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Klint Kanopka – ProQuest LLC, 2023
As online learning platforms and computerized testing become more common, an increasing amount of data are collected about users. These data include, but are not limited to, response time, keystroke logs, and raw text. The desire to observe these features of the response process reflect an underlying interest in the cognitive processes and…
Descriptors: Scores, Computation, Data Interpretation, Behavior Patterns
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Abu Saa, Amjed; Al-Emran, Mostafa; Shaalan, Khaled – Technology, Knowledge and Learning, 2019
Predicting the students' performance has become a challenging task due to the increasing amount of data in educational systems. In keeping with this, identifying the factors affecting the students' performance in higher education, especially by using predictive data mining techniques, is still in short supply. This field of research is usually…
Descriptors: Performance Factors, Data Analysis, Higher Education, Academic Achievement
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Olney, Tom; Walker, Steve; Wood, Carlton; Clarke, Anactoria – Journal of Learning Analytics, 2021
Most higher education institutions view their increasing use of learning analytics as having significant potential to improve student academic achievement, retention outcomes, and learning and teaching practice but the realization of this potential remains stubbornly elusive. While there is an abundance of published research on the creation of…
Descriptors: Learning Analytics, Higher Education, STEM Education, College Faculty
Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – Annenberg Institute for School Reform at Brown University, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Higher Education, Predictive Measurement, Models
Webber, Karen L., Ed.; Zheng, Henry, Ed. – Johns Hopkins University Press, 2020
The continuing importance of data analytics is not lost on higher education leaders, who face a multitude of challenges, including increasing operating costs, dwindling state support, limits to tuition increases, and increased competition from the for-profit sector. To navigate these challenges, savvy leaders must leverage data to make sound…
Descriptors: Data Use, Decision Making, Learning Analytics, Higher Education
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Fako, Thabo T.; Nkhukhu-Orlando, Esther; Wilson, Debra R.; Forcheh, Ntonghanwah; Linn, James G. – International Journal of Educational Administration and Policy Studies, 2018
Organizational commitment is a major determinant of organizational effectiveness and desirable employee attitudes and behaviours. Highly committed academic staff are the backbone of universities since they play an important role in the success of their institutions. This study investigated factors associated with organizational commitment among…
Descriptors: Foreign Countries, Organizational Climate, Performance Factors, Employee Attitudes
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Milliron, Mark David; Malcolm, Laura; Kil, David – Research & Practice in Assessment, 2014
Civitas Learning was conceived as a community of practice, bringing together forward-thinking leaders from diverse higher education institutions to leverage insight and action analytics in their ongoing efforts to help students learn well and finish strong. We define insight and action analytics as drawing, federating, and analyzing data from…
Descriptors: Case Studies, Communities of Practice, Data Analysis, Higher Education
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Johnston, Ron; Manley, David; Jones, Kelvyn; Harris, Richard; Hoare, Anthony – Higher Education Quarterly, 2016
The United Kingdom's Department for Education has recently changed the nature of the AS-level examinations normally taken by students aspiring to enter higher education degree courses one year into their post-compulsory education. In the face of protests from universities and other institutions that this would both harm students' progression…
Descriptors: Foreign Countries, College Admission, Predictor Variables, Higher Education
Riiheläinen, Jari Matti – Education, Audiovisual and Culture Executive Agency, European Commission, 2017
This publication presents some structural indicators on graduate employability in 40 European education and training systems. It examines whether countries use regular labour market forecasting to improve the employability of graduates; moreover, other indicators include the involvement of employers in external quality assurance procedures,…
Descriptors: Foreign Countries, Employment Potential, Graduate Surveys, Labor Market
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Walker, Eddie G., II – Journal of Higher Education Policy and Management, 2016
The accountability of colleges and universities is a high priority for those making policy decisions. The purpose of this study was to determine institutional characteristics predicting retention rates, graduation rates and transfer-out rates using publicly available data from the US Department of Education. Using regression analysis, it was…
Descriptors: Higher Education, Predictive Measurement, Predictive Validity, Prediction
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Faulkner, Fiona; Hannigan, Ailish; Fitzmaurice, Olivia – International Journal of Mathematical Education in Science and Technology, 2014
Evidence of deficiencies in basic mathematical skills of beginning undergraduates has been documented worldwide. Many different theories have been set out as to why these declines in mathematical competency levels have occurred over time. One such theory is the widening access to higher education which has resulted in a less mathematically…
Descriptors: Higher Education, Mathematics Achievement, Prior Learning, Learning Experience
Helm Stevens, Roxanne – ProQuest LLC, 2011
PROBLEM: Many of the preliminary approaches to strategic management of intellectual capital or knowledge assets have not been attempted in the not-for-profit arena. Additionally, because there is no marketplace value for not-for-profit firms or a valuation system for intangible assets, the identification and measurement necessary for efficient and…
Descriptors: Higher Education, Stakeholders, Resource Allocation, Human Capital
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Grosch, Michael – Electronic Journal of e-Learning, 2013
The web 2.0 has already penetrated the learning environment of students ubiquitously. This dissemination of online services into tertiary education has led to constant changes in students' learning and study behaviour. Students use services such as Google and Wikipedia most often not only during free time but also for learning. At the same…
Descriptors: Higher Education, Mass Media Use, Postsecondary Education, Technology Uses in Education
Smith, Peter, Ed. – Association Supporting Computer Users in Education, 2015
The Association Supporting Computer Users in Education (ASCUE) is a group of people interested in small college computing issues. It is a blend of people from all over the country who use computers in their teaching, academic support, and administrative support functions. ASCUE has a strong tradition of bringing its members together to pool their…
Descriptors: Workshops, Administrators, Educational Games, Access to Information
Parveva, Teodora; Motiejunaite, Akvile; Noorani, Sogol; Riihelainen, Jari – Education, Audiovisual and Culture Executive Agency, European Commission, 2016
This Eurydice report contains more than 30 detailed structural indicators, up-to-date figures, definitions, country notes and a short analysis of recent key policy developments and reforms in five areas: early childhood education and care, achievement in basic skills, early leaving from education and training, higher education and graduate…
Descriptors: Foreign Countries, Annual Reports, Educational Indicators, Early Childhood Education
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