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Saglamgöncü, Ahmet; Deveci, Handan – International Journal of Psychology and Educational Studies, 2022
Practice-based research is perceived as significantly important to enhance the quality of social studies education in the literature. In particular, graduate dissertations have great potential for contributing to the literature, and using research methods, and designs that improve practice is valuable in graduate-level research. This study focuses…
Descriptors: Social Studies, Masters Theses, Doctoral Dissertations, Research Design
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Roegman, Rachel; Tan, Kevin; Tanner, Nathan; Yore, Caitlin – Journal of Educational Administration, 2022
Purpose: Drawing on Coburn and Turner's framework for research on data use, this study looks at how contextual factors support interactions around data. In so doing, the authors contribute to the emerging body of literature on administrators supporting high school students' social-emotional learning (SEL). Design/methodology/approach: This…
Descriptors: High School Students, Social Emotional Learning, Data Use, High Schools
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Bower, Kyle L. – American Journal of Evaluation, 2022
The purpose of this paper is to introduce the Five-Level Qualitative Data Analysis (5LQDA) method for ATLAS.ti as a way to intentionally design methodological approaches applicable to the field of evaluation. To demonstrate my analytical process using ATLAS.ti, I use examples from an existing evaluation of a STEM Peer Learning Assistant program.…
Descriptors: Qualitative Research, Data Analysis, Program Evaluation, Evaluation Methods
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Gkontzis, Andreas F.; Kotsiantis, Sotiris; Panagiotakopoulos, Christos T.; Verykios, Vassilios S. – Interactive Learning Environments, 2022
Attrition is one of the main concerns in distance learning due to the impact on the incomes and institutions reputation. Timely identification of students at risk has high practical value in effective students' retention services. Big Data mining and machine learning methods are applied to manipulate, analyze, and predict students' failure,…
Descriptors: Student Attrition, Distance Education, At Risk Students, Achievement
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Cobern, William W.; Adams, Betty A. J.; Pleasants, Brandy A.-S.; Bentley, Andrew; Kagumba, Robert – Science & Education, 2022
Science includes the fundamental attributes of durability and uncertainty; hence, we teach about the "tentative yet durable" nature of science. Public discourse can be different, where one hears both confidence about "settled science" and doubts about "just theories." The latter observation gives rise to the…
Descriptors: Preservice Teachers, Middle School Teachers, Elementary School Teachers, Student Attitudes
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Hartzel, Kathleen S.; Ozturk, Pinar – Journal of Information Systems Education, 2022
The demand for business and data analysts is growing. The business school is well positioned to offer programs to meet these needs. This paper presents both the findings from a review of the existing literature on data analytics job roles, skills required for those roles and also feedback from industry experts on findings. Three different types of…
Descriptors: Business Schools, Business Administration Education, Data Analysis, Job Skills
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Hamad, Faten; Fakhuri, Hussam; Abdel Jabbar, Sinaria – New Review of Academic Librarianship, 2022
Libraries hold large amounts of data, which can contribute to improvements in the quality of library services. Data resources of modern library have the characteristics of big-data, where library can use big-data methods to achieve reform and innovation, including resource transferring, resource utilisation, social identity, thinking innovation.…
Descriptors: Foreign Countries, Learning Analytics, Academic Libraries, Data Use
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Zhang, Zhonghua – Journal of Experimental Education, 2022
Reporting standard errors of equating has been advocated as a standard practice when conducting test equating. The two most widely applied procedures for standard errors of equating including the bootstrap method and the delta method are either computationally intensive or confined to the derivations of complicated formulas. In the current study,…
Descriptors: Error of Measurement, Item Response Theory, True Scores, Equated Scores
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Rybinski, Krzysztof – Higher Education Research and Development, 2022
This article develops a machine learning methodology to analyse the relationship between university accreditation and student experience. It is applied to 98 university accreditations conducted by the Quality Assurance Agency (QAA) in the UK in 2012-2018, and 263,025 university ratings in three categories posted by students on the website…
Descriptors: Program Evaluation, Accreditation (Institutions), Student Experience, College Students
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Winkler, Bea; Kiszl, Péter – New Review of Academic Librarianship, 2022
Artificial intelligence (AI) is a defining technology of the 21st century, creating new opportunities for academic libraries. The goal of this paper is to provide a much-needed analysis, interpreted in an international context, on what the leaders of academic libraries in East-Central Europe, and specifically in Hungary, think about AI and its…
Descriptors: Foreign Countries, Academic Libraries, Administrators, Artificial Intelligence
Goldhaber, Dan; Krieg, John; Liddle, Stephanie; Theobald, Roddy – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2022
Prior work on teacher candidates in Washington State has shown that about two thirds of individuals who trained to become teachers between 2005 and 2015 and received a teaching credential did not enter the state's public teaching workforce immediately after graduation, while about one third never entered a public teaching job in the state at all.…
Descriptors: Preservice Teachers, Insurance, Unemployment, Data
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Hashimoto, Takehiro; Sato, Takeshi – Research-publishing.net, 2022
This study investigated L2 learners' perception changes at each stage of online collaborative writing. Previous studies revealed the familiarity of L2 collaborative learning with Information and Communication Technology (ICT), whereas few described at which stage of the learning process L2 learners' perceptions change. Therefore, this study…
Descriptors: Second Language Learning, Collaborative Writing, Online Courses, Electronic Learning
John J. Heldrich Center for Workforce Development, 2022
The project, Seeking Work in Southern New Jersey, set out to explore the economic landscape, identify barriers and opportunities to finding and securing a job, and outline challenges to connections between job seekers and employers in Southern New Jersey and the City of Camden. The project's goal was to illuminate the story behind traditional…
Descriptors: Employers, Job Applicants, COVID-19, Pandemics
Susanne DeVore – ProQuest LLC, 2022
The first part of this dissertation conducts a large-scale study comparing general and usage-based indices of syntactic complexity in L2 Mandarin writing samples across a wide range of proficiency levels. To do this, the Tool for the Automated Analysis of Syntactic Sophistication and Complexity (TAASSC; Kyle, 2016) was adapted for Mandarin by…
Descriptors: Syntax, Difficulty Level, Mandarin Chinese, Second Language Learning
Beverly E. Puntin – ProQuest LLC, 2022
This study aimed to investigate the influences instructional coaching had on middle school math teachers. Accountability demands have impacted teaching and learning, and the push to use high stakes tests to measure teacher quality and effectiveness has limited teacher autonomy, agency, and efficacy. Teachers need professional learning that…
Descriptors: Coaching (Performance), Mathematics Teachers, Middle School Teachers, Faculty Development
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