on break. Summer camps allow students to gain aunique experience in subjects [1], [2], especially with Science, Technology, Engineering, andMathematics (STEM). If participating in the summer camps, it is more likely that students'interactions with instructors, staff, and counselors will be more direct and individualized atsummer camps than in regular classrooms. This type of environment may boost students' self-confidence when immersed in summer camps [3]. STEM courses are often viewed as complexand sometimes unrelated to reality. Students need to be involved in hands-on STEM activities tomake the connection between education and future careers [4]. In addition to academic content,the camp allows students to interact socially and
public schools comprising students with varying backgrounds,experiences, strengths, and needs, STEM (Science, Technology, Engineering, and Mathematics)educators are key to integrating student interests with their lived experiences. In the currenttechnology-rich era, where every teenager has a phone glued to their hands, it has becomepertinent to design school-based educational activities that stimulate and build upon thoseinterests. Students’ motivation levels increase when they combine their experiences with learningactivities. Similarly, research indicates that integrating science, math, and engineering conceptspositively impacts student engagement with engineering design and skills [1]. Furthermore,students who receive authentic STEM
pathway, global affect, local affect, emotion, survey1 IntroductionWhile problem-solving is often thought of as a cognitive endeavor, the process also causesstudents to experience emotions [1], particularly when the problems are novel or challenging.Over the course of a problem, the series of emotions that a student experiences is referred to asan affective pathway; these pathways are intimately intertwined with the cognitive processes ofproblem-solving [2]–[4]. This work focuses on the development of a survey question that ourresearch team is developing to measure students’ affective pathways.Affective pathways are of significant interest to us as a result of their ability to influencestudents’ global affect (attitudes, self-concept
demonstrated by both quantitative and qualitative post-activitysurvey data. Interested readers are encouraged to download all materials associated with thisassignment via the provided Engineering Unleashed resource link.1. IntroductionHow to teach various aspects of the introductory programming course - commonly referred to as“CS1” - has been the subject of many papers for over 50 years [1]. While certain aspects haveevolved over time, such as advances in programming languages and software development tools,other aspects have remained the same, most notably the difficulty experienced by many inteaching their students problem solving and design skills [2]. Course assignments play asignificant role in the CS1 student’s experience, to the extent that
non-IVE teams from An-Najah.The evaluation in this study focused on (1) global competencies, (2) value of the experience, and(3) team dynamics.The influence of the experience on the global competencies of the students in IVE and non-IVEteams was assessed quantitatively and qualitatively using pre- and post-program surveys basedon the Stevens Initiative and RTI International’s Common Survey Items as well as survey itemsdeveloped for this IVE to measure whether the program promotes gender equity. The value ofthe project experience for all students (i.e., IVE and non-IVE) was evaluated using a mixedmethods assessment based on the “value-creation framework” of Wenger-Trayner et al. Fourcycles of the value-creation framework were included in this
project students presents a number of progresses on the attainment of the ABET StudentOutcomes. This paper reports the development and implementation aspects of this course.1. IntroductionIn Fall 2022, a required subtractive manufacturing course has been improved with a term projectfocused to service learning. The intention was to develop and implement practices tied to servicelearning and enhance the course students’ learning and success by implementing a servicelearning – focused term project. Service Learning is a teaching and learning approach thatconnects academic course to community-based problem solving practices [1]. Service Learninghas been proven as a successful student-centered learning activity in a high number ofEngineering and
affirming stories,but also institutionally realized leadership catalysts. By making four types of EL developmentcatalysts explicit, we provide engineering educators with authentic, industry-embeddednarratives to support their programing. This project is significant to the ASEE LEAD divisionbecause it provides us with a way of scaffolding leadership development opportunities for all ourstudents, even those who may resist the notion of engineering as a leadership profession.Keywords: career paths, engineering leadership, situated workplace learning, leadership narrativesIntroductionThe majority of engineers working in industry encounter supervisory or managerialresponsibilities within four years of graduation [1-4], yet research suggests that many of
