activity?Researchers collected approximately eight hours of data over 5-unit lessons in a middle schoolengineering and technology classroom. The students participated in creating an electronicexpansion pack for the Sphero BOLT using a micro:bit and sensors. This analysis focused on videorecordings of two pairs of girls in this classroom. Using the Team Interaction Observation Protocoloutlined in [1], we employed a qualitative discourse analysis approach to analyze videos. Thisconceptual framework specifies six types of discourse actions: task-oriented, response-oriented,learning-oriented, support-oriented, challenge-oriented, and disruptive, and was used to categorizestudents’ interactions.Results suggest that girls who engage in collaborative
promotion of sustainable economic development through strategicinnovation.Keywords: capability, index, transforming, engineering, education, semiconductor, chip.IntroductionIn the contemporary world, there is still a gap in economic development between different regions, whichis largely due to economies’ capacities to develop highly complex goods and services that allow them tocompete within global value chains [1], [2]. According to Hidalgo and Hausmann [3], one of the keyelements to achieving this productive complexity is Know-How, defined as the practical and theoreticalknowledge necessary to create and make complex goods and services available to the masses. Know-Howrefers not only to technical knowledge but also to the ability of an
-making inprofessional engineering contexts.IntroductionEthical reasoning is a critical competency for engineers, as their decisions often carry profoundsocietal, environmental, and safety implications. Traditional assessments of ethical reasoning,such as the Defining Issues Test (DIT) [1] and the Engineering Ethical Reasoning Instrument(EERI) [2], are modeled on Kohlberg’s justice-based moral development framework [3]. Whilethese assessments provide quantitative measures of ethical judgment, they often fail to capturethe complexity and context-dependence of ethical decision-making in real-world engineeringpractice.A key limitation of these static, principle-based assessments is that they emphasize abstractreasoning over situated, in-the-moment
, loops, and functions. Additionally, itaddresses the need for improvements in course design, instructional effectiveness, and theinstructor’s professional growth. The study employs qualitative and quantitative data collectioninvolving two-course sections with a diverse group of students, engaging in 75-minute pairprogramming sessions where they alternate roles as driver (who writes the code) and navigator(who reviews and guides). The C programming language is used to facilitate collaboration andreal-world skill development. The unique aspect of this study is the structured reflection processapplied after each pair programming session. Students were asked to answer three questions: (1)what they learned, (2) what areas they needed more practice
and now consistent mentor experience despite the heavier time demands,increasing rates of students accepting positions with employers who participated in the seniorcapstone course, and starting student salaries with year-over-year inflation-adjusted increasesthat generally outpace college, industry, and national trends.Introduction and motivationThe American Society for Engineering Education (ASEE) Civil Engineering DivisionCommittee on Professional Practice is uniquely interested in evaluating the capstone experience,particularly in regard to the capstone students’ experience of “real-world” practice [1].Furthermore, capstone courses are often used to meet several student outcomes (SOs) for ABET[2] accreditation, especially regarding the
. ©American Society for Engineering Education, 2025 Adaptive Course Enhancement through Iterative Reflection-Based Intervention DesignIntroductionStudent feedback can shape teaching practices and improve course design [1, 2]. Although manyinstitutions collect student feedback, the pedagogical value of this practice depends on instructors’engagement with the responses [3, 4]. By listening to student feedback, instructors can tailortheir courses to students’ needs, fostering a dynamic and adaptable learning environment. Thetiming and structure of the feedback collection also influence its impact. Mid-semester feedback,for example, allows instructors to adjust courses in real-time, which benefits current and futurestudents [5
participation of the students in class activities is enhanced,and thus, so is the interaction between them, promoting their learning.1. IntroductionActive learning is becoming increasingly popular in construction education research[1]. However, as identified by Rodriguez-Largacha et. al [2], considerable effort on the partof the instructor does not guarantee that the student will be motivated or engaged to learn.The research of the cited authors, which was carried out on a civil engineering course inSpain, was motivated by the low interest of the students in learning more, low levels of self-learning and curiosity, and a lack of use of the recommended literature. The studentsappeared to be interested only in passing exams, and “the only motivation that
