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1. Investigating factors related to ethical expectations and motivations among Chinese engineering students

   https://doi.org/10.1080/03043797.2022.2066509  

   Clancy, Rockwell F.; Ge, Yan; An, Longfei (April 2022, European Journal of Engineering Education)

   Research in engineering ethics has examined the effects of education on the ethical knowledge and reasoning of students from mostly WEIRD (Western educated industrialized rich democratic) cultures. However, it is unclear that findings from WEIRD samples are transferable across cultures. China now graduates and employs more STEM (science technology engineering mathematics) majors than any other country, although little work has examined the ethical perspectives and education of these students. Therefore, a study was conducted exploring the kinds of ethical issues Chinese engineering students expect to encounter (expectations), the importance they attach to being ethical (motivations), and their relations to various curricular and extra-curricular factors, including sources of ethical influence, nature and extent of ethics education, and perceived usefulness of ethics education. 163 Chinese engineering majors from two Chinese-foreign educational institutes in Shanghai, China completed a survey. Results indicate participants were most likely to expect to face ethical issues related to fairness, and that the perceived usefulness of ethics education was predictive of both ethical expectations and motivations, followed by encountering instructors who cared about ethics. The extent of ethics education was related to ethical expectations but not motivations. The implications of these findings and directions for future work are discussed. 

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2. “Show Them the Playbook That These Companies Are Using”: Youth Voices about Why Computer Science Education Must Center Discussions of Power, Ethics, and Culturally Responsive Computing

   https://doi.org/10.1145/3660645  

   Ryoo, Jean J; Blunt, Takeria (September 2024, ACM Transactions on Computing Education)

   Culturally responsive computing (CRC), that centers sociopolitical issues and transformational uses of technology, has been described as valuable for increasing engagement with computing, especially for historically underrepresented minoritized students. But what do high school students think? Through a sociocultural lens prioritizing student voices recorded in 56 interviews over a period of 2 years (1–3 years after students’ first experience with computer science (CS) education through Exploring Computer Science or Advanced Placement CS Principles in high school), this study centers the perspectives of 39 primarily low-income, Latine and Black youth from urban California and rural Mississippi public schools to understand what they perceive as the role of technology in our world and what they subsequently desire of their computing education. While none have studied CRC before, the majority responded with CRC ideas about the kind of pedagogy they believe would make for a more meaningful computing learning experience: They see computing as a form of power that impacts both good and bad in the world and want computing educators to prepare them to take on these issues of equity, ethics, social responsibility, and underrepresentation in the field. The students’ perspectives offer important pedagogical insight into how to support deeper engagement with computing in current CS for All initiatives, while also preparing youth for the rapidly evolving and increasingly complex computing landscape that impacts all of our lives. 

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3. 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)

   null (Ed.)

   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-related 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. 

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4. Social Responsibility Attitudes Among Undergraduate Computer Science Students: An Empirical Analysis

   Kreth, Quintin; Schiff, Daniel; Lee, Jeonghyun; Zegura, Ellen; Borenstein, Jason (August 2022, 2022 ASEE Annual Conference & Exposition)

   Scholars and public figures have called for improved ethics and social responsibility education in computer science degree programs in order to better address consequential technological issues in society. Indeed, rising public concern about computing technologies arguably represents an existential threat to the credibility of the computing profession itself. Despite these increasing calls, relatively little is known about the ethical development and beliefs of computer science students, especially compared to other science and engineering students. Gaps in scholarly research make it difficult to effectively design and evaluate ethics education interventions in computer science. Therefore, there is a pressing need for additional empirical study regarding the development of ethical attitudes in computer science students. Influenced by the Professional Social Responsibility Development Model, this study explores personal and professional social responsibility attitudes among undergraduate computing students. Using survey results from a sample of 982 students (including 184 computing majors) who graduated from a large engineering institution between 2017 and 2021, we compare social responsibility attitudes cross-sectionally among computer science students, engineering students, other STEM students, and non-STEM students. Study findings indicate computer science students have statistically significantly lower social responsibility attitudes than their peers in other science and engineering disciplines. In light of growing ethical concerns about the computing profession, this study provides evidence about extant challenges in computing education and buttresses calls for more effective development of social responsibility in computing students. We discuss implications for undergraduate computing programs, ethics education, and opportunities for future research. 

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5. Role-Playing Computer Ethics: Designing and Evaluating the Privacy by Design (PbD) Simulation

   https://doi.org/10.1007/s11948-020-00250-0  

   Shilton, Katie; Heidenblad, Donal; Porter, Adam; Winter, Susan; Kendig, Mary (December 2020, Science and Engineering Ethics)

   null (Ed.)

   Abstract There is growing consensus that teaching computer ethics is important, but there is little consensus on how to do so. One unmet challenge is increasing the capacity of computing students to make decisions about the ethical challenges embedded in their technical work. This paper reports on the design, testing, and evaluation of an educational simulation to meet this challenge. The privacy by design simulation enables more relevant and effective computer ethics education by letting students experience and make decisions about common ethical challenges encountered in real-world work environments. This paper describes the process of incorporating empirical observations of ethical questions in computing into an online simulation and an in-person board game. We employed the Values at Play framework to transform empirical observations of design into a playable educational experience. First, we conducted qualitative research to discover when and how values levers—practices that encourage values discussions during technology development—occur during the design of new mobile applications. We then translated these findings into gameplay elements, including the goals, roles, and elements of surprise incorporated into a simulation. We ran the online simulation in five undergraduate computer and information science classes. Based on this experience, we created a more accessible board game, which we tested in two undergraduate classes and two professional workshops. We evaluated the effectiveness of both the online simulation and the board game using two methods: a pre/post-test of moral sensitivity based on the Defining Issues Test, and a questionnaire evaluating student experience. We found that converting real-world ethical challenges into a playable simulation increased student’s reported interest in ethical issues in technology, and that students identified the role-playing activity as relevant to their technical coursework. This demonstrates that roleplaying can emphasize ethical decision-making as a relevant component of technical work. 

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