paperfocuses on WERCware as an extended duration example of multidisciplinary undergraduateproject work, highlighting lessons learned by both students and faculty from the experience.I. Introduction: Contribution of Work & Case Study History leading to Lessons LearnedAs an opportunity for rich multidisciplinary engineering applications, social service applicationsare often overlooked. While benefits of service learning have been widely addressed in literatureon engineering education, only a few recent papers have proposed assistive technology as a focusfor undergraduate engineering projects.1-4 None address the need for a system that delivers socialservices remotely, as suggested here. This paper draws lessons from ongoing
, power systems, communications, computer hardware and software,signal and image processing, control systems, optics and lasers, and electromagnetics, amongothers — some are more commonly chosen by students than others.1 Electromagnetics is often perceived by students as being too highly mathematical,conceptual, and theoretical in nature.2 With a reputation of being difficult and demanding,electromagnetics has become one of the least popular undergraduate specializations withinelectrical engineering programs.3 Introductory classes in electromagnetics focus on the study ofMaxwell’s equations, the fundamental equations governing electromagnetism.1 The broader fieldof electromagnetics also encompasses antenna theory, radar systems, and the
“make solar energy economical” challenge,students were asked to design, build, and test a solar power plant at relatively low cost that couldprovide consistent electrical power throughout the day (despite the changing position of the sun)for villagers living next to the Taklamakan desert in China. A project testing setup that simulatedthe sun’s movement over time on a small scale (shown in Figure 1) was created to test theeffectiveness of the functional prototypes. Figure 1. Project testing setupFor the two challenges just described, villages located in rural areas around the world were usedto provide students with the opportunity to consider the real needs of a community that they arenot familiar with and to
pedagogical approaches and curriculum designs are most effective to cultivate these twocritical skills and prepare students for their academic and professional careers. In thisinterdisciplinary study, the researchers selected three tablet courses (i.e. Construction Graphics,Green Building Design and Delivery, and Administration of Personnel) from engineering andbusiness management curricula. Project-based learning and flipped classroom pedagogies wereadopted in all three courses. Direct and indirect measures, along with associated rubrics weredeveloped to assess the targeted student learning outcomes: (1) oral/written/graphicalcommunication, and (2) critical thinking, in a tablet-enhanced learning environment with anemphasis on active and
(1) investigates the development of higher-order thinking and complex problem-solving competencies following a comprehensive framework that includes cognition, metacognition, cognitive regulation, motivation, emotion, and epistemic beliefs; (2) develops innovative assessment methods that can benchmark progress of learning and the development of com- plex problem-solving competencies; (3) develops new and effective approaches to design state-of-the-art digital learning environments (such as intelligent tutoring, system dynamics modeling, simulations, vir- tual reality, and digital games) to facilitate complex problem-solving competencies; and (4) investigates effective ways to prepare teachers and administrators
description of how we implement IPS. Weargue in this work that computational literacy can be acquired more effectively when weintroduce computational tools and methods in the context of solving disciplinary engineeringchallenges.MethodsThe CourseThe CPMSE course was designed using the How People Learn framework4. It is knowledgecentered, learner centered, and community centered. It uses MATLAB as the programmingenvironment and the learning objectives are5: (1) Write MATLAB programs to execute well-defined algorithms. (2) Design algorithms to solve engineering problems by breaking these into small tractable parts. (3) Model physical and biological systems by applying linear systems and ordinary and partial differential
the solutionof a problem using LP. A sample of the methods found in the literature is shown in Table 1. Table 1: Comparison among methods to solve problems using LP Hillier and Liberman 19 Taha20 Winston21 1. Define the problem 1. Define the problem 1. Formulate the and gathering data 2. Formulate the problem 2. Formulate a model 2. Observe the system mathematical model 3. Solve the model 3. Formulate a 3. Develop a 4. Validate the model mathematical model computer
participants andoften lacks evidence of validity. This paper examines the perceptions and use of engagedthinking, a term that encompasses critical and reflective thinking, by six students throughout a10-week Research Experience for Undergraduates summer program. An analysis of a series ofinterviews conducted with each student throughout their research experience presented themesrelated to prerequisites for engaged thinking (background knowledge, disposition, andtransitional circumstances) which could address some of the shortcomings that have previouslyprevented undergraduate research from reaching its full potential.IntroductionThe development of critical thinking skills represents one of the primary goals of undergraduateengineering education.1-3 In