educational settings has become a critical component in preparing the future workforce.As industries continuously evolve and embrace Industry 4.0, there is a pressing need to develop aworkforce that is not only proficient in robotics, automation, and advanced manufacturing butalso capable of adapting to the rapid changes and innovations in these fields [1]. This paperembarks on a comprehensive exploration into how embedding robotics and automation withinthe STEM curriculum, specifically targeting middle to high school students, can significantlycontribute to achieving this goal.The curriculum in STEM education is seeing a paradigm shift, moving from traditionaltheoretical methods to more practical and hands-on approaches. The integration of robotics
, exclude graduate students fromparticipating, allow fewer teams per university to participate (and hence fewer students overall),and have fewer attractive incentives in the form of prize money, national travel for recognition,and established industry sponsorship.IntroductionCivil engineering (CE) is currently challenged with declining student interest and decreasingworkforce numbers, while societal needs for infrastructure continue to increase [1, 2]. There isan urgent need to inspire the next generation of CE students who can see the creativity needed tobuild resilient and sustainable infrastructure that serves the needs of diverse communities.Despite this need, CE continues to attract limited interest for reasons such as (i) the perceptionthat
engagementstrategies (LESs). These LESs include collaborative learning, gamification, and social interac-tion.We present the objectives of the project, describe how the objectives were met, briefly describeSEP-CyLE, and provide data showing students’ interactions with SEP-CyLE. The data retrievedfrom SEP-CyLE provides insight into how the learning environment was used, students’ perfor-mance on the learning objects, and the impact of the LESs on students’ overall performance in anintroductory cybersecurity course.Keywords: Cybersecurity Education, Cyberlearning Environment, Learning and Engagement Strate-gies, Learning Objects.1 IntroductionThe ubiquitous nature of information and communication technology (ICT) in the 21st centuryhas resulted in an upsurge
components and the design decisions made by professional engineers. Byworking with a commercial product, students gain hands-on experience with the design process,while receiving more guidance and concrete examples than they would when designing a productfrom scratch [1]. This approach also offers several benefits in introductory courses, includinglow cost, minimal faculty overhead, and the promotion of teamwork among students [2].For the Fall 2024 semester, two sections of students reverse engineered a garbage disposal.Students worked in groups of 3-4 students to investigate the garbage disposal and break it downinto its components. They then focused more specifically on the motor of the garbage disposaland the design choices that were embedded
things courses. Thismodule will be assessed using a pre-and-post survey of students understanding sustainableproduction processes, and their perceptions of how a digital twin can be used to optimize aproduction operation for sustainability. Moreover, the end term course evaluation also showsimprovements in course ranking.IntroductionAfter years of devastating wars, environmental degradation, and pollution, member states of theUnited Nations (UN) reached a historic agreement in 2015 to create a safe and sustainableenvironment for humanity and other life forms. This agreement resulted in the introduction ofseventeen Sustainable Development Goals (SDGs), with targets set to be achieved by 2030 [1].Among these, sustainable manufacturing stands as
course structure itself as well as bigger-picture upstream curricular issues. Thethree primary phases of this investigation included: 1) identifying and objectively exploringcommon anecdotal assumptions about root causes, such as ‘poor’ trigonometry skills, a lack ofphysics ‘knowledge’, not ‘understanding’ vectors, etc.; 2) developing a conceptual map of coursetopics that clearly identified precedence and dependencies among topics; and 3) aligning learningassessments with the conceptual mapping to determine specific topics where students firststruggled, thus leading to the inability to master concepts later in the course. Key findings of thework have included relatively precise identification of the basic vector arithmetic skills necessaryfor
takingadvantage of conscious muscle movement with little to no effect on other parts of the body, suchas moving ears or wrist muscles or flexing muscles to give commands to the robotic prosthesis.This approach, known as myoelectric control, uses electromyogram (EMG) signals recorded fromthe patient's residual muscles, which are then processed and used as control inputs to drive motorscoupled to the prosthetic limb [1]. Some research has been done to directly read intention frombrain scans, but this requires either an invasive brain implant, or that the patient to be placed inlarge machines with many probes reading the voltage of surface nerves of the skull. Non-invasiveBCI approaches typically use electroencephalography (EEG), where topical electric
