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Robin R. Donovan – ProQuest LLC, 2024
A practice that dates back centuries, apprenticeship is a workforce development model that has gained recent attention in the American higher education system. The researcher conducted a review of existing literature that included apprenticeships in higher education and other models of community college workforce development. Existing literature…
Descriptors: Community Colleges, Urban Schools, Apprenticeships, Labor Force Development
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James Nicholson; Jim Ridgway – Teaching Statistics: An International Journal for Teachers, 2024
We explore ways in which statistics can be used to understand disease spread and support decision-making by governments. "Past performance does not guarantee future results"--we hope. We discuss and show examples from the National Science Foundation (NSF)-funded COVID-Inspired Data Science Education through Epidemiology (CIDSEE) project.…
Descriptors: COVID-19, Pandemics, Statistics, Communicable Diseases
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Timothy Teo; Fang Huang; Jinbo He – Interactive Learning Environments, 2024
Given the lack of cultural consideration of studies on digital natives, this study reports on a large-scale validation of the Digital Native Assessment Scale (DNAS) among university students from three regions of Greater China: Chinese mainland, Macau, and Taiwan, to examine measurement invariance and latent mean differences in the four constructs…
Descriptors: Foreign Countries, Digital Literacy, Structural Equation Models, College Students
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Wendy Chan – Asia Pacific Education Review, 2024
As evidence from evaluation and experimental studies continue to influence decision and policymaking, applied researchers and practitioners require tools to derive valid and credible inferences. Over the past several decades, research in causal inference has progressed with the development and application of propensity scores. Since their…
Descriptors: Probability, Scores, Causal Models, Statistical Inference
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Laura E. Matzen; Zoe N. Gastelum; Breannan C. Howell; Kristin M. Divis; Mallory C. Stites – Cognitive Research: Principles and Implications, 2024
This study addressed the cognitive impacts of providing correct and incorrect machine learning (ML) outputs in support of an object detection task. The study consisted of five experiments that manipulated the accuracy and importance of mock ML outputs. In each of the experiments, participants were given the T and L task with T-shaped targets and…
Descriptors: Artificial Intelligence, Error Patterns, Decision Making, Models
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Alexander von Eye; Wolfgang Wiedermann – Merrill-Palmer Quarterly: A Peer Relations Journal, 2024
In this article, we pursue two points of discussion. First, a new illustration is presented of the person-oriented tenet according to which it can be hazardous to generalize to the individual results that are based on the analysis of aggregated data. Second, it is illustrated that taking into account serial dependence information can result in not…
Descriptors: Research Methodology, Generalizability Theory, Generalization, Multivariate Analysis
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Nicholas Blair; Rishi Sriram – Journal of College and University Student Housing, 2024
Resident assistants who serve as peer leaders to other students are consistently considered crucial in creating a positive on-campus experience. Despite the demonstrated benefits these peer leaders bring to their communities and the significant monetary resources invested in them, there is a significant lack of research about their selection,…
Descriptors: Resident Advisers, Leadership Effectiveness, College Students, Measures (Individuals)
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Hongming Li; Seiyon Lee; Anthony F. Botelho – International Educational Data Mining Society, 2024
Recent advances in the development of large language models (LLMs) have led to power innovative suites of generative AI tools that are capable of not only simulating human-like-dialogue but also composing more complex artifacts, such as social media posts, essays, and even research articles. While this abstract has been written entirely by a human…
Descriptors: Artificial Intelligence, Natural Language Processing, Academic Language, Writing (Composition)
Xu Qin; Lijuan Wang – Grantee Submission, 2023
Research questions regarding how, for whom, and where a treatment achieves its effect on an outcome have become increasingly valued in substantive research. Such questions can be answered by causal moderated mediation analysis, which assesses the heterogeneity of the mediation mechanism underlying the treatment effect across individual and…
Descriptors: Causal Models, Mediation Theory, Computer Software, Statistical Analysis
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Farhan, Bayan Yousef – Interchange: A Quarterly Review of Education, 2022
The study illustrates the leadership role in an academic organization and investigates the leadership approaches that might account for an organization's success. Leadership at Harvard University is studied as a case study to characterize leadership legacy and to explore whether or not a combination of three leadership factors might be…
Descriptors: Universities, Success, Models, Transformational Leadership
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Pelánek, Radek – International Journal of Artificial Intelligence in Education, 2022
Educational technology terminology is messy. The same meaning is often expressed using several terms. More confusingly, some terms are used with several meanings. This state is unfortunate, as it makes both research and development more difficult. Terminology is particularly important in the case of personalization techniques, where the nuances of…
Descriptors: Educational Technology, Semantics, Vocabulary, Misconceptions
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Davies, Hugh – Research Ethics, 2022
Consent is one necessary foundation for ethical research and it's one of the research ethics committee's major roles to ensure that the consent process meets acceptable standards. Although on Oxford 'A' REC (an NHS Research Ethics Committee based in the UK) we've been impressed by the thought and work put into this aspect of research ethics, we've…
Descriptors: Ethics, Informed Consent, Research, Foreign Countries
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Sevinc, Serife – Educational Studies in Mathematics, 2022
Models-and-modeling perspective (MMP) is a problem-solving and learning perspective in mathematics education. Although modeling processes have been addressed widely in the international discussion on mathematical modeling, a homogeneous understanding has not been established yet. Hence, the field needs studies addressing the epistemological…
Descriptors: Mathematical Models, Problem Solving, Mathematics Education, Epistemology
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Strikovic, Aldin; Wittmann, Eveline – Vocations and Learning, 2022
The digital transformation leads to changing work contexts and new work objects that give rise to the necessity of collaboration across occupational boundaries. Yet there is a lack of theoretical models of cross-occupational collaboration, particularly with regard to individuals' cross-occupational collaboration competency (COCC). In order to…
Descriptors: Cooperation, Vocational Education, Role Perception, Occupations
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Strand, Torill – Ethics and Education, 2022
The metaphor of 'viral modernity' denotes an era characterized by communal experiences of how viruses, be they in the shape of physical, virtual or symbolic forms, permeate and shape social and cultural life. To think educative justice in viral modernity thus require a radical move beyond the surfaces of conventional paradigms in order to reach at…
Descriptors: Justice, Educational Philosophy, Models, COVID-19
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