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Industrial ecology and sustainability education have evolved over time, as this relatively new discipline has emerged and has been refined. Courses engaging with these topics are often found in engineering departments, and feature project or problem‐based learning (PBL) commonly with an industrial partner. This provides students the opportunity to apply the topics that they have learned in class in a real‐world situation, complete with the constraints and uncertainties inherent in practice. Community‐based learning (CBL), a combination of service learning and PBL, allows students to not only apply the material from a sustainability course, but also to do so in service of a community partner. This work presents an analysis of a multi‐year effort in teaching a CBL course on the topic of industrial ecology and sustainability in a North American context. Knowledge probes are utilized to quantify student preparation for the course and confidence in knowledge gained during the course in a longitudinal manner. Meanwhile, evolving student reflection is utilized to assess the impact of how the CBL element of the course influenced student thinking about the role of sustainability and industrial ecology within engineering education. The findings suggest that applying CBL to industrial ecology education has the potential to further enhance student learning experiences, while also providing a valuable service experience. [ABSTRACT FROM AUTHOR]

Background: Increasing engineering students' engagement with public welfare is central to promoting ethical responsibility among engineers and enhancing engineers' capacity to serve the public good. However, little research has investigated how student experience attempts to increase engagement with public welfare concerns. Purpose/Hypothesis: This study identifies and analyzes the challenges facing efforts to increase engineering students' engagement with the social and ethical implications of their work through a study of students' experiences at two engineering programs that emphasize public welfare engagement. Design/Methods: We conducted interviews with engineering students (n = 26) and ethnographic observations of program events, classes, presentations, and social groups (n = 60) at two engineering programs that focus on engagement with public welfare and foreground learning about the social context and social impacts of engineering. We analyzed these data to identify areas in which students experienced challenges integrating considerations of public welfare into their work. Results: We found that four main areas where engineering students experienced difficulty engaging with considerations of public welfare: (a) defining and defending their identities as engineers; (b) justifying the value of nontechnical work and relevance to engineering; (c) redefining engineering expertise and integrating community knowledge into projects; and (d) addressing ambiguous questions and ethics. Conclusions: This work contributes to knowledge about the barriers to increasing students' engagement with issues of public welfare, even when programs encourage such engagement. These findings are relevant to broader efforts to increase concerns for ethics, social responsibility, and public welfare among engineers. [ABSTRACT FROM AUTHOR]

Background: Project‐based learning has shown promise in improving learning outcomes for diverse students. However, studies on its impacts have largely focused on the perceptions of students and instructors or students' immediate performance. This study reports the impact of taking a project‐based introductory engineering course on students' subsequent academic success. Purpose/Hypothesis: This quantitative study examines characteristics related to enrollment in the project‐based introductory engineering course and subsequent academic performance. We hypothesized that participation in the course would be associated with higher academic performance in subsequent engineering courses. In addition, we examined heterogeneity effects for students traditionally underrepresented in engineering education. Design/Method: This study utilized data on students' demographics, academic preparation, course enrollment, and course performance from 1,318 engineering students from a large public university in Southern California. Logistic regression analysis with robust standard errors examined enrollment patterns. We applied propensity scores as inverse‐probability weights in multiple linear models to calculate the average treatment effect on the treated for participants from the project‐based introductory engineering course in five subsequent engineering courses. This analysis was conducted for all students and for selected student subgroups. Results: Enrollment in the project‐based introductory engineering course was positively associated with students' performance in some subsequent engineering courses and did not adversely affect students traditionally underrepresented in engineering. Conclusions: This study provides an example of a project‐based introductory engineering course that can support students' academic success in engineering. The benefits detected for some student populations (e.g., female) are encouraging for broadening engineering pathways. [ABSTRACT FROM AUTHOR]

Background: Research on gender differences and practical initiatives to attract girls to engineering are often carried out at the macro level where science, technology, engineering, and mathematics are aggregated into an entity called STEM. Purpose/Hypothesis: This article challenges the aggregated approach, analyzes gender differences among science and engineering applicants in Finland, and discusses the implications of the findings for engineering education and intervention initiatives. Design/Method: The data consist of the application choices of all applicants to Bachelor studies in Finland in 2016 (151,369 individuals), from which two groups were selected: persons whose first application choice was engineering/technology and persons whose first choice was natural sciences or mathematics. The application choices of these individuals (in total 9,104) are statistically described and analyzed. Results: Engineering/technology (TECH) and natural sciences and mathematics (SCIMA) subjects are not perceived as alternative options by female applicants. Almost 60% of all female TECH applicants and more than 50% of the female SCIMA applicants apply only to their respective programs. Moreover, TECH applicants considering other options prefer other subjects to SCIMA and vice versa. Conclusions: Encouraging more girls to study STEM is not a sufficient solution for attracting more women to engineering. Instead of or in addition to encouraging girls to study science and mathematics in K‐12 education, it is necessary to open the black box of technology and help young people better understand what engineering is about. [ABSTRACT FROM AUTHOR]

