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Angie Van Arsdale; Nicole Perrino; Ronald J. Clark; Vivian F. Ibañez; Timothy R. Vollmer – Journal of Applied Behavior Analysis, 2025
Behavior-analytic interventions are empirically supported treatments for pediatric feeding disorder; however, there are a limited number of intensive feeding programs in the country, making access to services and specialized training difficult. Given the prevalence of this disorder and scarcity of in vivo training resources, clinicians would…
Descriptors: Computer Assisted Instruction, Nutrition Instruction, Functional Behavioral Assessment, Eating Disorders
Roseline Osayi Uwaifo; Mark Igho Osah; Sunday Obro – Journal of Education and Learning (EduLearn), 2025
The study explored innovative instructional strategy: effect of computer-aided instruction on social studies students' achievement and retention outcome. The study was an experimental study. The sample of the study was 180 students. The instrument used for the study was the scholarly achievement test (SAT). Descriptive statistics were utilized to…
Descriptors: Computer Assisted Instruction, Social Studies, Academic Achievement, Academic Persistence
Bradley Graeme Welch; Juan Carlos Ponce Campuzano – International Journal of Mathematical Education in Science and Technology, 2025
In this paper, we explore how the typical second year undergraduate topic of matrix diagonalisation can be applied to solve a geometric problem which arises frequently in Vector Calculus: to find the curve of intersection of a plane and a surface. We use GeoGebra, which offers a cost-free and dynamic interface, to explore a specific variant of…
Descriptors: Geometry, Computer Software, Computer Assisted Instruction, Undergraduate Students
Peer Interactions during Computer-Supported Collaborative Learning: A Self-Determination Perspective
Anouschka van Leeuwen; Lisette Hornstra; Jeroen Janssen; En Ning Leow – Journal of Computer Assisted Learning, 2025
Background: Computer-supported collaborative learning (CSCL) environments are hypothesised to offer a learning environment that satisfies basic psychological needs for autonomy, relatedness and competence, subsequently improving learning and motivational outcomes. However, the underlying mechanism of how basic psychological needs are fulfilled…
Descriptors: Peer Relationship, Interaction, Computer Assisted Instruction, Cooperative Learning
Liu Liu; Yue Chen; Yubin Cao; Lei Yang; Yiyan Yang; Yantong Li; Dingming Huang; Ling Ye; Qinghua Zheng – Anatomical Sciences Education, 2025
Anatomy forms the foundation for the training and execution of routine surgical procedures. However, a gap persists in effectively bridging anatomical knowledge with the confident performance of procedures. Virtual simulation (VS) techniques, based on experiential and situated learning theory, hold promise in addressing this challenge.…
Descriptors: Anatomy, Surgery, Medical Education, Computer Simulation
Aziz Ilhan; Recep Aslaner; Cihat Yasaroglu – Education and Information Technologies, 2025
Digital literacy is a 21st century requirement and its importance is increasing day by day. In this article, it was aimed to evaluate the development of digital literacy skills of mathematics teachers and prospective teachers through Technology Assisted Education (TAE). In addition, the opinions of the teachers about the training were also…
Descriptors: Skill Development, Digital Literacy, Mathematics Teachers, Preservice Teachers
Linyuan Wang; Arjen de Vetten; Wilfried Admiraal; Roeland van der Rijst – Education and Information Technologies, 2025
In this study, we investigated the relationship between perceived learner control and student engagement in a blended course. Data were collected from 110 s-year bachelor students through weekly questionnaires to gather information about how they perceived their learner control and engagement in various study activities, including reading…
Descriptors: Undergraduate Students, Blended Learning, Teaching Methods, Student Empowerment
Da Teng; Xiangyang Wang; Yanwei Xia; Yue Zhang; Lulu Tang; Qi Chen; Ruobing Zhang; Sujin Xie; Weiyong Yu – Education and Information Technologies, 2025
The swift advancement of artificial intelligence, especially large language models (LLMs), has generated novel prospects for improving educational methodologies. Nonetheless, the successful incorporation of these technologies into pedagogical methods, such as flipped classrooms, continues to pose a challenge. This study investigates the…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Flipped Classroom, Technology Uses in Education
Yijia Hao; Yushi Liu; Bo Liu; George Amarantidis; Rami Ghannam – IEEE Transactions on Education, 2025
Contribution: The integration of artificial intelligence (AI) in engineering higher education is becoming increasingly important nowadays. This article contributes to the Scholarship of Integration by providing a comprehensive review of current research on AI integration in engineering higher education and presenting a pilot AI introductory module…
Descriptors: Foreign Countries, Undergraduate Students, Engineering Education, Artificial Intelligence
Nicholas C. Hindy; Anthony J. Bishara; John R. Pani – Anatomical Sciences Education, 2025
Advances in brain imaging have led to a paradigm shift in neuroscience research, moving from focusing on individual brain structures to investigating neural networks and connections. However, neuroanatomy education still tends to concentrate on discrete brain regions. Two separate experiments in undergraduate neuroscience courses investigated…
Descriptors: Anatomy, Undergraduate Students, Neurosciences, Learning Processes
Ghulam Abbas; Naureen Nazar; Zhirun Huang; Zhanhao Jiang – Asia-Pacific Education Researcher, 2025
This study compares the grammatical errors (GEs) made by non-English major undergraduate students from China and Pakistan, aiming to identify common and distinct types of error and to explore potential reasons behind them. By focusing on these two linguistically and culturally distinct groups, this research seeks to enhance understanding of…
Descriptors: Foreign Countries, Computer Assisted Instruction, Error Patterns, Error Analysis (Language)
Ian Thacker; Rebecca Schroeder; Sara Shields-Menard; Nickolas Goforth – International Journal of Science and Mathematics Education, 2025
To create opportunities for meaningful applications of data science for diverse students, we developed and implemented an online learning module focused on engaging students at a Hispanic Serving Institution (HSI) in an analysis of authentic soil data. Development of the module occurred over three design iterations involving interviews with 10…
Descriptors: Hispanic American Students, Minority Serving Institutions, Data Science, Undergraduate Students
Lide Yu; Lianghui Cai – Reading Research Quarterly, 2025
The effectiveness of distance learning primarily depends on the motivation and engagement of students. The aim of this article is to determine whether the developed online course enhances students' motivation to read and their engagement with contemporary American literature. The methodology is based on an experimental design. A mixed-methods…
Descriptors: Foreign Countries, Undergraduate Students, Distance Education, United States Literature
Yavuz Akbulut; Onur Dönmez; Beril Ceylan; Tayfun Firat – Journal of Computing in Higher Education, 2025
Providing pre-training on new material can simplify complex content for learners who may need guidance to understand basic facts and organize their efforts. However, the effect of pre-training on learning outcomes is controversial because it tends to vary by context. Our aim was to investigate the effectiveness of pre-training in reducing…
Descriptors: Training, Cognitive Processes, Difficulty Level, Academic Achievement
Marwa Hafour – Language Learning & Technology, 2025
Mobile apps are becoming part and parcel of our daily lives. Hence, this study examined the differential effects of app modes on listening comprehension and recognition. From a pool of Egyptian EFL sophomores, 107 students were randomly assigned into 3 groups practicing mobile-assisted listening in 3 modalities: Unimodal (n = 35), Bimodal (n =…
Descriptors: Foreign Countries, Multilingualism, English (Second Language), Second Language Learning

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