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1. Early Career Engineers’ Views of Ethics and Social Responsibility: Study Overview

   Claussen, S. ; Jesiek, B. K. ; Zoltowski, C. B. ; Howland, S. ( July 2021 , Proceedings of the 2021 American Society of Engineering Education Virtual Annual Conference)

   Amidst growing concerns about a lack of attention to ethics in engineering education and professional practice, a variety of formal course-based interventions and informal or extracurricular programs have been created to improve the social and ethical commitments of engineering graduates. To supplement the formal and informal ethics education received as undergraduate students, engineering professionals often also participate in workplace training and professional development activities on ethics, compliance, and related topics. Despite this preparation, there is growing evidence to suggest that technical professionals are often challenged to navigate ethical situations and dilemmas. Some prior research has focused on assessing the impactsmore »of a variety of learning experiences on students’ understandings of ethics and social responsibility, including the PIs’ prior NSF-funded CCE STEM study which followed engineering students through the four years of their undergraduate studies using both quantitative and qualitative research methods. This prior project explored how the students’ views on these topics changed across demographic groups, over time, between institutions, and due to specific interventions. Yet, there has been little longitudinal research on how these views and perceptions change (or do not change) among engineers during the school-to-work transition. Furthermore, there has been little exploration of how these views are influenced by the professional contexts in which these engineers work, including cultures and norms prevalent in different technical fields, organizations, and industry sectors. This NSF-supported Ethical and Responsible Research (ER2) study responds to these gaps in the literature by asking: RQ1) How do perceptions of ethics and social responsibility change in the transition from undergraduate engineering degree programs to the workplace (or graduate studies), and how are these perceptions shaped or influenced?, and RQ2) How do perceptions of ethics and social responsibility vary depending on a given individual’s engineering discipline/background and current professional setting? This paper gives an overview of the research project, describing in particular the longitudinal, mixed-methods study design which will involve collecting and analyzing data from a large sample of early career engineers. More specifically, we will present the proposed study contexts, timeline, target subject populations, and procedures for quantitative and qualitative data collection and analysis. We will also describe how this study leverages our prior project, thereby allowing unique longitudinal comparisons that span participants’ years as an engineering undergraduate student to their time as an early-career professional. Through this project, we aim to better understand how early career engineers’ perceptions of social and ethical responsibility are shaped by their prior experiences and current professional contexts. This paper will likely be of particular interest to scholars who teach or research engineering ethics, social responsibility, and professional practice.« less
2. Longitudinal Qualitative Case Study of One Engineering Student’s Perceptions of Ethics and Social Responsibility: Corvin’s Story

   Claussen, S. ; Howland, S. J. ; Nittala, S. ; Jesiek, B. K. ; Zoltowski, C. B. ( July 2021 , Proceedings of the 2021 American Society of Engineering Education Virtual Annual Conference)

   Ethics and social responsibility have frequently been identified as important areas of practice for professional engineers. Thus, measuring engineering ethics and social responsibility is critical to assessing the abilities of engineering students, understanding how those abilities change over time, and exploring the impacts of certain ethical interventions, such as coursework or participation in extracurricular activities. However, measurement of these constructs is difficult, as they are complex and multi-faceted. Much prior research has been carried out to develop and assess ethical interventions in engineering education, but the findings have been mixed, in part because of these measurement challenges. To address thismore »variation in prior work, we have designed and carried out a five year, longitudinal, mixed-methods study to explore students’ perceptions of ethics and social responsibility. This study relies on both repeated use of quantitative measures related to ethics and repeated qualitative interviews to explore how students’ perceptions of these issues change across time, between institutions, and in response to participation in certain experiences. This paper focuses on the thematic analysis and preliminary results of the 33 pairs of interviews that were gathered from participants at three different universities in Year 1 and Year 4 of their undergraduate studies. Given the multifaceted and complex nature of ethics, measuring and assessing how students’ perceive its various aspects (e.g. those related to ethical climate, moral awareness, moral disengagement etc.) has proven challenging. Furthermore, investigating how students’ perceptions of these concepts vary over time adds another layer of complexity for analyzing our longitudinal data. For example, a student might show increased understanding in one aspect of ethics over time and consistency in another, making it difficult to identify patterns or the impacts of specific influences. Due to this large variation in student experiences and perspectives, we used single case analysis to analyze the longitudinal interviews of a single participant, Corvin. From this analysis, three themes emerged in the student's responses: a shift in his views of engineering ethics and social responsibility from idealism to pragmatism; an adjustment in how he thinks engineers should balance their responsibilities to the public and to their employers; and the characteristics he identifies for ethical engineers. This paper will be beneficial for engineering educators and researchers who are interested in measuring and developing ethical capabilities among engineering students.« less
3. Complexity, Right Action, and the Engineering Curriculum

