruction, systemic tension, division of labor, student-led learning, teacher-centered instruction

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