parameters. Excluding the limit of movement of each joint, therelationship between the joint angles and the position and orientation of the end-effector isdictated only by the D-H parameters and any two arms with the same parameters will have thesame relationship. That is why those and the joint limits are the only parameters the tool needs tospecify the arm. This results in the user being able to simulate any arm in the text book andfurthermore being able to enter the arm in just a few minutes. In Figure 1 the specifications forthe three DOF arm with two revolute joints and one prismatic joint (R2P) is shown entered intothe arm creation pane. The rendered arm in shown in Figure 2a.Figure 1: The control panel to create the robotic arm.IV
or get a good grade. As Dr. Babs Carryer(n.d.), an adjunct professor of entrepreneurship at Carnegie Mellon University, states “most ideasnever make it past the class deadline. Prototypes, solutions, disruptions sit on the shelf becausethey were designed for an engineering class not as a potential business venture” (para. 1). Even ifventures fail, students learn from the experience and improve their odds of success in the nextendeavor (Minniti & Bygrave, 2001). Students can learn many useful skills by participating inentrepreneurial activities even if they don’t become an entrepreneur after graduating. Students Page 26.504.3gain the
a Multidisciplinary Mechanical Design Laboratory Sequence based on Faculty ResearchAbstractResearchers have shown that the incorporation of hands-on design projects in the first two yearsof college provides mastery that increases the likelihood of success in engineering [1-8].Integrating real world design problems, based on faculty on-going research, into the curriculumduring the freshman years is without a doubt extremely beneficial; however the process requiresa heavy commitment in faculty time and sometimes resources.This paper discusses preliminary results of introducing faculty on-going research toundergraduate students, in a form of a lab sequence, focusing on student-centered approachessuch as active cooperative
students. Each week, the students aresubject to (2) 50-minute classroom lectures and (1) 115 minute laboratory experience in TheFactory for Advanced Manufacturing Education (FAME) laboratory at Penn State UniversityPark. The objectives of the course are to introduce industrial engineering students to the theory,principles, mechanisms, and concepts of solidification/ additive manufacturing processes formaterials, emphasizing process selection and the effects of process capabilities and limitation ondesign, costs, and quality. The course includes lectures, laboratories, demonstrations, videos,extension readings, and homework problems. The main course topics covered in the course aremechanical testing and properties, metal casting processes, welding
confidence in their ability to lead discussions, as well as other positiveprofessional and personal growth.1 BackgroundIncreases in student enrollment, decreases in state higher education funding, and larger classsizes all contribute to a less conducive learning environment for students (1, 2); all are a reality atLouisiana State University (LSU). Added to these difficulties, students are further challenged intheir sophomore year of college as they struggle to convert study skills that in high schooldepended on bulk memorization to new more intense requirements of application-basedprocesses. Students who did well freshman year sometimes do not pass major key courses insophomore year (3). Sophomore year is also the time where the majority of transfer
theclassroom. 3,4 Coherence is the extent to which teacher learning is consistent with teachers’knowledge and beliefs. 5, 6 Gess-Newsome et al. 7 described these beliefs as a “personal practicaltheory” of teaching in which the teachers’ experiences and philosophies dictate an image of howteaching and learning in their classrooms should look (p. 758). Moreover, ignoring teachers’knowledge and beliefs can be perceived as a threat to a teacher’s expertise and his/her ability toengage students in meaningful learning. 8, 9 Effective PD accounts for the fact that meaningfulinstructional change takes time and that increased duration of PD leads to positive changes inteacher knowledge and practices. 1, 2, 10 In fact, the quantity of time a teacher spends
concept inventory-stylecognitive learning questions that have been developed by content experts for each course leveland are scaled using Bloom’s Revised Cognitive Taxonomy. Results from fall 2014 freshmencourse are analyzed and presented and results from both levels in the spring 2015 semester willbe included in the presentation.1.0 Introduction In 2008, the U.S. National Academy of Engineering (NAE) announced 14 GrandChallenges in engineering that are awaiting solutions in the 21st century. This list includes thechallenge to “Provide Access to Clean Water”1. Water is the critical resource for supplying foodand energy, safeguarding human health and maintaining national security. Increasing pressures
