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Traditional professional development (PD) often focuses solely on skills and knowledge, without explicitly attending to participants' sense of community. In this instrumental case study, we explore the impact of a community-building PD experience on an Emerging Discipline-Based Education Researcher's (EDBER's) sense of community. We center the experiences of one tenure-track faculty member, James (a pseudonym), who participated in a Professional Development for Emerging Education Researchers field school for EDBERs, an example of PD that intentionally attends to building community around research. We find that the PD experience contributed to building James' lasting of community in education research, and we call for more PD to shift towards being simultaneously skills-focused and community-focused.
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Education Data Science: Past, Present, Future
This AERA Open special topic concerns the large emerging research area of education data science (EDS). In a narrow sense, EDS applies statistics and computational techniques to educational phenomena and questions. In a broader sense, it is an umbrella for a fleet of new computational techniques being used to identify new forms of data, measures, descriptives, predictions, and experiments in education. Not only are old research questions being analyzed in new ways but also new questions are emerging based on novel data and discoveries from EDS techniques. This overview defines the emerging field of education data science and discusses 12 articles that illustrate an AERA-angle on EDS. Our overview relates a variety of promises EDS poses for the field of education as well as the areas where EDS scholars could successfully focus going forward.
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- Award ID(s):
- 1827477
- PAR ID:
- 10546718
- Publisher / Repository:
- SAGE Publications
- Date Published:
- Journal Name:
- AERA Open
- Volume:
- 7
- ISSN:
- 2332-8584
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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