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1. Work in Progress: Interactive Introductory Online Modules on Wireless Communications and Radio-frequency Spectrum Sharing

   Dietrich, C. B. ; Polys, N. F. ; Reid, K. ; García Sheridan, J. A. ; Emenonye, D. ; Gomez, X. ; Tolley, J. ; Makin, C. ; Gaeddert, J. ( July 2021 , ASEE Annual Conference proceedings)

   1. Description of the objectives and motivation for the contribution to ECE education The demand for wireless data transmission capacity is increasing rapidly and this growth is expected to continue due to ongoing prevalence of cellular phones and new and emerging bandwidth-intensive applications that encompass high-definition video, unmanned aerial systems (UAS), intelligent transportation systems (ITS) including autonomous vehicles, and others. Meanwhile, vital military and public safety applications also depend on access to the radio frequency spectrum. To meet these demands, the US federal government is beginning to move from the proven but inefficient model of exclusive frequency assignments to amore »more-efficient, shared-spectrum approach in some bands of the radio frequency spectrum. A STEM workforce that understands the radio frequency spectrum and applications that use the spectrum is needed to further increase spectrum efficiency and cost-effectiveness of wireless systems over the next several decades to meet anticipated and unanticipated increases in wireless data capacity. 2. Relevant background including literature search examples if appropriate CISCO Systems’ annual survey indicates continued strong growth in demand for wireless data capacity. Meanwhile, undergraduate electrical and computer engineering courses in communication systems, electromagnetics, and networks tend to emphasize mathematical and theoretical fundamentals and higher-layer protocols, with less focus on fundamental concepts that are more specific to radio frequency wireless systems, including the physical and media access control layers of wireless communication systems and networks. An efficient way is needed to introduce basic RF system and spectrum concepts to undergraduate engineering students in courses such as those mentioned above who are unable to, or had not planned to take a full course in radio frequency / microwave engineering or wireless systems and networks. We have developed a series of interactive online modules that introduce concepts fundamental to wireless communications, the radio frequency spectrum, and spectrum sharing, and seek to present these concepts in context. The modules include interactive, JavaScript-based simulation exercises intended to reinforce the concepts that are presented in the modules through narrated slide presentations, text, and external links. Additional modules in development will introduce advanced undergraduate and graduate students and STEM professionals to configuration and programming of adaptive frequency-agile radios and spectrum management systems that can operate efficiently in congested radio frequency environments. Simulation exercises developed for the advanced modules allow both manual and automatic control of simulated radio links in timed, game-like simulations, and some exercises will enable students to select from among multiple pre-coded controller strategies and optionally edit the code before running the timed simulation. Additionally, we have developed infrastructure for running remote laboratory experiments that can also be embedded within the online modules, including a web-based user interface, an experiment management framework, and software defined radio (SDR) application software that runs in a wireless testbed initially developed for research. Although these experiments rely on limited hardware resources and introduce additional logistical considerations, they provide additional realism that may further challenge and motivate students. 3. Description of any assessment methods used to evaluate the effectiveness of the contribution, Each set of modules is preceded and followed by a survey. Each individual module is preceded by a quiz and followed by another quiz, with pre- and post-quiz questions drawn from the same pool. The pre-surveys allow students to opt in or out of having their survey and quiz results used anonymously in research. 4. Statement of results. The initial modules have been and are being used by three groups of students: (1) students in an undergraduate Introduction to Communication Systems course; (2) an interdisciplinary group of engineering students, including computer science students, who are participating in related undergraduate research project; and (3) students in a graduate-level communications course that includes both electrical and computer engineers. Analysis of results from the first group of students showed statistically significant increases from pre-quiz to post-quiz for each of four modules on fundamental wireless communication concepts. Results for the other students have not yet been analyzed, but also appear to show substantial pre-quiz to post-quiz increases in mean scores.« less
2. Fundamental Defensive Programming Practicec with Secure Coding Modules

   Yang, Jeong ; Lodgher, Akhtar ( January 2019 , International Conference on Security and Management)