) frameworks. The National ResearchCouncil (NRC) and the American Association for the Advancement of Science (AAAS) releasedthe seminal framework for K-12 science standards over 20 years ago. As technology hasadvanced, so has the world. Students are no longer asked to memorize and regurgitate low levelcontent facts; they are asked to clarify the relationships about integrated science themes.1 NGSShave taken into account advancements in science and technology. According to NGSSframework leaders, nations that lead the world in STEM education were found to, “haveintegrated science standards rather than grade-level, subject-specific courses in grades 6-9/10(International Science Benchmarking Report 2010).” The standards give teachers researchbased, best
engineering and futuresstudies teachers, teaching modules aiming to enhance the capacity of civil engineeringstudents to design for the future were developed as one of the first steps toward a morecomprehensive set of curricula, suitable for other engineering teachers to adopt in class in thefuture.Background In light of the rise of globalized economy, emerging technologies, and increasinglyintensified uncertainty, engineering education around the world has been compelled in recentyears to rethink its curriculum design, teaching methods, and course contents.1, 2, 11Engineering education has been criticized for overly emphasizing engineering technicalitywithout using integrated projects or issues to prepare students
students [1]. That is,the application of skills learned in one class to a in a different discipline. For example, studentshave difficulty translating skills learned in math classes to solving problems in physics classes [2].As engineering educators, we are called to assist students’ integration of material across thecurriculum [3] [4]. The ability to transfer knowledge to new situations requires students must workthrough Bloom’s domains to develop these intellectual skills [5]. This laboratory experience isdesigned to show “real world” applications to assist in moving students from the knowledge andcomprehension to application and synthesis.The authors determined that laboratory courses were ideal opportunities to include experiences toassist
Society for Engineering Education, 2025 Enhancing SQL Learning Through Gamified Deliberate Practice: The Impact of Engagement and Feedback in Undergraduate EducationABSTRACTRetention and application of SQL skills pose significant challenges for undergraduate students,particularly in technical disciplines requiring high levels of engagement and practice. This paperintroduces the Deliberate Practice Engine, an innovative e-learning platform designed to enhanceSQL learning through deliberate practice, iterative feedback, and gamification elements,including point-based wagering. To evaluate its effectiveness, two experiments were conducted:(1) a controlled study with 16 undergraduate engineering students
, centroids, and reactions. Real world scenarios encourage curiosityabout the world and demonstrate how statics is an important first step toward creating value forothers. Faculty eager to teach these topics will find comprehensive coverage of the topics and theuse of the beam model to teach the topics. Thoroughly demonstrated applications of John MiltonGregory’s Seven Laws of Teaching [1] should also be helpful to the engineering educator.Notation𝐹⃑ = force ⃑⃑⃑⃑⃑⃑⃑⃑ 𝑀/𝐴 = moment about point A𝐹𝐴𝑦 = y Cartesian component of a force ⃑⃑⃑⃑⃑⃑⃑⃑ 𝑀 moment about point B
experiencescorrelate with student learning outcomes and performance satisfaction at the end of the course.BackgroundTeamwork and Team EffectivenessThe 2024 - 2025 ABET Engineering Accreditation Criteria defines a team as “more than oneperson working toward a common goal… [including] individuals of diverse backgrounds, skills,or perspectives” [1]. Given that over 95% of US employees reportedly work within teams,teamwork has become a core competency for the employability of higher education graduatesand one of the top three skills employers seek in recruitment and selection [2]. Teamwork isintegral to product development, process improvement, and manufacturing activities in industrysettings, so future engineers must possess the ability to lead and work
comingyears, escalating the demand for urban areas to deliver sustainable and efficient services. Manycities have started adopting the concept of smart city construction through various contexts likegovernance, healthcare, energy, transport, etc. [1]. The evolution of smart cities has taken place bythe end of the previous century when cities like Amsterdam and Barcelona in collaboration withbig companies like IBM and Cisco have made attempts to connect digital and physicalenvironments but not until 2015 the world has started seeing big developments and applicationslike digital implementation to physical structure and infrastructure especially into service sector[1]. The new challenges like the COVID-19 pandemic, energy crisis, political and climatic
experiences from the course.1 Introduction The Internet of Things (IoT) has become increasingly integral in shaping a technology-drivenlifestyle for consumers worldwide. IoT systems, characterized by interconnected sensors anddevices 1,2 , collect and transmit data through cloud servers to the Internet. This proliferation ofsmart network appliances and smart city environments, such as intelligent homes and vehicles,has been accompanied by a significant rise in cybersecurity vulnerabilities, often exploited at arate that outpaces the development of effective countermeasures. Given the increasing frequencyand severity of these security incidents, there is an urgent need for educational programs thatprepare STEM students to learn how to tackle these
