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Lindsay Maffei-Almodovar; Peter Sturmey; Joshua Jessel – Journal of Behavioral Education, 2025
Pyramidal training is an effective model for disseminating behavior analytic skills. However, pyramidal training in research is often conducted in controlled university settings. Further, research that has evaluated the effectiveness of pyramidal training in classroom settings (see Pence et al. 2014) often focuses on improving the use of one…
Descriptors: Functional Behavioral Assessment, Training Methods, Training, Program Effectiveness
Austin M. Shin; Ayaan M. Kazerouni – ACM Transactions on Computing Education, 2024
Background and Context: Students' programming projects are often assessed on the basis of their tests as well as their implementations, most commonly using test adequacy criteria like branch coverage, or, in some cases, mutation analysis. As a result, students are implicitly encouraged to use these tools during their development process (i.e., so…
Descriptors: Feedback (Response), Programming, Student Projects, Computer Software
Kelcie E. McCafferty; David A. Wilder; Nicole Gravina; Letitia Bible; Rachel Ferguson – Journal of Applied Behavior Analysis, 2024
Modern medical training consists largely of lecture-based instruction and in vivo or video modeling of specific skills. Other instructional methods, such as teaching with acoustical guidance (TAGteach), have rarely been evaluated. In this study, we compared teaching with tactile guidance, or tactile TAGteach in which a vibratory stimulus is…
Descriptors: Video Technology, Feedback (Response), Self Evaluation (Individuals), Medical Education
Christina Glasauer; Martin K. Yeh; Lois Anne DeLong; Yu Yan; Yanyan Zhuang – Computer Science Education, 2025
Background and Context: Feedback on one's progress is essential to new programming language learners, particularly in out-of-classroom settings. Though many study materials offer assessment mechanisms, most do not examine the accuracy of the feedback they deliver, nor give evidence on its validity. Objective: We investigate the potential use of a…
Descriptors: Novices, Computer Science Education, Programming, Accuracy
Andy A. Accettola; Leanne M. Kallemeyn – Research in the Schools, 2025
Effective feedback improves grades, quality of work, and student perceptions regarding the quality of the feedback they receive. Recent feedback scholarship indicates that despite students' appreciation of quality feedback, they seldom use it. A shift in focus toward feedback engagement has resulted in several narrative reviews on the topic, each…
Descriptors: Models, Feedback (Response), Mathematics Teachers, Mathematics Instruction
Sonja Dieterich; Stefan Rumann; Marc Rodemer – Educational Psychology Review, 2025
Example-based learning is a well-known instructional method for effective cognitive skill acquisition in complex domains. "(Contrasting) erroneous examples" are a promising extension that embed errors in instructional material, potentially fostering not only positive but negative knowledge. However, the mechanisms and conditions for…
Descriptors: Learning Processes, Teaching Methods, Instructional Effectiveness, Models
Bolden, Benjamin; Rickey, Nathan; DeLuca, Christopher – Music Educators Journal, 2023
Assessment is one of the thorniest aspects of teaching for creativity. Nevertheless, research suggests there is tremendous potential for nurturing creativity through assessment. This article identifies how music educators can leverage assessment for learning (formative assessment) as a powerful tool for cultivating creativity within a variety of…
Descriptors: Music Education, Creativity, Self Evaluation (Individuals), Teaching Methods
Gregory Scott Garner – ProQuest LLC, 2023
There is growing consensus that data-informed decision-making through human-centered inquiry and design process results in improved outcomes for designed artifacts. Among the latest trends is a group of tools and processes loosely assimilated under the umbrella term, "design thinking." These "designerly ways of knowing" are…
Descriptors: Feedback (Response), Models, Design, Cognitive Processes
Stephanie Fuchs; Alexandra Werth; Cristóbal Méndez; Jonathan Butcher – Journal of Engineering Education, 2025
Background: High-quality feedback is crucial for academic success, driving student motivation and engagement while research explores effective delivery and student interactions. Advances in artificial intelligence (AI), particularly natural language processing (NLP), offer innovative methods for analyzing complex qualitative data such as feedback…
Descriptors: Artificial Intelligence, Training, Data Analysis, Natural Language Processing
Tabares, Marta S.; Vallejo, Paola; Montoya, Alex; Correa, Daniel – Journal of Computing in Higher Education, 2022
Understanding learners' behavior is the key to the success of any learning process. The more we know about them, the more likely we can personalize learning experiences and provide successful feedback. This paper presents a feedback model implemented in a ubiquitous microlearning environment based on contextual and behavioral information and…
Descriptors: Feedback (Response), Models, Student Behavior, Educational Environment
Shaharim, Saidatul Ainoor; Ishak, Nor Asniza; Zaharudin, Rozniza – Journal of Science and Mathematics Education in Southeast Asia, 2021
Purpose: This study aims to assess the validity and reliability of the Psycho-B'GREAT Module developed according to the ASSURE's Module Development Model. Method: The content validity of the Psycho-B'GREAT Module was assessed by ten experts in the fields related in teaching and learning (T&L) and biology education. In testing the…
Descriptors: Content Validity, Models, Reliability, Scores
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
New Jersey School Counselor Evaluation Model: The Evaluation Process of New Jersey School Counselors
Karas, Dana M. – ProQuest LLC, 2023
The observation and supervision of New Jersey educators stand as a critical professional component to ensure that school staff is provided with timely feedback about their performance and recommendations and support for continual improvement. As a result of the TeachNJ Act (2012), efforts were made to formalize this process across New Jersey's…
Descriptors: School Counselors, Counselor Evaluation, Evaluation Methods, Models
Billie Harrington – Journal of Faculty Development, 2024
Hiring practitioners as faculty is not a novel practice in higher education. In their decision to shift from the private sector to the classroom, many practitioners enter the professoriate with little to no formal training in pedagogy. The question for faculty developers is how might Teaching and Learning Centers (TLCs) bridge this gap from…
Descriptors: Faculty Development, Teacher Effectiveness, College Faculty, Teaching Methods
Ashley McLain Westmoreland – ProQuest LLC, 2024
The purpose of this study was to conduct a program evaluation case study on the impact of standards-based grading in a North Carolina school district. The implementation procedures and end products of grading reform were assessed using the CIPP model. Data from teacher questionnaires, principal implementation checklists, interviews, and…
Descriptors: Program Evaluation, Case Studies, Academic Standards, Grading

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