The rise of AI generated texts offers promise but creates new challenges for social work teaching. A recent survey found that 89% of higher education students used AI on their homework. AI generated text may be difficult to distinguish from a student's own work, yet are being submitted as the student's own work. This poses new challenges to…

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…

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…

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…

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…

Written languaging (WL) as a facilitator of second/foreign language (L2) learning has been investigated by several researchers. Yet, the dynamic nature of WL episodes has remained under-researched. This study aimed to examine whether the focus of e-collaborative writing and the mediation modalities in Google Docs would have differential impacts on…

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…

Artificial intelligence (AI) is increasingly being used as a cost-effective assistant to human instructors to generate performance feedback for online learners. This study found that AI-generated feedback had a positive impact on students' writing practice in an online learning space. Underperforming students stated that they wanted AI to further…

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…

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…

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,…

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…

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.…

Electronic feedback given via word-processing software (e.g., track changes in Microsoft Word) allows for a simple way to provide feedback to students during the drafting process. Research has mostly focused on student attitudes toward electronic feedback, with little investigation of how feedback format might affect the quality of instructor…

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…