First-year Engineering Course Research Articles

Ways of Being Smart in Engineering: Beliefs, Values, and Introductory Engineering Experiences

Common discourse conveys that to be an engineer, one must be “smart.” Our individual and collective beliefs about what constitutes smart behavior are shaped by our participation in the complex cultural practice of smartness. From the literature, we know that the criteria for being considered “smart” in our educational systems are biased. The emphasis on selecting and retaining only those who are deemed “smart enough” to be engineers perpetuates inequity in undergraduate engineering education. Less is known about what undergraduate students explicitly believe are the different ways of being smart in engineering or how those different ways of being a smart engineer are valued in introductory engineering classrooms. In this study, we explored the common beliefs of undergraduate engineering students regarding what it means to be smart in engineering. We also explored how the students personally valued those ways of being smart versus what they perceived as being valued in introductory engineering classrooms. Through our multi-phase, multi-method approach, we initially qualitatively characterized their beliefs into 11 different ways to be smart in engineering, based on a sample of 36 engineering students enrolled in first-year engineering courses. We then employed quantitative methods to uncover significant differences, with a 95% confidence interval, in six of the 11 ways of being smart between the values personally held by engineering students and what they perceived to be valued in their classrooms. Additionally, we qualitatively found that 1) students described grades as central to their classroom experience, 2) students described the classroom as a context where effortless achievement is associated with being smart, and 3) students described a lack of reward in the classroom for showing initiative and for considerations of social impact or helping others. As engineering educators strive to be more inclusive, it is essential to have a clear understanding and reflect on how students value different ways of being smart in engineering as well as consider how these values are embedded into teaching praxis.

A Primer for Design and Systems Thinkers: A First-Year Engineering Course for Mindset Development

Teaching students to think in complex systems and design is presumably intricate, creative, and nonlinear. However, due to the overwhelming number of standardized tools and frameworks, the process sometimes ends up being procedural and deductive. Conformity to rigid procedures loses the intention of creative problem-solving towards tackling wicked problems. This paper proposes a project-based approach to instill the mindsets for those who aspire to be design and systems thinkers through a first-year engineering course. Using the ADDIE model, the instructional design was implemented in three modules focusing on design, systems, and integration for real-world applications. The instructional design was evaluated via course feedback surveys and focus-group interviews. Students indicated positive impacts on creative mindsets, habits of systems thinkers, and interdisciplinary awareness. However, negative comments about the course arrangement such as heavy workload and disconnection between topics were identified. Suggestions from students, challenges faced by the instructors, and recommended practices are discussed. In times of increasing need to reform higher education due to digitization and artificial intelligence, this study provides a timely investigation of a new project-based and mindset-focused pedagogy in design and systems thinking education.

Building Inclusion in Engineering Teaming Practices

Background: Teamwork is a commonplace component of engineering practice. Engineering educators have been studying ways to make teams more effective and inclusive. However, students’ interpersonal interactions often create exclusionary experiences. Purpose/Hypothesis: This study investigates how the team formation process and what kinds of teaming practices and behaviors promote inclusive team environments. We were sensitized to Tuckman and Jensen’s (1977) revised theory of the five stages of teaming along with opportunity structures theory as frameworks to study how particular team interactions did or did not promote the inclusion of its members. Design/Method: This interpretive multi-case study used team observations, classroom artifacts, and student interviews in a first-year engineering course to understand the experiences of three teams. The primary data source, student interviews, were analyzed to understand the individual and collective team experience. These results were triangulated with the other data sources to build three team descriptions and a cross-team comparison. Results: Our findings indicate that the process of storming and norming in teams is an essential point in which social inclusion is built into teaming practices or not. While all teams, regardless of inclusive behaviors, were academically successful, the inclusive norms developed by some teams increased student learning and belonging. Conclusions: The emphasis on teaming in engineering education has often focused on the effectiveness of teams for a final project. However, the process of teaming and how peers shape the engineering environment is just as important for student’s belonging and persistence. The results of this work can provide strategies for supporting students’ teaming processes to develop more inclusive teams.

