), and individualuniversity professors [4, 14]. At present, the paradigm of primarily using ethical theories andcodes of ethics has been challenged (e.g. [15]) and seems to be in decline [16, 17], and ethicspedagogies additionally include the development of case studies, codes of ethics, or decision-making processes by students, community-based engagement and learning, peer mentoring,critiquing ethical theories, and gamification of ethics education [18]. Specific strategies forpositioning course activities and modules further include stakeholders and the perspective-taking, communication, and engagement process surrounding different participant roles [19, 20,1 ABET requires continuous improvement of engineering programs and in the long run
Paper ID #41559Preparing Students to Thrive in Industry: The Critical Role of a LearningCoachDr. Darcie Christensen, Minnesota State University, Mankato Dr. Darcie Christensen is a probationary Assistant Professor in the Department of Integrated Engineering at Minnesota State University Mankato. She teaches for Bell Engineering, which is a subset of Iron Range Engineering on the Mesabi Range College Campus. Dr. Christensen received her Ph.D. in Engineering Education from Utah State University in the Summer of 2021. The title of her Dissertation is ”A Mixed-Method Approach to Explore Student Needs for Peer Mentoring in a
which we have created that are inalignment with ABET standards.Table 3. Course Learning Outcomes. Learning Outcomes Specific Goals 1. Demonstrate Independently use PyTorch to implement and analyze various Proficiency in PyTorch deep learning models. 2. Apply Deep Learning Apply deep learning techniques to solve engineering problems; to Engineering Problems demonstrate the ability to choose appropriate models for specific tasks. 3. Evaluate Model Evaluate the performance of deep learning models using relevant Performance metrics and make informed decisions based on the results. 4. Collaborate Collaborate with peers on coding projects
, yielding findings that suggest thatwomen and non-white students who received the letter-grade C in an introductory STEM courseare less likely to complete a STEM degree than white male counterparts. Despite Black andHispanic students declaring STEM majors at the same rate as their white peers, they are pushedout of STEM at disproportionate rates regardless of academic preparation, intellectual ability, ortheir affinity for STEM [8], [17],[18]. Additionally, they are often depicted as being without ormore so, at a deficit to be academically successful in STEM.Meritocratic ideologies or the belief that individuals are successful because of their own merit asopposed to historical, social and institutional barriers in place underscore STEM culture for
140 paired with PHYS 211, andPHYS 212 paired with EE210. This approach is designed to foster a sense of community amongstudents and provide them with a more meaningful education, where abstract mathematicalconcepts gain practical significance in physics, and challenging physics concepts are elucidatedthrough applications in engineering. Moreover, students enrolled in this program receive supportthrough peer tutors, dedicated academic advisers and faculty mentors, and tailored mentorshipfrom alumni engineers possessing industry experience. These additional resources aim to furtherbolster the academic and career success of the students involved.The program aims to offer valuable insights to faculty and institutions currently engaged in
], but less is known regarding howengineering students develop these recognition beliefs. Existing identity work has illustrated that students perceive recognition differentlydepending on who the recognition is coming from [10], [13], [14]. The difference betweensources of recognition is most often explored in terms of the prevalence of recognition fromdifferent groups including peers, family, and faculty. Engineering faculty have been identified ashigh impact sources of recognition, but this has been mostly explored with respect to thefrequency of interaction with engineering students in an educational context [13], [15], [16].While recognition from engineering faculty has been considered supportive of students’ overallrecognition beliefs
image processing that find markers in acomplex background or control a background to find an object in an image.An example of the first type of task—find markers in a complex background—is used in aproject where students create a semi-automated toy for a hypothetical child with a disability.The toy launches a ping pong ball at a target. The distance and angle to the target is found usingmachine vision, and then the launcher is turned and raised or lowered to reach the target. Todetermine the distance, fiducials are placed on the target and the students must write code to takean image of the target in a complex background and find the pixels in the image that correspondto the fiducials. The size and or distance in pixels between fiducials can be
