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Caitlin J. Criss – Education and Treatment of Children, 2025
Classroom management can be a significant challenge for teachers, especially novice teachers who report classroom management as their highest need for professional development. School districts are often left with the burden of providing such professional development but typically need more time and resources to provide extensive coaching. There…
Descriptors: Beginning Teachers, Classroom Techniques, Positive Reinforcement, Student Behavior
Allison K. Ruork; Shireen L. Rizvi; Anna Mui; Erum Nadeem; Elisa S. Shernoff – Psychology in the Schools, 2025
Chronic stress among educators is associated with burnout, absenteeism, and turnover. Identification of the contributors to educator stress is critical to guide prevention and intervention efforts. However, despite stress being conceptualized as a complex and dynamic process, the literature has generally focused on cross-sectional studies with…
Descriptors: Anxiety, Self Concept, Work Environment, Emotional Response
Jiahe Gu; Yangyu Xiao; Zi Yan – Asia-Pacific Education Researcher, 2025
Recent research highlights that external feedback alone does not lead to improvements unless students process and use it internally, emphasising the need to shift from a teacher-centred to a student-centred approach. While previous studies have underscored the importance of students generating feedback for their own use and explored effective…
Descriptors: Student Empowerment, Feedback (Response), College Students, Foreign Countries
Emma J. Folwell; James D. Brennan – Assessment & Evaluation in Higher Education, 2025
Assessment plays a pivotal role in shaping first-year university students' engagement and academic development. Despite widespread recognition of the benefits of innovative approaches, traditional summative assessment practices continue to dominate the sector, often failing to meet the diverse needs of students. This paper explores student…
Descriptors: College Freshmen, Student Evaluation, Learner Engagement, Evaluation Methods
Xinglin Jin; Dineke Tigelaar; Anna van der Want; Wilfred Admiraal – Australian Journal of Adult Learning, 2025
In the Chinese vocational education context, expert feedback plays an important role in many teacher professional development programs, such as mentoring, lesson observation, teaching evaluation, and expert-teacher workshops. Previous research examined the general setting and effectiveness of these programs and did not go into depth about the…
Descriptors: Foreign Countries, Career and Technical Education, Career and Technical Education Teachers, Faculty Development
Sizhuo Wang – Education and Information Technologies, 2025
Artificial intelligence (AI), due to its extensive capabilities for analyzing incoming information and providing personalized and detailed feedback, has significant potential for use in education. This study aims to investigate an application that analyzes the performance of musical exercises and provides instant AI-based feedback. The main task…
Descriptors: Artificial Intelligence, Music Education, Musical Instruments, Technology Uses in Education
Mary E. Little; Enrique A. Puig – Eye on Education, 2025
This comprehensive guide gives an overview of Multi-Tiered Systems of Support (MTSS) for K-12 teacher leaders and other school professionals with practices toward achieving transdisciplinary success for lifelong literacy in schools. MTSS is a holistic teacher leadership approach that focuses on transdisciplinary networks of instruction and…
Descriptors: Multi Tiered Systems of Support, Lifelong Learning, Literacy, Teacher Leadership
Katja Fleischmann – International Journal of Technology and Design Education, 2025
Design education traditionally centers around the critique as a pivotal assessment process, fostering the development of both explicit and tacit knowledge within the physical studio environment. Ideally, the critique encourages students to develop their creativity, sharpen their thought processes and refine their technique. This study contributes…
Descriptors: Design, Technology Uses in Education, Educational Technology, Program Effectiveness
Andreea Dutulescu; Stefan Ruseti; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2025
The assessment of student responses to learning-strategy prompts, such as self-explanation, summarization, and paraphrasing, is essential for evaluating cognitive engagement and comprehension. However, manual scoring is resource-intensive, limiting its scalability in educational settings. This study investigates the use of Large Language Models…
Descriptors: Scoring, Computational Linguistics, Computer Software, Artificial Intelligence
Hyeongdon Moon; Richard Lee Davis; Seyed Parsa Neshaei; Pierre Dillenbourg – International Educational Data Mining Society, 2025
Knowledge tracing models have enabled a range of intelligent tutoring systems to provide feedback to students. However, existing methods for knowledge tracing in learning sciences are predominantly reliant on statistical data and instructor-defined knowledge components, making it challenging to integrate AI-generated educational content with…
Descriptors: Artificial Intelligence, Natural Language Processing, Automation, Information Management
Andreea Dutulescu; Stefan Ruseti; Mihai Dascalu; Danielle McNamara – International Educational Data Mining Society, 2025
The assessment of student responses to learning-strategy prompts, such as self-explanation, summarization, and paraphrasing, is essential for evaluating cognitive engagement and comprehension. However, manual scoring is resource-intensive, limiting its scalability in educational settings. This study investigates the use of Large Language Models…
Descriptors: Scoring, Computational Linguistics, Computer Software, Artificial Intelligence
Victor-Alexandru Padurean; Tung Phung; Nachiket Kotalwar; Michael Liut; Juho Leinonen; Paul Denny; Adish Singla – International Educational Data Mining Society, 2025
The growing need for automated and personalized feedback in programming education has led to recent interest in leveraging generative AI for feedback generation. However, current approaches tend to rely on prompt engineering techniques in which predefined prompts guide the AI to generate feedback. This can result in rigid and constrained responses…
Descriptors: Automation, Student Writing Models, Feedback (Response), Programming
Khue Van Tran; Mai Thi Truc Le – Journal of Learning for Development, 2025
While engaging with feedback is of significance for learning, current studies have highlighted students' lack of engagement with feedback. This study aimed at identifying predictors of university students' feedback use in a blended learning environment based on the extension of the Planned Behaviour Theory. Data were collected via a questionnaire…
Descriptors: English (Second Language), Second Language Learning, Student Attitudes, Predictor Variables
Peter Wood; Dave Putwain; Pedro Freitas Fernandes – British Educational Research Journal, 2025
School children experience a range of normative transitions throughout their compulsory education, with the transition from primary to secondary school seen as the most intensive and challenging. While this transition is well researched, the focus of such work has been labelled disparate and lacking in terms of its focus on the pupils' experiences…
Descriptors: Peer Influence, Student Adjustment, Elementary Education, Secondary Education
Colleen Kalynych; Elisa Zenni; Janice Hanson – Journal of Faculty Development, 2025
The authors developed an email-based faculty development course regarding evaluation and feedback utilizing spaced education to address participation barriers in health professions faculty development. Through a qualitative program evaluation, post-program evaluation narratives were analyzed inductively using conventional content analysis.…
Descriptors: Faculty Development, Electronic Mail, Feedback (Response), Program Evaluation

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