Using an open-ended socio-technical design challenge for entrepreneurship education in a first-year engineering course

Engineering graduates must be prepared with sound technical knowledge and a range of 21st century competencies and professional skills such as creativity, interdisciplinary collaboration, communication, and innovation to successfully solve today’s complex, global problems. Equally important is a deep appreciation of the degree to which technological solutions are situated within the context of human and natural environments. Despite calls from the National Academy of Engineering and several professional organizations to broaden engineering education to embrace these skills, most engineering programs persistently focus on the importance of technical skills. This paper describes an open-ended team-based design challenge that integrates entrepreneurial-minded (EM) skill development into an interdisciplinary first-year engineering course that approaches engineering from a socio-technical perspective. The challenge was implemented in two simultaneous first-year classes (n = 49), with the goal of fostering students’ broad professional skills and their appreciation of the links between engineering technologies and societal context. The action research study used a quasi-experimental design with convenience sampling and no control group to explore students’ self-perceived entrepreneurial-minded (EM) skills development. Data were collected with a retrospective questionnaire comprised of a series of 5-point Likert-type questions that asked students to assess the development of their EM skills in all three areas of the EM framework: Exhibit Curiosity, Establish Connections, and Create Value (the “3C” framework). Results indicate that students felt they developed EM skills in all three areas of the 3C Framework, with more fully developed skills in the Establish Connections and Create Value categories. Overall, this study suggests the effectiveness of using open-ended, socio-technical engineering design challenges for developing skills that will better prepare students to work collaboratively on complex and interdisciplinary problems they will face in their professional careers.

Student Awareness of Models in First-Year Engineering Courses

Contribution: This study assesses more than 800 students’ awareness of engineering model types before and after taking two first-year engineering courses across two semesters and evaluates the effect of each course. Background: All engineers must be able to apply and create models to be effective problem solvers, critical thinkers, and innovative designers. To help them develop these skills, as a first step, it is essential to assess how to increase students’ awareness of engineering models. According to Bloom’s taxonomy, the lower remember and understand levels, which encompass awareness, are necessary for achieving the higher levels, such as apply, analyze, evaluate, and create. Research Questions: To what extent did student awareness of model types change after taking introductory engineering courses? To what extent did student awareness of model types differ by course or semester? Methodology: In this study, a survey was designed and administered at the beginning and end of the semester in two first-year engineering courses during two semesters in a mid-sized private school. The survey asked students questions about their definition of engineering modeling and different types of models. Findings: Overall, student awareness of model types increased from the beginning of the semester toward the end of the semester, across both semesters and courses. There were some differences between course sections, however, the students’ awareness of the models at the end of the academic year was similar for both groups.

The Impact of Implementation and Evaluation of Engineering Exploration Activities in a First-Year Engineering Course

Abstract: The engineering exploration (EE) plays a vital role in technical education as engineers are envisioned for solving real time societal problems. This paper explores the outcome of introducing a course on EE for the students of first year engineering of KLE Dr. M.S.S.C.E.T., Belagavi campus under KLE Technological University, Hubballi, Karnataka, India. An impact analysis of offering the course to the students of multidisciplinary branches of engineering has been carried out based on student performance data. The course offers the hands-on training in various modules such as, Project Management (PM), Engineering Design (ED), Platform Based Development (PBD), Motor Sizing and Battery Sizing (MSBS), team building, sustainability, and ethics. The significance of activity-based learning is emphasized for understanding and applying decision making process to arrive at multiple solutions for a given technical problem. The data from participation and performance of students in activities of each module is analyzed to assess the idea for including this course in the curriculum. On comparison to the inclass training the team and individual activity-based approach in the course enhances the participation of the students in the learning and exploring the multidisciplinary skills of engineering. Keywords : Decision Making; Engineering Design, Enginee ring Explora tion, Pl at form Ba sed Development; Project Management. learning.

