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Dhruv Grewal; Abhijit Guha; Cinthia Beccacece Satornino; Marc Becker – Journal of Marketing Education, 2025
Employers expect university graduates seeking entry-level marketing jobs to be well-versed in contemporary topics, such as sustainable development, digital marketing, big data, analytics, and the role of artificial intelligence (AI) in both traditional and contemporary marketing domains. Because many of today's cutting-edge technological advances…
Descriptors: Futures (of Society), Marketing, Business Education, Teaching Methods
Guillermo Romera Rodriguez – ProQuest LLC, 2023
The COVID-19 pandemic and the subsequent shift to online and hybrid learning brought to the forefront several long-standing issues within the educational domain, including engagement, collaboration, and motivation. During this period, many faculty members and students struggled to find viable solutions to these challenges. Previous studies have…
Descriptors: College Students, Student Participation, Computer Mediated Communication, Independent Study
Yovav Eshet – Education and Information Technologies, 2024
The COVID-19 pandemic has forced higher education institutions worldwide to shift from face-to-face (F2F) to emergency remote teaching (ERT), which has led to an increased concern about academic integrity. This study examines the relationship between learning environment and academic integrity via plagiarism detection software in different…
Descriptors: Plagiarism, Integrity, Ethics, Student Behavior
Kevin Daniel Fedewa – Frontiers: The Interdisciplinary Journal of Study Abroad, 2024
This preliminary case study used qualitative methods to analyze the experiences of eight short-term education abroad participants prior to, during, and shortly after a two-week program in Taipei. Interpretive analysis of reflection papers, focus group interviews, mobile app assignments, and a post-program evaluation survey revealed that students…
Descriptors: Holistic Approach, Study Abroad, Cultural Awareness, Student Attitudes
Martínez, Salvador; Wimmer, Manuel; Cabot, Jordi – Computer Science Education, 2020
Background and Context: Reports suggest plagiarism is a common occurrence in universities. While plagiarism detection mechanisms exist for textual artifacts, this is less so for non-code related ones such as software design artifacts like models, metamodels or model transformations. Objective: To provide an efficient mechanism for the detection of…
Descriptors: Plagiarism, Identification, Computer Software, Computer Uses in Education
David B. Nelson; Anaelle Emma Gackiere; Samantha Elizabeth LeGrand; Daniel A. Guberman – Thresholds in Education, 2025
In response to the significant disruption posed by emergent AI technology, we propose a four part framework for teaching and learning practice and development. Rather than focus on the specific technologies of the moment, this framework provides actionable suggestions for individuals with varying views of AI and its positive and negative…
Descriptors: Teaching Methods, Learning Processes, Algorithms, Artificial Intelligence
Eaton, Sarah Elaine; Crossman, Katherine; Behjat, Laleh; Yates, Robin Michael; Fear, Elise; Trifkovic, Milana – Journal of Academic Ethics, 2020
This institutional self-study investigated the use of text-matching software (TMS) to prevent plagiarism by students in a Canadian university that did not have an institutional license for TMS at the time of the study. Assignments from a graduate-level engineering course were analyzed using iThenticate®. During the initial phase of the study,…
Descriptors: Computer Software, Plagiarism, College Students, Engineering Education
Meyer, Patricia – ProQuest LLC, 2018
This study explored the adoption level of a specific plagiarism detection software by college professors in a classroom environment. As universities and colleges struggle with the issue of plagiarism and maintaining high standards of integrity, technology tools have been created and provided to assist faculty in identifying if a student has…
Descriptors: Plagiarism, Computer Software, College Faculty, College Students
Thontirawong, Pipat; Chinchanachokchai, Sydney – Marketing Education Review, 2021
In the age of big data and analytics, it is important that students learn about artificial intelligence (AI) and machine learning (ML). Machine learning is a discipline that focuses on building a computer system that can improve itself using experience. ML models can be used to detect patterns from data and recommend strategic marketing actions.…
Descriptors: Marketing, Artificial Languages, Career Development, Time Management
Mittal, Sarah – Marketing Education Review, 2019
This innovation proposes an alternative to the traditional exam/test model. Many faculty members have likely struggled with the need to objectively assess their students and the push back they get from students in administering such assessments. The current article outlines a win-win solution that allows professors to objectively assess student…
Descriptors: Tests, Grading, Educational Innovation, College Faculty
Djiwandono, Patrisius Istiarto – Teaching English with Technology, 2020
The study was aimed at identifying the learners' vocabulary learning strategies as they were engaged in tasks assigned along the SAMR model. A class of EFL learners was taught vocabulary with the assignments following SAMR. The model led them through four stages: substitution, augmentation, modification, and redefinition. The results showed that…
Descriptors: Vocabulary Development, Learning Strategies, Second Language Learning, Second Language Instruction
Schiele, Kristen; Chen, Steven – Marketing Education Review, 2018
The purpose of this article is to demonstrate how marketing educators can utilize the design-thinking process to create an engaged, high-impact learning experience for students. The guidelines of the assignment outlined in this article show how marketing students can utilize the design-thinking process in order to create a mobile application that…
Descriptors: Marketing, Computer Software, Teaching Methods, Design
Taipalus, Toni; Seppänen, Ville; Pirhonen, Maritta – Journal of Information Systems Education, 2018
Uncertain and ambiguous environments are commonplace in information systems development (ISD) projects, and while different Agile frameworks welcome changes in organizational, technical, and business environments, the incurred uncertainty is known to negatively affect the development process and the quality of the final product. The effects of…
Descriptors: Computer Software, Problem Based Learning, Information Systems, Simulation
Norris, Mark – Research in Higher Education Journal, 2019
The delivery of online university courses has continued to grow for more than a decade. New advances in technology have made the efficient delivery of courses possible, as well as increasing the collections of tools for students to cheat. Cheating results in the atrophy of the student's academic integrity, it has the potential to damage a…
Descriptors: Cheating, Online Courses, Integrity, College Students
Woods, David M. – Information Systems Education Journal, 2018
Cloud computing is a rapidly emerging topic, but should it be included in an introductory IT course? The magnitude of cloud computing use, especially cloud infrastructure, along with students' limited knowledge of the topic support adding cloud content to the IT curriculum. There are several arguments that support including cloud computing in an…
Descriptors: Introductory Courses, Internet, Computer Science Education, Computer Software