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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
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
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
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
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
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
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
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)
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
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
How Should States Choose a Growth Model? Aligning Your Growth Model with Policy and Technical Values
Scott Marion; Chris Domaleski; Will Lorié – National Center for the Improvement of Educational Assessment, 2025
Federal law requires that state accountability systems include "another academic indicator" for elementary and middle schools in addition to academic achievement. Nearly all states use a measure of student longitudinal growth as their other academic indicator. But how should states decide which growth model to use? The Center for…
Descriptors: Federal Legislation, Accountability, Educational Indicators, Federal State Relationship
Marie Alina Yeo; Jonathan Mark Newton – TESOL Journal, 2025
While it is widely accepted that language teachers require knowledge of second language acquisition (SLA) (Richards, 2010), what about content teachers, who are increasingly required to help develop their learners' academic language proficiency? How much do they need to know about SLA theories and how can they acquire such knowledge and expertise?…
Descriptors: Second Language Instruction, Second Language Learning, Language Acquisition, Models
Khalid Alalawi; Rukshan Athauda; Raymond Chiong; Ian Renner – Education and Information Technologies, 2025
Learning analytics intervention (LAI) studies aim to identify at-risk students early during an academic term using predictive models and facilitate educators to provide effective interventions to improve educational outcomes. A major impediment to the uptake of LAI is the lack of access to LAI infrastructure by educators to pilot LAI, which…
Descriptors: Intervention, Learning Analytics, Guidelines, Prediction
William Reid Carlisle; Hyunyi Jung; Megan H. Wickstrom; Kayla Sutcliffe; Hee-jeong Kim – International Journal of Science and Mathematics Education, 2025
Although culturally responsive mathematics teaching is important, post-secondary education for preservice teachers (PTs) does not typically lead to learning opportunities for them to use mathematics to recognize the roles of social agents. To address this issue, we created a culturally responsive mathematical modeling task in which we invited PTs…
Descriptors: Mathematical Models, Culturally Relevant Education, Mathematics Education, Preservice Teacher Education
Xieling Chen; Haoran Xie; Di Zou; Lingling Xu; Fu Lee Wang – Educational Technology & Society, 2025
In massive open online course (MOOC) environments, computer-based analysis of course reviews enables instructors and course designers to develop intervention strategies and improve instruction to support learners' learning. This study aimed to automatically and effectively identify learners' concerned topics within their written reviews. First, we…
Descriptors: Classification, MOOCs, Teaching Skills, Artificial Intelligence