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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
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
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
Ajay Kulkarni – ProQuest LLC, 2022
This work focuses on simulation, design, development, and evaluation of a visual Learning Analytics (LA) tool -- Real-time Educational AI-powered Classroom Tool (REACT) -- to support educators' data-driven decision-making. The educational institutions face one of the biggest challenges, such as predicting student performance, detecting undesirable…
Descriptors: Artificial Intelligence, Learning Analytics, Visual Learning, Data Use
Ben Stenhaug; Ben Domingue – Grantee Submission, 2022
The fit of an item response model is typically conceptualized as whether a given model could have generated the data. We advocate for an alternative view of fit, "predictive fit", based on the model's ability to predict new data. We derive two predictive fit metrics for item response models that assess how well an estimated item response…
Descriptors: Goodness of Fit, Item Response Theory, Prediction, Models
James Joseph Slizewski – ProQuest LLC, 2022
The purpose of the study was to investigate if commonly collected data correlates with student success at week eight of the first term for first time, full time, students. This is an ex-post facto study of student data. A Spearman's rho test was used to analyze the data for correlational analysis to determine if variables contained within…
Descriptors: Academic Achievement, Grade Point Average, Learner Engagement, Data
Toumic Asatorrian – ProQuest LLC, 2022
Technology and data have become integral components of the higher education landscape. These tools and stores of information are readily available to staff, administrators, and faculty. Despite this permeation of technology and data, there remains opportunities for growth and gaps in usage, particularly in the critical work of academic advising.…
Descriptors: Business, Intelligence, Technology, Technology Uses in Education
Nina R. Wilson-Keenan – ProQuest LLC, 2022
Financial Aid Awards for first-time college students include a variety of offerings, including scholarships, grants, and loans. One award of financial assistance, Federal Work-study, is different from other types of financial aid awarded in that students must work to earn the funds. Yet, it is included as estimated financial assistance (EFA) and…
Descriptors: Work Study Programs, Student Financial Aid, College Students, Financial Support
Daniel Rodriguez-Segura; Beth E. Schueler – Annenberg Institute for School Reform at Brown University, 2022
A significant share of education and development research uses data collected by workers called "enumerators." It is well-documented that "enumerator effects"--or inconsistent practices between the individual people who administer measurement tools-- can be a key source of error in survey data collection. However, it is less…
Descriptors: Data Collection, Educational Research, Research Problems, Elementary School Students
Okan Bulut; Tarid Wongvorachan – OTESSA Conference Proceedings, 2022
Feedback is an essential part of the educational assessment that improves student learning. As education changes with the advancement of technology, educational assessment has also adapted to the advent of Artificial Intelligence (AI). Despite the increasing use of online assessments during the last decade, a limited number of studies have…
Descriptors: Feedback (Response), Artificial Intelligence, Technology Uses in Education, Natural Language Processing
Zachary Richards; Angela M. Kelly – Community College Review, 2025
Objective/Research Question: Community college graduation rates are typically quite low, and developmental mathematics enrollment and coursetaking patterns may constrain academic outcomes. To identify ways in which community college graduation rates may be improved, decision trees were utilized to examine the STEM coursetaking patterns of N =…
Descriptors: STEM Education, College Enrollment, Decision Making, Educational Attainment

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