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Data Quality Campaign, 2023
The Data Quality Campaign (DQC) has been reviewing state report cards for the past seven years. They continue to examine the landscape of state report cards because they believe states must increase transparency and build trust by sharing information. But after many years, it was time to look at state report cards with fresh eyes. In addition to…
Descriptors: Parent Attitudes, Data Collection, Information Dissemination, Parents
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Done, Elizabeth J.; Knowler, Helen – Educational Review, 2022
In this paper, the concepts of fabrication, subjectivation and performativity are mobilised in an analysis of varied exclusionary practices in England's schools with particular reference to "off-rolling", defined by the national school inspectorate as the illegal removal of a student from a school roll in order to enhance academic…
Descriptors: Admission (School), Principals, Inclusion, Foreign Countries
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Premaraja, Ruwan P. – International Journal of Learning and Change, 2022
This study focuses on the experimental design concept to test the association between academic achievement and sports participation of secondary students. This association was tested using qualitative and quantitative data analysis through a case study. Findings displayed a similarity with the conceptual model by Fejgin (1994), with three…
Descriptors: Data Collection, Student Participation, Athletics, Academic Achievement
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Butuner, Resul; Calp, M. Hanefi – International Journal of Assessment Tools in Education, 2022
Many institutions in the field of education have been involved in distance education with the learning management system. In this context, there has been a rapid increase in data in the e-learning process as a result of the development of technology and the widespread use of the internet. This increase is in the size of large data. Today, big data…
Descriptors: Distance Education, Academic Achievement, Data Collection, Data Analysis
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Alturki, Sarah; Alturki, Nazik; Stuckenschmidt, Heiner – Journal of Information Technology Education: Innovations in Practice, 2021
Aim/Purpose: One of the main objectives of higher education institutions is to provide a high-quality education to their students and reduce dropout rates. This can be achieved by predicting students' academic achievement early using Educational Data Mining (EDM). This study aims to predict students' final grades and identify honorary students at…
Descriptors: Data Collection, Data Analysis, Grade Prediction, Academic Achievement
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Göktepe Körpeoglu, Seda; Göktepe Yildiz, Sevda – Education and Information Technologies, 2023
Examining students' attitudes towards STEM (science, technology, engineering, and mathematics) fields starting from middle school level is important in their career choices and future planning. However, there is a need to investigate which variables affect students' attitudes towards STEM. Here, we aimed to estimate middle school students'…
Descriptors: Comparative Analysis, Algorithms, Data Collection, Student Attitudes
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Costa-Mendes, Ricardo; Oliveira, Tiago; Castelli, Mauro; Cruz-Jesus, Frederico – Education and Information Technologies, 2021
This article uses an anonymous 2014-15 school year dataset from the Directorate-General for Statistics of Education and Science (DGEEC) of the Portuguese Ministry of Education as a means to carry out a predictive power comparison between the classic multilinear regression model and a chosen set of machine learning algorithms. A multilinear…
Descriptors: Foreign Countries, High School Students, Grades (Scholastic), Electronic Learning
Education Trust, 2023
Texans ages 25-34 who earn an associate degree are nearly twice as likely to earn at least $50,000 per year than those who don't earn a degree (24% vs. 13%). Those earning a bachelor's degree or higher are nearly four times as likely to reach this self-sustaining wage (49% vs. 13%). If every eighth grader in Harris County were to earn an associate…
Descriptors: College Readiness, Career Readiness, High School Graduates, Educational Attainment
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Ricker, Gina M.; Koziarski, Mathew; Walters, Alyssa M. – Journal of Online Learning Research, 2020
The relationship between student activity data and performance in the online classroom is well-documented, yet the parameters of this relationship and their implications for K-12 online schools are not yet well understood. This study examined the role of student chronotype (defined here as the time of day a student is most active in an online…
Descriptors: Electronic Learning, Online Courses, Student Behavior, Data Collection
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Sarica, Rabia – Acta Didactica Napocensia, 2020
Importance and prevalence of STEM, which is a holistic educational approach that includes science, technology, engineering and mathematics, has been increasing in recent years. It is stated that STEM is very important for countries to compete and stand out in the new world order and economy. In this study, postgraduate theses on STEM education in…
Descriptors: Masters Theses, Doctoral Dissertations, STEM Education, Educational Research
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K. Brigid Flannery; Mimi McGrath Kato; Angus Kittelman; Nadia Katul Sampson; Kent McIntosh – Behavioral Disorders, 2024
The purpose of this study was to provide initial evidence of the effectiveness of Check-In/Check-Out-High School (CICO-HS) on high school student outcomes. Check-In/Check-Out-High School is a version of CICO, an established Tier 2 intervention designed to improve student academic and social behavior, adapted to increase effectiveness and…
Descriptors: High School Students, Intervention, Positive Behavior Supports, Program Effectiveness
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Agley, Jon; Tidd, David; Jun, Mikyoung; Eldridge, Lori; Xiao, Yunyu; Sussman, Steve; Jayawardene, Wasantha; Agley, Daniel; Gassman, Ruth; Dickinson, Stephanie L. – Educational and Psychological Measurement, 2021
Prospective longitudinal data collection is an important way for researchers and evaluators to assess change. In school-based settings, for low-risk and/or likely-beneficial interventions or surveys, data quality and ethical standards are both arguably stronger when using a waiver of parental consent--but doing so often requires the use of…
Descriptors: Data Analysis, Longitudinal Studies, Data Collection, Intervention
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
Flannery, K. Brigid; Kato, Mimi McGrath; Horner, Robert H. – Technical Assistance Center on Positive Behavioral Interventions and Supports, 2019
Using data for decision-making is critical for schoolwide leadership teams and has been shown to enhance both social and academic outcomes for students (Faria et al., 2017). Using data effectively, however, requires that teams have a clear vision about the type of data, format of data presentation, and process for using data. To avoid expending…
Descriptors: High School Students, Data Use, Outcomes of Education, Positive Behavior Supports
Baird, Francine M. – ProQuest LLC, 2018
This study examined the effects of John Kotter's Eight Steps for Successful Change framework and strategies in systems implementation in a secondary educational environment. Teachers' perceptions of the effectiveness of Kotter's strategies used by their administrative team to support positive change were examined. The study evaluated data provided…
Descriptors: Secondary School Teachers, Teacher Attitudes, Change Strategies, Educational Change
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