introductory Thermodynamics course. Both sections received identical instructionfor the traditional presentation, but only one section was taught the new derivation during one classlecture period; the derivation was then referred to multiple times during subsequent conceptualdiscussions. Conceptual understanding of both sections was then compared using a second-lawconcept inventory, and a few supplemental questions. The experiment was repeated for two yearsduring the fall semesters of 2017 and 2018. The results are inconclusive; however, several positiveaspects have been described to encourage other instructors to perform similar experiments.Introduction: A new method of deriving the Clausius Inequality ds>dQ/T has been recentlyproposed [1], that
Paper ID #37415”Studies in the Strategies of Overcomers”: Literature Review of theExperiences of High-achieving Black Male Undergraduate EngineeringStudentsDr. Royce A. Francis, The George Washington University Dr. Royce Francis is an Associate Professor in the Department of Engineering Management and Sys- tems Engineering. His overall research vision is to conduct research, teaching, and service that facilitates sustainable habitation of the built environment. This vision involves three thrusts: 1.) infrastructure management, including sustainability, resilience, and risk analysis; 2.) regulatory risk assessment and
to support the use of multiple strategies to facilitate asense of community, comfort with active participation and knowledge of course material.However, there was variation in student perceptions by activity (socialization, GSRS, smallgroup collaboration) and by gender. Given their ease of use and potential to impact communitybuilding, learning, and comfort with active participation, a multi-pronged approach meritsconsideration in all graduate courses.IntroductionStudies of active learning in both graduate and undergraduate STEM courses have demonstrateda reduction of failure rates [1], [2], increased academic performance [3], [4], increased coursesatisfaction [5], and narrowed achievement gaps for students from minoritized groups in STEM[2
. PurposeThe work in progress paper presents the engineering design projects from e4usa that engagedSWDs as the stakeholders, and specifically focuses on the observations and experiences of e4usateachers, e4usa student teams, and the SWDs who served as the stakeholders and the educatorsthat support them. The logic model in Figure 1 further presents the desired outcomes ofeducators and students participating in design projects that engage SWDs. As mentioned, themission of e4usa is to increase engineering literacy for all and expand opportunities for thosetraditionally underserved and marginalized in engineering. Showcasing these unique engineeringdesign projects may help increase interest in engineering by all students, including those withdisabilities
failure 1. Prior empiricalwork in statistics education 2–4 and behavioral economics 5,6 has shown that people are highlybiased in their treatment of uncertainty. Engineering as a discipline has developed sophisticatedtools for identifying and reducing sources of uncertainty; for instance, the tools of statisticalprocess control 7,8. However, it is not clear how widely these tools are adopted in engineeringpractice, nor how widely the concepts of uncertainty are taught in engineering programs.There is reason to believe that uncertainty is not emphasized in engineers’ training. Modernengineering curricula heavily emphasize mathematics. For instance, the ABET criteria require 30credit hours of “college-level mathematics and basic science” and 45
form meaning for students. Thismethod allows for a nuanced narrative that breaches the traditional concerns ofresearch from generalization across cases to generalization within a case [1]. Creswelland Creswell describe autoethnography as a research methodology that analyzes aphenomenon through the use of self-narratives, which would otherwise remain “privateor buried [2].” Autoethnography has allowed me to use my personal experience inteaching, providing professional development, and mentoring teachers to provide aframework that can one day be the subject of more data-driven research [3]. As an educator with a decade of STEM curriculum writing and teachingexperience, I have had the opportunity to work in urban Title I schools as well
decades(2002 - 2022). The selected articles were read and coded based on the KIPPAS (Knowledge andUnderstanding, Inquiry Skills, Practical Skills, Perception, Analytical Skills, Social andScientific Communication) framework. The findings from this review suggest there is a need formore research into students' practical, inquiry, and analytical learning outcomes. This study alsoidentifies current practices and identifies gaps in the existing literature. The implication of thefindings for further research and practice were also discussed.Introduction Laboratory education is an important feature of the science curriculum at all levels ofeducation [1]. Experiments are essential to science learning because they are the avenue throughwhich students
students.David Zabner, Tufts UniversityDr. Jennifer Light Cross, Tufts University Dr. Jennifer Cross is a Research Assistant Professor at the Tufts University Center for Engineering Ed- ucation and Outreach. Her primary research interests include human-robot interaction focusing on the educational applications of robotics and the integration of engineering education with other disciplines.Dustin Ryan NadlerSteven V. CoxonKaren Engelkenjohn ©American Society for Engineering Education, 2023 Conducting the Pilot Study of Integrating AI: An Experience Integrating Machine Learning into Upper Elementary Robotics Learning (Work in Progress)1. IntroductionArtificial
