, surfaces, and solids.The transformation matrix [T] can be represented as: t 11 t 12 t 13 t 14 t 24 T1 T2 [T] = t 21 t 22 t 23 = t 31 t 32 t 33 t 34 T3 1 t t 44 41 t 42 t 43The 3x3 submatrix [T1] is used for scaling, reflection, or rotation; the 3x1 column vector [T2]generates translation; the 1x3 row vector [T3] produces perspective projection. Figure 11 showsa wedge reflected about xz-plane with the following transformation matrix: − 1 0 0 0
were able to reflect upontheir experiences did opinions on MATLAB change. If a software program is to be added orchanged within a course, instructors must be given the opportunity to learn the software beforeteaching it.The same lesson was reflected in instructor MATLAB text6 reviews. Most course instructorswere staying one step ahead of their students on text assignments. As a result, instructors wereeasily blindsided by student questions. This manifested an initial feeling of text inadequacy.Instructors stated; “The book was not clear enough”, “The book could have done a better job”,and “We need a better book next time”. These statements illustrate instructor turmoil as theystruggled to teach a software package without being properly
below.EquipmentThis experiment uses an acoustic impedance tube (P. A. Hilton, B-400)4 for the determination ofthe sound absorption properties of different materials. The apparatus consists of a transparentplastic tube fitted at one end with a twin loudspeaker enclosure, and at the other with a heavysample holder on which the sample material is mounted. A small microphone may be movedaxially along the length of the tube and its position measured.The loud speakers are fed with a variable common pure tone (single frequency) from a functiongenerator and the sound waves produced pass along the tube sample. According to the type ofmaterial and frequency, part of the sound energy is absorbed, and the remainder reflected backalong the tube. The latter is detected by
(Eisen; Eisen; Eisen). Figure 1 summarizes the results of the earlier surveys (note 1985 comments on emerging technologies and does not provide data of the type in 1980 and 1989). Figure 1: Historical data (% of responding schools) While comparison of the data in Figure 1 with the data that follow suggests that electives are much more diverse now than in the past, but it may also reflect the greater variety of questions and analysis that can be done with an online multiple choice survey
industrial engineer in the aeronautical industry. Ann is a licensed professional engineer. Page 24.1134.1 c American Society for Engineering Education, 2014 Students' selection of topics for a professional development courseIntroductionTo be successful in their careers, engineers need to be proficient in both technical andnontechnical skills. ABET's student outcomes reflect both of these categories. Five of theeleven a-k student outcomes1 can be considered predominantly technical: (a) an ability toapply knowledge of mathematics, science, and engineering; (b
the figure below2: Page 23.1275.4 Figure 3: Single-Board Reconfigurable IO Components.The ultrasonic sensor integrated with the Robotic Starter Kit acquires data about obstacles bytransmitting a short pulse of ultrasonic energy (typically for 200µs with 40kHz)1. The sensorthen stops transmitting energy and waits for a reflected signal from the obstacle in front of it.Once the sensor receives the transmitted signal it provides an output pulse to the real-timeprocessor. Below the ultrasonic sensor with transmitted and reflected energy is shown: Figure 4: Ping ))) Ultrasonic Sensor.Based on the
American companies expand their footprintbeyond borders. In many cases, it presents an opportunity to understand worldwideenvironmental issues from different perspectives. When journaling and reflection is added to thestudy aborad program, students perform best in a new and rigorous learning setting whenadjustment to new learning styles is included as stated learning objectives, when guidingquestions are used to help students navigate from core knowledge into reflection, when a scoringrubric is applied that provided flexible space for students to explore new concepts, and whenstudents are required to acknowledge understanding of the rubric prior to the start of the course[9]. © American Society for Engineering Education
in the framework of social cognitive theory.Broadly speaking, social cognitive theory emphasizes interpersonal interactions as a determiningfactor for student behavior. Prior work has shown that peer feedback can be more impactful, andmore relevant, than traditional instructor feedback while also developing students’ metacognitivethinking [1, 7, 10].Students used instructor feedback to self-evaluate their overall course performance in acollaborative assessment. The instructor did not assign A-F scale letter grades through narrativeevaluations of each assessment submission, but students referenced the qualitative feedback inthese narrative evaluations in a reflective and self-evaluative letter in which they proposed andjustified a final
