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The term “nontraditional students” (NTS) is widely used in higher education research, but its definition varies across studies. Objectives This systematic literature review aims to examine how researchers define NTS in U.S.-based studies and identify potential definitional issues. Methods We conducted a systematic review following PRISMA guidelines, searching EBSCO databases (Education Research Complete, Education Full Text, and ERIC) for peer-reviewed articles published between 2018 and 2022. We analyzed 65 papers that met our inclusion criteria to assess the definitions used for NTS. In this systematic literature review we focus on the definitional issues related to how researchers use the term nontraditional students in US-based studies. We review 65 papers from search results containing 432 papers to understand how researchers define nontraditional students. Of the 65 papers reviewed fully, 33 papers included a specific definition of nontraditional students, 15 included an unspecified definition of nontraditional students, and 17 papers did not include a clear definition at all. Our work suggests that researchers use a clearer definition, such as from the NCES, to define nontraditional students and focus their attention on the seven categories given by NCES. 

Case studies are among the most popular and effective pedagogical techniques in ethics education. In this paper, we present a framework to develop and effectively use one type of case study: role-plays. We argue that role-plays are particularly effective for allowing students to think through complex problems and bridge multi-level issues, a core concern of ethics education. The fictional case implemented in the study presented here focuses on the use of algorithms for making lending decisions. The case narrative and its associated roles highlight and emphasize the interdependent and intertwined individual and societal perspectives. Thirty-six students consented to the research study in the course where the role-plays were implemented. Student responses related to their engagement with the role were analyzed. We found that participants moved between the multi-level perspectives in the case, identified ethical principles at each level, and connected case examples to real-world occurrences. Overall, using role-plays strongly encouraged students to appreciate the complexity of technology. This work is part of a larger project on using role-play case studies, and in our conclusions, we draw implications from our overall findings. 

The omnipresence of software systems across all aspects of society has necessitated that future technology professionals are aware of ethical concerns raised by the design and development of software and are trained to minimize harm by undertaking responsible engineering. This need has become even more urgent with artificial intelligence (AI) driven software deployment. In this paper we present a study of an interactive pedagogical intervention – role-play case studies – designed to teach undergraduate technology students about ethics with a focus on software systems. Drawing on the situated learning perspective from the Learning Sciences, we created case studies, associated stakeholder roles, discussion scripts, and pre and post discussion assignments to guide students’ learning. Open-ended data was collected from thirty-nine students and analyzed qualitatively. Findings from the study show that by taking on different perspectives on a problem, students were able to identify a range of ethical issues and understand the role of the software system process holistically, taking context, complexity, and trade-offs into account. In their discussion and reflections, students deliberated the role of software in society and the role of humans in automation. The curricula, including case studies, are publicly available for implementation. 

The growing capabilities of artificial intelligence (AI) word processing models have demonstrated exceptional potential to impact language related tasks and functions. Their fast pace of adoption and probable effect has also given rise to controversy within certain fields. Models, such as GPT-3, are a particular concern for professionals engaged in writing, particularly as their engagement with these technologies is limited due to lack of ability to control their output. Most efforts to maximize and control output rely on a process known as prompt engineering, the construction and modification of the inputted prompt with expectation for certain outputted or desired text. Consequently, prompt engineering has emerged as an important consideration for research and practice. Previous conceptions of prompt engineering have largely focused on technical and logistic modifications to the back-end processing, remaining inaccessible and, still, limited for most users. In this paper, we look to the technical communication field and its methods of text generation—the rhetorical situation—to conceptualize prompt engineering in a more comprehensible way for its users by considering the context and rhetoric. We introduce a framework, consisting of a formula, to prompt engineering, which demands all components of the rhetorical situation be present in the inputted prompt. We present discussions on the future of AI writing models and their use in both professional and educational settings. Ultimately, this discussion and its findings aim to provide a means of integrating agency and writer-centric methods to AI writing tools to advance a more human-in-the-loop approach. As the use of generative AI and especially NLP-based technologies become common across societal functions, the use of prompt engineering will play a crucial role not just in adoption of the technology, but also its productive and responsible use.

 

In order to diversify and increase the engineering workforce, there is a documented need to better support nontraditional students (NTS) pursuing engineering degrees. Yet, most models of student support are currently based on the traditional model of engineering education that takes place in a place-based, residential, research driven institutions. In this paper, we analyze semi-structured interviews to understand the needs of NTS in engineering and outline ways in which they can be better supported towards their degree. We use theoretical work on Moore's Theory of Transactional Distance which focuses on dialogue, structure, and learner autonomy. We found that NTS in our sample were dedicated to completing their degrees for practical, and specific reasons and were looking for a work-life-education balance. Participants almost never used any resources other than their instructors and cared most about flexibility of scheduling their classes around their other commitments. This contrasts with current work within the literature that argues for increasing engagement and offering a range of services to engineering students. Our research discusses findings from interviews of five nontraditional students in engineering. The semi-structured interviews were transcribed then open-coding and thematic analysis were performed by the research team. Results showcase major themes from the interviews such as Financial Security, Home Commitments, Motivation, Personal Well-Being, Academic Support, Social Support, and Other Concerns. We discuss these findings in the context of determining ways to support nontraditional students on campuses where these students are most prevalent and often overlooked within the research community.