, Attitudes, and Perceptions of Oral Engineering ExamsIntroductionWhile it is commonly known that verbal communication and presentation skills are highlydesirable by employers, many engineering students’ technical learning is assessed primarilythrough written examination means. In the department of Integrated Engineering (IE) atMinnesota State University, Mankato, verbal exams are a fundamental formative and summativeassessment method of checking students’ understanding [1]. While the goals for verbalexamination are common throughout the program, this paper aims to compile the individualphilosophies, approaches, attitudes, and perceptions of faculty within the department who giveverbal examinations on a regular basis
tools for assessing engineering learning inweekly summer engineering experiences. North Carolina State University’s College of Engineering’s (with 18 engineering majors)K12 outreach office, The Engineering Place, offers approximately twenty-five 1-week longsummer engineering programs for rising kindergarten through twelve grade students. The rising11th and 12th graders attend residential camp during their week, living in student dorms andexperiencing life on a college campus. It is within this context the research will be conducted.Theoretical Frameworks for Tools A literature review identified resources to guide the development of the assessment toolkit. These theoretical frameworks are research-based in engineering conceptual
last century to communicate information abouta student’s learning [1]. However, the widespread introduction of the A-F grading scale led tounnecessary stress and harm to students [2], questions about the accuracy and validity of thegrading system [3], and a sudden shift from learning to earning enough points to get a desiredgrade [4]. Furthermore, traditional grading schemes can further amplify the effects of biases andpolicies that negatively impact students from underserved groups [5]. Despite these concerns, theA-F grading system is still largely used in educational institutions today [1], and the question stillremains: Is there a way to communicate student learning without leading to unnecessary harmand a lack of intrinsic motivation? To
Teaching Assistants (TAs) are often fundamental to the function of many academicdepartments. Whether serving as course aides, graders, or primary instructors, graduate TAs playa vital role in teaching and building a community of belonging in the classroom [1]–[4]. Well-prepared graduate TAs with strong pedagogical training have the potential to ease the burden onteaching faculty and may even see improvements in their own development as scientists [5], [6].Many studies have illustrated the benefits of graduate TA training for increasing graduate TAunderstanding of pedagogical techniques and self-efficacy as educators [1], [7]–[9]. However,graduate TA preparation varies widely across schools and often focuses on policies overpedagogy [10], [11]. For
that all private and public infrastructure and engineered products are designed bya licensed engineer is not true due to the number of exemptions in the laws and rules in alljurisdictions. Civil engineering programs should include content on engineering licensure laws intheir curriculum to enable graduates to understand professional responsibilities and howlimitations in licensure laws can affect public safety and an engineer’s career path.IntroductionForty-nine of fifty state professional engineering licensure laws (referred to as licensure laws inthis paper) include language that the purpose of professional engineering (PE) licensure is toprotect and enhance the health, safety and welfare of the public [1]. Licensure is especiallyimportant
computing) from Beijing University of Posts and Telecommunications China in 2015. He worked as a software engineer at Sina for one year after he graduated as a master from China Agriculture University in 2009. He received the Best Paper Award from IEEE Edge in 2019. ©American Society for Engineering Education, 2023 WIP: A Study Report in a Web Technologies Course: What Makes Feedback Effective for Project-based Learning? Alaa Jaber1 , Kimberly Lechasseur2 , Khairul Mottakin1 , Zheng Song1 akjaber@umich.edu, kalechasseur@wpi.edu, khairulm@umich.edu, zhesong@umich.edu 1 Computer and Information Science Department, University of Michigan at
phenomenon (category 1), identify the set-up conditions for thephenomenon (category 2), identify the entities that play a role in producing the phenomenon(category 3), identify the properties, activities, and organization of those entities that affect theoutcome of the phenomenon (categories 4 through 6), and finally chain the current state of theentities backward to what happened previously or forward to what will happen next (category 7).The higher the category, the stronger the evidence of mechanistic reasoning by students.While Russ et al. (2008) focused on classroom discussion in physical science, Krist et al. (2019)examined mechanistic reasoning in students’ written explanations in multiple science contentareas. Their approach made use of the
Measurements Lab Class’, in 2006Annual Conference & Exposition Proceedings. 2006 Annual Conference & Exposition, Chicago,Illinois: ASEE Conferences, p. 11.1093.1-11.1093.12. Available at: https://doi.org/10.18260/1-2--28.Caridade, C.M. and Rasteiro, D. (2018) ‘INVOLVE ME AND I LEARN–video-lessons to teachmath to Engineers’, 19th SEFI-MWG, pp. 107–114.Cutri, R. et al. (2016) ‘Ten Ways to Improve Learning Physics as Part of an EngineeringCourse’, in 2016 ASEE Annual Conference & Exposition Proceedings. 2016 ASEE AnnualConference & Exposition, New Orleans, Louisiana: ASEE Conferences, p. 26075. Available at:https://doi.org/10.18260/p.26075.Davis, C. and Wilcock, E. (2003) ‘Teaching materials using case studies’, C. Baillie (Series Ed