ofthematic analysis. The first round consisted of reading each of the three educator's reflectiondocuments week by week in chronological order beginning with week 1 and ending with week10. The reflections were read in order of Gabby, Paige, and Fiona. While reading through thecontent, Gabby wrote pen/paper notes of things that stood out and then prepared memos. Thisinitial round of coding led to the initial three themes -- existing material, the work of a secondsection, and acting on core values.The second round of coding consisted of writing out the initial themes on paper to referencethem while reading through the reflections again. While reading the reflections, Gabby wascoding for the themes. This time, Gabby read all of one educator's entire
courses is uniquely important. It is also uniquely difficult to do. Leydens and Lucena acknowledge that some of their engineering for social justice (E4SJ)criteria are easier to implement in design than ES courses, but they also write, “Whereaslistening contextually is greatly facilitated by design projects that feature a client…, suchlistening is more abstract in the absence of clients… However, students can identify the kind oflistening they would do with hypothetical clients” [13]. This quote suggests both that it isdifficult to integrate an equity focus into science courses, but also that similar approaches can beused in ES and design courses, though the connections to real-world impacts might be moreabstract or hypothetical in the
and becomes a larger percentage of the class.We have several activities that help students to develop their engineering identity and exposethem to real world examples of engineering in our lives. Students write a “microstory” tointroduce themselves by describing an event or experience with engineering that led them to takethis class. Student also conduct an interview with a non-engineer to discuss the impact ofengineering on their work.For another activity, students give a short presentation on an “innovation in engineering”. Thegoal is for students to explore the engineering considerations behind recent innovative products.These are fun and interesting two-minute presentations in which a student describes a recentengineering innovation. They
course has an introductory Physics class in Mechanics and a Writing course asprerequisites. Participants consist of students enrolled in the course (1,2). Enrolled students aretypically in their first or second year and often select this class to explore engineering as theirmajor. Students learn engineering design and manufacturing techniques, utilizing their learningto solve ill-defined problems on teams. Projects require both conceptual design and tangible,mechanical solutions for an external client. In addition to engineering design, students learnteamwork through activities centered in giving and receiving feedback, resolving conflict, andleadership. Teams create contracts, meeting agendas, and project management documents as theywork
sentiment analysis Its value comes fromanalyzing large amounts of text data [2]. For example, its applications have been used to analyzesocial media posts to track public opinion and identify trends (e.g., O’Connor [8]). In the field ofeducation, it has been applied to the analysis of student essays to provide feedback, teamworkreview analysis, and students’ feedback loop [1], [3], [9]. Another application is in the generationof natural language text (e.g., machine translation systems use NLP to translate text from onelanguage to another) [10]. In addition, it has been used to generate feedback on student writing [11] and to createpersonalized study materials [12]. It also can facilitate more personalized and effectiveinstruction [13]. By
faculty to develop linked engineering and writing classes; they emphasizedanalyzing data and tailoring communications to a particular audience [12]. Another schoolintegrated chemistry, mathematics, engineering, and physics [13]. They maintained a cohort ofstudents throughout all four courses, students worked in the same teams of four in all of theirclasses, they quickly became friends and formed study groups, and retention was improvedcompared to traditional (non-cohort, randomized) students.Several engineering programs have incorporated service learning into their courses, to emphasizethat the engineer’s role in society is to solve problems in the service of humanity [14, 15]. Somecolleges have partnered with local non-profit organizations [16
?” It was a multiple-answer question.Answers are categorized into six areas that reflect how AI tools are used in an academic setting.Students were asked to choose which of these options applied to them. Responses areas areillustrated in Figure 4.Figure 4. Representation of how students utilize AI.The data highlights the varying degrees to which AI tools are utilized across differenteducational aspects. The most common use is for understanding complex concepts, chosen by 14students, followed by 13 students using AI for research and information gathering. This suggestsa trend towards utilizing AI as a learning and discovery tool, like a search engine. While severalstudents also reported using AI to enhance writing quality and generate project
: "Collaborative group discussion," item 12: "Present my work to everyone duringclass," and item 14: "Discuss my work with my teacher during class." These items indicate anincrease in the frequency of engagement in collaborative activities, such as group discussions andpresenting work to peers and teachers. This positive change suggests that students mayparticipate more actively in classroom interactions, share their ideas, and work with others.On the other hand, the rest of the items had a negative change. That is, they decreased in theirresponses about the frequency of the item. The items included item 10: "Interact with my teacherin synchronous sessions," item 11: "Interact with my classmates in each group activity," item 13:"Discuss my work with
