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Knight, Jim; Faggella-Luby, Michael – Learning Professional, 2022
Data is so deeply woven into the fabric of people's lives that it is next to impossible to imagine what a data-free life would be like. But despite the centrality of data in everyone's personal lives, when people talk about data in schools, their comments are often negative. The authors of this article believe "data" should not be a…
Descriptors: Coaching (Performance), Teacher Effectiveness, Instructional Effectiveness, Data Use
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Wright, Susan L.; Chitavi, Michael – Research in Higher Education Journal, 2022
This paper describes a process for evaluating student learning at the course-level. Course-level data is used to inform continuous improvement of program-level assessment. The sample consists of direct and indirect measures related to 101 students enrolled in a principles of financial accounting course. Direct measures indicate that most students…
Descriptors: Student Evaluation, Outcomes of Education, Data Collection, Academic Achievement
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Mohd Elmagzoub Eltahir; Najeh Rajeh Alsalhi – Contemporary Educational Technology, 2025
As we examine the pandemic's impact on higher education, we can see that many previously traditional teaching and learning frameworks have been invalidated, and the need for new teaching and learning approaches has increased. This indicates that the traditional frameworks for higher education may no longer be effective. Consequently, there is a…
Descriptors: Foreign Countries, Academic Achievement, Flipped Classroom, Higher Education
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Jennings, Austin S. – Action in Teacher Education, 2023
Contemporary research on preservice teachers' data use opportunities, coursework, and interventions typically focuses on preservice teachers' perceptions about data use comfort, confidence, and preparedness. Despite the contribution of such research to understanding the efficacy of approaches to teacher preparation, understanding preservice…
Descriptors: Preservice Teachers, Student Attitudes, Academic Achievement, Accountability
Thomas M. Kirnbauer – ProQuest LLC, 2021
This dissertation's two primary purposes were to construct an alternative socioeconomic status model and estimate how it predicts student success in higher education. This research filled a gap in knowledge about the widely acknowledged disparities in higher education based on socioeconomic status. Prior research has often relied on parental…
Descriptors: Models, Predictor Variables, Socioeconomic Status, Academic Achievement
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Harris, Lois; Wyatt-Smith, Claire; Adie, Lenore – Teachers and Teaching: Theory and Practice, 2020
Data walls are a data use practice increasingly being adopted in western, Anglophone countries to display student academic achievement data. The purpose of data walls is to improve teaching and learning by helping teachers and/or students to identify patterns of growth and achievement, set goals, and plan instructional interventions or…
Descriptors: Academic Achievement, Data Use, Teaching Methods, Goal Orientation
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Han, Feifei – Journal of Educational Computing Research, 2023
This study examined the extent to which relations between students' perceptions of the learning environment, academic achievement, and study approaches measured by both self-reported and process data were consistent amongst 323 engineering students in a flipped classroom course. A hierarchical cluster analysis on four self-reported scales…
Descriptors: Engineering Education, Study Habits, Student Attitudes, Educational Environment
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Jeffery M. Chernosky; Carissa N. Perez – Educational Forum, 2025
Minimal research has been conducted regarding success factors of high school students in rural districts. Through archival data retrieval, student interviews, and observations, this mixed methods study sought to identify success factors of juniors and seniors enrolled at one rural public school in South Texas. The impact of support systems, the…
Descriptors: Academic Achievement, High School Students, Rural Areas, Family Influence
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Mohamed, Mohamed Hegazy; Abdelgaber, Sayed; Abd-Ellatif, Laila – Journal of Education and e-Learning Research, 2023
Governments and educational authorities around the world are emphasizing performance evaluation of educational systems. Opinion Mining (OM) has gained acceptance among experts in various regions, including the preparation space. The proposed model involves Two modules: the data preprocessing module and the opinion mining module. The main objective…
Descriptors: Educational Practices, Program Evaluation, Opinions, Data Collection
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Mandy Dang; Yulei Gavin Zhang; Susan Williams; Joe Anderson – Information Systems Education Journal, 2024
With businesses increasingly prioritizing data-driven decision making, the demand for business analysts is high and expected to grow. In response, many universities and institutions have developed courses and programs related to business analytics to prepare more graduates for careers in this field. Business analytics programs and educators…
Descriptors: Academic Achievement, Student Satisfaction, Data Analysis, Business Administration Education
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Jibril Ali; Hassan Alsakhe; Ibrahim Ibrahim; Nabil Khattab; Muznah Madeeha; Mustafa Shouia – International Studies in Sociology of Education, 2024
The study draws on the theory of 'migrant optimism' and anticipated discrimination to examine whether a gap in educational expectations and achievement exists between immigrant and native students in Qatar and explores whether the impact of educational expectations on educational achievement is contingent upon the migratory status of students…
Descriptors: Foreign Countries, Data Analysis, Achievement Tests, International Assessment
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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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Jose L. Salas; Xinran Wang; Mary C. Tucker; Ji Y. Son – Online Learning, 2024
Students believe mathematics is best learned by memorization; however, endorsing memorization as a study strategy is associated with a decrease in learning (Schoenfeld, 1989). When the world changed with the onset of the COVID-19 global pandemic, instruction transitioned to fully remote instruction where many assignments and examinations became…
Descriptors: Distance Education, Memorization, Pandemics, COVID-19
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C. J. Appleton; Dara Shifrer; Cesar J. Rebellon – Journal of Early Adolescence, 2024
The literature linking adulthood criminality to cumulative disadvantage and early school misbehavior demonstrates that understanding the mechanisms underlying student behavior and the responses of teachers and administrators is crucial in comprehending racial/ethnic disparities in actual or perceived school misbehavior. We use data on 19,160 ninth…
Descriptors: Data Use, Racial Differences, Behavior Problems, Student Behavior
McDaniel, Christy; Lewis, Bethany; Trimble, Madeline; Ward, James Dean – ITHAKA S+R, 2023
The Texas Student Success Program Inventory (SSPI), available at https://www.highered.texas.gov/sspi, is an online database of information related to student success programs at public colleges and universities, commissioned by the Texas Higher Education Coordinating Board (THECB). Consistent with nearly every other state, prior to the creation of…
Descriptors: Undergraduate Study, Undergraduate Students, Success, Social Support Groups
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