review of existing engineering curriculum options, the authors selectedrelevant modules from the Engineering is Elementary (EiE) [1] program. Modules were selectedbased on alignment with CS&E, math, science, and literacy learning objectives and with theschool’s mission to cultivate confident, intellectual, and ethical girls who advance the world.This paper will report on one particular unit on chemical engineering that was used with the 2ndgrade class.In particular, we were interested in assessing the feasibility of adapting the EiE curricularresources to meet CS&E learning objectives, understanding the impact this type of lesson wouldhave on our students, and identifying connections with math, science, and literacy. The
beyond robotics including Human-Machine Teaming and Cybersecurity.IntroductionDeveloping a diverse Artificial Intelligence workforce is a critical national need 1. This isrecognized by government funding agencies 2, and there is a focus on increasing participation ofunder-represented groups3 and addressing the gender gap4. A particular interdisciplinary spaceinvolving multiple engineering disciplines, mathematics, and computer science is Swarm AI-machine learning techniques to control groups of robots (called swarms) to accomplish a task.This involves skills such as mechatronics, mechanical engineering, sensors and signalprocessing, wireless communications, computer networking, machine learning, control theory,path planning and optimization, and
learning about the activities, though some indicated theywanted to know more about the activity so they could help.Learners. The learners’ key role expectation was to learn, from the University partners how toinstruct the activities. For example, 22T1 initially thought her role would be “instead of ateacher, as a learner, more of a student”. During the pre-interview, 11T1 indicated “I hope thatI can help them and I can learn too. And, I'm always adapting. I see something I like and Isteal it, and tweak it a little, and use it in another way. So, that's what I see my role as.”Post Year 1 Interviews. All participants commented on the advantage of being able to learnduring the intervention. For example, 22T1, who was a learner, noted that what she
district’ssummer schedule. The program engaged students in computer science through computationalthinking, programming, design thinking, and real-world engineering experiences using micro:bitmicrocontrollers. K-12 lead teachers and undergraduate student mentors were trained andupskilled in the program materials to facilitate sessions and broaden their programmingexperience.During the program, students completed activities to understand computational thinking, howcomputers work, the micro:bit, and the MakeCode programming environment. [1], [2] Theseactivities introduced basic programming skills through simple projects that grew to studentsdesigning a rock paper scissors game and a light intensity meter to explore the relationshipbetween distance and light
this course more beneficial forstudents. To evaluate the effectiveness of this proposed course, it is recommended to offerthis course for a few semesters and conduct surveys at the end of each semester to collectfeedback and measure its effectiveness.1 IntroductionProgramming is one of the most important skills that engineering students need to learn.However, it is known that learning programming is not easy for students. A study has shownthat many college-level students still struggle with programming even after taking anintroductory programming course [1]. This means that teaching programming is verychallenging. Teaching programming at two-year colleges is even more challenging due to thebroad spectrum of student populations. Some
challenges, only a few opportunities exist for teachers and students to engage inas AI continues to grow [1]. This paper provides an effort to improve AI experiences for teachersand students at the middle school level.The effort to roll out the AI experience to middle school teachers and students was namedImageSTEAM. The name is coined from the use of computer vision as the main theme forlearning modules that were developed. The modules were a collaboration between middle schoolteachers and college faculty in engineering and education. The goals of the project to considerand use local environments and resources to develop knowledge in ImageSTEAM materialsurrounding computer vision and visual media, integrate machine learning and AI with
internationally, STEM majors experience more attrition and longer times tograduate than other majors. The high rate of attrition has been documented from a public policystandpoint at various universities in the United States, United Kingdom, Australia, and SouthAfrica [1]. The cost of attrition is significant. Students who attrite are personally burdened by thecost of a partial education when the costs of college are rising [2] and by the loss of income froma lucrative STEM career. Socially, attrition of STEM majors reduces the size of the workforce ata time of high demand for skilled college graduates [3]. The cost of attrition is particularlydetrimental to underrepresented minority (URM) groups who attrite in larger numbers [4], and tothe diversity of