. 2.2). We also established a series of small, weekly peermentoring groups that we refer to as brain trusts, intended to help faculty support each other’sexploration of new research areas (Sec. 2.3). Both of these activities were intended to build a com-munity of practice [7] among us during this time of joint exploration and/or transition, helping usestablish common goals, concepts, practices, and paradigms within our group, despite differencesin factors such as discipline, rank, and length of service at Olin College.Though relatively early in our efforts to support exploration and transition in new research areas,our group sought to reflect on our experiences and the lessons that we have learned. Thus in thispaper, we analyze discussions
of the capstone experiencessuch as project selection, design processes, team collaboration, and relationships with sponsors.Semi-structured interviews allowed us to broadly approach various topics of interest while givingparticipants the ability to orient the conversation toward what reflected their experiences incapstone the most.Analysis:In this CGT study, our data analysis began with transcription of and familiarization withinterview content. This process ensured our familiarity with the data and informed improvementsto interview protocols for subsequent rounds of data collection.Coding, a key step in data analysis, involved assigning labels to segments of data to summarizeand categorize their meaning. We focused our initial coding on
in comparisonto traditional lecture?To address this gap, the teaching team implemented a module using 20 borrowed Quest 1 VRheadsets. During the module, students explored and reflected upon the challenges of VRadoption in education. After students completed an initial onboarding, each week focused on adifferent learning topic. In Week 1, students explored the Iceberg Model, followed by Creativityand Innovation in Immersive Technology in Week 2. In Week 3, the module concluded withGamification for Increased Quality and Productivity. After the three weeks of topics (exploredvia VR and lecture), the final week was a project week. Students received traditional PowerPointlectures and immersive VR experiences for each topic, enabling them to
that reflects a merely acceptable level of creativity.mastery. 5 - Outstanding: Shows evidence of progress inachieving outcomes that reflects superior mastery. Since the theoretical foundation of the KEEN e-module was not sufficient for this project, we added the golden section The assessment of each student’s level of attainment of the design concept and explained it to students separately. Wemodule outcomes was evaluated by a graduate teaching also added the
addition of Python into Excel competes well with Google faculty computers and not student computers in our communityColab and would alleviate the pedagogical challenges in the college setting. The Python applications available on Googleinclusion of first-year experience deployment. A set of reflection Colab and Try-Jupyter.org have been very useful.questions were used for assessment, and with AI assisted writing,the assessment results supported the efficacy of the deployment II. IMPLEMENTATION Ias a second-year experience. Future AI-based examples on theconvolutional neural network (CNN) for synchrotron radiation The AI-based
S ID E R A T IO N S Design considerations focused primarily on mechanicaldesign and control design to confirm desired speed andusability were met. Figure 2: CAD drawings of chassis and platformMechanical Design• E10 Drift Remote Control Car • Infrared Reflective Phototransistors o Carefully considering four high powered electric o Mounted to the bumper of the E10, we attached a remote control cars, we developed a weighted Pugh plexiglass sensor bar featuring infrared reflective diagram to determine the proper car to satisfy our phototransistors. The phototransistors
format on material that was easily brokenClassroom Patterns of Collaboration 3down into topics, in this case, cognitive biases. Students prepared by reading about their choiceof cognitive biases and reflecting on quotes from different perspectives about autonomousweapons. On the white board I drew a grid with classroom tables clustered into pods as locationsand two time slots of about 15 minutes. In my case, all of the groups met in the same classroom,however when more spaces are available, it helps people hear their own group better to be inseparate spaces. With one student, I walked him through announcing his topic and writing it onthe grid. Then, with patience and giving
material with real-world contexts[7], [8], [9]. Some introductory scavenger hunts involve activities such as searching websites,unscrambling clues, answering questions, and reflecting on experiences. For facilitation, someuse apps and software [10], [5], while others rely on handwritten or printed materials [3], [8].When completed in groups, these activities additionally often foster teamwork.This scavenger hunt stands out from existing approaches due to its photo-based format. Duringthe activity, participants work in groups to complete specific tasks by taking creative photos oftheir team. Beyond simply photographing a location, students must capture images of their groupin creative ways, fostering greater engagement and making the exploration
