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Engineering education research

About: Engineering education research is a research topic. Over the lifetime, 535 publications have been published within this topic receiving 8021 citations.


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TL;DR: A review of quantitative, qualitative, and mixed research methods in engineering education research can be found in this paper, where the authors argue that no particular method is privileged over any other, rather, the choice must be driven by the research questions.
Abstract: The purpose of this research review is to open dialog about quantitative, qualitative, and mixed research methods in engineering education research. Our position is that no particular method is privileged over any other. Rather, the choice must be driven by the research questions. For each approach we offer a definition, aims, appropriate research questions, evaluation criteria, and examples from the Journal of Engineering Education. Then, we present empirical results from a prestigious international conference on engineering education research. Participants expressed disappointment in the low representation of qualitative studies; nonetheless, there appeared to be a strong preference for quantitative methods, particularly classroom-based experiments. Given the wide variety of issues still to be explored within engineering education, we expect that quantitative, qualitative, and mixed approaches will be essential in the future. We encourage readers to further investigate alternate research methods by accessing some of our sources and collaborating across education/social science and engineering disciplinary boundaries.

703 citations

01 Jan 2012
TL;DR: The National Research Council's Discipline-Based Education Research (DBER) report (National Research Council, 2012) captures the state-of-theart advances in our understanding of engineering and science student learning and highlights commonalities with other science-based education research programs as mentioned in this paper.
Abstract: Engineering education research (EER) has been on the fast track since 2004 with an exponential rise in the number of Ph.D.s awarded and the establishment of new programs, even entire EER departments. The National Research Council’s Discipline-Based Education Research (DBER) report (National Research Council, 2012) captures the state-of-the-art advances in our understanding of engineering and science student learning and highlights commonalities with other science-based education research programs. The DBER report is the consensus analysis of experts in undergraduate education research in physics, chemistry, biology, geosciences, astronomy, and engineering. The study committee, chaired by Susan Singer, also included higher education researchers, learning scientists, and cognitive psychologists. A central aspect of the DBER report is the focus on and application of research in the education, learning, and social-behavioral sciences to science and engineering curricula design and teaching methods. Froyd, Wankat, and Smith (2012) identified five major shifts in engineering education in the past 100 years: 1. A shift from hands-on and practical emphasis to engineering science and analytical emphasis 2. A shift to outcomes-based education and accreditation 3. A shift to emphasizing engineering design 4. A shift to applying education, learning, and social-behavioral sciences research 5. A shift to integrating information, computational, and communications technology in education

491 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present reflections on challenges to research quality in an example interpretive engineering education study, and offer a quality framework that emerged from this study as a coherent, discipline-specific view on interpretive research quality.
Abstract: Background The emerging discipline of engineering education research is increasingly embracing a diverse range of interpretive research methods, whose adoption is characterized by a lack of coherent ways to conceptualize, communicate, and judge the quality of interpretive inquiries. Yet fields that have traditionally employed these methods do not offer a consensus about research quality. Purpose This article presents reflections on challenges to research quality in an example interpretive engineering education study, and offers a quality framework that emerged from this study as a coherent, discipline-specific view on interpretive research quality. Design/Method Analysis of the prior study of engineering students' competency formation by the author(s) is combined with a synthesis of the literature from the broad intellectual traditions of the interpretive paradigm to inform the development of a theoretical framework of research quality. Results Drawing on the engineering metaphor of quality management, we propose a systematic, process-oriented framework of research quality along two dimensions: a process model locates quality strategies throughout the research process, and a typology systemizes fundamental aspects of validation (theoretical, procedural, communicative, and pragmatic) and the concept of process reliability to explicate quality strategies in their fundamental contribution to substantiating knowledge claims. Conclusion The quality framework provides a way to develop and demonstrate overall research quality in the interpretive inquiry by shifting attention away from assessing the research quality of a final product. Rather, the framework provides guidance to systematically document and explicitly demonstrate quality considerations throughout the entire research process.

281 citations

Journal ArticleDOI
TL;DR: There is an extensive range of well established methodologies in the educational research literature of which a growing subset of them is beginning to be used in engineering education research as discussed by the authors, such as case study, grounded theory, ethnography, action research, Phenomenography, Discourse Analysis, and Narrative Analysis.
Abstract: Background Methodology refers to the theoretical arguments that researchers use in order to justify their research methods and design. There is an extensive range of well established methodologies in the educational research literature of which a growing subset is beginning to be used in engineering education research. Purpose A more explicit engagement with methodologies, particularly those that are only emerging in engineering education research, is important so that engineering education researchers can broaden the set of research questions they are able to address. Scope/Method Seven methodologies are outlined and for each an exemplar paper is analyzed in order to demonstrate the methodology in operation and to highlight its particular contribution. The methodologies are: Case Study, Grounded Theory, Ethnography, Action Research, Phenomenography, Discourse Analysis, and Narrative Analysis. It is noted that many of the exemplar papers use some of these methodologies in combination. Conclusion The exemplar papers show that collectively these methodologies might allow the research community to be able to better address questions around key engineering education challenges, such as students' responses to innovative pedagogies, diversity issues in engineering, and the changing requirements for engineering graduates in the twenty-first century.

265 citations

01 Jan 2011
TL;DR: In this article, seven methodologies are outlined and for each exemplar paper is analyzed in order to demonstrate the methodology in operation and to highlight its particular contribution, including case study, grounded theory, Ethnography, action research, Phenomenography, Discourse Analysis, and Narrative Analysis.
Abstract: SCOPE/METHOD Seven methodologies are outlined and for each an exemplar paper is analyzed in order to demonstrate the methodology in operation and to highlight its particular contribution. The methodologies are: Case Study, Grounded Theory, Ethnography, Action Research, Phenomenography, Discourse Analysis, and Narrative Analysis. It is noted that many of the exemplar papers use some of these methodologies in combination.

247 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202125
202028
201917
201831
201735
201639