tour (M = 1.04).Several students also wrote on their surveys that they wanted even more "hands on" and "real"activities. One student specifically wrote, "I want even more excitement and action." A teacherastutely observed, however, that the emphasis on sensory experience must be carefully paired withacademic learning. The motivational component was observed, but this excitement must bebalanced with the opportunity to reflect on concepts. Plans are underway to hold talking stationsfollowing each activity, where students will discuss mathematics and science activities withtrained teachers. Perhaps in line with this, several students, parents, and mentors argued that moreadvanced concepts could be handled by older students.Because of the desire
learningare grasping and transforming experience (Fig. 1). Figure 1. Experiential Learning Model (Kolb, 1984, p. 42)There are two opposite modes of grasping, directly through the senses (concrete experience) orindirectly in symbolic form (abstract conceptualization). Similarly there are two distinct ways oftransforming experience, by reflection or action. The complete process is a four-stage cycle (Fig.1) of four adaptive learning modes. The active involvement of students through all four learningmodes helps develop higher-order skills (Kolb, 1984; Wankat and Oreovicz, 1993). A detaileddescription of these learning modes (type of learners) with suggestions for writing activities, “ameans to think and learn,” is presented by
E A ER C ING EDUFigure 3 shows the arrangement of reflective optical sensors the lab. However to determine each of the parametersnear an inertia. Each inertia has 180 grooves machined into its separately would require the rig to be dismantled and re-rim. The channels were painted matt black while the assembled. It is possible to get round this problem in theremaining parts of the rim was still shiny aluminium. Each
, SaP can also support STEM students’ engagement in DEI efforts. For example, in2015, Bunnell et al. [26] developed a course titled “Being Human in STEM (HSTEM)” atAmherst College, which engages students in action research projects on topics related todiversity and inclusion in STEM. In personal reflections, HSTEM course alumni noted that theirparticipation in the course supported them in making sense of their own and other students’experiences of marginalization, combatting feelings of isolation, and feeling empowered aschange agents within the Amherst STEM community [26].3. FrameworksThe design of the JEDI was guided by notions of liberative pedagogy [27]-[28]. From a Freireanperspective, liberative education facilitates conscientização, or
Paper ID #43067Board 240: Developing Critically Conscious Aerospace Engineers throughMacroethics Curricula: Year 1Dr. Aaron W. Johnson, University of Michigan Aaron W. Johnson (he/him) is an Assistant Professor in the Aerospace Engineering Department and a Core Faculty member of the Engineering Education Research Program at the University of Michigan. His lab’s design-based research focuses on how to re-contextualize engineering science engineering courses to better reflect and prepare students for the reality of ill-defined, sociotechnical engineering practice. Their current projects include studying and designing
mathematics) knowledge and skills that educated graduates possess are vital to a significant21 part of the US workforce and contribute to the national economic competitiveness and22 innovation [1]. A study made by Livinstone and Bovil [2] found that American students23 are digital-centered, tend to learn visually and socially, and enjoy interaction and24 connectivity with others and expect to learn in the virtual context. AFL (Active Flipped25 Learning) is a customer-tailored design attempting to take students’ characteristics into26 account, reflecting the embodiment of active learning so that STEM students were27 immensely motivated to reflect, evaluate, create, and make connections between ideas28 [3][4]. The positive influence of
perspectives within theengineering profession. Participant demographics are summarized in Table 1. Thirteen (13)early-career engineers, comprising 9 males and 4 females, volunteered to participate in thisstudy. The participants were within the specified experience range of 0-10 years, with apredominant majority having between 0-5 years of professional experience. The interviewsconducted delved into their experiences, reflections, thoughts, and perceptions concerning ethics,equity, and inclusion in their professional practices as early-career engineers, providing valuableinsights into the challenges and opportunities in the engineering field. The data sources includedonline pre-interview surveys and interviews. These interviews were conducted in an
reflected on their engagement in research oracademic activities during the semester, shared plans for the upcoming semester, and reported anysupport needed from the department. Additionally, surveys assessing various factors such asparticipants’ STEM identity, sense of belonging, and intention to complete CS were administeredto gather comprehensive insights into the program’s impact.ResultsThe results indicate that the scholars benefited from continuous support and a diverse range oflearning, teaching, and research opportunities. Activities provided enhanced scholars’ overallcollege experiences, contributing to their pursuit of studying CS. In this section, we demonstratedthe program’s impact using three key criteria: retention rate, survey
