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Peter Hu; Yangqiuting Li; Chandralekha Singh – Physical Review Physics Education Research, 2024
Quantum information science and engineering (QISE) is a rapidly developing field that leverages the skills of experts from many disciplines to utilize the potential of quantum systems in a variety of applications. It requires talent from a wide variety of traditional fields, including physics, engineering, chemistry, and computer science, to name…
Descriptors: Quantum Mechanics, Computer Science Education, Inquiry, Teaching Methods
Kristen L. Murphy; David G. Schreurs; Melonie A. Teichert; Cynthia J. Luxford; Jaclyn M. Trate; Jordan T. Harshmann; Jamie L. Schneider – Chemistry Education Research and Practice, 2024
Providing students with feedback on their performance is a critical part of enhancing student learning in chemistry and is often integrated into homework assignments, quizzes, and exams. However, not all feedback is created equal, and the type of feedback the student receives can dramatically alter the utility of the feedback to reinforce correct…
Descriptors: Student Evaluation, Feedback (Response), Science Education, Introductory Courses
Avington Medeiros; Eva Kane – Rural Educator, 2024
Rural teacher recruitment and retention is a matter of interest for the state of Alabama as policymakers look to understand teacher shortages in rural schools across the state. How teachers are prepared to teach in rural schools is an essential part of rural teacher recruitment and retention. Preservice teachers need exposure to rural contexts as…
Descriptors: Rural Areas, Teacher Education Programs, Course Content, Regional Characteristics
Gautham Arun; Vivek Perumal; Francis Paul John Bato Urias; Yan En Ler; Bryan Wen Tao Tan; Ranganath Vallabhajosyula; Emmanuel Tan; Olivia Ng; Kian Bee Ng; Sreenivasulu Reddy Mogali – Anatomical Sciences Education, 2024
Large Language Models (LLMs) have the potential to improve education by personalizing learning. However, ChatGPT-generated content has been criticized for sometimes producing false, biased, and/or hallucinatory information. To evaluate AI's ability to return clear and accurate anatomy information, this study generated a custom interactive and…
Descriptors: Artificial Intelligence, Teaching Methods, Computational Linguistics, Anatomy
Clemente Rodríguez-Sabiote; Ana T. Valerio-Peña; Roberto A. Batista-Almonte; Álvaro M. Úbeda-Sánchez – International Review of Research in Open and Distributed Learning, 2024
The global pandemic caused by the SARS-CoV-2 virus brought about a true revolution in the predominant teaching-learning processes (i.e., face-to-face environment) that had been implemented up to that point. In this regard, virtual teaching-learning environments (VTLEs) have gained unprecedented significance. The main objectives of our research…
Descriptors: Electronic Learning, College Students, Online Courses, Models
Learning to Make Change via Virtual Money Manipulative, System of Least Prompts, and Modeling Online
Emily C. Bouck; Holly Long; Carrielynn O'Reilly – Focus on Autism and Other Developmental Disabilities, 2024
Individuals engage in purchasing skills on a daily basis. Regardless of the curricular focus of secondary students with intellectual and developmental disabilities (IDD; i.e., academic or functional), possession of life skills is important. In this single case design study, researchers examined the provision of online instruction to three U.S.…
Descriptors: Students with Disabilities, Intellectual Disability, Developmental Disabilities, Daily Living Skills
Franklin S. Allaire; J. Patrick King; Anne C. Frenzel – Journal of Science Teacher Education, 2024
Research and national surveys show that deficiencies in elementary science teaching preparation are frustratingly persistent. Understanding positive and negative emotions as they relate to planning and teaching science is relevant for both the well-being of teachers and the quality of their teaching. There needs to be more empirical evidence on…
Descriptors: Science Instruction, Teaching Methods, Instructional Effectiveness, Elementary School Science
Sunil Hazari – Journal of Educational Research and Practice, 2024
In this article, I present a justification for implementing AI literacy courses in higher education. I explore the ethical concerns and biases surrounding AI technologies, highlighting the importance of critical analysis and responsible use of AI. I then propose a conceptual framework, focusing on awareness, skill development, and the practical…
Descriptors: Artificial Intelligence, Higher Education, Critical Thinking, Innovation
Elaine Christman; Paul Miller; John Stewart – Physical Review Physics Education Research, 2024
This study proposes methods of reporting results of physics conceptual evaluations that more fully characterize the range of outcomes experienced by students with differing levels of prior preparation, allowing for more meaningful comparison of the outcomes of educational interventions within and across institutions. Factors leading to variation…
Descriptors: Physics, Science Instruction, College Entrance Examinations, Calculus
Burcu Duman; Tugba Oguz – Pegem Journal of Education and Instruction, 2024
The research aims to disclose academicians' perceptions of "Online Teaching Tools" (OTT) within the UTAUT-2. In the study, a qualitative research method was implemented. The case study pattern has also been used for the study. The study group of the research was determined through maximum variation sampling from purposive sampling…
Descriptors: Teaching Methods, Teacher Attitudes, College Faculty, Online Courses
Susan J. Wenze; Thalia K. Charles – Teaching of Psychology, 2024
Background: Few studies have examined the effects of later class start times in college, even though developmentally driven sleep phase changes persist into the mid-20s. Objective: We hypothesized that sleepiness would be higher in an 8 a.m. versus 10 a.m. section of Introductory Psychology, and grades, engagement, enjoyment, attendance,…
Descriptors: School Schedules, Undergraduate Students, Introductory Courses, Psychology
Wai Tong Chor; Kam Meng Goh; Li Li Lim; Kin Yun Lum; Tsung Heng Chiew – Education and Information Technologies, 2024
The programme outcomes are broad statements of knowledge, skills, and competencies that the students should be able to demonstrate upon graduation from a programme, while the Educational Taxonomy classifies learning objectives into different domains. The precise mapping of a course outcomes to the programme outcome and the educational taxonomy…
Descriptors: Artificial Intelligence, Engineering Education, Taxonomy, Educational Objectives
Matthew Lundquist; Ann Aguanno – Journal of College Science Teaching, 2024
Moving to remote, online learning to meet health guidelines during the COVID-19 pandemic posed a challenge for college science courses due to the interactive nature of laboratories. We developed and implemented a remote/in-person lab partner model where in-person students were paired with remote students in natural science courses during the…
Descriptors: Distance Education, Online Courses, In Person Learning, Blended Learning
Yeshayahu Hutzler; N. Choresh – European Journal of Special Needs Education, 2024
The inclusion of children with disabilities in physical education (PE) classes is of the utmost importance and is addressed in teacher training programmes through a range of courses, aimed at providing teachers with knowledge and tools for enhancing inclusion in their PE classes. This paper provides a scoping review of research papers on such…
Descriptors: Physical Education Teachers, Inclusion, Students with Disabilities, Regular and Special Education Relationship
Denis Zhidkikh; Ville Heilala; Charlotte Van Petegem; Peter Dawyndt; Miitta Jarvinen; Sami Viitanen; Bram De Wever; Bart Mesuere; Vesa Lappalainen; Lauri Kettunen; Raija Hämäläinen – Journal of Learning Analytics, 2024
Predictive learning analytics has been widely explored in educational research to improve student retention and academic success in an introductory programming course in computer science (CS1). General-purpose and interpretable dropout predictions still pose a challenge. Our study aims to reproduce and extend the data analysis of a privacy-first…
Descriptors: Learning Analytics, Prediction, School Holding Power, Academic Achievement

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