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Hokulani Aikau; Ulla Hasager; Amy Shachter; Amy Sprowles – Science Education and Civic Engagement, 2024
Written by the SECEIJ Special Forum editorial team, this Project Report summarizes the interdisciplinary, collaborative, and inspiring research journey and theoretical background leading to the creation of a strategic plan for the 'IKE Alliance for Transforming STEM Education. 'IKE, which stands for Indigenous Knowledges, Encouragements,…
Descriptors: STEM Education, Indigenous Knowledge, Indigenous Populations, Epistemology
Danielle S. McNamara; Tracy Arner; Elizabeth Reilley; Paul Alvarado; Chani Clark; Thomas Fikes; Annie Hale; Betheny Weigele – Grantee Submission, 2022
Accounting for complex interactions between contextual variables and learners' individual differences in aptitudes and background requires building the means to connect and access learner data at large scales, across time, and in multiple contexts. This paper describes the ASU Learning@Scale (L@S) project to develop a digital learning network…
Descriptors: Electronic Learning, Educational Technology, Networks, Learning Analytics
Reichlin Cruse, Lindsey; Richburg-Hayes, Lashawn; Hare, Amanda; Contreras-Mendez, Susana – Institute for Women's Policy Research, 2021
The COVID-19 pandemic brought the care crisis in the United States to the fore. Unprecedented closures of child care programs throughout 2020 placed a disproportionate burden on families, and mothers in particular. For parents enrolled in college or considering postsecondary enrollment at the time of the pandemic, the loss of child care services…
Descriptors: Child Care, College Students, Parents, Student Personnel Services
Cunningham, Jim – International Educational Data Mining Society, 2015
In this paper, I describe preliminary work on a new research project in learning analytics at Arizona State University. In conjunction with an innovative remedial mathematics course using Khan Academy and student coaches, this study seeks to measure the effectiveness of visualized data in assisting student coaches as they help remedial math…
Descriptors: Research Projects, Remedial Mathematics, Coaching (Performance), Visual Aids
Koutsoftas, Anthony D.; Dubasik, Virginia L.; Moss DiDonato, Alicia – Educational Research, 2017
Background: Preschool teacher's instructional practices are one component of high-quality early education classrooms that have the potential to directly influence young children's school readiness and success; therefore, the type and quality of instructional practices used by preschool teachers should be explored. Purpose: The purpose of this…
Descriptors: Preschool Teachers, Educational Practices, Emotional Development, Socialization
Graham, Deborah J.; Eadens, Daniel W. – Education Leadership Review of Doctoral Research, 2017
This correlation study examined relationships between special education and standardized testing variables of 100 Arizona secondary school districts with Native American populations, and the archival records for postsecondary outcomes between 2012 and 2014 of students with disabilities, using archival data collected by the Arizona Department of…
Descriptors: Disabilities, Correlation, Special Education, Standardized Tests
Evans, Alyssa; McCann, Meghan – Education Commission of the States, 2020
Several systemic factors contribute to the lack of stability and educational opportunities for students in foster care, including lack of transportation to the school of origin (or the schools they enrolled in when they first entered foster care), difficulty enrolling in new schools and transferring credits between school districts, gaps in…
Descriptors: Foster Care, Student Needs, Barriers, Elementary Secondary Education
Azarnoush, Bahareh; Bekki, Jennifer M.; Runger, George C.; Bernstein, Bianca L.; Atkinson, Robert K. – Journal of Educational Data Mining, 2013
Effectively grouping learners in an online environment is a highly useful task. However, datasets used in this task often have large numbers of attributes of disparate types and different scales, which traditional clustering approaches cannot handle effectively. Here, a unique dissimilarity measure based on the random forest, which handles the…
Descriptors: Online Courses, Females, Doctoral Programs, Graduate Students
Huff-Eibl, Robyn; Miller-Wells, John; Begay, Wendy – Journal of Access Services, 2014
This article describes the process and role frontline access and public service staff play in needs assessment and evaluation of user services, specifically in understanding the voice of the customer. Information includes how the University of Arizona Libraries have incorporated daily data collection into the strategic planning process, resources…
Descriptors: Library Services, Library Development, Decision Making, Data
Prather, Edward E.; Brissenden, Gina – Astronomy Education Review, 2009
Members of the Center for Astronomy Education (CAE) and the Conceptual Astronomy and Physics Education Research (CAPER) Team at the University of Arizona have conducted a systematic investigation into the use of wireless, electronic personal response systems (PRS), more commonly known as "clickers," to gather research data in the large…
Descriptors: Astronomy, Data Collection, Electronic Equipment, Introductory Courses