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Sawyer, Chris R.; Richey, Delwin E.; Goen, Karley A. – Basic Communication Course Annual, 2021
Students' emotional responses often provide valuable indicators of whether they are languishing or flourishing in their first-year classes, including introductory communication courses. Grading often exerts a strong influence on students' emotions. However, though students generally have positive moods after receiving high marks and negative ones…
Descriptors: Emotional Response, Student Reaction, Grades (Scholastic), Assignments
Ashlee Buffington – ProQuest LLC, 2025
Staff education has a significant impact on evidence-based practice and safe care. It is imperative for health professionals to be educated to deliver patient-centered care as members of an interdisciplinary team, emphasizing evidence-based practice, quality improvement approaches, and informatics. It is essential to employing evidence-based care.…
Descriptors: Nursing Education, Professional Development, Nurses, Medical Services
Kylie Gorney; Sandip Sinharay – Educational and Psychological Measurement, 2025
Test-takers, policymakers, teachers, and institutions are increasingly demanding that testing programs provide more detailed feedback regarding test performance. As a result, there has been a growing interest in the reporting of subscores that potentially provide such detailed feedback. Haberman developed a method based on classical test theory…
Descriptors: Scores, Test Theory, Test Items, Testing
Roman Auriga; André Pirralha; Friederike Schlücker; Götz Lechner; Anna Passmann – International Journal of Social Research Methodology, 2025
Mailing campaigns are a way to keep longitudinal survey respondents engaged. While mailings usually include a survey answer request, sometimes respondents are contacted between-waves to update contact information or simply to keep respondent contact. Research on the actual impact of these between-wave contacts on response rates is scarce. This…
Descriptors: Foreign Countries, Adolescents, Mail Surveys, Research Methodology
Farshad Effatpanah; Purya Baghaei; Hamdollah Ravand; Olga Kunina-Habenicht – International Journal of Testing, 2025
This study applied the Mixed Rasch Model (MRM) to the listening comprehension section of the International English Language Testing System (IELTS) to detect latent class differential item functioning (DIF) by exploring multiple profiles of second/foreign language listeners. Item responses of 462 examinees to an IELTS listening test were subjected…
Descriptors: Item Response Theory, Second Language Learning, Listening Comprehension, English (Second Language)
Jill Brown; Craig M. McGill – School Leadership & Management, 2025
This study developed a grounded theory model describing how principals manage feedback on their leadership. Our research was conducted through interviews with 12 principals and led to the identification of three distinct phases. In Phase I, 'Feedback Collection', principals choose between formal and informal feedback methods, decide the scope of…
Descriptors: Principals, Feedback (Response), Leadership Qualities, Administrator Effectiveness
Janea J. Thibodeaux; Pierce M. Taylor; Janelle K. Bacotti; Samuel L. Morris – Journal of Applied Behavior Analysis, 2025
Many researchers have evaluated how characteristics of feedback may influence trainee performance, but relatively little attention has been allocated to directly assessing trainee preference for feedback characteristics and its relation to performance. Thus, the primary purpose of this study was to use a within-subject experimental design to…
Descriptors: Undergraduate Students, Feedback (Response), Difficulty Level, Learning Strategies
Emmanuel Fokides; Eirini Peristeraki – Education and Information Technologies, 2025
This research analyzed the efficacy of ChatGPT as a tool for the correction and provision of feedback on primary school students' short essays written in both the English and Greek languages. The accuracy and qualitative aspects of ChatGPT-generated corrections and feedback were compared to that of educators. For the essays written in English, it…
Descriptors: Artificial Intelligence, Error Correction, Feedback (Response), Elementary School Students
Jinglei Yu; Shengquan Yu; Ling Chen – British Journal of Educational Technology, 2025
Video-based teacher online learning enables teachers to engage in reflective practice by watching others' classroom videos, providing peer feedback (PF) and reviewing others' work. However, the quality and reliability of PF often suffer due to variations in teaching proficiency among providers, which limits its usefulness for reviewers. To improve…
Descriptors: Artificial Intelligence, Peer Evaluation, Feedback (Response), Reflection
Junjun Chen; Mustafa Toprak; Mehmet Karakus; Masoumeh Kouhsari – European Journal of Education, 2025
The ability of school principals to demonstrate resilience enables them to effectively lead, adapt and thrive amidst the ever-changing landscape of educational challenges and transformations. Despite its necessity, research on principal resilience remains largely underdeveloped and is still in its early stages. The current study aims to fill this…
Descriptors: Principals, Resilience (Psychology), Gender Differences, Networks
Jiawei Xiong; George Engelhard; Allan S. Cohen – Measurement: Interdisciplinary Research and Perspectives, 2025
It is common to find mixed-format data results from the use of both multiple-choice (MC) and constructed-response (CR) questions on assessments. Dealing with these mixed response types involves understanding what the assessment is measuring, and the use of suitable measurement models to estimate latent abilities. Past research in educational…
Descriptors: Responses, Test Items, Test Format, Grade 8
I. Corbacho-Cuello; M. A. Hernández-Barco; A. Muñoz-Losa – Science Education International, 2025
This study explores the influence of science and plant interest, alongside emotional responses, on the learning experiences of prospective primary education teachers during a botanical inquiry trail. Conducted at the University of Extremadura (Spain), the research involved 137 participants and valued their science and plant interest, knowledge…
Descriptors: Plants (Botany), Outdoor Education, Preservice Teachers, Foreign Countries
Austin Wyman; Zhiyong Zhang – Grantee Submission, 2025
Automated detection of facial emotions has been an interesting topic for multiple decades in social and behavioral research but is only possible very recently. In this tutorial, we review three popular artificial intelligence based emotion detection programs that are accessible to R programmers: Google Cloud Vision, Amazon Rekognition, and…
Descriptors: Artificial Intelligence, Algorithms, Computer Software, Identification
Mengke Wang; Taotao Long; Na Li; Yawen Shi; Zengzhao Chen – Education and Information Technologies, 2025
Feedback plays an indispensable role in pre-service teachers' microteaching practice. It provides essential information about their microteaching performance, which is of great significance in their reflection and improvement. As AI and teaching analytics advance, feedback is no longer exclusively human-generated. AI technologies are increasingly…
Descriptors: Feedback (Response), Preservice Teachers, Microteaching, Reflection
Suping Yi; Wayan Sintawati; Yibing Zhang – Journal of Computer Assisted Learning, 2025
Background: Natural language processing (NLP) and machine learning technologies offer significant advantages, such as facilitating the delivery of reflective feedback in collaborative learning environments while minimising technical constraints for educators related to time and location. Recently, scholars' interest in reflective feedback has…
Descriptors: Reflection, Feedback (Response), Cooperative Learning, Natural Language Processing