. He earned a Ph.D. in Computer Engineering at Florida Atlantic University, in the past worked as an assistant researcher in the group of educational Technologies at Eafit University in Medellin, Colombia. His research area is the online Laboratories ©American Society for Engineering Education, 2025 Cyber-Informed Engineering Course Syllabus for Undergraduate Engineering ProgramsAbstractCybersecurity is a broad field that encompasses the development of mechanisms to prevent,detect, and recover from cyber and physical attacks. These security mechanisms should cover thesecurity of a company’s assets, the security of information (such as personally
for Learning in Biomedical Engineering CoursesIntroductionStudents are more frequently engaging with the virtual world for courses [1-3]. Studies show thatonline resources significantly and equitably improve students’ performance in courses [4,5].Additionally, online resources are comparable to traditional learning resources, such as textbooks,in terms of student course performance [6]. Additionally, artificial intelligence (AI) provides evenmore opportunities for improved learning in courses [7]. Identifying how students use onlineresources and AI is especially critical for the field of biomedical engineering (BME), whosemultidisciplinary scope may require students to use online resources not necessarily createdspecifically for BME audiences
Project 15 7 15 O 8 0 0 8 4 Total points 100 50 79 70* + 40 70 90 90 90The grading for modified mastery learning includes both Required as well as Optionalassessments. To pass the class, a student must complete ALL of the Required assessments beforethe deadlines listed on the syllabus. By providing the deadlines at the beginning of the course,the instructor allows the students maximum flexibility in self-paced learning to complete theRequired work. Also, please note that a Required assignment is included as part of every learningmodule. This is essential to ensure that every student has mastered the content in the module,regardless of
-lab/Course-Job-Fit) to facilitate further research and extension into othereducational and job domains. While in this paper our focus is on technical jobs and computingcourse syllabi from the computing department of an R1 Hispanic Serving Institution (HSI), thisapproach could be extensively applied to compare other job fields and course contents such as cat-alogs, syllabus, and lecture materials. Our findings are contextual to a single institution but providea framework for curriculum analysis that can be applied across diverse educational settings.In the remainder of this paper, Section 2 elaborates on the related work in the field and our con-tributions. Section 3 introduces the details of our data collection and pre-processing. Section
validating the effectivenessof this research-based learning approach. These results suggest that the assignment successfullyengages students in critical thinking about network security risks, reinforcing their ability toanalyze and articulate complex cybersecurity concepts.As “computer networks” is a core course in most computer engineering and computer sciencecurricula, we highly recommend incorporating such an outcome in the course to develop risk andsecurity awareness in the existing syllabus and the course material without additional lectures ortopics. Based on our experiences, a risk-aware approach ensures that enterprise networks remaina secure and scalable foundation for organizational success. The concept of thinking like anadversary can be
grading approach, citing confusionregarding multiple aspects of the course structure. To address this, we propose providing clearerinstructions on submitting retakes in the course syllabus and during the course introduction. Fur-thermore, it may be possible to introduce a low-stakes skills review quiz early in the semester,exposing them to the methodology. This quiz can serve as practice for the assessment process,allowing students to engage with the retake mechanism and grading rubric (0 or 1) in a stress-free setting. We implemented this in another course with a different cohort of students and haveobserved far less confusion over the new grading paradigm.We also propose streamlining the number of learning objectives (LOs) to encourage more
subset of motivated students. For practical purposes, it wasscheduled once a week at a time that generally does not interfere with students’ schedules, 8-8:50am. In 2024, 26 students enrolled in the gateway course.Learning objectivesThe course syllabus described several objectives. At the conclusion of the course, students wereexpected to be able to: • Articulate the values of international experiences to their peers, faculty, and potential employers, in both group and individual settings. • Make a compelling (clearly argued, articulated, inspiring, and well prepared) presentation about how their international experiences are relevant and beneficial to becoming a successful engineer. • Anticipate the cultural
within GAI usage, such asidentifying when GAI tools might produce disproportionately poor and harmful outcomes towards historicallymarginalized populations when there might be mismatches between GAI outputs and user needs, and when GAIusage might be inappropriate given specific design conditions and target populations. In particular, the course soughtstudents with little to no coding/CS experience in enacting change within GAI usage policies, countering the popularrhetoric that GAI issues are inherently technical and therefore need technical knowledge to overcome. In this paper, we present the course syllabus and findings from teaching this course across two cohorts. Weconducted semi-structured interviews with students after the