name afew.By their very nature, fundamental engineering courses do not easily lend themselves to anintegrated design or open-ended element that meaningfully enhances student learning. This isespecially true in the case of Statics, where the primary learning objectives of drawing correctfree-body diagrams and applying them to equilibrium equations to solve for unknowns are usuallyassessed through well-posed problems with unique solutions. An in-depth review of papers inASEE’s PEER repository reveals that the most common open-ended project utilized byinstructors in their Statics courses involves designing, analyzing, constructing, and testing scaledmodel truss bridges using elements made from spaghetti 5 , wooden popsicle sticks 6 , straws 7
) Adding to the summary table (see example Summary Table below in Part B): - Direct students to appropriate column and activity. - Students will come to consensus on how the task demonstrates the phenomenon. - Students will come to consensus on why this task is important for understanding the phenomenon. Task #3: Agenda: Justice and Writing - Reintroduce students to initial hypothesis Wrap-Up - Justice 12: show students below picture and answer
foundations of equilibrium that will be applied in manylater courses. At a large R1 university in the southeast students take the course in a flipped,mastery-based classroom environment. The mastery-based approach is employed for theassessments where students are evaluated for how they demonstrated the course mastery objectiveson each assessment in the course. The students solve a single assessment problem every other weekwhere they are asked to organize their solution following the mastery objectives. The masteryobjectives are the key pieces of the solution solving process for every statics problem. The studentsare required to write, draw, or include equation(s) for each objective for each problem, but thework is unique to the type of problem being
Paper ID #41712The Justification Effect on Two-Tier Multiple-Choice ExamsDr. Pablo Frank Bolton, Smith College I am a Lecturer in the Computer Science department at Smith College. I received my PhD. from the George Washington University under the direction of Professor Rahul Simha. I currently teach a variety of undergraduate courses and have taught graduate courses in the past. My research is currently focused on STEM, especially on the areas of identifying misconceptions, creating scalable and informative assessments, and in the use of active learning techniques such as learning-by-teaching, and peer learning
ownership. Her learners then analyzedtheir results and completed a written analysis report over their findings utilizing what theylearned in their English Language Arts class regarding technical writing. The results of theircross-curricular learning were then presented to their peers. At a Junior High School STEMcampus, letting learners experience a real-world problem and using industry equipment toinvestigate and analyze results is extremely important. This project allowed her students to testout several types of insulation available and see that the R-values did not impact the overallenergy usage enough to push for the higher R-value product. This went against what theyhypothesized and expected from their research on insulation. Without the NSF
possible. The revised course includes: (1) a weekly sociotechnical lab withsmall-group activities and discussions on curriculum-aligned real-world justice topics, (2)weekly post-lab readings and written reflections, (3) week-long projects where codingassignments are embedded in a justice topic, and (4) a final project that explicitly considerssocial impacts of numerical analysis or design. Each course section is supported byundergraduate equity learning assistants who help facilitate the sociotechnical labs and act asapproachable peer mentors who can push students to think differently. Every assignment,including these written reflections, is graded and contributes to students’ overall courseassessment.While there were several artifacts, topics
mature and regular study habits. As different as this format was from literally all of my other classes, it fit very well how I could schedule my time. Overall, it was a huge adjustment, but it's an adjustment I am glad I was able to make. As far as work periods, I enjoyed coming to them. It was a place I could not only work with [Instructor], but also with peers, because sometimes all you need is an extra pair of eyes. • The flexibility has been great, as the pre-recorded lectures essentially allowed for 5 office hours periods per week. Sometimes I have been ahead on lectures, and other times behind. My favorite feature is being able to rewind and pause videos if I ran out of time to write something