duringchange processes, these differences are often implicit and unexamined. Our project willmake these differences a visible component of critical reflection and generative dialogue,in service to both educational research and practice, and aligned with capacity building forcritical awareness and action.As our project is only in its first of five years and focuses on individual capacity building anddepartment culture transformation, we currently have limited qualitative and quantitativeresults to report. Therefore, this paper focuses primarily on our project’s motivation,proposed scope of work, and early research steps. This paper also discusses our model forchange, Critical Collaborative Educational Change, which is an iterative reinforcing
in a multimediaenvironment. Considerable cognitive processing is required for a meaningful learning experiencespecifically in a multimedia environment, which can exceed the limited capacity of workingmemory [25]. Thus, multimedia design principles have been proposed for combining texts,pictures, audio and animations, as well as other guidelines such as providing opportunities forfeedback, reflection and controlling the pace of the presented material [25], [26]. Theseguidelines can help design XR environments to prevent cognitive overload for students.Experiential learning considers learning by doing. According to Kolb [27], learning involves fourstages of concrete experience, reflective thinking, abstract conceptualization and
Table 1 (the full codebook can be found in Appendix A). We also generated acount of each code based on the full data set, shown in Figure 2.Table 1: Codes for survey responses with short definitions. The definitions represent the stancetaken by the student in their response. The full codebook including further clarification on thedefinition and representative examples for each code can be found in Appendix A. Code Short Definition (tool) AI is a useful tool for students. (crutch) AI has the potential to replace learning. (tutor) AI can be used to learn a specific concept. (reflect) AI can help or hinder learning depending on who uses it and how. (speed) AI can
software usage instructions at the BearCart Github repository [1] totrain and test out AI driven autopilot models. © American Society for Engineering Education, 2024 2024 ASEE Midwest Section Conference Fig. 1 BearCart software layout 2. Ethical Reasoning and ResponsibilitiesTo develop ethical reflections regarding the responsibilities of creating and using self-drivingcars, as well as to challenge the students to generate their own informed judgements regardingthe ethical use of robotics and artificial intelligence more generally, we designed an interactiveand student-driven curriculum that began and ended with the same ethical reasoning assessmentessay prompt
techniques and statistics trended downward over the years. Researchers believethis reflects the relative use of these skills by upperclassmen.Figure 5: Importance of Technical Skills by Self-Reported YearStudents were asked to evaluate the importance of various non-technical skills via the sameLikert scale. Figure 6 shows how students evaluated these non-technical skills. The highestscoring skill was time management, followed by teamwork. It is unsurprising that timemanagement and effective teams are valued by busy engineering students who often work inteams. It is of interest that these skills scored above all other technical skills, indicating thatstudents found them of greater importance, even more than mathematical problem solving.Figure 6
, Paretti et. al (2014) challenge the1engineering education community to fill a gap in the literature by “expand[ing] our understanding ofeffective context-specific and generalizable practices that foster deep learning of both professionalcommunication and engineering concepts simultaneously” (p. 623, emphasis added). To contributeto this goal, our work focuses on sharing effective strategies for embedding communication skillswithin specific engineering disciplines. By sharing our collective reflections, our goal is to supportengineering educators in drawing connections to their own research and practice.Purpose and Research QuestionsThe purpose of this paper is to explore strategies for integrating communication skills intoengineering curricula
provides a simpleway for students to understand their coding practices: a green light indicates good codingpractices, a yellow light signals a warning for potential issues that may not cause immediateproblems but should be avoided, and a red light indicates critical mistakes that need to be fixedto ensure the code runs correctly [1].The Role of Code Critiquers in Programming Education:AcknowledgmentThis work was funded by the National Science Foundation award # XXXXXXX. Recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the NSF. Any opinions, findings, conclusions, orrecommendations expressed in this material are those of the authors and do not necessarily reflect the views of the
