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Jordan Albright; Julie Worley; Samantha Rushworth; Elise Cappella; Sophia Hwang; Shannon Testa; Biiftu Duresso; Natalie Dallard; Jayme Banks; Cherry Du; Gwendolyn M. Lawson; Courtney Benjamin Wolk – School Mental Health, 2024
Bridging Mental Health and Education (BRIDGE) is an evidence-based model for embedding teacher consultation and coaching activities into school-based mental health clinicians' regular workflow. Here we describe the process of adapting BRIDGE in partnership with a large urban school district and a local managed care organization during a…
Descriptors: Mental Health, Coaching (Performance), School Health Services, Urban Schools
Adhi Indra Hermanu; Diana Sari; Merry Citra Sondari; Muhammad Dimyati – Cogent Education, 2024
The study aims to investigate the mediating role of output, productivity, and outcome variables in the relationship between input or process variables and research performance. By examining how these variables interact, the study aims to enhance our understanding of the factors that influence research performance. This role was investigated using…
Descriptors: Mediation Theory, Models, Input Output Analysis, Productivity
Do Additional Features Help or Hurt Category Learning? The Curse of Dimensionality in Human Learners
Vong, Wai Keen; Hendrickson, Andrew T.; Navarro, Danielle J.; Perfors, Amy – Cognitive Science, 2019
The curse of dimensionality, which has been widely studied in statistics and machine learning, occurs when additional features cause the size of the feature space to grow so quickly that learning classification rules becomes increasingly difficult. How do people overcome the curse of dimensionality when acquiring real-world categories that have…
Descriptors: Learning Processes, Classification, Models, Performance
Golden, Adrienne K.; Hemmeter, Mary Louise; Edmonds, Marisa; Ledford, Jennifer R. – Journal of Early Intervention, 2021
A multiple probe design across behaviors, replicated across teaching teams, was used to evaluate the effectiveness of training plus reciprocal peer coaching on teaching teams' implementation of Pyramid Model (PM) practices. In this study, teaching teams (three dyads and one triad) were provided with training around the use of targeted PM practices…
Descriptors: Peer Relationship, Coaching (Performance), Team Teaching, Models
Ali, Clement Ayarebilla; Acquah, Saknah; Esia-Donkoh, Kweku – African Educational Research Journal, 2021
The study compared exhaustively the Successive Approximation Model (SAM) and Analyze, Design, Develop, Implement and Evaluate (ADDIE) model on the teaching and learning of Science, Technology, Engineering and Mathematics subjects in Ghana. We selected a sample of 30 student-teachers who offered Mathematics and Science in the distance mode of the…
Descriptors: Models, STEM Education, Concept Formation, Student Teachers
Mielke, Chase – Educational Leadership, 2021
Among the many elements that make up an effective educator, the most important is self-efficacy, writes ASCD author Chase Mielke. When schools support educators in developing a sense of efficacy, there's often a chain reaction.
Descriptors: Self Efficacy, Interpersonal Relationship, Models, Teachers
Hamel, Fred L. – International Journal of Teacher Leadership, 2022
This article explores stakeholder perceptions of an alternative model for pre-service student teaching -- one that prioritizes instructional planning and reflective practice by reducing the amount of time student teachers are expected to teach directly. The research draws on 245 surveys, collected over a four-year period, from student teachers,…
Descriptors: Models, Student Teachers, Mentors, Beginning Teachers
Michalec, Paul; Newburgh, Katherine – Curriculum and Teaching Dialogue, 2022
Teacher growth and development are heavily focused on best practices, the technical aspects of teaching, often at the exclusion of deep practices, the heart-focused dimensions of teaching. Using an action research methodology, researchers offer a practical framework for coaching teachers on ways to develop the deep practices that underscore the…
Descriptors: Best Practices, Faculty Development, Teaching Methods, Action Research
Rosenberg-Kima, Rinat B.; Merrill, M. David; Baylor, Amy L.; Johnson, Tristan E. – Educational Technology Research and Development, 2022
Novice programmers, who have yet to form effective mental models of the domain, often experience high cognitive load, low confidence, and high anxiety, negatively affecting learning and retention rates. These cognitive and affective limitations pose an instructional challenge. This study aimed to investigate the effectiveness of a whole-task…
Descriptors: Computer Science Education, Instructional Effectiveness, Novices, Programming
Davis, Marcia H. – Journal of Education for Students Placed at Risk, 2023
U.S. Department of Education research indicates that early warning indicator systems are being used in at least half of high schools in the United States. Previous findings from an efficacy study of one early warning indicator and response system, the Early Warning Indicator (EWI) team model, indicated that ninth grade students in schools using…
Descriptors: High Schools, High School Students, Grade 9, Dropout Prevention
Tawil, Muh.; Said, Muhammad Amin; Suryansari, Kemala – International Journal of Education and Practice, 2023
This study aimed to examine authentic models of science assessment in assessing the competence of senior high school students who met the criteria of validity, practicality, and effectiveness. The methodology applied was an evaluation and developmental research. Research was conducted in senior high school in accordance with the needs of the…
Descriptors: Foreign Countries, Performance Based Assessment, Student Evaluation, Science Achievement
Tiffany Tseng; Matt J. Davidson; Luis Morales-Navarro; Jennifer King Chen; Victoria Delaney; Mark Leibowitz; Jazbo Beason; R. Benjamin Shapiro – ACM Transactions on Computing Education, 2024
Machine learning (ML) models are fundamentally shaped by data, and building inclusive ML systems requires significant considerations around how to design representative datasets. Yet, few novice-oriented ML modeling tools are designed to foster hands-on learning of dataset design practices, including how to design for data diversity and inspect…
Descriptors: Artificial Intelligence, Models, Data Processing, Design
Xie, Heping; Zhao, Tingting; Deng, Sue; Peng, Ji; Wang, Fuxing; Zhou, Zongkui – Journal of Computer Assisted Learning, 2021
Eye movement modelling examples (EMME) are computer-based videos displaying the visualized eye gaze behaviour of a domain expert person (model) while carefully executing the learning or problem-solving task. The role of EMME in promoting cognitive performance (i.e., final scores of learning outcome or problem solving) has been questioned due to…
Descriptors: Eye Movements, Attention, Cognitive Ability, Learning Processes
Keith David Reeves – ProQuest LLC, 2021
Traditional letter and number grades are inaccurate and harmful to children, while research indicates that standards-based grading is both more accurate and better for all stakeholders. However, despite standards-based report cards (SBRCs) coming in many forms, the best number and arrangement of performance level descriptors (PLDs) remains…
Descriptors: Academic Standards, Report Cards, Models, Standardized Tests
Castillo-Diaz, Marcio Alexander; Gomes, Cristiano Mauro Assis; Jelihovschi, Enio Galinkin – International Journal of Educational Methodology, 2022
The field of studies in metacognition points to some limitations in the way the construct has traditionally been measured and shows a near absence of performance-based tests. The Meta-Text is a performance-based test recently created to assess components of cognition regulation: planning, monitoring, and judgment. This study presents the first…
Descriptors: Schemata (Cognition), Decision Making, Undergraduate Students, Foreign Countries

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