Journey Continues: Piloting Competency-based Assessment in a First-year Engineering Course on Ethics, Communication, and Creative Problem Solving

Renaissance Engineering 1 is a first-year engineering course that is the “flagship course” of Lassonde School of Engineering, where students are introduced to essential concepts and practices in ethics, communication, and creative problem solving. It is a large course that impacts over 600 students per year. Since Fall 2020, partly as a response to the pandemic, we fundamentally transformed the content and delivery of the course. This year, we have continued this transformative journey with an emphasis on reinventing the assessment approach. The limitations of normative grading are wellknown in the education field. Specifically, to our situation, the appropriateness of this practice in professional education where the goal is to ensure every student acquires the necessary competence, is suspect. Specification grading bridges normative and competencybased grading paradigms and has been shown to be effective in the engineering education setting. We applied specification grading to Renaissance Engineering 1. In all assignments, including the final case study, students are asked to satisfy a number of requirements distributed across four levels of competencies: Level 1: Foundational requirements for being a well-adjusted citizen, Level 2: Foundational requirements for being a contributing engineer, Level 3: Advanced requirements for being a well adjusted citizen, and Level 4: Advanced requirements for being a contributing engineer. Students are assigned grades from D to A based on their requirement satisfaction. Students have a limited number of chances to revise and resubmit their work if they have failed to satisfy all requirements in order to demonstrate competency. If they fail to meet multiple level 1 requirements after resubmission, they will fail the course. During the Fall-2021 term, we faced a number of unexpected challenges and surprises. Compared to previous years, this cohort - having experienced tremendous difficulties through the pandemic - were more tentative and insecure and took to a new grading scheme with notable trepidation initially. Surprisingly, many students had notable difficulty following clear written instructions, which is likely another pandemic-induced abnormality. Nevertheless, the majority of the students became comfortable with the scheme by the end of the term and achieved satisfactory learning outcomes. Significantly, while the majority of the students (~58%) achieved A or B grades, a significant minority (~18%) of students had failed the course. The course is offered to a new cohort of students in Winter 2022. Following a system thinking approach, we adjusted the grading scheme implementation based on our experience and learnings from the Fall-2021 term through winter term that led us to new and consistent findings. However, the benefits of specification grading in ensuring students meet critical competencies is particularly relevant for a professional education program such as engineering. Indeed, the bimodal grade distribution calls into question the status quo of normbased grading and calls for further research on assessment schema in engineering.

Integrating a critical reflection framework for experiential learning activities into a large first-year engineering course

First-year university is an ideal time for students to begin the development of critical thinking and self-directed learning skills. Structuring critical reflection with experiential learning activities can provide opportunities for students to develop and learn how to apply these skills in the future. Previous research has identified considerations for implementing critical reflection into the first-year engineering curricula in ways that students will meaningfully engage. The primary goal of this work was to integrate critical reflection learning outcomes, activities, and assessments into the first-year engineering curriculum connected to experiential learning activities.
 Critical reflection activities were scaffolded to a critical reflection framework, adapted to the first-year engineering context. Three critical reflection assessments were mapped to experiential learning activities to further the development of these skills in parallel, such as teamwork, problem solving, and communication. One assignment involved a peer review process, where students had the opportunity to learn from each other’s experiences, and give constructive feedback through learning of students’ shared university experiences.
 The benefits of developing student reflection skills are obvious, and the improvements witnessed are encouraging. However, there remain many challenges, particularly with respect to assessment methodologies, and student motivation. Meaningful integration of critical reflection remains an iterative learning experience for the instructors.

The Facilitator Model: Investigating a Novel Dual Credit Experience for Open-Ended Design Coursework.

