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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
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
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
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
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
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
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
Lavigne, Alyson L.; Olson, Amy M. – Leadership and Policy in Schools, 2020
The current study explores how principals (n = 568) experience a new teacher evaluation model under Race to the Top. Findings suggest that principals felt the least confident in their ability to identify teacher behaviors associated with student achievement gains and placed the least value on student achievement data. Evaluation experience…
Descriptors: Teacher Evaluation, Value Added Models, Academic Achievement, Accountability
McKay, Heather; Haviland, Sara; Michael, Suzanne – Western Interstate Commission for Higher Education, 2020
The Multistate Longitudinal Data Exchange (MLDE) facilitates data sharing between states from K-12 education, higher education, and labor agencies. Its goal is to provide practitioners, policymakers, and researchers with a comprehensive data source to understand educational and career trajectories, including how these trajectories can cross state…
Descriptors: Trust (Psychology), Longitudinal Studies, State Universities, State Agencies
Rennie Center for Education Research & Policy, 2020
Defining and measuring success are not merely process steps, but critical conversations that shape how education is understood and delivered. They influence how individuals within and outside the system perceive the goals of education. They shape the incentives for stakeholders seeking to improve educational outcomes. Methods of measuring success…
Descriptors: Academic Achievement, Educational Assessment, Measurement, Measurement Objectives
European Training Foundation, 2020
The end of the school year is approaching in most countries of the EU neighbourhood and Central Asia. Most countries closed schools and all forms of face-to-face education and training in mid-March/early April 2020. As the crisis progresses, a stable picture is emerging. Countries have passed through similar stages since the outbreak: being…
Descriptors: COVID-19, Pandemics, Foreign Countries, Disease Control

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