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Sai Gayathri Metla; Noori Akhtar-Danesh; Jessica Saini; Ilana Bayer; Yasmeen Mezil; Danielle Brewer-Deluce; Bruce C. Wainman – Anatomical Sciences Education, 2024
As a result of the COVID-19 pandemic, anatomy education was forced to adopt online modes of delivery. Previous research on student views revealed areas of strong preference (asynchronous lectures) and strong dislike (virtual specimens) in online anatomy courses. The current study seeks to compare the views of a single cohort of students…
Descriptors: Anatomy, Science Instruction, Factor Analysis, Student Attitudes
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Watson, Forrest; Stanton, Julie; Beninger, Stefanie; Domegan, Christine; Reppel, Alexander; Shapiro, Stanley – Journal of Marketing Education, 2022
Marketing classes are often focused on the micro level, failing to account for wider societal issues. In this article, we argue for the inclusion of a wider macro-sustainability focus, one that "hacks" marketing education. With that objective in mind, we developed and delivered an introductory marketing course that integrated both the…
Descriptors: Marketing, Introductory Courses, Teaching Methods, Sustainability
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Wenyangzi Shi; Zohreh Shahbazi – Canadian Journal of Science, Mathematics and Technology Education, 2024
The COVID-19 pandemic has brought the rapid transition to online quantitative education, leading to unique challenges and opportunities in assessments for both students and instructors. Focusing on undergraduate students and teaching staff at a Canadian university, this study investigates and compares their experiences and perspectives regarding…
Descriptors: Statistics Education, Online Courses, COVID-19, Pandemics
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Yi-Ping Wu; Hui-Hsien Feng; Bo-Ren Mau – Interpreter and Translator Trainer, 2025
Corpus analysis methods have been widely employed in literary translation research by numerous scholars. However, their integration into literary translation training has yet to be developed. With the advancement of AI technology, this paper explores the potential of employing AI-enhanced corpus text analysis and text mining techniques in this…
Descriptors: Translation, Computer Software, Comparative Analysis, Language Styles
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Simonova, Ivana; Faltynkova, Ludmila; Kostolanyova, Katerina; Klimszova, Slavomira – Journal of Computing in Higher Education, 2023
During the COVID-19 pandemic, schools at all levels were often closed and online distance instruction (ODI) was applied. The main objective of this research was to discover the main didactic features of online distance instruction; and based on the collected data to define didactic recommendations towards improving the quality of the process. Five…
Descriptors: Teaching Methods, Online Courses, Distance Education, COVID-19
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Keaver, Laura; Ludy, Mary-Jon; Folk, Sara Yi Ling; Gadd, Suzannah; Oleksiak, Maggie; Hsiao, Pao-Ying; Tucker, Robin M. – Advances in Physiology Education, 2023
Ripple Effects Mapping (REM) is a qualitative data analysis approach that combines mind mapping with inductive analysis to condense data obtained from group interviews. One benefit of REM is the ability to identify unintended outcomes, or "ripples," of the intervention of interest. Ripples are visually represented by a mind map created…
Descriptors: Undergraduate Students, Student Research, Physiology, Research Projects
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Sakire Erbay Çetinkaya; Mustafa Naci Kayaoglu – Acuity: Journal of English Language Pedagogy, Literature and Culture, 2024
Teaching English as an International Language (TEIL) refers to teaching English as a truly international medium via exposing learners to diversity, adopting a broad cultural view, fostering sensitivity and responsibility, being sensitive to the local culture of learning, and equipping learners with communication strategies. To put this lately…
Descriptors: Teaching Methods, English (Second Language), Second Language Learning, Second Language Instruction
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Woszczynski, Amy B.; Pridmore, Jeannie L.; Bandyopadhyay, Tridib; Godin, Joy; Prince, Bradley J. – Journal of Information Systems Education, 2021
This paper outlines a collaborative course design process to develop and implement a required IS course in an online cohort-based MBA program using principles of The Agile Manifesto. The primary goal of this study is to analyze how students in traditionally developed courses and those in collaboratively developed courses differ. Specifically, we…
Descriptors: College Faculty, Teacher Collaboration, Masters Programs, Business Administration Education
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Oscar Karnalim; Simon; William Chivers – Computer Science Education, 2024
Background and Context: To educate students about programming plagiarism and collusion, we introduced an approach that automatically reports how similar a submitted program is to others. However, as most students receive similar feedback, those who engage in plagiarism and collusion might feel inadequately warned. Objective: When students are…
Descriptors: Teaching Methods, Plagiarism, Computer Science Education, Programming
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Hansen, Kelly; Khare, Prajakta – JALT CALL Journal, 2021
This study explores the role of an online pre-sessional program in preparing students to matriculate into an English-medium bachelor's program at a Japanese university. The study covers two program sessions, the first of which consisted primarily of international students, and the second comprised mainly of graduates of Japanese high schools. To…
Descriptors: Online Courses, Course Evaluation, Second Language Learning, Second Language Instruction
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Pikhart, Marcel; Klimova, Blanka – Education Sciences, 2019
This paper presents findings from the practical implementation of Bloom's taxonomy into the class of Intercultural Business Communication that has been taught for several years at the Faculty of Informatics and Management, University of Hradec Kralove, Czech Republic. The class utilizes blended learning, and recently, Bloom's taxonomy has been…
Descriptors: Taxonomy, Blended Learning, Student Attitudes, Foreign Countries
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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
Maeder, Debra – Online Submission, 2019
Higher education institutions utilize faculty who possess subject-matter expertise and terminal degrees in specific disciplines. Often, faculty are not formally trained in educational theory, pedagogy, or best practices related to student learning. Best practices in course design standards are available to faculty who seek them out. However, with…
Descriptors: Instructional Design, Comparative Analysis, College Faculty, Best Practices
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Mitchell, Ojmarrh; Morales, Melissa – Assessment & Evaluation in Higher Education, 2018
Increasingly, student assessments of courses are being conducted online as opposed to administered in class. A growing body of research compares response rates and course ratings of courses evaluated online versus on paper. The present study extends this research by comparing student course assessments before and after the University of South…
Descriptors: Course Evaluation, College Students, Computer Uses in Education, Response Rates (Questionnaires)
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Billingsley, William; Torbay, Rosemary; Fletcher, Peter R.; Thomas, Richard N.; Steel, Jim R. H.; Süß, Jörn Guy – ACM Transactions on Computing Education, 2019
One of the challenges of global software engineering courses is to bring the practices and experience of large geographically distributed teams into the local and time-limited environment of a classroom. Over the last 6 years, an on-campus studio course for software engineering has been developed at the University of Queensland (UQ) that places…
Descriptors: Computer Science Education, Universities, Undergraduate Students, Teaching Methods
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