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Gruss, Richard; Clemons, Josh – Journal of Computer Assisted Learning, 2023
Background: The sudden growth in online instruction due to COVID-19 restrictions has given renewed urgency to questions about remote learning that have remained unresolved. Web-based assessment software provides instructors an array of options for varying testing parameters, but the pedagogical impacts of some of these variations has yet to be…
Descriptors: Test Items, Test Format, Computer Assisted Testing, Mathematics Tests
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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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Mihyun Son; Minsu Ha – Education and Information Technologies, 2025
Digital literacy is essential for scientific literacy in a digital world. Although the NGSS Practices include many activities that require digital literacy, most studies have examined digital literacy from a generic perspective rather than a curricular context. This study aimed to develop a self-report tool to measure elements of digital literacy…
Descriptors: Test Construction, Measures (Individuals), Digital Literacy, Scientific Literacy
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He, Qiwei; Borgonovi, Francesca; Suárez-Álvarez, Javier – Journal of Computer Assisted Learning, 2023
Background: Data-driven investigations of how students transit pages in digital reading tasks and how much time they spend on each transition allow mapping sequences of navigation behaviours into students' navigation reading strategies. Objectives: The purpose of this study is threefold: (1) to identify students' navigation patterns in…
Descriptors: Data Analysis, Reading Processes, Task Analysis, Time on Task
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Aydogdu, Seyhmus – Education and Information Technologies, 2020
Prediction of student performance is one of the most important subjects of educational data mining. Artificial neural networks are seen to be an effective tool in predicting student performance in e-learning environments. In the studies carried out with artificial neural networks, performance predictions based on student scores are generally made,…
Descriptors: Prediction, Academic Achievement, Electronic Learning, Artificial Intelligence
Junpeng Yan – ProQuest LLC, 2020
This dissertation investigates several topics in state merit-based financial aid research. The main research content includes three separate studies, primarily using the administrative datasets from the Missouri Department of Higher Education. The first study is an empirical paper that examines the effects of the Missouri Bright Flight Scholarship…
Descriptors: Merit Scholarships, STEM Education, Engineering, Majors (Students)
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Zhu, Mengxiao; Zhang, Mo; Deane, Paul – ETS Research Report Series, 2019
The research on using event logs and item response time to study test-taking processes is rapidly growing in the field of educational measurement. In this study, we analyzed the keystroke logs collected from 761 middle school students in the United States as they completed a persuasive writing task. Seven variables were extracted from the…
Descriptors: Keyboarding (Data Entry), Data Collection, Data Analysis, Writing Processes
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Gardner, Paul – English in Australia, 2018
The 2017 NAPLAN results were followed by political and media attention focusing on a decline in achievement in writing. This article analyses NAPLAN data to identify the locus of the decline. Contrary to media reports in which it was suggested Year 3 was problematic, the article systematically compares NAPLAN results between 2011 and 2017 to…
Descriptors: Test Score Decline, Data Analysis, Academic Achievement, Writing Achievement
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Logan, Tracy; Lowrie, Tom – Research in Mathematics Education, 2017
Most large-scale summative assessments present results in terms of cumulative scores. Although such descriptions can provide insights into general trends over time, they do not provide detail of how students solved the tasks. Less restrictive access to raw data from these summative assessments has occurred in recent years, resulting in…
Descriptors: Foreign Countries, Gender Differences, Spatial Ability, Mathematics Skills
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Hanson, Stephen José; Saunders, Stephanie; Aponte, Arcelio; Copeland, Robert; Nettles, Michael – ETS Research Report Series, 2020
The academic achievement gap is a persistent and pernicious educational challenge confounded with race and socioeconomic status. The achievement gap persists despite over three decades of interventions and federal, state, and local policies and initiatives meant to close it. We examine the achievement gap in one of the most diverse states in the…
Descriptors: Achievement Gap, Racial Differences, Ethnicity, Socioeconomic Status
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Annika Rigole; Sonakshi Sharma; Jessica Bergmann – UNICEF Innocenti - Global Office of Research and Foresight, 2023
Recognizing that children's learning outcomes generally remain low, in its recent 2017--2021 Education and Skills Sector Plan (ESSP) the Government of Zambia prioritized improving learning outcomes through strategies that addressed gaps in education system quality, access, equity and efficiency. What resources and contextual factors are associated…
Descriptors: School Effectiveness, Outcomes of Education, Educational Strategies, Access to Education
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Brown, Alan V.; Thompson, Gregory L. – Foreign Language Annals, 2016
Using a data set exclusively prepared for and licensed to them by the College Board, the authors examined the growth of the Advanced Placement program in foreign languages and overall trends in regard to the number of candidates who sat for the foreign language exams, their gender, their scores, and their ethnicity over the 36-year period covering…
Descriptors: Data Analysis, Advanced Placement Programs, Trend Analysis, Student Participation
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Hallinger, Philip; Dongyu, Li; Wang, Wen-Chung – Educational Administration Quarterly, 2016
Purpose: Instructional leadership has assumed steadily increasing importance within the general role set of principals over the past 60 years. One persisting finding within this corpus of studies concerns the consistently higher ratings obtained by female principals on instructional leadership when compared with their male counterparts. This…
Descriptors: Gender Differences, Instructional Leadership, Meta Analysis, Principals
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Kiwanuka, Henry Nsubuga; Van Damme, Jan; Van Den Noortgate, Wim; Anumendem, Dickson Nkafu; Namusisi, Speranza – South African Journal of Education, 2015
This study explores the sources of variability in Mathematics achievement of Ugandan students at the student, classroom and school level. The Mathematics score and questionnaire responses of 4,819 first-year secondary school students (Grade Seven, about 14-15 years old) from 78 classrooms of 49 schools were analysed. A three-level linear model was…
Descriptors: Foreign Countries, Secondary School Mathematics, Secondary School Students, Performance Factors
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Franklin, Bobby J.; Trouard, Stephen B. – Journal of Educational Research, 2016
The purpose of this study was to examine the effectiveness of dropout predictors across time. Two state-level high school graduation panels were selected to begin with the seventh and ninth grades but end at the same time. The first panel (seventh grade) contained 29,554 students and used sixth grade predictors. The second panel (ninth grade)…
Descriptors: Potential Dropouts, Predictor Variables, Grade 7, Grade 9
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