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Egon J. Heidendal – ProQuest LLC, 2022
Performance funding has been a popular form of funding colleges and universities for several decades. Often the purpose is to make universities more efficient (Miao, 2012). Missouri has had two separate models of performance funding in play, a decade apart. In this research both performance funding models are examined, including a 10- year period…
Descriptors: Graduation Rate, Public Colleges, Educational Finance, Financial Support
Vincent Dorie; George Perrett; Jennifer L. Hill; Benjamin Goodrich – Grantee Submission, 2022
A wide range of machine-learning-based approaches have been developed in the past decade, increasing our ability to accurately model nonlinear and nonadditive response surfaces. This has improved performance for inferential tasks such as estimating average treatment effects in situations where standard parametric models may not fit the data well.…
Descriptors: Statistical Inference, Causal Models, Artificial Intelligence, Data Analysis
Jena McDaniel; Alison Hessling Prahl; C. Melanie Schuele – Perspectives of the ASHA Special Interest Groups, 2022
Purpose: In this tutorial, we describe the initiation and implementation of a recently developed PhD Student-Mediated Mentorship Model (PS-MMM) used within our lab. In a PS-MMM, PhD students mentor graduate and undergraduate students under the direction of a faculty advisor. The model aims to address the PhD shortage by (a) teaching PhD students…
Descriptors: Graduate Students, Graduate Study, Mentors, Models
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Chunhua Cao; Xinya Liang – Structural Equation Modeling: A Multidisciplinary Journal, 2022
Exploratory structural equation modeling (ESEM) allows for the estimation of all cross-loadings, which leads to the number of parameters estimated substantially greater than that in conventional SEM. This study examined the sensitivity of fit measures (CFI, RMSEA, AIC, BIC, SaBIC, LRT) to measurement noninvariance in ESEM. Results suggested that…
Descriptors: Structural Equation Models, Error of Measurement, Computation, Goodness of Fit
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Russell Carpenter; Kevin Dvorak; Michael G. Strawser; Vanessa Gonzalez; Danielle Aming – Journal of Faculty Development, 2022
Mentorship plays a pivotal role in the development of faculty, across areas of academic and professional achievement. Faculty mentor programs exist to support and advance faculty through a variety of models and levels. As an introduction to the special section on faculty mentorship and mentor models, the authors examine the critical importance of…
Descriptors: Mentors, Faculty Development, Doctoral Students, Doctoral Programs
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Rashidi, Ahmad Amanzadeh; Azma, Fareydoon; Samiee, Roohallah; Sobhani, Abdolreza – Educational Research and Reviews, 2020
Today, most high education experts consider value creation (a term different from entrepreneurship or entrepreneur) as a condition necessary for the survival and development of universities and higher education systems. In this era of advanced technologies and knowledge-based industries in global, regional, national and even local economies,…
Descriptors: Universities, Higher Education, School Business Relationship, Foreign Countries
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Endia J. Lindo; Kathleen B. Kyzar; Tracy Gershwin – TEACHING Exceptional Children, 2025
Research has shown the importance of family-school collaboration in promoting positive student outcomes, but also the lack of satisfaction and trust on the part of both teachers and family members, especially with cross-cultural interactions. A key barrier is the lack of teacher professional development regarding research-based practices and…
Descriptors: Family School Relationship, Trust (Psychology), Cultural Awareness, Cross Cultural Training
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Hao Zhou; Wenge Rong; Jianfei Zhang; Qing Sun; Yuanxin Ouyang; Zhang Xiong – IEEE Transactions on Learning Technologies, 2025
Knowledge tracing (KT) aims to predict students' future performances based on their former exercises and additional information in educational settings. KT has received significant attention since it facilitates personalized experiences in educational situations. Simultaneously, the autoregressive (AR) modeling on the sequence of former exercises…
Descriptors: Learning Experience, Academic Achievement, Data, Artificial Intelligence
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Thiyaporn Kantathanawat; Anyamanee Ussarn; Mai Charoentham; Paitoon Pimdee – Educational Process: International Journal, 2025
Background/purpose: The increasing integration of digital technology in education underscores the need for instructional models that support personalized, skill-based, and problem-solving focused learning. While traditional pedagogies often fail to address these needs comprehensively, this study proposes that the Mastery Adaptive Problem-Solving…
Descriptors: Educational Technology, Technology Uses in Education, Problem Solving, Mastery Learning
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Christopher Barton Merica – Strategies: A Journal for Physical and Sport Educators, 2025
The purpose of this article is to share Coach Vermeil's foundational commonsense coaching principles for youth sports coaches, and more broadly health and physical educators, to help create a more positive culture for their team.
Descriptors: Athletic Coaches, Coaching (Performance), Teamwork, Physical Education Teachers
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Shannon Locke; Jessica Rodrigues; Lindsey G. Mirielli – School Science and Mathematics, 2025
Multiple learning theories encourage the use of role models within K-12 settings and have guided research on role model representation to diversify the pursuit of science, technology, engineering, and mathematics (STEM) fields. Research has been clear on benefits of using role models, primarily focused on promoting gender and racial/ethnic…
Descriptors: STEM Education, Role Models, Students with Disabilities, STEM Careers
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Katherine E. Castellano; Daniel F. McCaffrey; Joseph A. Martineau – Educational Measurement: Issues and Practice, 2025
Growth-to-standard models evaluate student growth against the growth needed to reach a future standard or target of interest, such as proficiency. A common growth-to-standard model involves comparing the popular Student Growth Percentile (SGP) to Adequate Growth Percentiles (AGPs). AGPs follow from an involved process based on fitting a series of…
Descriptors: Student Evaluation, Growth Models, Student Educational Objectives, Educational Indicators
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Shuangjin Liu; Qi Qi; Zihao Zeng; Yiqiu Hu – Child & Youth Care Forum, 2025
Background: A singular ecological risk factor did not accurately reflect the reality of adolescents' lives and could not fully elucidate the developmental mechanisms of adolescent suicidal ideation. The cumulative effect of multiple ecological risk factors (which may interact synergistically) could have provided a more comprehensive understanding…
Descriptors: Adolescents, Suicide, Quality of Life, Depression (Psychology)
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N. Nurwidodo; Siti Zaenab; Iin Hindun; Sri Wahyuni – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2025
The problem-based learning (PBL) model consists of five steps: orienting students to the problem, organizing work, guiding investigations, compiling work and presenting it, and evaluating the process and results. However, many teachers have not implemented the first and second steps properly, so that the goal of developing students' critical and…
Descriptors: High School Students, Problem Based Learning, Teaching Methods, Critical Thinking
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Caroline F. Rowland; Amy Bidgood; Gary Jones; Andrew Jessop; Paula Stinson; Julian M. Pine; Samantha Durrant; Michelle S. Peter – Language Learning, 2025
A strong predictor of children's language is performance on non-word repetition (NWR) tasks. However, the basis of this relationship remains unknown. Some suggest that NWR tasks measure phonological working memory, which then affects language growth. Others argue that children's knowledge of language/language experience affects NWR performance. A…
Descriptors: Vocabulary Development, Comparative Analysis, Computational Linguistics, Language Skills
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