formal programmingrequirements.To determine the effects of similar social and cultural perspectives of mentor and menteerelationships on the sense of belonging from their first year and beyond, about half the number ofmentees are matched with mentors with similar or different sociocultural identities. Mentees arerequired to journal their experiences and complete reflection prompts annually.Study RecruitmentAll research participant participation is First-yearvoluntary based on the University of South StudentsFlorida’s (USF) Institutional Review Board n = 24(IRB) regulations. Participants can opt out atwill without any penalty. All FTIC women in
, there are a few key conceptsthat can help to reinforce some of the other pedagogical techniques that form the basis of thescholarly literature to which the model contributes. For example, the Foundry is anchored inconstructivist, constructionist, and collaborative learning theories that emphasize student-centeredlearning strategies.8 These theories, for example, posit that students construct understandingthrough reflection and experiences, engage in deep learning through meaningful production oftangible artifacts, and expand their own reservoir of knowledge through interaction with others.These theories have helped to develop other student-centered learning strategies like project-basedlearning, active learning, and real-world immersion
policies related to monitoring processes which are self-defeating. OECDinnovation and competitiveness [1]. indicators may therefore not be the best way to reflect S&T In order to justify governmental investment in S&T, it is real conditions everywhere and under all conditions, evenespecially important for institutions spending public resources though they might be used and accepted all over the world for national and international S&T reporting. ΙΙΙ. CRITERIA AND CONSIDERATIONS Currently, there is threefold approximation of such a
explored which classes were least accurate, brainstormed why,and then added or deleted pictures from their datasets to make them more representative.In the final module, Module 5, “Conceive your own ML Model”, students were tasked withcreating their own computer vision model that could correctly classify 80% of the time. Some ofthe models students created were those that classified leaves, human emotions, and colors.Measures and data sourcesStudents’ conceptions of AI were captured using descriptive field notes the first author tookwhile she observed the lessons and through reflection questions students answered on the lastday of the module. Descriptive field notes and reflection questions were analyzed using thematicanalysis [16]. Learning about
-eligible at time of admission to the universitydue to their mid-level ACT/SAT scores, INNOV scholars lived in the honors residence hall. Thisliving among high achieving students fostered an environment of collaborative academicachievement as well as a quality social environment with access to enrichment programs. LessonLearned: Although the enrichment activities added tremendous value, it was also important tobalance group activities with opportunities for individual reflection to accommodate differentneeds and preferences within the community.Peer Mentoring: INNOV scholars are mentored by upper-level Path students during their first twoyears, then they can serve as peer mentors their junior and senior years. Lesson Learned: Peermentors needed
, Tufts University ©American Society for Engineering Education, 2025 CAREER: An Integrated Framework for Examining Contextual Influences on Faculty Pedagogical Decision Making and Student Learning in Design EducationIntroductionRecently, the ways that emerging technologies, such as generative AI, social media algorithms,and predictive analytics, reflect, propagate, and exacerbate systems of inequality has made theimpact of engineering decisions on people and society an issue of national importance [1-2]. As aresult, scholars have called on engineering educators to facilitate learning experiences thatchallenge engineering as a technocentric discipline towards pedagogical practices that fosterstudents
directly to designing solutions, emphasizing the need for moreextensive investigation into the nuances of inequity. This was not a denial of inequity itself butrather a reflection of an intense focus on comprehensively mapping its complexities beforeacting. While these committees successfully drove slight but notable progress, they also revealedpersistent resistance to institutional change, highlighting the need for continued efforts to addresshesitations and build consensus around actionable solutions.Insights from the Factorial ExperimentThe factorial experiment revealed significant preferences in tenure and promotion evaluations,emphasizing the need for systemic interventions. Research excellence, scored on a 1–5 scale,reflects how a surveyed