virtual exchanges inbroadening access to internationalization opportunities among undergraduate and graduatestudents while fostering critical thinking, cross-cultural communication, and the ability to workcollaboratively across borders to address global challenges.1. INTRODUCTION The recent COVID-19 pandemic shed light on the important role that biomedical engineersplay in safeguarding the future of our planet. In fact, many of the challenges our world faces todayare global in nature and require global cooperation. As stated by Dr. John Anderson, President ofthe National Academy of Engineering, engineers play a major role in addressing the dominantglobal problems of our age [1]. The 2022 Biennial Report to the U.S. Congress on
participating in the program impacted the way they think abouttheir teaching and how they intend to implement STEM concepts from the program into theirclassrooms.Keywords: teacher self-efficacy, K-12 teachers, informal learning, STEM, summer camps1. Introduction1.1 BackgroundWithin research literature, a plethora of studies look at the impact of informal learning on identity,achievement, and academic persistence in science, technology, engineering, and math (STEM).However, there is less research into the impact of informal learning on teachers or even teacherswho participate in informal learning with their students [1], [2], [3], [4]. Teachers generallydevelop pedagogical practices based on their educational pre-service programs and then refinethem
Competency Across Multiple Required CoursesIntroductionIn four-year engineering programs, learning progressions, or strategic tracks that outlinestudents’ learning journeys throughout the program [1], are important for tracking students’competency development. These progressions are often informed by program educationalobjectives and can be used to develop formative assessment measures. Literature has defined thevalue of learning progressions in K–12 science and math education as well as how to designthem in these contexts [2, 3, 4]. However, there are limited examples in which these progressionshave been used as a strategic tool to support students’ competency development in post-secondary education, particularly engineering education [5]. We argue
1 University of MichiganAbstractThe University of Michigan Robotics program focuses on robotics as an embodied intelligence,where robots must sense, reason, act, and work with people to improve quality of life andproductivity equitably across society. ROB 204 is an introductory course for robotics majors thatprovides a foundation for designing robotic systems to address a user need with a sociotechnicalcontext. The course combines lectures, labs, and discussions to teach and reinforce learningobjectives in an equitable and experiential manner. In this paper, we present the lab procedures,required materials, and reflections that operationalize concepts from lecture. Labs collectivelyinclude hardware
Faculty Perceptions of Standards-Based Grading in Undergraduate Engineering CoursesIntroductionStandards-based grading (SBG) is an alternative grading approach that places focus onevaluating students’ mastery of course learning objectives, rather than using the traditional0-100% scale. Unlike traditional grading systems, SBG aims to provide more clear expectationsabout what students should know, as well as clarify their progress towards each of theseoutcomes. Implementing SBG has been shown to improve students’ focus on mastery andlearning [1], including in engineering courses [2]. Previous work has shown that faculty perceivethat SBG provides benefits such as more direct feedback to students, improving students’abilities to
returning from an international, short-term, community-engagement design project. They then participated in an in-person group reflective activity toidentify the difference between charity and justice mindsets, and they were given the option torevise their responses to the initial reflection (to re-reflect). Using qualitative analysis techniques,this study sought to determine: 1) whether participants demonstrated a charity or justice mindsetin the written responses and 2) whether the pedagogical technique is effective.Results indicate that participants demonstrate both charity and justice mindsets, and 64% ofparticipants (n=19) shift towards justice mindsets. Participants overwhelmingly affirm theusefulness of the activity (95%) and state that
to computational speeds have made it more powerful [1, 2].Machine learning (ML) generally refers to algorithms (e.g., linear regression, non-linearregression, random forest) that turn input data into output data, and in doing so, achieve AIgoals. ML algorithms typically require tens to hundreds of data points. Deep learning can beconsidered a part of ML, and both fit in the broader term of AI. Deep learning algorithms(e.g., neural networks) typically work on thousands of data points and are, as such, used in‘big data’ engineering applications.AI-powered technologies are becoming more prevalent in daily life and the workforce,making it crucial to understand and adapt to using new large language model (LLM) tools,such as Chat Generative Pre