   https://doi.org/10.18260/1-2--34317  

   Cheville, R. A. ; Heywood, J. ( June 2020 , American Society for Engineering Engineering Education Annual Conference and Exhibition)

   oday’s engineering students face a very different world than their predecessors. As engineering has adapted to a more global and interconnected economy, the issues that face today’s engineers have become more complex. In a highly networked world notions of the impact of an engineer’s actions on others, the basis for moral and ethical behavior, also become more complex. The definition of complex here captures higher-order and emergent behaviors, situations that can change rapidly, limitations to predictability, and behavior arising from interactions rather than innate to components. While ethics has remained central to engineering education and in general has retained itsmore »deontological basis, the ideas the serve as the basis for engineering ethics have changed over time and can be expected to change in the future. The fact that the future ethical challenges that engineering students will face will be distributed and complex while most engineering curricula focus on simplified systems and decisions indicates emerging challenges for effectively addressing engineering ethics within the curriculum. Frameworks that distinguish simple and complicated from complex systems—in which outcomes are more uncertain—emphasize that action becomes more important than knowledge. In other words, it is more important to do what is right, even if one’s actions are imperfect, than know what is right to do. This paper explores the intersection of engineering curricula and engineering ethics from the perspective of “right action”, that is being able in act in ways that lead to ethical outcomes. It is argued that by focusing predominately on knowledge and situating learning in academic settings engineering curricula miss opportunities for developing capabilities for action. Through this lens the opportunities to address engineering ethics in the curriculum are seen to lie predominately outside traditional coursework.« less
4. Understanding the ‘us all’ in Engineering 4 Us All through the Experiences of High School Teachers

   Berhane, B. ; Dalal, M. ; Klein-Gardner, S. ; Carberry, A. ; Reid, K. ; Beauchamp, C. ; Kouo, J. ; Pines, D. ( January 2021 , 3rd annual CoNECD – The Collaborative Network for Engineering and Computing Diversity Conference)

