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Azevedo, Joaquim – Education Policy Analysis Archives, 2023
This study focuses on the analysis of school exclusion, which underlies and causes early school leaving, in 20 schools around Porto, Portugal. It is based on the qualitative and documental study of the personal school files of 25 youth, born between 1996 and 2003, who have left school and are now in a situation of social exclusion. We created a…
Descriptors: Dropouts, Foreign Countries, Social Isolation, At Risk Students
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F. Chris Curran; Lelydeyvis Boza; Katharine Harris-Walls; Tiffany S. Tan – Educational Evaluation and Policy Analysis, 2024
Research using school discipline and infraction data has contributed to public policy conversations by helping elucidate the effects of and disproportionate experience of school disciplinary outcomes. This research brief presents results from an analysis of the public availability of such data from state departments of education. Findings suggest…
Descriptors: Educational Policy, Discipline Policy, Information Retrieval, Access to Information
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Clutterbuck, Jennifer; Hardy, Ian; Creagh, Sue – Journal of Education Policy, 2023
In this article, we reveal the nature and effects of data infrastructures on the authorisation of data that represent students and educational practitioners, including how such data can misrepresent and govern educational policy and practices in sometimes problematic ways. To better understand the governance capacities of data infrastructures, we…
Descriptors: Data Analysis, Governance, Educational Policy, Educational Practices
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Aom Perkash; Qaisar Shaheen; Robina Saleem; Furqan Rustam; Monica Gracia Villar; Eduardo Silva Alvarado; Isabel de la Torre Diez; Imran Ashraf – Education and Information Technologies, 2024
Developing tools to support students, educators, intuitions, and government in the educational environment has become an important task to improve the quality of education and learning outcomes. Information and communication technology (ICT) is adopted by educational institutions; one such instance is video interaction in flipped teaching.…
Descriptors: Academic Achievement, Colleges, Artificial Intelligence, Predictor Variables
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Chinsook, Kittipong; Khajonmote, Withamon; Klintawon, Sununta; Sakulthai, Chaiyan; Leamsakul, Wicha; Jantakoon, Thada – Higher Education Studies, 2022
Big data is an important part of innovation that has recently attracted a lot of interest from academics and practitioners alike. Given the importance of the education industry, there is a growing trend to investigate the role of big data in this field. Much research has been undertaken to date in order to better understand the use of big data in…
Descriptors: Student Behavior, Learning Analytics, Computer Software, Rating Scales
Jessica L. Foley – ProQuest LLC, 2021
Research has shown trauma-informed care in schools is effective in reducing the impact of trauma on children, as well as bolstering future success in those who are at-risk for experiencing trauma. Improving students school climate, emotion regulation strategies, learning behaviors, and friendships in middle school students is effective in…
Descriptors: Program Evaluation, Trauma Informed Approach, At Risk Students, Educational Environment
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Buxton, Patricia S. – Journal of Research in Education, 2021
The abundance of student records housed in K-12 schools across the country represents a largely untapped resource in the study of behavioral phenomena among children. Careful review of these existing records affords educational researchers an alternative to the heavily used survey method of data collection. While record review studies are common…
Descriptors: Student Records, Educational Research, Research Methodology, Child Behavior
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Richardson, Michael D.; Lemoine, Pamela A.; Stephens, Walter E.; Waller, Robert E. – Educational Planning, 2020
Cybersecurity has emerged as one of the most critical issues confronting schools in the 21st century. Computer security is an essential instrument for protecting children, but K-12 schools are considered one of the most attractive targets for data privacy crimes often due to the less-than-effective cybersecurity practices in schools. The human…
Descriptors: Elementary Secondary Education, Computer Security, Information Security, Privacy
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
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Clare, Joseph; Walker, Sonia; Hobson, Julia – International Journal for Educational Integrity, 2017
Objectives: Building on what is known about the non-random nature of crime problems and the explanatory capacity of opportunity theories of crime, this study explores the utility of using existing university administrative data to detect unusual patterns of performance consistent with a student having engaged in contract cheating (paying a…
Descriptors: Crime, Student Records, Student Behavior, Performance
Education Week, 2022
The use of technology in K-12 education is now more widespread than it ever was before the pandemic, and that is the case even though nearly all schools across the country have transitioned back to in-person learning. Record numbers of students now have their own school-issued digital devices, educators have become more critical evaluators of…
Descriptors: Elementary Secondary Education, Educational Technology, Technology Uses in Education, Barriers
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Jeon, Byungsoo; Shafran, Eyal; Breitfeller, Luke; Levin, Jason; Rosé, Carolyn P. – International Educational Data Mining Society, 2019
This paper addresses a key challenge in Educational Data Mining, namely to model student behavioral trajectories in order to provide a means for identifying students most at risk, with the goal of providing supportive interventions. While many forms of data including clickstream data or data from sensors have been used extensively in time series…
Descriptors: Online Courses, At Risk Students, Academic Achievement, Academic Failure
Yahya, Muhammad; Wijoyo, Hadion – Online Submission, 2020
This research aims to develop a student data management system at 9 Tapung Junior High School (SMP) Negeri 9 Tapung, which has not documented using a computer or school web using text-based programming languages like HTML, JavaScript, CSS, and PHP. The student information system design at SMP Negeri 9 Tapung in its manufacture uses a literacy…
Descriptors: Junior High Schools, Information Systems, Student Records, Student Characteristics
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Kilpatrick, Kayla D.; Maras, Melissa A.; Brann, Kristy L.; Kilgus, Stephen P. – School Psychology Review, 2018
The first purpose of the current study was to examine the defensibility of common recommendations for the frequency of screening administrations. The second purpose was to examine the internal consistency and criterion-related validity of the Devereux Student Strengths Assessment (DESSA)-mini (Naglieri, LeBuffe, & Shapiro, 2011a), a…
Descriptors: Screening Tests, At Risk Persons, Social Development, Emotional Response
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Branoff, Theodore; Ernst, Jeremy V.; Clark, Aaron C.; Deluca, V. William; Kelly, Daniel P. – Technology and Engineering Teacher, 2018
Being able to accurately evaluate students' cognitive, affective, and psychomotor development at the beginning of a course is critical for teachers to create meaningful learning experiences for them. Initial student evaluation provides teachers with quick perceptive and practical knowledge of student characteristics as well as a diagnosis of what…
Descriptors: Student Evaluation, Student Characteristics, Evaluation Methods, Academic Ability
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