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Ashley Rila; Allison L. Bruhn; Alex Pauls – Preventing School Failure, 2025
High rates of teacher praise are associated with positive student outcomes (Royer et al., 2019). Research shows secondary teachers deliver more reprimands than praise (e.g. Floress et al. 2022). Performance feedback (PF) is a strategy used to change teacher behaviors. However, it is unknown if PF targeting praise and reprimands for secondary…
Descriptors: Literature Reviews, Feedback (Response), Intervention, Secondary School Teachers
Talha Mahboob Alam; George Adrian Stoica; Özlem Özgöbek – Smart Learning Environments, 2025
Response technologies (RTs), also termed clickers or student response systems, have gained traction among researchers in classrooms in recent years. RTs encompass various interactive tools and technologies that are pivotal in modern educational settings. Numerous articles emphasize the effectiveness of RTs across multiple grades and courses.…
Descriptors: Educational Technology, Technology Uses in Education, Elementary Secondary Education, Student Reaction
Long Zhang; Khe Foon Hew – Education and Information Technologies, 2025
Although self-regulated learning (SRL) plays an important role in supporting online learning performance, the lack of student self-regulation skills poses a persistent problem to many educators. Recommender systems have the potential to promote SRL by delivering personalized feedback and tailoring learning strategies to meet individual learners'…
Descriptors: Independent Study, Electronic Learning, Online Courses, Artificial Intelligence
Jean-Paul Fox – Journal of Educational and Behavioral Statistics, 2025
Popular item response theory (IRT) models are considered complex, mainly due to the inclusion of a random factor variable (latent variable). The random factor variable represents the incidental parameter problem since the number of parameters increases when including data of new persons. Therefore, IRT models require a specific estimation method…
Descriptors: Sample Size, Item Response Theory, Accuracy, Bayesian Statistics
Alicia K. Jones; Shalini Gautam; Jonathan Redshaw – Child Development, 2025
Counterfactual emotions such as regret may aid future decision-making by encouraging people to focus on controllable features of personal past events. However, it remains unclear when children begin to preferentially focus on controllable features of such events. Across two studies, Australian 4-9-year-olds (N = 336, 168 females; data collected…
Descriptors: Childrens Attitudes, Psychological Patterns, Decision Making, Emotional Response
Kayla Ford; Lindsay S. Ham; Kelly Kennedy – Journal of American College Health, 2025
Objective: Shame and guilt are often present prior to and consequent to alcohol use among college students. Little is known about the propensity to experience these emotions in the context of transgressions that occur while drinking alcohol. We examined the association between shame and guilt propensity for alcohol-related transgressions with…
Descriptors: Drinking, Alcohol Abuse, College Students, Emotional Response
Jessica Chan; Sibel Erduran – Research in Science Education, 2025
Science education bears the broader objective of nurturing students today to be scientifically-literate citizens of tomorrow who are able to foresee challenges, invent solutions and make responsible decisions for global issues. As a prelude to the new focus of agency in the Anthropocene, this paper presents an intervention on climate change with…
Descriptors: Science Education, Secondary School Students, Climate, Museums
Febe Demedts; Sameh Said-Metwaly; Kristian Kiili; Manuel Ninaus; Antero Lindstedt; Bert Reynvoet; Delphine Sasanguie; Fien Depaepe – Journal of Computer Assisted Learning, 2025
Background: The potential of adaptive feedback in digital educational games remains largely unexplored. Fractions are a suitable topic for investigating the effectiveness of adaptive feedback, as the complexity of this domain highlights the need for adequate feedback. Objectives: This study examines the effectiveness of explanatory adaptive…
Descriptors: Grade 4, Educational Games, Video Games, Feedback (Response)
Zhengdong Gan; Wei Wei; Guoxing Yu – Assessment & Evaluation in Higher Education, 2025
While the term feedback engagement has become a buzzword in higher education, the constructs of feedback engagement have remained inadequately investigated, and research on the conceptualization and instrumentation of feedback engagement in the literature is limited. This paper presents the development and validation of a feedback engagement scale…
Descriptors: Feedback (Response), Measures (Individuals), Undergraduate Students, Test Validity
Sarah E. Rose; Louise Taylor; Siân E. Jones – Assessment & Evaluation in Higher Education, 2025
Engaging with feedback has been widely shown to support learning, but levels of engagement with feedback among individual students varies considerably. This study assessed educational identities to understand this variation, while also seeking to confirm the distinct but related role of perceptions of feedback. One hundred and seventy…
Descriptors: Undergraduate Students, Feedback (Response), Learner Engagement, Student Attitudes
Katherine Wisener; Erik Driessen; Amy Tan; Cary Cuncic; Kevin Eva – Advances in Health Sciences Education, 2025
Feedback from learners is important to support faculty development, but negative feedback can harm teachers' motivation, engagement, and retention. Leaders of educational programs, therefore, need to balance enabling students' voices to be heard with maintaining teachers' enthusiasm and commitment to teaching. Given the paucity of research to…
Descriptors: Decision Making, Feedback (Response), Student Evaluation of Teacher Performance, Negative Attitudes
Jessica Quinton; Lorien Nesbitt; Johanna Bock – Assessment & Evaluation in Higher Education, 2025
Peer feedback is commonly used in higher education for both practical and pedagogical reasons. However, peer feedback has been criticized by teachers, researchers, and students for being superficial, harsh, uncritical, and/or detached from learning objectives. This study contributes to the existing literature on how to enhance the effectiveness of…
Descriptors: Feedback (Response), Peer Evaluation, Student Attitudes, Evaluation Methods
Zainurrahman; Pupung Purnawarman; Ahmad Bukhori Muslim – Journal of Academic Ethics, 2025
Generative artificial intelligence (GenAI) is a subset of artificial intelligence (AI) that can generate content such as texts, images, videos, sounds, etc. While GenAI tools have been utilized in various contexts, their utilization in the academic context is still a controversial topic. Scholars observed that many universities have banned GenAI…
Descriptors: Ethics, Artificial Intelligence, Feedback (Response), Technology Uses in Education
Sophia Mavridi – Technology in Language Teaching & Learning, 2025
This article proposes a critical typology of five emerging responses to artificial intelligence (AI) in language education, from prohibition and hype to critical engagement, highlighting the assumptions, tensions, and possibilities each orientation embodies. This typology serves as a reflective tool to examine how educators and institutions are…
Descriptors: Artificial Intelligence, Classification, Responses, Language Teachers
Jannatun Naim; Jie Cao; Fareen Tasneem; Jennifer Jacobs; Brent Milne; James Martin; Tamara Sumner – International Educational Data Mining Society, 2025
Effective feedback is essential for refining instructional practices in mathematics education, and researchers often turn to advanced natural language processing (NLP) models to analyze classroom dialogues from multiple perspectives. However, utterance-level discourse analysis encounters two primary challenges: (1) multifunctionality, where a…
Descriptors: Mathematics Instruction, Tutoring, Feedback (Response), Discourse Analysis

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