initial portfolio will include written reflections on areas of leadership theywould like to pursue or develop throughout the fellowship. The course instructors and co-PIs willmeet monthly through the spring with the Fellows with master’s to provide opportunity forface-to-face reflection and collaboration.ConclusionThe Noyce project, “Partnering to Prepare STEM Master Teachers for Michigan's MiddleSchools” at MTU and NMU will directly address the shortage of middle school STEM teachersin Michigan by developing and retaining teacher leaders within the state. By integrating PARprojects into their classrooms, the project will have the secondary effect of inspiring the nextgeneration of STEM scholars in Michigan.Funding AcknowledgementThe work
tothese problems. Furthermore, this pedagogy is predicated on moving beyond traditional ethicstraining which often adopts some form of procedural ethics, that which refers to bad behavior inresearch or the workplace, and incorporates extrinsic ethics and intrinsic ethical thought [3]. Insummary, traditional case-based pedagogy in engineering ethics often presents students withpredefined scenarios and solutions, encouraging them to identify ethical issues but frequentlylimiting deeper exploration of how ethical and technical considerations interact. In contrast,ethical-epistemic analysis engages students in actively examining how knowledge productionand ethical concerns are intertwined, fostering a more integrated and reflective approach toproblem
the program's significant role in preparing studentsfor the demands of a data-driven, interdisciplinary workforce.Interns’ responses to surveys reveal three core areas of growth that illustrate DIFUSE’stransformative impact: development of professional and interpersonal skills, strengthening oftechnical knowledge, and achievement of personal and professional goals. These interconnectedoutcomes demonstrate how the program holistically supports interns’ professional development.Development of Professional and Interpersonal Skills: Collaborative projects help interns buildessential workplace skills such as teamwork, leadership, and communication. Student A reflects,“The program improved my teamwork skills and gave me useful insight into working
(ENG) through the Engineering Diversity Activities(EDA) program. During Year 0 and Year 1, the team planned and piloted an innovative, project-based learning program. The student feedback and short-term outcomes from the initial pilotwere positive. However, as the team reflected on what is needed to educate today’s engineeringstudents to address the engineering problems of tomorrow it became clear that there was morework to be done. The goal of the overarching project was to reimagine engineering education through ahands-on, project-based curriculum. Specifically, the team set out to design its programscentering four evidence-based practices: (1) A sense of mission explicitly centered onsustainability and equity, (2) hands-on teamwork
in surveys, interviews, classroom observations, courseconsultations, and focus groups. Results highlighted commonly used student-centered strategies,including connecting content to real-life applications, encouraging peer interaction, using visualaids, and providing timely feedback. Innovative practices such as debates, “quiet” problem-solving, and intentional errors were also observed. Course consultations led to actionablerecommendations, including diversifying teaching strategies, aligning materials withaccreditation standards, and supporting team dynamics. A summer workshop further enabledfaculty to reflect on and adopt these strategies. Future efforts will focus on scaling impactthrough cross-departmental workshops at an R1 land-grant
teachers (PETs) followed a structured process to model four phenomena: 1. Observations and Hypothesis: PETs observed a phenomenon, created drawings of their observations and initial hypotheses, reflected on questions, and developed a driving question for the unit. 2. Collaborative Sensemaking: In groups, PETs used whiteboards to represent their understanding, refine their ideas, and discuss scientific concepts
, which “affirms,rearticulates, and provides a vehicle for expressing in public a consciousness that quite oftenalready exists” [3]. The experiences that Black women have in STEM higher education aresimilar to those of Black women who enter other traditionally white spaces. With this in mind,our research questions are: 1) In what ways and to what extent is the interruption of undergraduate Black women in STEM reflective of the structural and systemic oppression of Black women in the United States? 2) How do undergraduate Black women in STEM process the phenomenon of interruption in STEM education?Data CollectionThe mixed methods approach that we use to uncover the experiences of interruption by Blackwomen in STEM is