robot arm to pickan object based on the classification results. This exercise involves students exploring embeddedsystems, AI and computer vision, and robotic control. This lab exercise will be introduced in theupcoming offering of the ENT303 course in Fall 2022. This paper illustrates the complete labexperiment with executing guidelines and student performance evaluation metrics.ObjectivesThis paper focuses on object detection and classification using TensorFlow, Keras, and the otherknown open-source ML library framework [12]. Students can easily configure these libraries ontheir personal computers. The lab setup and lab exercise will be revised each semester based onstudents’ comments and suggestions and reflecting updates in the proposed
. How Project Helps Improve Students’ Critical Thinking SkillsPaul and Elder [1] from their institute, The Foundation for Critical Thinking, suggested thatthinking within any discipline generates purposes, raises questions, uses information, utilizesconcepts, makes inferences; makes assumptions, generates implications, and embodies a point ofview. Ennis [2] defines critical thinking as the following: “Critical thinking is reasonable,reflective thinking that is focused on deciding what to believe or do.” Scriven and Paul [3] give amore detailed definition: “Critical thinking is the intellectually disciplined process of activelyand skillfully conceptualizing, applying, analyzing, synthesizing, and/or evaluating informationgathered from, or
and simple BOE-Bot, the simple activities that thevendor provides are easily incorporated into daily lectures as in-class exercises. This approachprovides the students with demonstrations, incorporates self-implementation of the activities,reinforces concurrent and active learning and allows reflection by the students to build on thetopics of the course over a longer period of time. This approach to tinkering is a great andfundamental approach to an active, hands-on approach to learning. Older generations hadtinkered to understand theory and to provide motivation, while the current generation wantsinstant gratification and the internet.4 In order to supplement this need by current students,technology and the internet are integrated. The
games have found application in educational and professional settings withinCanada, there has been an absence of a serious game that effectively simulates the types offloods and reflects the Canadian governance framework [3]. Serious games are a recognizedmethod for exploring natural resource management and policies, because these gamesencapsulate complexity, promote collaborative and reflective learning, and provide environmentsto practice conflict resolution [4], [5]. This extended abstract is a brief summary: A detailedliterature review, game description, and further findings are provided by Bogdan et al. [3].In the FRC game, participants assume the roles of various stakeholders (such as a mayor, primeminister, hydrologist, land developer
, theUnited States passed the Innovation and Competition Act, which increased funding forSTEM education. In other words, the development of engineering education is closely relatedto national expansion, industrial structure, and global political changes, and may become akey power field and colonial tool. Although Taiwan and South Korea play important roles inthe global high-tech industry chain and geopolitics, their comprehensive thinking onengineering education is far from enough. As STS scholars and engineering educators in EastAsia, we have a moral obligation to assume these responsibilities, and to examine thehistorical facts behind the impact of technology on geopolitics and society, in order to furtheranalyze and reflect on what engineering
Curriculum Content Standard 9.1: 21st Century Life and Career Skills describes skillsthat prepare students to engage fully in civic and work life. The standard includes six strands,which reflect the Framework for 21st Century Learning. 4 For the purpose of this study and asmentioned above, we are focusing on the skills of collaboration and communication, although itis expected that engaging the students in a variety engineering activities will also improve theirability to think critically and solve problems. That topic will be addressed in a larger study of allof the students whose teachers are part of the NSF funded PISA2.Partner ClassThe partner school is located in Jersey City, the state’s second largest city. The school districthas 28,218
. Page 19.37.1 c American Society for Engineering Education, 2015 The Attributes of a Global Engineer: Results and Recommendations from a Multi-Year ProjectAbstractFor the past several years, the American Society for Engineering Education’s Corporate MemberCouncil, reflecting the voice of industry, developed a series of attributes representing the desiredcompetencies needed by engineers in order to effectively live and work in a global context. Aglobal online survey was launched to validate the performance and proficiency levels of eachattribute, and a series of global focus groups in every major region of the world have been heldfor the purpose of clarifying and refining the