institutions towards the adoption of computer-based exams [1, 2, 5, 6]. Studies like those by Lappalainen et al. [1], who found improvedoutcomes by beginning with paper-based exams and continue with computer-based exams, andGrissom et al. [4], who reported higher success in writing recursive solutions through computer-based exams, underscore this trend. Deloatch et al. [15] further highlighted a preference forcomputer-based exams, citing perceived improvements in quality, speed, and anxiety reduction.Computer-based exams present both opportunities and challenges, particularly in terms oftechnical stability and academic integrity.. For example, Rajala et al. [2] developed anexamination platform for Java programming, integrating multiple-choice
. At the time of this writing, they all work in a large, Southeastern research-intensive R1higher education institution in the United States. Some of the authors do not self-identify asLatiné/x but rather by their home country (Villanueva et al., 2022). All authors have differinglevels of educational experiences, both in their home country and in the United States. All havecommonly migrated to the United States as part of their professional growth. Each of themconsiders themselves to be insiders of their Latin heritage and culture but outsiders to theexperiences the other authors have faced. All recognize that their identities are non-Monolithic
process, for example, by orienting them to the expectations of an engineering ethicsconference or journal.Our Present WorkAt the time of writing, we have only begun Step 1 of the ABCD approach. When surveyingfaculty assets, we consider faculty in our university instead of limiting them to the College ofEngineering because some engineering programs are offered in other colleges. We also recognizethat other colleges have faculty who carry out research or have experience relevant toengineering ethics from the perspectives of history, sociology, political science, law, data andinformation sciences, business, etc. In the long run, it would be desirable to recognize theirexpertise when mapping faculty assets in engineering ethics.Because our faculty
, Waves, andElectromagnetism. As a requirement, all projects must include mathematical modeling andanalysis of experimental data.Methodology:Table 1 [23], [24] presents the evidence that the proposed approach intends to collect inrelation to the competences to be developed by the students.Table 1 – Competences and evidences Competences Evidences Develop knowledge The students will collaborate with their peers and teachers to conduct a survey and define the theme of their project. Synthesize The project must be written in scientific language. knowledge Communicating Additionally, the students are required
, IT Essential II) MCSA and MCSE certifications, making him officially Microsoft certified. Engaging Online Learners Grant Writing with Farmingdale Qualtrics CircleIn Application and Software Professor Eltaeib has been invited as a Judge for Poster Presentations and is part of the IESC 2021 Organizing Committee: International Energy & Sustainability Conference 2021 (IESC 2021). This honor is a feather in his cap, acknowledging his skill and mastery of the subject and provides exposure to the broader academic community, not only for himself but also his department and school. He enhanced his career whilst studying by working in the private sector as a software developer in several companies and the Enterprise
of the subject. They also found that the coursehad a broad application to their remaining core courses in chemical engineering.In addition to being more relevant to students’ goals and interests, tailored courses offered by thehome department provide opportunities for students to develop connections with peers andprofessors in their major and to create a sense of belonging to the program [15].In the biological engineering program at North Carolina State University, BAE 200 – ComputerMethods in Biological Engineering is a 2-credit hour course taken by 2nd year undergraduatestudents in the Biological Engineering Program. The course was created to replace theintroductory computer programming course that students used to take in the computer
students visualize code more effectively compared to their 2Dcounterparts (e.g. Scratch) [13], [14]. Not only was the visualization of components effective, butstudents reported higher levels of active listening, active learning, and peer collaboration whenusing LEGO® robotics.Using a LEGO® SPIKE™ robot and block-based coding, teachers can overcome challenges theyface such as motivating students by giving them a physical tool that represents visual codingpractices [13], [14]. This physical and visual tool can also assist in structuring game-basedproblem-solving challenges while minimizing syntax and code structure difficulties [15]. Using aproper game-based approach to teaching computer science using a LEGO® SPIKE™ robot, willsupport high school
a coursewhich was themed around a three-part core of logic, area under a curve, and limits whileintegrating algebra and trigonometry review. Emphasis is placed on exploration, rigorousderivations, and proofs to develop mathematical thinking.In fall 2022 the pilot was administered to six sections of Precalculus. The progress of thestudents from each section was tracked through the 2022-2023 academic year. Data from examsin their subsequent calculus courses was collected and compared to their peers from non-pilotsections of Precalculus to determine if there were statistically significant differences inperformance. This paper will outline and detail the curriculum. Statistical results from apreliminary study of effectiveness will be presented