This study explored the implementation of a novel approach to dual credit referred to as the facilitator model that can be suited for STEM-focused coursework such as courses focused on engineering, design, technology, and innovation. Unlike other models, high school teachers facilitate the implementation of a college course for both high school and college credit in collaboration with a university instructor who evaluates student learning. This novel approach was specifically implemented for an open-ended undergraduate design course within an engineering technology college, similar to many first-year engineering course experiences that emphasize project-based learning, from a large research-intensive public university. For this study, the facilitator model was piloted with five high school teachers as facilitators of an undergraduate design course for dual credit at two innovative, STEM-focused public charter schools. The qualitative research design focused on examining (1) teacher needs while implementing, and perceptions of, the dual credit facilitator model for an undergraduate design course in urban public charter schools and (2) the impact of this model on student learning. This study included the collection and analysis of over 90 h of interviews, focus groups, surveys, and observations. Results provide a promising outlook for the use of the facilitator model when delivering dual credit content that is open ended and within the context of design, technology, and engineering by (1) navigating multiple institutional policies and processes related to dual-credit implementation, (2) providing ongoing support and fostering collaboration between high schools and university, (3) enabling students to earn directly transcripted college credits that count as a required course toward degree completion, and (4) increasing affordability and access to dual credit coursework. These potential advantages over other dual credit models can help address barriers that may limit access to dual credit coursework, specifically for underserved high schools.Supplementary InformationThe online version contains supplementary material available at 10.1007/s41979-022-00075-5.

A Common First-Year Undergraduate Engineering Course in Manufacturing based on Industrial Robots and Flipped Classroom

The pedagogy of a first-year engineering course in manufacturing is presented. This course entitled Manufacturing and Society involves collaboration with social science, is based on industrial robots as the central theme to attract students’ interests and utilizes the flipped classroom approach for delivery. We hypothesize that, in one semester, recent high school graduates will be able to gain knowledge in manufacturing by learning the computer-aided engineering (CAD) software, applying CAD to design a penholder, fabricating the penholder using additive manufacturing and computer-aided manufacturing (CAM) software, programming the robot to create a toolpath for the pen, drawing using the pen on the penholder guided by a robot, and elaborating on impacts of robotic painting on society from a social science perspective. This course is designed to give students, regardless of their intended major in engineering, broad knowledge in manufacturing via 10 engineering, 3 social science, and 10 technical communication lectures; 8 labs; and 4 projects. The social science lectures and discussions focus on how knowledge about society can be used to inform design and manufacturing decisions, social science research methods for understanding how engineers and technology can impact people’s lives, and changing trends in work, the workplace, and the future workforce as it relates to manufacturing. This course aimed to give undergraduate first-year engineering students a positive view of advanced manufacturing and its impact on society. Student evaluations and comments were positive and affirmed the learning objective of teaching manufacturing to the first-year engineering students. The flipped classroom approach was demonstrated to be ideal during the COVID-19 pandemic with limited capacity for in-person lectures and labs. The use of flipped classrooms allowed students to learn at their own pace, review and reinforce knowledge, have a closer interaction with instructors, and reduce the number of technical errors using simulation tools. This course with the support of flipped classroom pedagogy can be successfully implemented in the post-pandemic era, devoting the time of the class to answer questions, expand upon the class content and have a closer in-person interaction with students.

Preparing First-Year Engineering Students to Think About Code: A Guided Inquiry Approach

In the wake of the so-called fourth industrial revolution, computer programming has become a foundational competency across engineering disciplines. Yet engineering students often resist the notion that computer programming is a skill relevant to their future profession. Here are presented two activities aimed at supporting the early development of engineering students’ attitudes and abilities regarding programming in a first-year engineering course. Both activities offer students insights into the way programs are constructed, which have been identified as a source of confusion that may negatively affect acceptance. In the first activity, a structured, language-independent way to approach programming problems through guided questions was introduced, which has previously been used successfully in introductory computer science courses. The team hypothesized that guiding students through a structured reflection on how they construct programs for their class assignments might help reveal an understandable structure to them. Results showed that students in the intervention group scored nearly a full letter grade higher on the unit’s final programming assessment than those in the control condition. The second activity aimed to help students recognize how their experience with MATLAB might help them interpret code in other programming languages. In the intervention group, students were asked to review and provide comments for code written in a variety of programming languages. A qualitative analysis of their reflections examined what skills students reported they used and, specifically, how prior MATLAB experience may have aided their ability to read and comment on the unfamiliar code. Overall, the ability to understand and recognize syntactic constructs was an essential skill in making sense of code written in unfamiliar programming languages. Syntactic constructs, lexical elements, and patterns were all recognized as essential landmarks used by students interpreting code they did not write, especially in new languages. Developing an understanding of the static structure and dynamic flow required of programs was also an essential skill which helped the students. Together, the results from the first activity and the insights gained from the second activity suggest that guided questions to build skills in reading code may help mitigate confusion about program construction, thereby better preparing engineering students for computing-intensive careers.