research design approach to evaluate theeffectiveness of LLMs in assessing the LOs from STEM courses using the SMART framework.Data CollectionWe collected 30 LOs from a publicly available syllabus of courses. The selection criteria for theLOs were that they belong to a STEM course, and the syllabus should have a separate section forlearning objectives. The collected learning objectives cover programming, engineering design,and database systems courses.Evaluation CriteriaWe used the SMART as the criteria to evaluate the quality of LOs, which both the LLM modeland experts used. The SMART rubric is an evaluation criterion that assesses learning objectivesbased on five key criteria. Specific: The objective should clearly describe what students can
taught and/or studied online during the transition toonline learning during the COVID-19 pandemic. This study applied both qualitative and critical research methods focusing on dialogicinquiry and praxis through a connection between action and reflection [31]. Through purposivesampling, where researches select participants to meet specific needs [12], I also sought facultymembers to cover different strata - identifying whether specific characteristics of the individualparticipants are adequately represented albeit in a smaller sample [32]. This is why the studytargeted faculty members within the Liberal Education program as it currently houses the mostdiverse courses within both Arts and Sciences. This program is also relatively new
presentation. Regardless, this structuredapproach ensured that students engaged deeply with the material, developed critical thinking skills,and connected theory with practical application in QIS.5 Course StructureThis course was taught in the Spring 2024 semester, during which students attended three lectures perweek, each of 50 minutes duration. The study participants in EEE 5934 included 10 students, 7 enrolledin the course and 3 auditing, all of whom participated in every course activity. As shown in Table1, the course syllabus outlines the structured progression of topics in six modules, ensuring alignmentwith the nine key concepts of Quantum Information Science (QIS). This design integrates foundationallearning, advanced concepts, and
NASA mission into an educational role playing game; 3. Build collaborative skills in order to work on a team with diverse expertise to create a deliverable for a client; 4. Apply Agile Development, the Scrum methods, and apps such as Slack and Trello; 5. Describe the importance of the xeno alphabet of amino acids as a frontier of science; 6. Understand the science of astrobiology.To begin this game design project, the first week of the course syllabus explored a series ofquestions, including “Why are we designing an RPG, specifically a LARPG?”; “Why is themission focused on the moon Europa?”; and “What is NASA’s current mission to Europa?”Students discussed who should join the Europa mission, and what their roles would
only had one instructor who taught bothsections that were offered.AssignmentsEach course, due to their differing purposes for their respective degree programs, had differentassignments. Course 1 had three sets of assignments: 21 in-class activities, 6 homeworkassignments, and a team project with 4 milestones that need to be submitted. The in-classactivities and home assignments could all be submitted up to three times each. Each submissionwas graded using a points-based system with extensive feedback provided by the instructor.Students then used the feedback to correct any errors and resubmit the assignment to beregraded. The instructor encouraged students to resubmit their assignments soon after receivingfeedback in the syllabus to reduce the
. Ostrowski, J. Zhang, M. Das, C. Breazeal, D. Catherine, and A. Verma, “Design justice strategies for design education: Evidence and recommendations from syllabus analysis,” in 35th International Conference on Design Theory and Methodology (DTM), Boston, MA, 2023, pp. 1–13. [Online]. Available: https://doi.org/10.1115/DETC2023- 115270[18] ABET, “Criteria for Accrediting Engineering Programs, 2024 - 2025,” ABET. Accessed: Dec. 12, 2024. [Online]. Available: https://www.abet.org/accreditation/accreditation- criteria/criteria-for-accrediting-engineering-programs-2024-2025/
REDteam to develop a course syllabus that outlined course content. The syllabus included a weeklyschedule of topics, descriptions of the project-based activities, and a description of assessmentmeasures which were reviewed, modified, and/or approved by the core EENV faculty team aminimum of three months before the course offering. Once approved, the lead faculty developedthe course in a manner and time they found mutually agreeable with assistance and input fromthe core team as needed.In summary, the core EENV faculty team established the fundamental values or pillars of theenvironmental curriculum as a whole and then developed a comprehensive learning outcomesdatabase to identify where desired skills or outcomes were included or missing in the
