- Award ID(s):
- Publication Date:
- NSF-PAR ID:
- Journal Name:
- Annual Review of Statistics and Its Application
- Page Range or eLocation-ID:
- 177 to 208
- Sponsoring Org:
- National Science Foundation
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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.
Exploring perspectives and experiences of diverse learners' acceptance of online educational engineering games as learning tools in the classroomThis Research Full paper focuses on perceptions and experiences of freshman and sophomore engineering students when playing an online serious engineering game that was designed to improve engineering intuition and knowledge of statics. Use of serious educational engineering games has increased in engineering education to help students increase technical competencies in engineering disciplines. However, few have investigated how these engineering games are experienced by the students; how games influence students' perceptions of learning, or how these factors may lead to inequitable perspectives among diverse populations of students. Purpose/Hypothesis: The purpose of this study was to explore the perceptions, appeal, and opinions about the efficacy of educational online games among a diverse population of students in an engineering mechanics statics course. It was hypothesized that compared to majority groups (e.g., men, White), women of color who are engineering students would experience less connections to the online educational game in terms of ease of use and level of frustration while playing. It is believed that these discordant views may negatively influence the game's appeal and efficacy towards learning engineering in this population of students. Design/Method: The Technology Acceptance Model (TAM) is expanded in this study, where the perspectives of women of colourmore »
Introduction and Theoretical Frameworks Our study draws upon several theoretical foundations to investigate and explain the educational experiences of Black students majoring in ME, CpE, and EE: intersectionality, critical race theory, and community cultural wealth theory. Intersectionality explains how gender operates together with race, not independently, to produce multiple, overlapping forms of discrimination and social inequality (Crenshaw, 1989; Collins, 2013). Critical race theory recognizes the unique experiences of marginalized groups and strives to identify the micro- and macro-institutional sources of discrimination and prejudice (Delgado & Stefancic, 2001). Community cultural wealth integrates an asset-based perspective to our analysis of engineering education to assist in the identification of factors that contribute to the success of engineering students (Yosso, 2005). These three theoretical frameworks are buttressed by our use of Racial Identity Theory, which expands understanding about the significance and meaning associated with students’ sense of group membership. Sellers and colleagues (1997) introduced the Multidimensional Model of Racial Identity (MMRI), in which they indicated that racial identity refers to the “significance and meaning that African Americans place on race in defining themselves” (p. 19). The development of this model was based on the reality that individuals vary greatly in the extent to whichmore »
Impacts Resulting from a Large-Scale First-Year Engineering and Computer Science Program on Students’ Successful Persistence Toward Degree CompletionThere is a critical need for more students with engineering and computer science majors to enter into, persist in, and graduate from four-year postsecondary institutions. Increasing the diversity of the workforce by inclusive practices in engineering and science is also a profound identified need. According to national statistics, the largest groups of underrepresented minority students in engineering and science attend U.S. public higher education institutions. Most often, a large proportion of these students come to colleges and universities with unique challenges and needs, and are more likely to be first in their family to attend college. In response to these needs, engineering education researchers and practitioners have developed, implemented and assessed interventions to provide support and help students succeed in college, particularly in their first year. These interventions typically target relatively small cohorts of students and can be managed by a small number of faculty and staff. In this paper, we report on “work in progress” research in a large-scale, first-year engineering and computer science intervention program at a public, comprehensive university using multivariate comparative statistical approaches. Large-scale intervention programs are especially relevant to minority serving institutions that prepare growing numbers of students who are first in their family tomore »
Background and Context: Most large-scale statewide initiatives of the Computer Science for All (CS for All) movement have focused on the classroom level. Critical questions remain about building school and district leadership capacity to support teachers while implementing equitable computer science education that is scalable and sustainable.
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Method: Participant surveys, interviews, and workshop observations were analyzed to understand best practices for professional development supporting educational leaders.
Findings: Administrators value computer science professional development resources that: (a) have a clear focus on “equity;” (b) engage with data and examples that deepen understandings of equity; (c) provide networking opportunities; (d) have explicit workshop purpose and activities; and (e) support deeper discussions of computer science implementation challenges through pairing a workshop and a guide.
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