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Daisyane Barreto; Sheri Conklin – Impacting Education: Journal on Transforming Professional Practice, 2025
Program alignment with professional standards ensures that students gain competency-based skills that can be transferred to the workplace environment. Employers continue to place a greater value on these skills. Establishing curriculum alignment with professional standards can assist with annual program evaluations, student learning outcomes, and…
Descriptors: Standards, Alignment (Education), Curriculum Development, Graduate Study
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Javad Keyhan – International Journal of Technology in Education and Science, 2025
In recent years, remarkable advancements in artificial intelligence technology have created new opportunities for transforming educational systems and enhancing student learning. This study focuses on designing a model for an AI-based intelligent assistant to provide a personalized learning experience in higher education. A qualitative approach…
Descriptors: Individualized Instruction, Artificial Intelligence, Models, Higher Education
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Andrew Kemp; Edward Palmer; Peter Strelan; Helen Thompson – British Journal of Educational Technology, 2024
Many technology acceptance models used in education were originally designed for general technologies and later adopted by education researchers. This study extends Davis' technology acceptance model to specifically evaluate educational technologies in higher education, focusing on virtual classrooms. Prior research informed the construction of…
Descriptors: College Students, Educational Technology, Models, Student Attitudes
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Yang Shi; Tiffany Barnes; Min Chi; Thomas Price – International Educational Data Mining Society, 2024
Knowledge tracing (KT) models have been a commonly used tool for tracking students' knowledge status. Recent advances in deep knowledge tracing (DKT) have demonstrated increased performance for knowledge tracing tasks in many datasets. However, interpreting students' states on single knowledge components (KCs) from DKT models could be challenging…
Descriptors: Algorithms, Artificial Intelligence, Models, Programming
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Xinning Zheng – International Journal of Web-Based Learning and Teaching Technologies, 2024
The integration of Internet technology and the collaborative development of smart classrooms is an essential step for colleges and universities to advance English instruction reform. This study utilized data mining (DM) technology to analyze the learning process in college English smart classrooms. The results indicate that the DM algorithm used…
Descriptors: English Instruction, Data Use, Learning Processes, Educational Technology
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Ishfaq Majid; Y. Vijaya Lakshmi – Online Submission, 2024
The models of E-learning Readiness (ELR) are basically designed to understand the process of obtaining the basic information necessary for measuring ELR among participants. They help organizations to identify the requirements for designing, developing and implementing E-learning. These models not only help the organizations to identify the degree…
Descriptors: Electronic Learning, Models, Readiness, Content Analysis
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Jordan M. Renna; Katelyn B. Sondereker; Christopher L. Cors; Sara N. Chaszeyka; Kristin N. Keenan; Michael R. Corigliano; Lindsey A. Milgrom; Jessica R. Onyak; Edward J. Hamad; Maureen E. Stabio – Anatomical Sciences Education, 2024
The reconstruction of two-dimensional (2D) slices to three-dimensional (3D) digital anatomical models requires technical skills and software that are becoming increasingly important to the modern anatomist, but these skills are rarely taught in undergraduate science classrooms. Furthermore, learning opportunities that allow students to…
Descriptors: Anatomy, Undergraduate Students, Science Instruction, Models
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Michel C. Desmarais; Arman Bakhtiari; Ovide Bertrand Kuichua Kandem; Samira Chiny Folefack Temfack; Chahé Nerguizian – International Educational Data Mining Society, 2025
We propose a novel method for automated short answer grading (ASAG) designed for practical use in real-world settings. The method combines LLM embedding similarity with a nonlinear regression function, enabling accurate prediction from a small number of expert-graded responses. In this use case, a grader manually assesses a few responses, while…
Descriptors: Grading, Automation, Artificial Intelligence, Natural Language Processing
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Maciej Pankiewicz; Yang Shi; Ryan S. Baker – International Educational Data Mining Society, 2025
Knowledge Tracing (KT) models predicting student performance in intelligent tutoring systems have been successfully deployed in several educational domains. However, their usage in open-ended programming problems poses multiple challenges due to the complexity of the programming code and a complex interplay between syntax and logic requirements…
Descriptors: Algorithms, Artificial Intelligence, Models, Intelligent Tutoring Systems
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Gülçin Zeybek – International Journal on Social and Education Sciences, 2025
The research model, which aims to determine the correlation between the level of teacher candidates taking teacher educators as role models in technology use and the level of technology acceptance and use and to what extent teacher candidates taking teacher educators as role models in technology use predicts technology acceptance and use, is a…
Descriptors: Foreign Countries, Technology Uses in Education, Preservice Teachers, Teacher Educators
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Christopher W. Norfolk; Timothy Ellis – Chemical Engineering Education, 2024
The effect of digital tools (pre-lab videos and 3D models of experimental equipment) on student's performance of a typical lab assignment was studied quantitatively; for some students, these digital tools replaced physical access to the equipment. These students also participated in focus groups and gave good suggestions to make the digital tools…
Descriptors: Educational Technology, Electronic Learning, COVID-19, Pandemics
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Ling Luo; Hong Ji; Shu-Ning Chen; Xin Chen – Education & Training, 2024
Purpose: The purpose of this study is to determine the competency characteristics required for the employment of master's degree students in educational technology. Design/methodology/approach: A combined qualitative and quantitative method was used to consult multiple experts through a modified Delphi method. Competency characteristics were…
Descriptors: Educational Technology, Competence, Employment Potential, Foreign Countries
Dana René Matthews – ProQuest LLC, 2024
The popularity and use of online learning are continuing to grow. Faculty members must be available to teach online courses for institutions to offer online education. However, some instructors do not consider online learning a viable substitute for face-to-face instruction. This qualitative interpretive phenomenological study was conducted to…
Descriptors: Community Colleges, College Faculty, Teacher Attitudes, Online Courses
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Shemy, Nader Said; Dalioglu, Seray Tatli – Journal of Education and e-Learning Research, 2023
The current study aimed to evaluate an online learning experience based on the music model of motivation in an educational technology post-graduate program in Oman. In order to understand the motivational perceptions of students regarding the instruction, a two-phase, sequential explanatory mixed method research design was conducted in this study.…
Descriptors: Models, Learning Motivation, Educational Technology, Graduate Students
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Michael A. Rother – International Journal of Mathematical Education in Science and Technology, 2024
A straightforward experimental set-up, requiring a two-liter bottle, a ruler and a stopwatch, is used to provide data appropriate for modelling with Torricelli's Law in the simplest case, and a more sophisticated differential equation when losses are taken into account and a pipe extension is considered. With only an exit hole included in the…
Descriptors: Science Experiments, Science Education, Scientific Principles, Equations (Mathematics)
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