developthe skills and mindset needed to tackle complex, real-world challenges in biomedical design. Weaim to address the question of how the middle years of college (sophomore and junior years)serve as a bridge between foundational learning and advanced application of BME designattitudes, beliefs, mindsets, and skills.This course is designed to guide students in reflecting on their strengths, areas for growth,interests, and past experiences while creating an online resume. Through weekly 50-minutesessions, the seminar addresses ABET Student Outcomes 1–7, fostering a reflective approach tolearning in BME. However, the course’s impact has been limited by insufficient engagementwith real-world biomedical engineering challenges and the biodesign process
Engineering Mathematics CourseIntroductionTo help instructors enhance a first-year engineering math course modeled after the Wright StateUniversity approach, this paper introduces the integration of real-world scenario-based casestudies. These case studies are designed to make mathematical concepts more engaging andrelatable by placing students in authentic historical and current engineering contexts. The casestudies also provide students with an introduction to various engineering disciplines, such ascivil, biomedical, aerospace, mechanical, electrical and environmental engineering, whilefostering critical thinking and problem-solving skills.This approach dedicates one hour per week of class time to case studies, where students work insmall teams to
robotics curriculum toprepare students for the many robotics industry positions and research careers that utilize thismiddleware [5]. Learning ROS can at times be non-intuitive and overwhelming for students[1].Limited online resources exist to help students learn ROS asynchronously[6], and none havestudied how students perceived self-efficacy in tackling future robotics project challenges.Asynchronous tutorials help students learn material that would take too much time to step throughin class, enhancing the principles taught. They can help students troubleshoot specific issues theyrun into, allow students to go at their own pace, and allow flexibility in how students approachdifferent challenges. In this Introduction to Robotics course, over three
(oftenworksheets distributed and students encouraged to work with a partner or table group).The course was largely structured around the topics in the textbook by Callister and Rethwisch,Materials Science and Engineering: An Introduction [33], with one to two chapters groundingthe topics covered for the week. Students purchased the WileyPLUS 10th edition of the book,giving them access to the additional online materials (practice problems and solutions, muddiestpoint videos, etc.). Each week students were given a list of textbook problems that they wereencouraged to complete on their own; solution sets written up by the instructor and/or TeachingAssistant (TA) were provided for those problems via the Canvas course management system.Most of the weeks in the
as an engineering tool? The study adopted a survey-based approach to capture students' evolving perceptions of AI. The results offer an in-depthunderstanding of how students’ perceptions of AI in chemical engineering setting.Regarding faculty perspectives, three chemical engineering faculty from three different institutionsused AI to design the syllabus, course materials, and assessments, providing a unique opportunityto explore the effectiveness of AI in the course development process. This work aims to provide aroadmap for future AI-driven course redesigns and offer insights into how AI influences bothlearning outcomes and students’ confidence in using AI technology in professional settings.Preliminary case studies in Thermodynamics
) to provide curricular materials for others toimplement a novel, synthetic biology lab course. We provide instructor observations andinformal student feedback; thus, this work was determined to be exempt from further review byour institution’s IRB. The following link provides access to all course materials are providedincluding: syllabus, lab protocols, assigned readings, quizzes, class presentation slides, lab reporttemplate, homework, and guiding questions for each lab report: https://tinyurl.com/yx3f2czp.Course OverviewThis 10-week course provides advanced training in molecular biology, with an emphasis onengineering design in experimental practice. Typically, the course enrolls 44 students(approximately 22 students per lab session) who
Paper ID #47465BOARD # 70: Instructor Practices for Supporting Neurodivergent Studentsin Undergraduate Computer Science Courses: Neurodivergent Faculty andStudent PerspectivesMs. Valerie Elise Sullivan, University at Buffalo, The State University of New York Valerie Sullivan is a neurodivergent graduate student research assistant in the Department of Engineering Education at the University at Buffalo working with Dr. Bonnette. She was awarded the Arthur A. Schomburg Fellowship to support her education. She graduated in the Spring of 2024 with a Bachelor’s degree in Environmental Sustainability at the University at Buffalo
