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What Makes A Team “Cross Disciplinary”? Development And Validation Of Cross Disciplinary Learning Measures
Author(s) -
Scott Schaffer,
Daniel Gandara,
Xiaojun Chen,
Margaret Huyck,
Jill May
Publication year - 2020
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/1-2--16156
Subject(s) - discipline , cross disciplinary , multidisciplinary approach , multidisciplinary team , psychology , knowledge management , best practice , collaborative learning , engineering ethics , computer science , engineering , sociology , political science , data science , medicine , social science , nursing , law
This a progress report on a research project funded by the National Science Foundation to identify or develop, and validate measures of cross-disciplinary team functioning, in order to assess the best practices for developing such competencies. The project is a collaboration of undergraduate, multidisciplinary, service learning, and project based learning programs at four institutions. While a great deal of literature exists related to assessment of team functioning, there is relatively little research on the assessment of cross-disciplinary team learning (CDTL), where team members are presumed to learn to transcend their own disciplinary boundaries, appreciate different frameworks, and (eventually) broaden their perspectives to include those of other disciplines. A basic framework of CDTL was developed based on review of collaborative learning and cross-disciplinary learning literature and interviews and analysis of team member reflections. Best practices related to general competencies were identified, and four major crossdisciplinary learning objectives were derived from this framework. These include: the learner’s ability to self-identify their own skills, knowledge, and potential project contributions; the ability to recognize the potential contributions of others; team members’ collective ability to infuse project design goals and processes with contributions of diverse team members; and team members’ collective understanding of how other disciplines have influenced project outcomes. Initial survey measures of pre-post project confidence levels across these dimensions have been developed and piloted in Fall ’09 semester and all partner programs have been invited to pilot these measures in the Spring ’10 semester. Furthermore, the research team is building upon this framework to validate previous measures and to develop other measures of cross-disciplinary team functioning. Job analysis is being used to identify common themes perceived by current and past participants in a multidisciplinary team project, and by faculty “coaches” and the program supervisors. When themes are identified from the interviews, a survey is created to assess those dimensions. This survey will be piloted and psychometric analyses will be performed to revise the survey before it is offered to the partner university programs. The results provide an additional data point indicating student competency in the skills identified for successful cross-disciplinary team functioning. Finally, the measurement of cross-disciplinary team learning is complex thus a single measure is not sufficient. Since team project learning goals and scope varies widely across institutions there are a great many challenges when conducting this type of assessment. A tool to compile and describe means and methods each partner university is using to assess the defined cross-disciplinary learning objectives has been created. Ideally, this tool can help understand how the context of each program influences how cross-disciplinary teamwork is represented, understood, and assessed. Case study data will be used to describe cross-disciplinary learning within context.

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