The impacts of scaffolding socially shared regulation on teamwork in an online project-based course

Employers now consider teamwork one of the essential skills for students to acquire during their academic life. However, COVID-19 has accelerated the transition towards online learning, affecting how we work in teams. This study looked at how scaffolding socially shared regulation of learning can influence teamwork in an online, project-based course. Intra-group peer assessment was used to analyze three variables during a first-year engineering course. By following the proposed scaffolding, students found an optimum balance in their contribution to team meetings. They also managed to establish a positive working environment earlier in the semester. This study contributes to the field by showing that scaffolding socially shared regulation in an online, project-based course allows for an interplay between collaboration during class and cooperation outside of it. This interplay ultimately leads teams to achieve better results on their final project.

Preparing first-year engineering students for cooperation in real-world projects

ABSTRACT Problem-based learning is an active student-centred approach, which requires engineering students to work together in solving real-world problems. This study aims to review the incorporation of cooperative learning principles in an introductory first-year engineering course that aimed to develop students’ group skills while working on problem-based projects. A total of 367 students participated in 65 groups. No formal examination was written, as this course only consists of practical work. Data collection included an assessment matrix and reflective sheets where students’ individual and group contribution to the project were recorded. The data were structured and visually integrated into tables. Based on the findings, this research suggests that the integration of cooperative learning principles enhanced the development of essential group skills and team performance in some of the groups while working on real-world engineering projects.

‘What if my Wi-Fi crashes during an exam?’ First-year engineering student perceptions of online learning during the COVID-19 pandemic

ABSTRACT The COVID-19 pandemic necessitated a rapid transition to remote education in post-secondary institutions. To understand the first-year engineering undergraduate student perceptions of this transition to online learning, surveys were administered in two design-focused first-year engineering courses with a total of 201 enrolled students. A thematic qualitative analysis of open-ended survey questions resulted in 7 themes: Health & Safety, Growth Mindset, Student Agency, Course Design, Coping/Management, Execution, and Technology. Students expressed positive and negative perceptions of remote education and included opinions related to current and future learning, and future careers. Most student perceptions were grounded in fear of the unknown, and student mental health emerged as a predominant undercurrent in the data. The identified themes and underlying student perceptions suggest that instructors teaching online should aim to (1) support communication, collaboration, and student engagement, (2) promote meaningful learning and growth mindsets, and (3) foster strong learning partnerships and class experiences.

Developing disciplinary discourse in a first-year engineering course: The DELNA initiative

First-year students in higher education settings tend to face ongoing challenges with variations in discursive practices and genres within their discipline. Within this context, a Diagnostic English Language Needs Assessment (DELNA) was administered to first-year engineering students to assess the strengths and needs of their ability to navigate academic language. The purpose of this paper is to report on our initiative to support student’s development of academic literacy, specifically their disciplinary language proficiency through the implementation of pedagogical support activities.

Investigating the effect of nudges for improving comment quality in active video watching

Developing and maintaining constructive engagement is a crucial challenge in learning by watching videos. AVW-Space is an online video-based learning platform which enhances student engagement via note-taking and personalised support. Previous studies with AVW-Space show that students who write comments, especially high-quality comments, learn more. The goal of the study reported in this paper is to encourage students to write better-quality comments. After automating the assessment of comment quality using machine learning approaches, we developed Quality nudges which encourage students to write better comments. We conducted a study in a first-year engineering course to analyse the learning effects of the Quality nudges. The results show that Quality nudges enhanced constructive engagement and learning. The contribution of this research is in proposing methodology for increasing the quality of student comments in video-based learning.

