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State Council of Higher Education for Virginia, 2020
The 2020 General Assembly directed the State Council of Higher Education for Virginia (SCHEV) to develop a plan for implementing a statewide survey of institutional expenditures by program and academic discipline at Virginia's public higher education institutions, and submit a report and recommendations to the Governor and the Chairs of the House…
Descriptors: State Surveys, Expenditures, State Legislation, Statewide Planning
Kim, Jeanette; Simon, Mia; Horenstein, Aaron; Webber, Althea J. – Grantee Submission, 2020
The City University of New York (CUNY) is the largest urban public university system in the United States with approximately 100,000 students enrolled in associate degree programs. Similar to trends nationwide, many associate degree students come to CUNY underprepared for college-level classes and are assigned to take remedial or developmental…
Descriptors: Community Colleges, Educational Change, Developmental Studies Programs, Urban Universities
Byon, Anna – Institute for Higher Education Policy, 2020
Asian American and Pacific Islander (AAPI) communities are growing at a faster rate than any other racial group in the United States. The opportunity to address significant inequities impacting this community is hiding in our country's postsecondary data. Collections of data at the U.S. Department of Education and our institutions of higher…
Descriptors: Federal Government, Data Collection, Asian Americans, Pacific Islanders
Jing Liu; Julie Cohen – Annenberg Institute for School Reform at Brown University, 2020
Valid and reliable measurements of teaching quality facilitate school-level decision-making and policies pertaining to teachers, but conventional classroom observations are costly, prone to rater bias, and hard to implement at scale. Using nearly 1,000 word-to-word transcriptions of 4th- and 5th-grade English language arts classes, we apply novel…
Descriptors: Grade 4, Grade 5, Language Arts, Elementary School Teachers
Mason, Claire M.; Chen, Haohui; Evans, David; Walker, Gavin – International Journal of Information and Learning Technology, 2023
Purpose: This paper aims to demonstrate how skills taxonomies can be used in combination with machine learning to integrate diverse online datasets and reveal skills gaps. The purpose of this study is then to show how the skills gaps revealed by the integrated datasets can be used to achieve better labour market alignment, keep educational…
Descriptors: Taxonomy, Artificial Intelligence, Data Collection, Data Analysis
Diana Louise Nestico-Arnold – ProQuest LLC, 2023
Elementary school teachers struggle to collect and use reading progress data to make instructional decisions. Collecting and interpreting reading progress data when making instructional decisions allows districts to identify and support students who need early reading intervention and may protect districts from Free Appropriate Public Education…
Descriptors: Progress Monitoring, Reading Achievement, Data Use, Decision Making
Wong, Billy Tak-Ming; Li, Kam Cheong; Choi, Samuel Ping-Man – Interactive Technology and Smart Education, 2018
Purpose: This paper aims to review and identify the major patterns and trends in learning analytics practices in higher education institutions. The review covers the characteristics of the institutions, as well as the characteristics and outcomes of the learning analytics practices. Design/methodology/approach: This research collected literature…
Descriptors: Educational Trends, Educational Practices, Educational Research, Data Collection
Di Mitri, Daniele; Schneider, Jan; Specht, Marcus; Drachsler, Hendrik – Journal of Computer Assisted Learning, 2018
Multimodality in learning analytics and learning science is under the spotlight. The landscape of sensors and wearable trackers that can be used for learning support is evolving rapidly, as well as data collection and analysis methods. Multimodal data can now be collected and processed in real time at an unprecedented scale. With sensors, it is…
Descriptors: Educational Research, Data Collection, Data Analysis, Learning Modalities
Heiden, Kathleen – Journal of Family and Consumer Sciences, 2018
Research is beneficial for student learning in undergraduate curricula. Undergraduate students who actively participate in research develop problem solving skills and learn to think independently. However, with limited faculty resources at many universities, only elite undergraduate students participate in research programs. This paper provides a…
Descriptors: Partnerships in Education, Mentors, Undergraduate Students, Teaching Methods
Chezan, Laura C.; Petcu, Stefania D.; Van Horn, M. Lee – Journal of Intellectual & Developmental Disability, 2018
Background: Examining the data collection practices implemented by postsecondary education programs for students with intellectual and developmental disability represents the first step in documenting student progress, making programmatic data-based decisions, and evaluating the overall program effectiveness in preparing students for competitive…
Descriptors: Postsecondary Education, Intellectual Disability, Developmental Disabilities, Data Collection
Güngör, Semra Kiranli – International Journal of Instruction, 2018
In this study, it was aimed to examine the postgraduate theses and articles on ethical leadership in Turkey by gathering them through the document analysis method and by using content analysis. In this direction, all of the postgraduate theses and articles that can be accessed in the electronic environment as a full-text were included in the scope…
Descriptors: Foreign Countries, Graduate Students, Doctoral Dissertations, Masters Theses
Schumacher, Clara; Ifenthaler, Dirk – Journal of Computing in Higher Education, 2018
Depending on their motivational dispositions, students choose different learning strategies and vary in their persistence in reaching learning outcomes. As learning is more and more facilitated through technology, analytics approaches allow learning processes and environments to be analyzed and optimized. However, research on motivation and…
Descriptors: Student Motivation, Learning Strategies, Goal Orientation, Self Concept
Golden, Cindy – Brookes Publishing Company, 2018
Collecting data on behavior, academic skills, and Individualized Education Plan (IEP) goals is an essential step in showing student progress--but it can also be a complicated, time-consuming process. Take the worry and stress out of data collection with this ultra-practical resource, packed with the tools you need to organize, manage, and monitor…
Descriptors: Data Collection, Information Management, Student Records, Student Behavior
Hauk, Shandy; Matlen, Bryan; Ramirez, Alma B. – Grantee Submission, 2018
Imagine a large randomized controlled trial study of a mathematics educational intervention planned in two large urban districts. District 1 gets a new administrator and drops out. In the meantime, the state test changed, so one of the planned outcome measures is no longer usable. Teacher dropout is high. And, as the analysis is being completed,…
Descriptors: Student Recruitment, Data Collection, Shared Resources and Services, Flipped Classroom
Office of Educational Technology, US Department of Education, 2024
Digital health, safety, and citizenship skills reflect the full set of knowledge and habits students can adopt to protect themselves and others in online spaces. For schools and districts, protecting student health and safety while those skills develop means taking an approach that can include policies governing the use of school-provided…
Descriptors: LGBTQ People, Minority Group Students, Student Behavior, Safety

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