   As our nation’s need for engineering professionals grows, a sharp rise in P-12 engineering education programs and related research has taken place (Brophy, Klein, Portsmore, & Rogers, 2008; Purzer, Strobel, & Cardella, 2014). The associated research has focused primarily on students’ perceptions and motivations, teachers’ beliefs and knowledge, and curricula and program success. The existing research has expanded our understanding of new K-12 engineering curriculum development and teacher professional development efforts, but empirical data remain scarce on how racial and ethnic diversity of student population influences teaching methods, course content, and overall teachers’ experiences. In particular, Hynes et al. (2017)more »note in their systematic review of P-12 research that little attention has been paid to teachers’ experiences with respect to racially and ethnically diverse engineering classrooms. The growing attention and resources being committed to diversity and inclusion issues (Lichtenstein, Chen, Smith, & Maldonado, 2014; McKenna, Dalal, Anderson, & Ta, 2018; NRC, 2009) underscore the importance of understanding teachers’ experiences with complementary research-based recommendations for how to implement engineering curricula in racially diverse schools to engage all students. Our work examines the experiences of three high school teachers as they teach an introductory engineering course in geographically and distinctly different racially diverse schools across the nation. The study is situated in the context of a new high school level engineering education initiative called Engineering for Us All (E4USA). The National Science Foundation (NSF) funded initiative was launched in 2018 as a partnership among five universities across the nation to ‘demystify’ engineering for high school students and teachers. The program aims to create an all-inclusive high school level engineering course(s), a professional development platform, and a learning community to support student pathways to higher education institutions. An introductory engineering course was developed and professional development was provided to nine high school teachers to instruct and assess engineering learning during the first year of the project. This study investigates participating teachers’ implementation of the course in high schools across the nation to understand the extent to which their experiences vary as a function of student demographic (race, ethnicity, socioeconomic status) and resource level of the school itself. Analysis of these experiences was undertaken using a collective case-study approach (Creswell, 2013) involving in-depth analysis of a limited number of cases “to focus on fewer "subjects," but more "variables" within each subject” (Campbell & Ahrens, 1998, p. 541). This study will document distinct experiences of high school teachers as they teach the E4USA curriculum. Participants were purposively sampled for the cases in order to gather an information-rich data set (Creswell, 2013). The study focuses on three of the nine teachers participating in the first cohort to implement the E4USA curriculum. Teachers were purposefully selected because of the demographic makeup of their students. The participating teachers teach in Arizona, Maryland and Tennessee with predominantly Hispanic, African-American, and Caucasian student bodies, respectively. To better understand similarities and differences among teaching experiences of these teachers, a rich data set is collected consisting of: 1) semi-structured interviews with teachers at multiple stages during the academic year, 2) reflective journal entries shared by the teachers, and 3) multiple observations of classrooms. The interview data will be analyzed with an inductive approach outlined by Miles, Huberman, and Saldaña (2014). All teachers’ interview transcripts will be coded together to identify common themes across participants. Participants’ reflections will be analyzed similarly, seeking to characterize their experiences. Observation notes will be used to triangulate the findings. Descriptions for each case will be written emphasizing the aspects that relate to the identified themes. Finally, we will look for commonalities and differences across cases. The results section will describe the cases at the individual participant level followed by a cross-case analysis. This study takes into consideration how high school teachers’ experiences could be an important tool to gain insight into engineering education problems at the P-12 level. Each case will provide insights into how student body diversity impacts teachers’ pedagogy and experiences. The cases illustrate “multiple truths” (Arghode, 2012) with regard to high school level engineering teaching and embody diversity from the perspective of high school teachers. We will highlight themes across cases in the context of frameworks that represent teacher experience conceptualizing race, ethnicity, and diversity of students. We will also present salient features from each case that connect to potential recommendations for advancing P-12 engineering education efforts. These findings will impact how diversity support is practiced at the high school level and will demonstrate specific novel curricular and pedagogical approaches in engineering education to advance P-12 mentoring efforts.« less
5. Data-Related Ethics Issues in Technologies for Informal Professional Learning

   https://doi.org/10.1007/s40593-021-00259-x  

   Pammer-Schindler, Viktoria ; Rosé, Carolyn ( July 2021 , International Journal of Artificial Intelligence in Education)

   Abstract Professional and lifelong learning are a necessity for workers. This is true both for re-skilling from disappearing jobs, as well as for staying current within a professional domain. AI-enabled scaffolding and just-in-time and situated learning in the workplace offer a new frontier for future impact of AIED. The hallmark of this community’s work has been i) data-driven design of learning technology and ii) machine-learning enabled personalized interventions. In both cases, data are the foundation of AIED research and data-related ethics are thus central to AIED research. In this paper we formulate a vision how AIED research could address data-relatedmore »ethics issues in informal and situated professional learning. The foundation of our vision is a secondary analysis of five research cases that offer insights related to data-driven adaptive technologies for informal professional learning. We describe the encountered data-related ethics issues. In our interpretation, we have developed three themes: Firstly, in informal and situated professional learning, relevant data about professional learning – to be used as a basis for learning analytics and reflection or as a basis for adaptive systems - is not only about learners. Instead, due to the situatedness of learning, relevant data is also about others (colleagues, customers, clients) and other objects from the learner’s context. Such data may be private, proprietary, or both. Secondly, manual tracking comes with high learner control over data. Thirdly, learning is not necessarily a shared goal in informal professional learning settings. From an ethics perspective, this is particularly problematic as much data that would be relevant for use within learning technologies hasn’t been collected for the purposes of learning. These three themes translate into challenges for AIED research that need to be addressed in order to successfully investigate and develop AIED technology for informal and situated professional learning. As an outlook of this paper, we connect these challenges to ongoing research directions within AIED – natural language processing, socio-technical design, and scenario-based data collection - that might be leveraged and aimed towards addressing data-related ethics challenges.« less