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Saba Sareminia; Vida Mohammadi Dehcheshmeh – International Journal of Information and Learning Technology, 2024
Purpose: Although E-learning has been in use for over two decades, running parallel to traditional learning systems, it has gained increased attention due to its vital role in universities in the wake of the COVID-19 pandemic. The primary challenge within E-learning pertains to the maintenance of sustainable effectiveness and the assurance of…
Descriptors: Educational Improvement, Electronic Learning, Personality Traits, Models
Kathy Kremer – Intersection: A Journal at the Intersection of Assessment and Learning, 2024
Colleges and universities depend upon external approvals from accreditors, government agencies, and national organizations. These approvals require periodic review of institution-prepared reports and self-studies documenting the continued validity of offered degrees and programs, student support and success, institutional effectiveness, and…
Descriptors: Higher Education, Educational Improvement, Professional Continuing Education, Data Collection
Hongyu Liu; Young Chun Ko – International Journal of Web-Based Learning and Teaching Technologies, 2024
With the development of the information age, the quality of physical education teaching in universities has become an important goal of teaching reform. Improving the quality of physical education and significantly improving students' physical fitness is one of the development goals of higher education. Therefore, this article proposes an…
Descriptors: Physical Education, Higher Education, Educational Quality, Educational Improvement
Arnold, Nathan; Voight, Mamie; Morales, Jessica; Dancy. Kim; Coleman, Art – Institute for Higher Education Policy, 2019
As the higher education landscape has expanded beyond issues of access and affordability to include an emphasis on student completion and employment outcomes, accreditors can play a leadership role in advancing this important change. A shift to student success that rightfully centers in part on closing equity gaps between low-income students and…
Descriptors: Educational Improvement, Accreditation (Institutions), Data Use, Academic Achievement
Kelchen, Robert; Rosinger, Kelly Ochs; Ortagus, Justin C. – AERA Open, 2019
As state governments seek to improve the performance of institutions of K-12 and higher education, they often adopt educational policies that have similar names but different characteristics across states and with variations over time within states. Yet quantitative analyses generally examine the absence or presence of an educational policy…
Descriptors: Educational Policy, Policy Analysis, Educational Finance, Data Analysis
Barret, Mandy; Branson, Lisa; Carter, Sheryl; DeLeon, Frank; Ellis, Justin; Gundlach, Cirrus; Lee, Dale – Inquiry, 2019
Artificial intelligence (AI) technology is becoming the basis for business. Most businesses use it to improve the customer experience. The education community is just beginning to find ways to successfully implement AI for staff and students. Artificial Intelligence should be leveraged to create a better student experience. For example, Elon…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Educational Opportunities
Melnick, Hanna; Meloy, Beth; Gardner, Madelyn; Wechsler, Marjorie; Maier, Anna – Learning Policy Institute, 2018
There is overwhelming evidence that children's early years, from birth through preschool, are a crucial time for their development, and that high-quality early learning opportunities support children's school readiness, promote later life success, and yield a return of up to $7 for every $1 invested. Unfortunately, despite having the sixth-largest…
Descriptors: Early Childhood Education, Educational Administration, Access to Education, Early Childhood Teachers
Fulcher, Keston H.; Smith, Kristen L.; Sanchez, Elizabeth R. H.; Ames, Allison J.; Meixner, Cara – Research & Practice in Assessment, 2017
Higher education has made impressive progress concerning student learning outcomes assessment practices. Yet--despite the assumption that better assessment would lead to better student learning--few examples of demonstrable student learning improvement exist at the academic degree or university levels. In 2014 Fulcher, Good, Coleman, and Smith…
Descriptors: Academic Standards, Educational Improvement, Best Practices, Student Evaluation
Wilkerson, Judy R. – Quality Assurance in Education: An International Perspective, 2017
Purpose: Understanding and navigating the differences in standards, and the roots and rationales underlying accreditation reviews, is necessary for all institutions that seek multiple accreditations. The purpose of this paper is to demonstrate a method to assist institutional-level leaders and assessment practitioners analyze and align these…
Descriptors: Accreditation (Institutions), Standards, Evaluation Methods, Higher Education
Higher Education Funding Council for England, 2016
The Higher Education Funding Council for England (HEFCE) asked the Higher Education Statistics Agency (HESA) and the Higher Education Academy (HEA) to undertake research to explore the current issues around academic teaching qualifications in the HESA Staff record and to offer recommendations to improve data quality and coverage in future…
Descriptors: Foreign Countries, Higher Education, Teacher Qualifications, College Faculty
Wang, Zhanjun; Qiao, Weifeng; Li, Jiangbo – Chinese Education & Society, 2016
Higher education monitoring evaluation is a process that uses modern information technology to continually collect and deeply analyze relevant data, visually present the state of higher education, and provide an objective basis for value judgments and scientific decision making by diverse bodies Higher education monitoring evaluation is…
Descriptors: Higher Education, Progress Monitoring, School Statistics, Academic Achievement
Lane, Jason E., Ed. – SUNY Press, 2014
The Big Data movement and the renewed focus on data analytics are transforming everything from healthcare delivery systems to the way cities deliver services to residents. Now is the time to examine how this Big Data could help build smarter universities. While much of the cutting-edge research that is being done with Big Data is happening at…
Descriptors: Data Analysis, Data Collection, Educational Research, Higher Education
Jackson, Jerlando F. L.; Charleston, LaVar J.; Gilbert, Juan E. – Journal of STEM Education: Innovations and Research, 2014
According to the National Science Foundation (NSF; 2006), science and engineering jobs constitute a growing sector of the United States economy. The number of science and engineering degrees has lagged behind this occupational growth. In describing Wisconsin's technology profile, Winters, Strang, and Klus (2000) report that the state is nationally…
Descriptors: STEM Education, Strategic Planning, Research Methodology, Regional Characteristics
Office of Finance and Operations, US Department of Education, 2019
The purpose of the United States Department of Education's (the Department) Fiscal Year (FY) 2019 "Agency Financial Report" (AFR) is to inform Congress, the President, other external stakeholders, and the American people on how the Department used the federal resources entrusted to it to promote student achievement and preparation for…
Descriptors: Educational Finance, State Departments of Education, Educational Legislation, Elementary Secondary Education
Rosenberg, Mark B., Ed.; Hilton, Margaret L., Ed.; Dibner, Kenne A., Ed. – National Academies Press, 2018
Science, technology, engineering and mathematics (STEM) professionals generate a stream of scientific discoveries and technological innovations that fuel job creation and national economic growth. Ensuring a robust supply of these professionals is critical for sustaining growth and creating jobs growth at a time of intense global competition.…
Descriptors: Educational Indicators, Progress Monitoring, Undergraduate Students, STEM Education