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Thanat Tangpaisarn; Paul E. Phrampus; John M. O'Donnell – SpringerBriefs in Education, 2025
This book is crafted for both novice simulation educators embarking on their teaching careers and seasoned subject matter experts seeking to enhance the effectiveness of their simulation programs. The book draws on the effort of a novice simulation educator under the guidance of two simulation experts with over 40 years of collective experience.…
Descriptors: Allied Health Occupations Education, Learning Theories, Simulation, Vignettes
Xiaona Xia; Wanxue Qi – European Journal of Education, 2025
Massive Open Online Courses (MOOCs) effectively support online learning behaviour; while constructing a sustainable learning process, MOOCs have also formed the social network. In addition, learners' burnout state has become a serious obstacle to the development and promotion of MOOCs. This study analyzes the potential social behaviour associated…
Descriptors: MOOCs, Burnout, Social Behavior, Feedback (Response)
Alexandra Maftei; Andra Mihaela Ghinie? – Early Childhood Education Journal, 2025
The present study explored young children's inclusion/exclusion decisions based on gender, skin color, and physical and sensorial disabilities. We also examined children's emotions following these decisions and the explicit influence of peers (social consensus) and teachers (authority influence). Our sample consisted of 64 Romanian children, aged…
Descriptors: Foreign Countries, Preschool Children, Preschool Teachers, Social Isolation
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
Okan Bulut; Guher Gorgun; Hacer Karamese – Journal of Educational Measurement, 2025
The use of multistage adaptive testing (MST) has gradually increased in large-scale testing programs as MST achieves a balanced compromise between linear test design and item-level adaptive testing. MST works on the premise that each examinee gives their best effort when attempting the items, and their responses truly reflect what they know or can…
Descriptors: Response Style (Tests), Testing Problems, Testing Accommodations, Measurement
Thomas Simpson; Lorcan Cronin; Paul Ellison; Thomas Hawkins; Evelyn Carnegie; David Marchant – Journal of Motor Learning and Development, 2025
In physical education (PE), the use of instruction and feedback is central to children's motor skill learning. Recently, it has been identified that instruction, and feedback, which promote OPTIMAL theory motor learning factors (e.g., an external focus of attention, enhanced expectancies, and autonomy support) can enhance children's motor…
Descriptors: Physical Education, Instruction, Feedback (Response), Psychomotor Skills
Sireesha Prathigadapa; Salwani Mohd Daud – Journal of Learning for Development, 2025
In contemporary education, accurately predicting student performance and delivering prompt feedback is paramount for fostering a comprehensive grasp of academic progress and adopting strategies for enhancing the quality of student learning. This review examines the studies on virtual tutoring systems utilising Generative Pre-trained Transformer 3…
Descriptors: Educational Technology, Technology Uses in Education, Artificial Intelligence, Feedback (Response)
Joseline Santos; Lilibeth Antonio; Aaron Paul Dela Rosa; Ruben Borja Ii – Educational Process: International Journal, 2025
Background/purpose: This study examines the design, development, and implementation of Small Private Online Courses (SPOCs) at Bulacan State University to standardize high-quality instructional materials and support asynchronous online learning. Materials/methods: Employing the ADDIE model (Analyze, Design, Develop, Implement, Evaluate), the study…
Descriptors: Online Courses, Teacher Attitudes, College Faculty, Student Attitudes
Florian Weber; Thiemo Wambsganss; Matthias Söllner – British Journal of Educational Technology, 2025
Recent developments in artificial intelligence (AI) have significantly influenced educational technologies, reshaping the teaching and learning landscape. However, the notion of fully automating the teaching process remains contentious. This paper explores the concept of hybrid intelligence (HI), which emphasizes the synergistic collaboration…
Descriptors: Legal Education (Professions), Writing Skills, Skill Development, Feedback (Response)
Luiz Rodrigues; Guilherme Guerino; Thomaz E. V. Silva; Geiser C. Challco; Lívia Oliveira; Rodolfo S. da Penha; Rafael F. Melo; Thales Vieira; Marcelo Marinho; Valmir Macario; Ig I. Bittencourt; Diego Dermeval; Seiji Isotani – International Journal of Artificial Intelligence in Education, 2025
Intelligent Tutoring Systems (ITS) possess significant potential to enhance learning outcomes. However, deploying ITSs in global south countries presents challenges due to their frequent lack of essential technological resources, such as computers and internet access. The concept of AIED Unplugged has emerged to bridge this digital divide,…
Descriptors: Teacher Attitudes, Intelligent Tutoring Systems, Numeracy, Mathematics Education
Crystal Derika-Mae Matthews – ProQuest LLC, 2025
The problem addressed through this study is the inconsistent use of mathematics educational technology tools in middle school mathematics courses in the United States. The problem was important to address because inconsistent use of mathematics educational technology tools may impact student performance. The purpose of this basic qualitative study…
Descriptors: Middle School Mathematics, Middle School Teachers, Mathematics Teachers, Technology Uses in Education
Hao Zhou; Wenge Rong; Jianfei Zhang; Qing Sun; Yuanxin Ouyang; Zhang Xiong – IEEE Transactions on Learning Technologies, 2025
Knowledge tracing (KT) aims to predict students' future performances based on their former exercises and additional information in educational settings. KT has received significant attention since it facilitates personalized experiences in educational situations. Simultaneously, the autoregressive (AR) modeling on the sequence of former exercises…
Descriptors: Learning Experience, Academic Achievement, Data, Artificial Intelligence
Yesim Ozansak Topcu; Buket Karadag; Gul Guler – Turkish Online Journal of Distance Education, 2025
The study used phenomenology to examine teacher candidates' metaphorical perceptions for measurement and evaluation practices in distance education. 210 teacher candidates at a foundation university in Istanbul were included in the study group. Researchers collected data using a three-part form. The first part gathered demographic information, the…
Descriptors: Preservice Teachers, Student Attitudes, Distance Education, Figurative Language
Kseniia Marcq; Johan Braeken – International Journal of Testing, 2025
The Programme for International Student Assessment (PISA) student questionnaire, despite being designed for low cognitive demand, may induce test burden due to its 306-item length, resulting in increased item nonresponse toward the questionnaire's end. Using the PISA 2018 response data from 80 countries and a cross-classified mixed effects model,…
Descriptors: Achievement Tests, Foreign Countries, Secondary School Students, International Assessment
Outi Veivo; Maarit Mutta – Computer Assisted Language Learning, 2025
This study focuses on dialogue breakdowns that can occur in robot-assisted language learning (RALL). Our aim is to analyse how children use gaze to resolve these breakdowns, that is, interruptions in the interaction caused by the robot's inability to understand the children and react appropriately. Our corpus consists of 18 video filmed L2…
Descriptors: Robotics, Technology Uses in Education, Second Language Learning, Interaction

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