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Atwood, Alicia; Emerson, Tisha L. N.; Knox, Melissa A.; Taznin, Mahjuja M. – Journal of Economic Education, 2023
The use of experiments in the undergraduate economics classroom has been shown to have pedagogical value in increasing student learning and engagement, but the startup costs of adopting classroom experiments can be high for instructors. This article serves as a guide to adoption for the first-time user of computerized (online) classroom…
Descriptors: Undergraduate Students, Economics Education, Educational Experiments, Online Courses
Jill Oeding; Theresa Gunn; Jamie Seitz – Open Praxis, 2024
This quantitative study is designed to help educational institutions and instructors make informed decisions regarding the use of online proctoring software. The researchers studied the impact of proctoring software in online courses by comparing the final grades of two groups of online, undergraduate students who took the same online course with…
Descriptors: Supervision, Computer Software, Online Courses, Grades (Scholastic)
Andrea E. Green – ProQuest LLC, 2024
No solution can ultimately eliminate cheating in online courses. However, universities reserve funding for authentication systems to minimize the threat of cheating in online courses. Most higher education institutions use a combination of authentication methods to secure systems against impersonation attacks during online examinations.…
Descriptors: College Students, Cheating, Online Courses, Intervention
Lemanski, Melanie R.; Venneman, Sandy – Journal of Educators Online, 2023
While student satisfaction with online courses is generally high, these courses are not without problems. Perusall is a learning tool that aims to solve some of these problems and increase student satisfaction. The current study sought to determine whether the application of Perusall would improve students' feelings of connectedness, their reading…
Descriptors: Student Satisfaction, Computer Software, Computer Mediated Communication, Cooperative Learning
Stephanie Lewis Thompson; Teresa Marie Kelly – Practitioner to Practitioner, 2023
This article examines voluntary use of Grammarly in online Composition courses, including its effect on student writing, how students feel about using it, and what challenges arise when teaching with it. This will also discuss strategies to help educators overcome these challenges and describe appropriate uses of Grammarly.
Descriptors: Online Courses, Grammar, Computer Software, Writing Instruction
Rakib, Muhammad; Azis, Muhammad; Azis, Fajriani; Sanusi, Dian Anugrah – Pegem Journal of Education and Instruction, 2023
This study aims to analyze the influence of Self-Leadership, Self-Efficacy on students' entrepreneurship creativity using digital-based applications in managing online businesses. This study uses a quantitative approach and the type of comparative causal research. The population of this research is all students of Makassar State University who are…
Descriptors: Self Efficacy, Business Administration Education, Online Courses, Entrepreneurship
Nurbol, Ussenov; Shakhislam, Laiskhanov; Kulyash, Kaimuldinova; Bakhadurkhan, Abdimanapov; Sholpan, Karbayeva; Kairat, Zhoya – World Journal on Educational Technology: Current Issues, 2022
The aim of this study is to determine the important and methodological aspect of examining the population migration patterns of distance education and university students' geography course. 420 university students who continue their education in Kazakhstan participated in the research in the spring term of 2020-2021. Scanning method was used in…
Descriptors: Distance Education, Geography Instruction, Foreign Countries, Undergraduate Students
Chun Yan Enoch Sit; Siu-Cheung Kong – Journal of Educational Computing Research, 2024
Educational process mining aims (EPM) to help teachers understand the overall learning process of their students. Although deep learning models have shown promising results in many domains, the event log dataset in many online courses may not be large enough for deep learning models to approximate the probability distribution of students' learning…
Descriptors: Learning Processes, Learning Analytics, Algorithms, Guidelines
Christine Eith; Denise Zawada – Impacting Education: Journal on Transforming Professional Practice, 2025
This paper proposes a framework for integrating generative artificial intelligence (AI) tools into statistical training for Doctor of Education (EdD) students. The rigorous demands of doctoral education, coupled with the challenges of learning complex statistical software and coding language, often lead to anxiety and frustration among students,…
Descriptors: Doctoral Programs, Artificial Intelligence, Technology Integration, Statistics Education
Zi Xiang Poh; Ean Teng Khor – International Journal on E-Learning, 2024
Machine learning and data mining techniques have been widely used in educational settings to identify the important features that tend to influence students' learning performance and predict their future performance. However, there is little to no research done in the context of Singapore's education. Hence, this study aims to fill the gap by…
Descriptors: Learning Analytics, Goodness of Fit, Academic Achievement, Online Courses
Emma Whewell; Helen Caldwell; Helen Tiplady; Beth Garrett – Technology, Pedagogy and Education, 2025
This article analyses interactions between initial teacher education students and teacher educators in a UK university, when reflecting upon teaching behaviours. It trialled the use of video collaboration software in enabling reflective practice, to support experienced teachers' mentoring skills and novice teachers' reflective skills. The software…
Descriptors: Preservice Teachers, Teacher Educators, College Students, College Faculty
Anastasia Tzirides; Gabriela Zapata; Patrick Bolger; Bill Cope; Mary Kalantzis; Duane Searsmith – International Journal on E-Learning, 2024
This paper explores the integration of Generative Artificial Intelligence (GenAI) feedback into higher education. Specifically, it examines the views of 11 experienced instructors on fine-tuned GenAI formative feedback of student works in an online graduate program in the United States. The participants assessed sample GenAI reviews, and their…
Descriptors: Artificial Intelligence, Computer Software, Learning Experience, Feedback (Response)
Jenkins, Baylee D.; Golding, Jonathan M.; Le Grand, Alexis M.; Levi, Mary M.; Pals, Andrea M. – Teaching of Psychology, 2023
Background: The COVID-19 pandemic led to significant, unforeseen changes in classroom instructions, including the evaluation of students. Objective: The purpose of this study was to investigate college students' cheating both before and during the COVID-19 pandemic in terms of (a) preponderance of cheating, (b) the factors that may have led to an…
Descriptors: COVID-19, Pandemics, Cheating, Student Behavior
Miroslava Petrova; Claas Kuhnen – Design and Technology Education, 2025
Integration of Artificial Intelligence (AI) in the design process is a growing area of research interest. Three years after its public launch in 2022, AI has already established itself as the most disruptive tool revolutionizing how designers conceptualize, iterate and innovate. As AI technologies continue to evolve, it is pertinent that design…
Descriptors: Artificial Intelligence, Computer Software, International Cooperation, Institutional Cooperation
Mei, Bing; May, Lawrence; Heap, Rena; Ellis, Damon; Tickner, Sue; Thornley, Jacqui; Denton, Jamie; Durham, Richard – SAGE Open, 2021
Given the increasing demand for online learning at the tertiary level, there currently exists a need to modify or develop instructional design (ID) models/approaches that can effectively facilitate the collaboration between learning designers and teachers, as well as to research the effectiveness of these models/approaches. Against this backdrop,…
Descriptors: Instructional Design, Online Courses, Models, Cooperation