Background: The engineering education discourse increasingly recognizes the role of empathy in preparing students for 21st century challenges. This pedagogical and theoretical interest is not supported by an empirical understanding of the role empathy plays in students' professional formation. Purpose This study investigated how undergraduate engineering students made sense of empathy during a series of empathic communication modules as part of a mechanical engineering design course. Methodology: Post‐module reflections from 146 students were collected in two iterations of the course. The data were qualitatively analyzed using social phenomenology to focus on participants' meaning making in the context of their overall experiences. A model of empathy as interrelated skills, orientations, and ways of being theoretically framed the data gathering and analysis. Findings Three analytic categories structured the significant variation in students' meaning making. (a) Relationships with Others captured students' understandings of the relationship with and role of others along the three dimensions of Distance, Difference, and Power. (b) The Act of Learning identified varying degrees of resonance or disconnect between students' expectations of engineering learning and the forms of learning encountered in the modules. (c) Empathy as a Conceptual Object described the variation of students' own understandings of the nature and function of empathy in the context of their engineering learning. Conclusions: The experiential significance of engaging with empathy makes visible and pedagogically accessible students' value orientations that frame their relationships toward others and their self‐understanding as engineers, thus providing potential new avenues for research and education to engage less tangible facets of engineering formation. [ABSTRACT FROM AUTHOR]

Background: The use of metacognition is critical to learning, especially in fields such as engineering that involve problem‐solving and difficult conceptual material. Due to limitations with current methodological approaches, new methods are needed to investigate engineering students' metacognitive engagement in learning situations that are self‐directed, such as study groups. Purpose: Our purpose was to develop an approach to investigate the metacognitive engagement of undergraduate engineering students in self‐directed learning environments. The Naturalistic Observations of Metacognition in Engineering (NOME) Observational Protocol and Coding Strategy is a qualitative data collection method that allows researchers to observe the behaviors of students who are studying in groups to determine the student's engagement in different metacognitive practices. The NOME is intended to be used by researchers interested in studying online metacognitive behaviors without the direct interference of a methodological approach. Design/Method: We observed three study groups where students were working on an engineering problem‐solving homework assignment. Using a taxonomic definition of metacognition, we coded episodes of observation transcripts to identify behaviors that represented key definitions in the taxonomy. Results: We combined subcodes and descriptions of behaviors with key definitions to develop a coding strategy useful for future observational studies. Evidence of intercoder agreement and agreement in unitizing indicates that the coding strategy can reliably be used by multiple trained coders to identify metacognitive engagement. Conclusions: The reliability evidence shows that the NOME may be a useful tool for researchers in engineering education interested in studying the metacognitive habits of engineering students in self‐directed study. [ABSTRACT FROM AUTHOR]

Background: Mixed methods research designs in engineering education often frame the "mixed" aspect of the design from the perspective of data collection. However, intentional mixing throughout the research design—particularly during data analysis—may enable richer meta‐inferences about a phenomenon. Purpose: This paper provides examples of strategies for mixing during data analysis in mixed methods program evaluation in engineering education. Although the context is program evaluation, the procedures are applicable in engineering education research more broadly. Scope/Method: This review presents examples of mixed methods analysis strategies in the context of a data set with qualitative and quantitative data from a global engineering program at a large Mid‐Atlantic university. The structure of the examples presents mixed research questions, pragmatic purposes for such studies, and examples of different mixing strategies for the analysis stage. The mixing strategies highlighted include extreme case sampling, converting, creating a blended variable, blending variables and themes across strands, and cross‐case comparison. Conclusions: This review of mixed methods in program evaluation prompted a reflection of processes in the design of studies, how the designs are described beyond the usual taxonomies in the mixed methods literature, and implications for the greater community of engineering education researchers. Five mixed methods designs were formulated around the mixing strategies. [ABSTRACT FROM AUTHOR]

The article focuses on challenges in teaching sustainable engineering, which can be considered the operational arm of industrial ecology. The author asserts that the acceptance of sustainable engineering programs is complicated because some are still skeptical of sustainability. He adds that engineering, as a profession, was also struggling due to the packed undergraduate curriculum which is constrained by accreditation requirements. Industrial ecology deals with integrating social and environmental considerations into product design. The author concludes that it is hard to educate engineers to be aware of the social and environmental context within which products used.