proficient at basic to advanced data science skills, has not made acquiringthese competencies in undergraduate programs obsolete but rather more relevant, as criticalthinking abilities developed through data science literacy education are essential for analyzingLLM outputs [2]. Moreover, when properly integrated into pedagogical practices, these LLMscan facilitate the teaching of data science literacy skills through enhanced personalized learningapproaches [3]. Data science literacy education typically follows two main approaches: standalonecourses (including general and core disciplinary courses, immersive degrees, minors, certificates,and MOOCs (massive open online course)) or integration within existing disciplinary courses.While
the expansion of public transportation and the electrification of rail systems • Assessment of Environmental Impacts: subtopics include air and water quality, ocean acidification, and coastal resilienceIn Table 1, we show courses into which we are planning to incorporate sustainability content. Allclasses shown are required courses for the civil engineering degree program at WIT. An “X”indicates that the traditional content of the course in the column header lends itself most readilyto applications related to the subtopic of sustainability in the row header. An “O” indicates thatmaterial for that course relevant to that subtopic is included in this syllabus. This chart wasinspired by the one presented for mechanical
entrepreneurial mindset. Thecourses discussed are the Advanced Manufacturing and the Additive Manufacturing andCharacterization. These courses are offered at both the undergraduate and graduate levels atRowan University (RU). Typical enrollments are between 30-40 students per course. The coursesare offered as in-person electives in the Fall semester with 2 lecture sessions per week. Thecatalogue descriptions and the syllabus of these courses are as followsCatalogue description of Advanced ManufacturingThis course will provide students with knowledge of modern manufacturing processes, how designis optimized for manufacture, and information on future directions of manufacturing, such asadditive (3D printing) manufacturing techniques and the use of digital
analysis course and develop a pool of questions on those topics. We haveidentified five major topics (or chapters), each focusing on a key area of circuit analysis. Thesechapters were carefully chosen to cover the fundamental topics of the course and are designed toalign with the typical syllabus for an introductory Circuit Analysis course. These fivetopics/chapters are: (i) Series-Parallel DC Circuits (ii) Complex DC Circuits (Nodal and Mesh Analysis) (iii) Linear Circuit Theorems (Thévenin, Norton, Superposition) (iv) First-Order Transient Circuit Analysis (v) AC (Sinusoidal) Circuit Analysis30 questions were designed and developed for each of these chapters, which are divided into threedifficulty levels: easy, medium
information. The online activity data records students’frequency of interacting with LMS and other related digital learning applications on a dailybasis.The selected class is an advanced-standing undergraduate course in psychology, designed andtaught by the same instructor during Fall 2021, 2022, and 2023. The instructor confirmed nomajor revisions were made to the course during these semesters, which provides a level ofconsistency for us to review and compare data points. Three undergraduate teaching and researchassistants coded each class as different types of activities (i.e., quiz, assignment) based on theinformation in the syllabus, LMS, and the faculty’s reflection on in-class activities (ICAs). Boththe syllabus and ICAs are provided by the
‘features’pertaining to the course being offered at OSU that are worth mentioning. For instance, the coursespans over sixteen weeks in fall and spring semesters, while the duration is reduced to eight weeksin summer. Also, the course is offered online and in-person in the summer semester, while in falland spring the course is offered only in-person. For all three semesters, the course is taught by adifferent set of instructors, with a larger number (>200) of students registered in both the fall andspring semesters and a smaller number (<100) attending in summer. Although there are differencesbetween the syllabus used in fall, spring and summer, evaluation of student performance for allthree semesters is similarly based on exams, quizzes and assignments
[11]. 7. Considering growth mindset messaging and syllabus policies. The purpose was to explore teaching practices that help motivate students and can be impactful for students in introductory and foundation courses [12]. 8. Reviewing sample syllabus language to identify opportunities support inclusive and growth mindset learning environments. The purpose was to explore syllabus content and what messages can help or hinder student motivation and mindset in introductory and foundation courses [13]. 9. Exploring considerations for the first day and week of the semester to foster student engagement. The purpose was to consider how the first day of class can help or hinder student motivation and learning
Details Adapted Dweck’s Mindset Inventory [17], growth vs. fixed mindset, faculty Mindsets mindsets Information about the institution/course, type of institution, discipline, course Institutional contexts structure, team formation, syllabus upload Influences, challenges, support, satisfaction with workload, adapted from Faculty Support Survey on Teaching, Learning and Assessment (FSTLA) [18] Frequency of teamwork practices, reflection on student performance, adapted from Teaching practices FSTLA [18], the Approaches to Classroom