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Rhonda N. T. Nese; María Reina Santiago-Rosario; Joseph F. T. Nese; Danielle Triplett; Saki Malose; Jillian Hamilton; Sara Izzard; Alex Newson – Grantee Submission, 2023
In this brief, we outline the five components of the ISLA model, as well as steps that school and district teams can take to begin implementing these practices within their positive behavioral interventions and supports (PBIS) framework. Key Takeaways: (1) The ISLA model was created to support teachers, staff, and students by focusing on…
Descriptors: Positive Behavior Supports, Discipline, Restorative Practices, Models
Anchalee Sangarwut; Meena Polsuwan – Higher Education Studies, 2025
The purposes of the current study were to examine the 5C social engineering model-based training program on Surat Thani Rajabhat University students and Khun Thale Subdistrict residents' problem solving and adaptability and to examine the participants' satisfaction learning with the 5C social engineering model-based training program. A training…
Descriptors: Foreign Countries, Curriculum Development, Engineering Education, Competency Based Education
Jian-Hong Ye; Mengmeng Zhang; Weiguaju Nong; Li Wang; Xiantong Yang – Education and Information Technologies, 2025
ChatGPT, as an example of generative artificial intelligence, possesses high-level conversational and problem-solving capabilities supported by powerful computational models and big data. However, the powerful performance of ChatGPT might enhance learner dependency. Although it has not yet been confirmed, many teachers and scholars are also…
Descriptors: Artificial Intelligence, College Students, Problem Solving, Student Attitudes
You Yang; Mohamad Sattar Rasul; Marlissa Omar – Journal of Education and Learning (EduLearn), 2025
Open education and vocational education are crucial for building a learning society and promoting national development. This study uses CiteSpace software to conduct an in-depth analysis of keywords visual timelines for research hotspots, and keywords with the strongest citation bursts in China and other countries. Given the rapid global…
Descriptors: Educational Trends, Educational Research, Research Problems, Educational Needs
Hui-Tzu Chang; Chia-Yu Lin – IEEE Transactions on Education, 2024
Contribution: This study incorporates competition-based learning (CBL) into machine learning courses. By engaging students in innovative problem-solving challenges within information competitions, revealing that students' participation in online problem-solving competitions can improve their information technology, and showcase competitions can…
Descriptors: Competition, Artificial Intelligence, Curriculum, Problem Solving
Mary Rodriguez; Kim E. Dooley; T. Grady Roberts – Journal of Experiential Education, 2024
Background: College students need the ability to generalize and apply solutions through reflective practice. University faculty need professional development to use authentic cases to prepare students for the future. Purpose: This study was to explore the experiences of faculty through a year-long professional development program that included a…
Descriptors: Phenomenology, Experiential Learning, Reflection, Generalization
Anh-Duc Hoang – International Education Journal: Comparative Perspectives, 2024
We conducted an experiment to determine the impact of short-term pressure on 1,228 Grade 8 students' outcomes when performing simple math exercises. We required all students to complete 100 simple math questions for 90 seconds. We analysed students' results and then divided them into three groups: (i) a control group who did nothing; (ii) a group…
Descriptors: Stress Variables, Academic Achievement, Outcomes of Education, Middle School Students
Rijal, Muhammad; Mastuti, Ajeng Gelora; Safitri, Dian; Bachtiar, Suhaedir; Samputri, Salma – International Journal of Evaluation and Research in Education, 2021
This study aimed to analyze the effect of conventional, Problem-Based Learning (PBL), Numbered-Head Together (NHT), and integrated PBL-NHT learning models on the low- and high-ability students' critical thinking. This quasi-experimental study used a pretest-post-test nonequivalent control group design with a four-by-two factorial pattern. The…
Descriptors: Problem Based Learning, Critical Thinking, Academic Ability, Models
Sjöblom, Marie; Meaney, Tamsin – Educational Studies in Mathematics, 2021
Although group work is considered beneficial for problem solving, the listening that is needed for jointly solving mathematical problems is under-researched. In this article, the usefulness of two communication frameworks for understanding students' listening is examined, using data from an educational design research study in an upper secondary…
Descriptors: Group Activities, Listening, Problem Solving, Secondary School Mathematics
von Eye, Alexander; Wiedermann, Wolfgang; Herman, Keith C.; Reinke, Wendy M. – Grantee Submission, 2021
In standard statistical data analysis, the effects of intervention or prevention efforts are evaluated in terms of variable relations. Results from application of regression-type methods suggest whether, overall, intervention is successful. In this article, we propose using configural frequency analysis (CFA) either in tandem with regression-type…
Descriptors: Intervention, Regression (Statistics), Data Analysis, Profiles
Bowers, Jonathan; Eidin, Emanuel; Damelin, Daniel; McIntyre, Cynthia – Science Teacher, 2022
The COVID-19 crisis has demonstrated the importance of being able to understand complex computational models for everyday life. To make sense of the evolving predictive models of the COVID-19 pandemic, global citizens need to have a firm grasp of both systems thinking (ST) and computational thinking (CT). ST is the ability to understand a problem…
Descriptors: Computation, Thinking Skills, Models, Systems Approach
Du, Han; Enders, Craig; Keller, Brian; Bradbury, Thomas N.; Karney, Benjamin R. – Grantee Submission, 2022
Missing data are exceedingly common across a variety of disciplines, such as educational, social, and behavioral science areas. Missing not at random (MNAR) mechanism where missingness is related to unobserved data is widespread in real data and has detrimental consequence. However, the existing MNAR-based methods have potential problems such as…
Descriptors: Bayesian Statistics, Data Analysis, Computer Simulation, Sample Size
Ye, Yanyan; McBride, Catherine – Educational Psychology Review, 2022
While the importance of reading development for understanding Chinese literacy acquisition and impairment is well documented, what underlies Chinese spelling development is not well understood. Although some spelling development theories have been proposed and have provided rich and detailed descriptions of the processes and skills involved in…
Descriptors: Spelling, Models, Chinese, Orthographic Symbols
Shane J. Ralston – Education and Culture, 2022
Philosophical pragmatists rarely receive credit for their contribution to virtue ethics. But perhaps they should. How did America's philosopher of democracy, John Dewey, and one of its most famous elder statesmen, Benjamin Franklin, advise troubled souls in search of moral improvement? According to James Campbell, Dewey and Franklin recommended…
Descriptors: Ethics, Values Education, Comparative Analysis, Educational Philosophy
Carol Eckerly; Yue Jia; Paul Jewsbury – ETS Research Report Series, 2022
Testing programs have explored the use of technology-enhanced items alongside traditional item types (e.g., multiple-choice and constructed-response items) as measurement evidence of latent constructs modeled with item response theory (IRT). In this report, we discuss considerations in applying IRT models to a particular type of adaptive testlet…
Descriptors: Computer Assisted Testing, Test Items, Item Response Theory, Scoring

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