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Hundley, Stephen P., Ed. – Assessment Update, 2019
This issue of "Assessment Update" presents the following articles: (1) What Makes a Performance Indicator an Equity-Driven, High-Performance Indicator? (Marilee Bresciani Ludvik); (2) Editor's Notes: The Leadership Imperatives for Assessment Excellence: Imperative #1, Making Assessment Excellence a Strategic Institutional Priority…
Descriptors: College Outcomes Assessment, Educational Indicators, Equal Education, Strategic Planning
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Gorham, Tom; Jubaed, Sam; Sanyal, Tannishtha; Starr, Emma L. – Research-publishing.net, 2019
This chapter describes a small-scale pilot study in which participants in the experimental group learned how to write Japanese kanji characters within an immersive Virtual Reality (VR) graffiti simulator (the Kingspray Graffiti Simulator on the Oculus Rift VR system). In comparing the experimental group to the non-VR control group in the context…
Descriptors: Computer Simulation, Second Language Learning, Second Language Instruction, Teaching Methods
Willard, Jacklyn; Vasquez, Andrea; Lepe, Marco – MDRC, 2019
College Promise programs aim to make students believe they can afford college, and to give them the opportunity to go to college and earn degrees without taking on significant debt. At the core of all College Promise programs is a scholarship: All eligible College Promise students receive scholarships that may cover up to 100 percent of tuition…
Descriptors: College Programs, Paying for College, Access to Education, Scholarships
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Gitinabard, Niki; Barnes, Tiffany; Heckman, Sarah; Lynch, Collin F. – International Educational Data Mining Society, 2019
Students' interactions with online tools can provide us with insights into their study and work habits. Prior research has shown that these habits, even as simple as the number of actions or the time spent on online platforms can distinguish between the higher performing students and low-performers. These habits are also often used to predict…
Descriptors: Blended Learning, Student Adjustment, Online Courses, Study Habits
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Ginder, Scott A.; Kelly-Reid, Janice E.; Mann, Farrah B. – National Center for Education Statistics, 2019
The Integrated Postsecondary Education Data System (IPEDS) collects institution-level data from postsecondary institutions in the United States (50 states and the District of Columbia) and other U.S. jurisdictions (see appendix A for a list of other U.S. jurisdictions). This First Look presents findings from the provisional data of the IPEDS…
Descriptors: Enrollment Trends, School Personnel, Postsecondary Education, Educational Finance
Zamani-Gallaher, Eboni M.; Yeo, HyeJin; Velez, Angel L.; Fox, Heather L.; Samet, Michelle – Office of Community College Research and Leadership, 2019
The Hispanic-Serving Community Colleges STEM Pipelines (HSCC-STEM) study is a research project that explores the transitions to and through Hispanic-serving two-year institutions for underrepresented minoritized STEM students. This brief uncovers the most viable HSCC STEM pathways for Latinxs and other underrepresented minoritized students as well…
Descriptors: STEM Education, Community Colleges, Hispanic American Students, Two Year College Students
Calderbank, Daniel, Ed. – UNESCO Bangkok, 2019
The Education 2030 Agenda calls for robust monitoring, reporting, and evaluating indicators from Early Childhood Education (ECE) to adult education. The new agenda demands clear indicators and measurement to generate evidence-based international discourses and advocacy. Ensuring availability of education data and statistics for evidence based…
Descriptors: Foreign Countries, Educational Development, Educational Indicators, Sustainable Development
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Yamaguchi, Ryoko – Grantee Submission, 2019
The purpose of this evaluation was to understand the development, implementation, and impact of Project Exc-EL (Excellence for English Learners), a school-wide intervention focused on providing teacher professional development and training to better support English learners (ELs) in New York. Project Exc-EL focuses on training teachers to use data…
Descriptors: Faculty Development, Teacher Competencies, English Language Learners, Intervention
Data Quality Campaign, 2019
No vision of personalized learning can be realized without support for data use. State strategies to create student-centered classrooms require critical policy conditions that allow those closest to students to access and use timely, safeguarded data to make decisions. This case study outlines steps SEAs can take to ensure the effective use of…
Descriptors: Individualized Instruction, Decision Making, Data Use, State Departments of Education
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Mandinach, Ellen B.; Gummer, Edith S. – Educational Researcher, 2013
Data-driven decision making has become increasingly important in education. Policymakers require educators to use data to inform practice. Although the policy emphasis is growing, what has not increased is attention to building human capacity around data use. Educators need to gain data literacy skills to inform practice. Although some…
Descriptors: Decision Making, Schools of Education, Data, Teacher Education Curriculum
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Puslednik, Louise; Brennan, Patrick C. – Australian Journal of Education, 2020
Authentic student-led inquiry and exposure to scientific research impact students' science career choices. Given Australian students decline in STEM [science, technology, engineering and mathematics] skills, knowledge of whether such programmes impact student learning is critical. This research examined the short-term impact of an authentic,…
Descriptors: Authentic Learning, Inquiry, Scientific Research, Program Effectiveness
Buzhardt, Jay; Greenwood, Charles R.; Jia, Fan; Walker, Dale; Schneider, Naomi; Larson, Anne L.; Valdovinos, Maria; McConnell, Scott R. – Exceptional Children, 2020
Data-driven decision making (DDDM) helps educators identify children not responding to intervention, individualize instruction, and monitor response to intervention in multitiered systems of support (MTSS). More prevalent in K-12 special education, MTSS practices are emerging in early childhood. In previous reports, we described the Making Online…
Descriptors: Data Analysis, Decision Making, Special Education, Infants
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Hanson, Stephen José; Saunders, Stephanie; Aponte, Arcelio; Copeland, Robert; Nettles, Michael – ETS Research Report Series, 2020
The academic achievement gap is a persistent and pernicious educational challenge confounded with race and socioeconomic status. The achievement gap persists despite over three decades of interventions and federal, state, and local policies and initiatives meant to close it. We examine the achievement gap in one of the most diverse states in the…
Descriptors: Achievement Gap, Racial Differences, Ethnicity, Socioeconomic Status
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Huang, Li; Lambert, James – Journal of Multilingual and Multicultural Development, 2020
This paper reports on a promising methodology for multilingualism studies that was trialled at the National Institute of Education (NIE) on the campus of Nanyang Technological University (NTU), Singapore, in 2018. The methodology named the Aural-Oral Transect (AOT) is a systematic, easy-to-implement, unbiased way of collecting quantitative data on…
Descriptors: Multilingualism, Oral Language, Speech Communication, Research Methodology
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Mikroyannidis, Alexander; Gómez-Goiri, Aitor; Smith, Andrew; Domingue, John – Interactive Learning Environments, 2020
The main challenges commonly associated with acquiring practical network engineering skills are the requirements for access to specialised and up-to-date network equipment, as well as the high costs associated with obtaining and maintaining this equipment. The PT Anywhere initiative addresses these challenges by offering a mobile environment for…
Descriptors: Computer Science Education, Computer Networks, Data Analysis, Engineering
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