In 2017, the report Undergraduate Research Experiences for STEM Students from the National Academy of Science and Engineering and Medicine (NASEM) invited research programs to develop experiences that extend from disciplinary knowledge and skills education. This call to action asks to include social responsibility learning goals in ethical development, cultural issues in research, and the promotion of inclusive learning environments. Moreover, the Accreditation Board for Engineering and Technology (ABET), the National Academy of Engineering (NAE), and the National Science Foundation (NSF) all agree that social responsibility is a significant component of an engineer’s professional formation and must be a guiding force in their education. Social Responsibility involves the ethical obligation engineers have to society and the environment, including responsible conduct research (RCR), ethical decision-making, human safety, sustainability, pro bono work, social justice, and diversity. For this work, we explored the views of Social Responsibility in engineering students that could provide insight into developing formal and informal educational activities for future summer programs. In this exploratory multi-methods study, we investigated the following research question: What views of social responsibility are important for engineering students conducting scientific in an NSF Research Experiences for Undergraduates (REU)? The REU Site selected for this study was a college of engineering located at a major, public, comprehensive, land-grant research university. The Views of Social Responsibility of Scientists and Engineers (VSRoSE) was used to guide our research design. This validated instrument considers the following major social responsibility elements: 1) Consideration of societal consequences, 2) Protection of human welfare and safety, 3) Promotion of environmental sustainability, 4) Efforts to minimize risks, 5) Communication with the public, and 6) Service and Community engagement. Data collection was conducted at the end of their 10-week-long experience in Summer 2022 using Qualtrics. REU students were invited to complete an IRB-approved questionnaire, including collecting demographic data, the VSRoSE-validated survey, and open-ended questions. Open-ended questions were used to explore what experiences have influenced positive student views of social responsibility and provide rich information beyond the six elements of the VSRoSE instrument. The quantitative data from the VSRoSE is analyzed using SPSS. The qualitative data is analyzed by the research team using an inductive coding approach. In this coding process, the researchers derive codes from the data allowing the narrative or theory to emerge from the raw data itself, which is great for exploratory research. The results from this exploratory study will help to strategically initiate a formal and informal research education curriculum at the selected university. In addition, the results may serve as a way for REU administrators and faculty to create metrics of impact on their research activities regarding social responsibility. Finally, this work intends to provoke the ethics and research community to have a deeper conversation about the needs and strategies to educate this unique population of students.
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RAISE: Robotics & AI to improve STEM and social skills for elementary school students
The authors present the design and implementation of an exploratory virtual learning environment that assists children with autism (ASD) in learning science, technology, engineering, and mathematics (STEM) skills along with improving social-emotional and communication skills. The primary contribution of this exploratory research is how educational research informs technological advances in triggering a virtual AI companion (AIC) for children in need of social-emotional and communication skills development. The AIC adapts to students’ varying levels of needed support. This project began by using puppetry control (human-in-the-loop) of the AIC, assisting students with ASD in learning basic coding, practicing their social skills with the AIC, and attaining emotional recognition and regulation skills for effective communication and learning. The student is given the challenge to program a robot, Dash™, to move in a square. Based on observed behaviors, the puppeteer controls the virtual agent’s actions to support the student in coding the robot. The virtual agent’s actions that inform the development of the AIC include speech, facial expressions, gestures, respiration, and heart color changes coded to indicate emotional state. The paper provides exploratory findings of the first 2 years of this 5-year scaling-up research study. The outcomes discussed align with a common approach of research design used for students with disabilities, called single case study research. This type of design does not involve random control trial research; instead, the student acts as her or his own control subject. Students with ASD have substantial individual differences in their social skill deficits, behaviors, communications, and learning needs, which vary greatly from the norm and from other individuals identified with this disability. Therefore, findings are reported as changes within subjects instead of across subjects. While these exploratory observations serve as a basis for longer term research on a larger population, this paper focuses less on student learning and more on evolving technology in AIC and supporting students with ASD in STEM environments.
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- NSF-PAR ID:
- 10388874
- Date Published:
- Journal Name:
- Frontiers in Virtual Reality
- Volume:
- 3
- ISSN:
- 2673-4192
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.3389/frvir.2022.968312