   While many vulnerabilities are often related to computing and network systems, there has been a growing number of vulnerabilities and attacks in software systems. They are generally caused by careless software design and implementations, and not putting sufficient effort into eliminating defects and flaws in the software itself. When it comes to building reliable and secure software, it is critical that security must be considered throughout the software development process. This paper presents a series of modules that are designed to introduce security concepts in beginners programming courses. The modules have been developed to teach the fundamental concepts of defensivemore »programming from the freshman year, to ensure that the programming concepts are taught to beginning programmers from a security perspective. These modules are intended to build a strong cybersecurity foundation, which will then be enhanced further in the advanced courses, such as Secure Applications Programming and Secure Software Engineering courses. Both instructors and students can practice defensive programming with these modules in their classroom. The study plans to evaluate the teaching effectiveness of the modules associated with the Model-Eliciting Activity (MEA), an evidence-based teaching and learning methodology.« less
3. Engaging Civil Engineering Students through a “Capstone-like” Experience in their Sophomore Year

   https://doi.org/10.18260/1-2--34539  

   Sarasua, Wayne ; Kaye, Nigel ; Ogle, Jennifer ; Benaissa, Mehdi ; Benson, Lisa ; Putman, Bradley ; Pfirman, Aubrie ( June 2020 , 2020 ASEE Virtual Annual Conference)

   Many university engineering programs require their students to complete a senior capstone experience to equip them with the knowledge and skills they need to succeed after graduation. Such capstone experiences typically integrate knowledge and skills learned cumulatively in the degree program, often engaging students in projects outside of the classroom. As part of an initiative to completely transform the civil engineering undergraduate program at Clemson University, a capstone-like course sequence is being incorporated into the curriculum during the sophomore year. Funded by a grant from the National Science Foundation’s Revolutionizing Engineering Departments (RED) program, this departmental transformation (referred to asmore »the Arch initiative) is aiming to develop a culture of adaptation and a curriculum support for inclusive excellence and innovation to address the complex challenges faced by our society. Just as springers serve as the foundation stones of an arch, the new courses are called “Springers” because they serve as the foundations of the transformed curriculum. The goal of the Springer course sequence is to expose students to the “big picture” of civil engineering while developing student skills in professionalism, communication, and teamwork through real-world projects and hands-on activities. The expectation is that the Springer course sequence will allow faculty to better engage students at the beginning of their studies and help them understand how future courses contribute to the overall learning outcomes of a degree in civil engineering. The Springer course sequence is team-taught by faculty from both civil engineering and communication, and exposes students to all of the civil engineering subdisciplines. Through a project-based learning approach, Springer courses mimic capstone in that students work on a practical application of civil engineering concepts throughout the semester in a way that challenges students to incorporate tools that they will build on and use during their junior and senior years. In the 2019 spring semester, a pilot of the first of the Springer courses (Springer 1; n=11) introduced students to three civil engineering subdisciplines: construction management, hydrology, and transportation. The remaining subdisciplines will be covered in a follow-on Springer 2 pilot.. The project for Springer 1 involved designing a small parking lot for a church located adjacent to campus. Following initial instruction in civil engineering topics related to the project, students worked in teams to develop conceptual project designs. A design charrette allowed students to interact with different stakeholders to assess their conceptual designs and incorporate stakeholder input into their final designs. The purpose of this paper is to describe all aspects of the Springer 1 course, including course content, teaching methods, faculty resources, and the design and results of a Student Assessment of Learning Gains (SALG) survey to assess students’ learning outcomes. An overview of the Springer 2 course is also provided. The feedback from the SALG indicated positive attitudes towards course activities and content, and that students found interaction with project stakeholders during the design charrette especially beneficial. Challenges for full scale implementation of the Springer course sequence as a requirement in the transformed curriculum are also discussed.« less
4. Toward Benchmarking Student Progress in Mechanics: Assessing Learning Cycles through Mastery Learning and Concept Questions

   Papadopoulos, C. ; Santiago-Román, A. I. ; Hillman, E. F. ; Figueroa, G. L. ; Vega Morales, I. ( July 2021 , ASEE Virtual Annual Conference)

