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Ruseti, Stefan; Dascalu, Maria-Dorinela; Corlatescu, Dragos-Georgian; Dascalu, Mihai; Trausan-Matu, Stefan; McNamara, Danielle S. – Grantee Submission, 2021
Dialogism is a philosophical theory centered on the idea that life involves a dialogue among multiple voices in a continuous exchange and interaction. Considering human language, different ideas or points of view take the form of voices, which spread throughout any discourse and influence it. From a computational point of view, voices can be…
Descriptors: Dialogs (Language), Computational Linguistics, Semantics, Models
Magooda, Ahmed; Elaraby, Mohamed; Litman, Diane – Grantee Submission, 2021
This paper explores the effect of using multitask learning for abstractive summarization in the context of small training corpora. In particular, we incorporate four different tasks (extractive summarization, language modeling, concept detection, and paraphrase detection) both individually and in combination, with the goal of enhancing the target…
Descriptors: Data Analysis, Synthesis, Documentation, Training
Melissa I. Bloch-Meier – ProQuest LLC, 2021
While millions of workers are injured on the job every year (Bureau of Labor Statistics, 2019), at least some of these injuries can be attributed to failure to use what was learned during safety training (Safety Partners LTD., 2014). By better understanding workers' experiences, organizations may be better able to create more impactful safety…
Descriptors: Manufacturing Industry, Employees, Safety Education, Workplace Learning
Batik, Steffany Gayle – ProQuest LLC, 2021
The purpose of the current study was to investigate if high schools in an innovative school model in the United States adhere to the mission of the model over time or if they drift away from their mission. The innovative school model asks its school to make commitments to design aspects that help determine the power structures in the school, the…
Descriptors: High Schools, Educational Innovation, Models, Compliance (Legal)
Prentice Starkey; Kylie Flynn; Alice Klein – Society for Research on Educational Effectiveness, 2021
Purpose: The purpose of this project was (1) to collaborate with public preschool programs to adapt, test, and revise the implementation model of an innovative early mathematics intervention, "Pre-K Mathematics" and (2) to determine whether this model makes it possible for local programs to sustain their implementation without reducing…
Descriptors: Early Intervention, Mathematics Instruction, Preschool Education, Program Effectiveness
Cedric M. Brown – ProQuest LLC, 2021
The focus of the study was to understand how African American men who achieved leadership positions in Power 5 NCAA Division I schools constructed their stories about the influence and benefits of role models in their career pursuits. Semistructured interviews were used to gather in-depth information from five to 15 African Americans in athletic…
Descriptors: Males, Racial Factors, Barriers, College Athletics
Jane Coggshall; Debbie Davidson-Gibbs; Andrew Wayne – Society for Research on Educational Effectiveness, 2021
Background: To understand and apply the results of multisite impact studies, it is necessary to know the extent to which the components of an intervention were implemented as they were designed in each context (e.g., Carroll et al., 2007; Hill, Corey, & Jacob, 2018). Rigorous and cost-effective measures of implementation fidelity can help…
Descriptors: Fidelity, Coaching (Performance), Program Implementation, Intervention
Weicong Lyu; Peter M. Steiner – Society for Research on Educational Effectiveness, 2021
Doubly robust (DR) estimators that combine regression adjustments and inverse probability weighting (IPW) are widely used in causal inference with observational data because they are claimed to be consistent when either the outcome or the treatment selection model is correctly specified (Scharfstein et al., 1999). This property of "double…
Descriptors: Robustness (Statistics), Causal Models, Statistical Inference, Regression (Statistics)
Zhan, Peida; Jiao, Hong; Liao, Dandan; Li, Feiming – Journal of Educational and Behavioral Statistics, 2019
Providing diagnostic feedback about growth is crucial to formative decisions such as targeted remedial instructions or interventions. This article proposed a longitudinal higher-order diagnostic classification modeling approach for measuring growth. The new modeling approach is able to provide quantitative values of overall and individual growth…
Descriptors: Classification, Growth Models, Educational Diagnosis, Models
Karla Elizondo; Rafael Valenzuela; José V. Pestana; Nuria Codina – Psychology in the Schools, 2024
Procrastination is a delay in an intended course of action and, thus, a self-regulation failure hindering growth and well-being. Contrarily, self-regulation is a set of cognitive and metacognitive skills and strategies supporting goal-directed behavior. There is ongoing discussion regarding the extent to which (and the ways in which) promoting…
Descriptors: Self Management, College Students, Time Management, Student Motivation
Grace Yue Qi; Gillian Skyrme; Cynthia J. White – Distance Education, 2024
This paper proposes a distance-based doctoral supervisory model to support students in the process of navigating self, agency, and emotions over their doctoral journey. The model emerged through our examination of the lived experiences of three Chinese female doctoral students who, though enrolled as internal students in our New Zealand…
Descriptors: Supervision, Distance Education, Doctoral Programs, Models
Katie A. Barofsky – ProQuest LLC, 2024
Research has indicated that by acquiring the skills realted to self-determination postschoool outcomes and quality of life are likely to improve for young adults with disabilities. Therefore, instructional efforts focused on fostering the self-determination skills is considered an essential component of the educational program and services for…
Descriptors: Teaching Methods, Models, Self Determination, Family Involvement
Leif Sundberg; Jonny Holmström – Journal of Information Systems Education, 2024
With recent advances in artificial intelligence (AI), machine learning (ML) has been identified as particularly useful for organizations seeking to create value from data. However, as ML is commonly associated with technical professions, such as computer science and engineering, incorporating training in the use of ML into non-technical…
Descriptors: Artificial Intelligence, Conventional Instruction, Data Collection, Models
Rajesh Kumar Sharma; Sukhpreet Kaur – International Journal of Educational Management, 2024
Purpose: The purpose of this paper is to analyse the mediating role of organisational citizenship behaviour between transformational leadership and successful implementation of education 4.0 in higher educational institutes using the PLS-SEM approach. Design/methodology/approach: The study uses cross-sectional and quantitative approach to decode…
Descriptors: Transformational Leadership, Organizational Climate, Citizenship, Higher Education
Satumari John Wafudu; Yusri Bin Kamin – Quality Assurance in Education: An International Perspective, 2024
Purpose: The issue of quality assurance in vocational and technical education (VTE) programs identifies a perilous need to develop a conceptual framework for teaching and learning standards. This study aims to identify standard components for teaching and learning to ensure quality delivery for the achievement of VTE objectives. The quality…
Descriptors: Vocational Education, Quality Assurance, Academic Standards, Guidelines

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