scales, student reflections, journals, portfolios, and peer and self-assessment.Rationale: If we value personal, interpersonal, and product and system building skills, set them as learningoutcomes, and design them into curriculum and learning experiences, then we must have effectiveassessment processes for measuring these skills. Different categories of learning outcomes requiredifferent assessment methods. For example, learning outcomes related to disciplinary knowledge may beassessed with oral and written tests, while those related to design-build skills may be better measured withrecorded observations.Standard 12 -- CDIO Program EvaluationA system that evaluates programs against these twelve standards, and providesfeedback to students
their self-analysis findings and self-improvement achievementsResultsThe class had an enrollment of 23, and 16 students chose to participate. Student self-analysisreports were collected at the end of the semester but before the final exam, and do not reflecttheir performance on that event. A sample student report is presented in Figure 1. Studentcomments gleaned from the self-analysis reflect overall satisfaction with the process in terms oflearning their professional strengths and weaknesses. Sample comments are quoted below: · I learned that there is direct correlation between the amount of studying time and score awarded. Secondly there is also correlation between the allotted time for assignment and the score. Those
study had as its basic educational objective the integration ofknowledge of materials handling with expected practices and outcomes. Its goal was thedevelopment or refinement of problem-solving skills via virtual interactions in increasinglycomplex materials handling settings. The content reflected basic principles of materials handlingwith interpretations and uses offered by managers, engineers, and students. Diverse settings wereportrayed via media-supported clips of actual uses and oral as well as written overviews.The module was targeted to meet the needs of two types of learners:· Engineering juniors or seniors who had strong modeling skills but limited knowledge of
software on 88 students and faculty from two collegesand students from a high school. Data from standard Reflective Judgment interviews and fromCogitoã have been analyzed in a variety of ways using neural-net software. The better fits showcorrelation coefficients between Cogito ã and interview ratings of 0.5-0.8. Most other fits showcorrelations below 0.4. These results are slightly to significantly better than previous paper-and-pencil instruments for measuring intellectual development. We will discuss what our resultsmean for effective assessment. Are R values in the 0.5-0.6 range good enough? Why is there anapparent ceiling on R values for paper-and-pencil instruments?Keywords ¾ intellectual development, assessment, neural network, Cogito
for Engineering Education ETD 315At the post-secondary level, a meta-analysis of 225 studies of undergraduate STEM courses,comparing student performance in traditional lecture and active learning courses, students intraditional lecture courses were 1.5 times more likely to fail the courses than their peers in activelearning courses [2].When designing instruction, the active learning model [3] of experiential learning includes fourkey components: 1) engaging students in a concrete experience based on the content beingtaught, 2) providing students with the opportunity to make observations and reflect on theseobservations, 3) allowing students to analyze
student interest and development in science,technology, engineering, art, and mathematics (STEAM). This paper introduces Walk andDraw, a collaborative effort between the disciplines of Computing, Arts, and Interactive Mediato support students as they navigate the STEAM disciplines. The Walk and Draw applicationenables students to experience nature while documenting their findings. We have built anopen-source prototype system that supports students in conducting and documenting theirexperiences in varying environments, thereby providing the opportunities for self-reflection andsharing their experiences with their peers. Ideally, Walk and Draw will support students intheir lifelong goals of communication, exploration, and creativity. Walk and Draw
. Page 22.1157.6For this study, a semi-structured interview protocol was employed in order to obtain a measureof consistency among the interviews, with each interview lasting approximately 60 minutes. Theprotocol was designed to allow the participants to talk about their previous experiences withprogramming in a general sense in order to prime them for the reflection needed to answer thein-depth questions about their understanding23. This is a key component in conducting aphenomenographic research study, as it is only through this process of reflection that theparticipant is able to fully articulate their experience or understanding, especially if thephenomenon under investigation is a specific event or experience. However, reflection is a
and Self-Objectives; examinations) Assessment andPresentations) Self-Reflection Items)In the set up to the Are students Are the students Is the teacherlesson or within the directed to actively assessed in a way presented withmaterials presented connect math and that allows them to materials in trainingduring the lesson, science concepts to demonstrate that wouldare math and science engineering connections of math explicitly connectconcepts explicitly concepts in their and science