   In mechanics, the standard 3-credit, 45-hour course is sufficient to deliver standard lectures with prepared examples and questions. Moreover, it is not only feasible, but preferable, to employ any of a variety of active learning and teaching techniques. Nevertheless, even when active learning is strategically used, students and instructors alike experience pressure to accomplish their respective learning and teaching goals under the constraints of the academic calendar, raising questions as to whether the allocated time is sufficient to enable authentic learning. One way to assess learning progress is to examine the learning cycles through which students attempt, re-think, and re-attemptmore »their work. This article provides data to benchmark the time required to learn key Statics concepts based on results of instruction of approximately 50 students in a Statics class at a public research university during the Fall 2020 semester. Two parallel techniques are employed to foster and understand student learning cycles. • Through a Mastery Based Learning model, 15 weekly pass/fail “Mastery Tests” are given. Students who do not pass may re-test with a different but similar test on the same topic each week until the semester’s conclusion. The tests are highly structured in that they are well posed and highly focused. For example, some tests focus only on drawing Free Body Diagrams, with no equations or calculations. Other tests focus on writing equilibrium equations from a given Free Body Diagram. Passing the first six tests is required to earn the grade of D; passing the next three for C; the next three for B; and the final three for A. Evaluations include coding of student responses to infer student reasoning. Learning cycles occur as students repeat the same topics, and their progress is assessed by passing rates and by comparing evolving responses to the same test topics. • Concept Questions that elicit qualitative responses and written explanations are deployed at least weekly. The learning cycle here consists of students answering a question, seeing the overall class results (but without the correct answer), having a chance to explore the question with other students and the instructor, and finally an opportunity to re-answer the same question, perhaps a few minutes or up to a couple days later. Sometimes, that same question is given a third time to encourage further effort or progress. To date, results from both cycles appear to agree on one important conclusion: the rate of demonstrated learning is quite low. For example, each Mastery Test has a passing rate of 20%-30%, including for students with several repeats. With the Concept Questions, typically no more than half of the students who answered incorrectly change to the correct answer by the time of the final poll. The final article will provide quantitative and qualitative results from each type of cycle, including tracking coded responses on Mastery Tests, written responses on Concept Questions, and cross-comparisons thereof. Additional results will be presented from student surveys. Since the Mastery Tests and Concept Questions follow typical Statics topics, this work has potential to lead to a standardized set of benchmarks and standards for measuring student learning – and its rate – in Statics.« less
5. Understanding Data Science Instruction in Multiple STEM Disciplines

   Snyder, C. ; Asamen, D. M. ; Naseri, M. Y. ; Aryal, N. ; Biswas, G. ; Dubey, A. ; Henrick, E. ; Hotchkiss, E. R. ; Jha, M. K. ; Jiang, S. X. ; et al ( July 2021 , 2021 ASEE Virtual Annual Conference)

   As technology advances, data driven work is becoming increasingly important across all disciplines. Data science is an emerging field that encompasses a large array of topics including data collection, data preprocessing, data visualization, and data analysis using statistical and machine learning methods. As undergraduates enter the workforce in the future, they will need to “benefit from a fundamental awareness of and competence in data science”[9]. This project has formed a research practice partnership that brings together STEM+C instructors and researchers from three universities and an education research and consulting group. We aim to use high frequency monitoring data collected frommore »real-world systems to develop and implement an interdisciplinary approach to enable undergraduate students to develop an understanding of data science concepts through individual STEM disciplines that include engineering, computer science, environmental science, and biology. In this paper, we perform an initial exploratory analysis on how data science topics are introduced into the different courses, with the ultimate goal of understanding how instructional modules and accompanying assessments can be developed for multidisciplinary use. We analyze information collected from instructor interviews and surveys, student surveys, and assessments from five undergraduate courses (243 students) at the three universities to understand aspects of data science curricula that are common across disciplines. Using a qualitative approach, we find commonalities in data science instruction and assessment components across the disciplines. This includes topical content, data sources, pedagogical approaches, and assessment design. Preliminary analyses of instructor interviews also suggest factors that affect the content taught and the assessment material across the five courses. These factors include class size, students’ year of study, students’ reasons for taking class, and students’ background expertise and knowledge. These findings indicate the challenges in developing data modules for multidisciplinary use. We hope that the analysis and reflections on our initial offerings has improved our understanding of these challenges, and how we may address them when designing future data science teaching modules. These are the first steps in a design-based approach to developing data science modules that may be offered across multiple courses.« less