Challenge-based and Competency-based Assessments in an Undergraduate Programming Course

In this work, we investigate an optimal assessment strategy to measure student learning in the first-year undergraduate engineering course at X-Department at X University. Specifically, we evaluate and compare challenge-based and competency-based assessment strategies. In the challenge-based approach, the students are required to design a C++-based application that meet the required design objectives. The competency-based assessment involves assessing learning by asking a variety of pointed questions pertaining to a single or a small group of concepts. After studying the performance of 207 students, we found that in the challenge-based assessment, due to the complex nature of the questions that assess numerous concepts simultaneously, students who are not very thorough with even one or two concepts fared very poorly since they were unable to finish the challenge and present a functional prototype of the program. On the other hand, the competency-based assessment allowed for a more balanced approach in which the students’ learning was reflected more accurately by their performance in the various assessments.

Analyzing Students’ Computational Thinking Practices in a First-Year Engineering Course

This study investigates the relationship between two related computational thinking practices: data practices and computational problem-solving practices in acquiring related computational thinking practices during a first-year undergraduate engineering course. While computational thinking theory is still developing, empirical studies can help further understand how students demonstrate this knowledge and their progression in attaining the practices. Therefore, with this empirical study, the following questions are addressed. RQ1: What are the differences in students' computational thinking practices at the beginning of an undergraduate introductory programming course? RQ 2: How do these differences correspond to the acquisition of more advanced computational thinking practices? The use of a descriptive non-experimental design that aims to understand the correlation between practices related to data and computational problem-solving is presented. A machine learning technique is employed, utilizing historical data from introductory programming for a problem-solving course with more than 1000 first-year engineering students. After identifying groups of students defining different profiles, data from posterior performance in more advanced programming topics were descriptively analyzed. This study supports the characterization of four different student profiles demonstrating differences in their performance at the beginning of the semester. From these four profiles, two of them show a subsequent differential progression besides their similarity at the beginning of the semester. In this particular case, troubleshooting and debugging appear as a relevant competency when distinguishing these two learners' groups. These findings suggest that previous knowledge or exposure to different practices can result in different progressions of more complex computational practices, emphasizing the relevance of troubleshooting and debugging as a practice required for a successful and timely progression on the acquisition of other computational thinking practices.

How Do Different Reflection Prompts Affect Engineering Students’ Academic Performance and Engagement?

This study explored the relative effectiveness of generic versus specific reflection prompts on engineering students’ academic performance and engagement with four scales (i.e., behavioral, emotional, social, cognitive). The sample consisted of 208 engineering students in two sections of a required first-year engineering course. By using a quasi-experimental research design in classroom settings, students in the specific and generic reflection prompt conditions were compared based on exams, project scores, and problem sets. Additionally, the role of reflection prompts in students’ behavioral, emotional, social, and cognitive engagements was investigated across conditions by using pre- and post-surveys administered at the beginning and end of the semester. Students in both conditions were asked to submit a total of 52 reflections during an academic semester. Results showed that students in the specific prompts condition performed significantly better on exams, total project score, and two problem sets than students in the generic prompts condition. In terms of engagement, results showed there was a significant decrease in behavioral, emotional, and cognitive scales for both conditions. On the other hand, for the social scale, while there was a decrease for students in generic prompts condition, there was an increase for the ones in specific prompts condition.

INCLUSIVE TEAMWORK DESIGN WITHIN A FIRST YEAR ENGINEERING COURSE

Unless we intentionally design teamwork practices within engineering courses, there will be inequity in learning outcomes linked to students’ identity (e.g. specific cultures and gender). In this study we aim to address the inequity of learning outcomes for woman engineering students in a first-year project-based course. We provide evidence that supports this goal and describe four literature-driven best practices for improving teamwork practices:
 1. Technical and non-technical roles will rotate.2. Groups will be assigned and will be constrained to not have a gender-solo student.3. Low-stakes, technically oriented icebreakers will accelerate trust-building.4. Teams of students will receive formative feedback on team effectiveness, function and inclusivity.
 
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