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Wong, Billy Tak-ming; Li, Kam Cheong; Cheung, Simon K. S. – Journal of Computing in Higher Education, 2023
This paper presents an analysis of learning analytics practices which aimed to achieve personalised learning. It addresses the need for a systematic analysis of the increasing amount of practices of learning analytics which are targeted at personalised learning. The paper summarises and highlights the characteristics and trends in relevant…
Descriptors: Learning Analytics, Individualized Instruction, Context Effect, Stakeholders
Viberg, Olga; Mutimukwe, Chantal; Grönlund, Åke – Journal of Learning Analytics, 2022
Protection of student privacy is critical for scaling up the use of learning analytics (LA) in education. Poorly implemented frameworks for privacy protection may negatively impact LA outcomes and undermine trust in the discipline. To design and implement models and tools for privacy protection, we need to understand privacy itself. To develop…
Descriptors: Privacy, Learning Analytics, Educational Research, Definitions
Anca Greere; Catherine Riley – Tuning Journal for Higher Education, 2024
Drawing on the data collected via a European funded project with eleven higher education partners, the article proposes a five-stage working model which can be adopted in and adapted to different institutional contexts so as to shift perceptions, strengthen engagement and channel commitment with a view to developing the desired quality culture.…
Descriptors: Quality Assurance, Foreign Countries, Data Analysis, Higher Education
Steve R. Entrich; Nicolai Netz; Ryoji Matsuoka – Higher Education: The International Journal of Higher Education Research, 2024
We contribute to research on social inequalities in educational attainment by examining the role of institutional contexts for students' study abroad (SA) intent and participation. To do so, we extend the individual-level rational choice model predicting SA intent and participation depending on students' socioeconomic status (SES) into a…
Descriptors: Study Abroad, Socioeconomic Status, Universities, College Students
Betsy Wolf – Grantee Submission, 2024
The What Works Clearinghouse (WWC) at the Institute of Education Sciences reviews rigorous research on educational practices, policies, programs, and products with a goal of identifying 'what works' and making that information accessible to the public. One critique of the WWC is the need to more closely examine 'what works' for whom, in which…
Descriptors: Data Use, Educational Research, Student Characteristics, Context Effect
Catherine P. Bradshaw; Jonathan Cohen; Dorothy L. Espelage; Maury Nation – Grantee Submission, 2021
School climate has received considerable attention in the literature and educational policy as a potential target for school improvement and school safety efforts. This paper provides a critical review and synthesis of the literature on school climate, with a particular focus on topics related to measurement, data collection, analysis, as well as…
Descriptors: School Safety, Educational Environment, School Psychologists, Role
Catherine P. Bradshaw; Jonathan Cohen; Dorothy L. Espelage; Maury Nation – School Psychology Review, 2021
School climate has received considerable attention in the literature and educational policy as a potential target for school improvement and school safety efforts. This paper provides a critical review and synthesis of the literature on school climate, with a particular focus on topics related to measurement, data collection, analysis, as well as…
Descriptors: School Safety, Educational Environment, School Psychologists, Role
Piety, Philip J. – Review of Research in Education, 2019
This chapter reviews actionable data use--both as an umbrella term and as a specific concept--developed in three different traditions that data/information can inform and guide P-20 educational practice toward better outcomes. The literatures reviewed are known as data-driven decision making (DDDM), education data mining (EDM), and learning…
Descriptors: Educational Practices, Data Use, Outcomes of Education, Learning Analytics
Lester, Jaime; Klein, Carrie; Rangwala, Huzefa; Johri, Aditya – ASHE Higher Education Report, 2017
The purpose of this monograph is to give readers a practical and theoretical foundation in learning analytics in higher education, including an understanding of the challenges and incentives that are present in the institution, in the individual, and in the technologies themselves. Among questions that are explored and answered are: (1) What are…
Descriptors: Educational Research, Data Collection, Data Analysis, Higher Education
Hsu, Yu-Chang; Ching, Yu-Hui – Canadian Journal of Learning and Technology, 2015
Mobile learning has become increasingly popular in the past decade due to the unprecedented technological affordances achieved through the advancement of mobile computing, which makes ubiquitous and situated learning possible. At the same time, there have been research and implementation projects whose efforts centered on developing mobile…
Descriptors: Electronic Learning, Instructional Design, Classification, Models
ACT, Inc., 2011
It is no secret that global markets and innovations in technology are driving rapid change in the U.S. economy. While much has been said over the years about the employment shift from goods-producing to service-providing industries, new research suggests that the shift is not due to sectoral employment change but rather a shift in the mix of jobs…
Descriptors: Economic Climate, Context Effect, Marketing, Global Approach
Walsh, Jeffrey A.; Krienert, Jessie L. – Journal of Interpersonal Violence, 2009
This article examines 11 years (1995-2005) of National Incident Based Reporting System data comparing victim, offender, and incident characteristics for two types of child-initiated family violence: child-parent violence (CPV) and parricide. The objective is to better understand the victim-offender relationship for CPV and parricide and to…
Descriptors: Family Violence, Parent Child Relationship, Death, Parents
Whitehurst, Grover J.; Chingos, Matthew M. – Brookings Institution, 2011
Class size is one of the small number of variables in American K-12 education that are both thought to influence student learning and are subject to legislative action. Legislative mandates on maximum class size have been very popular at the state level. In recent decades, at least 24 states have mandated or incentivized class-size reduction…
Descriptors: Class Size, Elementary Secondary Education, Small Classes, Performance Factors
Wray-Lake, Laura; Syvertsen, Amy K.; Briddell, Laine; Osgood, D. Wayne; Flanagan, Constance A. – Youth & Society, 2011
Using data from the Monitoring the Future study, this article presents historical trends in U.S. high school seniors' work values across 30 years (1976-2005). Adolescents across three decades highly valued most aspects of work examined. Recent cohorts showed declines in the importance of work, values for job security, and various potential…
Descriptors: Adolescents, High School Seniors, Value Judgment, Data Analysis
Chay, Kenneth Y.; Guryan, Jonathan; Mazumder, Bhashkar – Federal Reserve Bank of Chicago, 2009
One literature documents a significant, black-white gap in average test scores, while another finds a substantial narrowing of the gap during the 1980's, and stagnation in convergence after. We use two data sources--the Long Term Trends NAEP and AFQT scores for the universe of applicants to the U.S. military between 1976 and 1991--to show: (1) the…
Descriptors: Cohort Analysis, Achievement Gap, Racial Differences, Hospitals