solving, engineering,STEMIntroductionIn 1985, Terezinha Nunes Carraher and colleagues challenged the perspective that studentslearn mathematics primarily in schools in their foundational research [1], broadening thescope of mathematics education research. This was one of the studies examining how real-world experiences systematically influence mathematical understanding. Their researchrevealed that children develop mathematical understandings in daily, out-of-school contexts,which often differ from what is taught in classrooms. Building on this, they investigated howinformal, intuitive ways of learning mathematics can be leveraged in educational settings.Besides the cognitive and cultural dimensions of this research, their work spans the
great potential for families with children,particularly in rural areas where access to engineering learning resources is often limited. Livingin rural areas with geographical constraints can make it difficult for families to visit museums orSTEM events that could trigger children’s STEM interest and participation in their early years[1]. Rural public libraries play a key role in bridging this gap for their communities and families[2], as they are committed to providing informal educational resources, technology, andopportunities to their patrons [3]. An online option to access these sources can allow families touse educational materials at the convenience of their own time and space.However, online programs in general can present challenges for
teachers feelill-equipped to teach engineering due to factors that include: 1) the lack of professionaldevelopment, 2) lack of confidence in content knowledge, and 3) lack of understanding of theengineering education standards. Further, teachers play a key role in perpetuating or challengingdominant narratives. The canonical narrative on engineering is that it is fundamentally a White,male, middle class enterprise. For example, data from the engineering undergraduate enrollmentin 2016 showed that only 21.4% of students are female, with African American females makingup just 1.3%. Thus, considering how to promote equity in engineering in K12 education is urgentand necessary. In this study in a 7th grade classroom at a Title 1 school with a Black
whether the project had a greater impact on the self-efficacy andinterest of underrepresented students more than traditional civil engineering students. Drawingon Bielefeldt’s [1] findings, it is expected that incorporating service learning into engineeringcourses will increase self-efficacy and retention more for underrepresented groups.1. Motivation and BackgroundComputer programming, including algorithm creation and numerical methods, is an essentialskill for civil engineering students [2] but can be a roadblock for many students. The course isoften seen as a requirement and not immediately relevant to students’ future as civil engineers.Based on personal experience of the author, it is not until students graduate and attend graduateschool and
a lack of leadership, poor communication, limited conflictresolution skills, and intercultural differences hinder the integration of diverse and efficientteams [1]. The deficit in collaboration skills has serious consequences, including projectdelays, increased costs, and reduced work quality [2]. Moreover, the lack of formal trainingin teamwork skills, often relegated to practical experiences, further increases the likelihood ofconflicts and ineffective team management [3].The need to enhance teamwork and collaboration skills is evident in optimizing performancein academic projects and preparing students for the demands of the professional world [4].Collaborative and active methodologies that integrate theory and practice and
technology and education. This systematized literature review aims toexplore how these agents are being integrated into current educational platforms and thesignificant impact engineering educators can have in advancing this innovation. By employingan extensive database search, abstract review of 275 articles, and full article review of 90articles, multiple researcher involvement, and both inductive and deductive thematic coding, thisreview reveals three main findings: (1) There has been a sharp increase in publications related toconversational agents over the past three years, indicating a growing interest in theirdevelopment and integration, primarily outside the United States, with Python being thedominant programming language for its prototyping
. 1INTRODUCTIONStudents enrolled in collegiate engineering programs often are required to take an entry-leveldesign course. These types of courses expose students to ill-structured complex design problems,where there is not one single method or solution and there is uncertainty about which rules orprinciples are necessary to use [1]. Research suggests that hands-on design-based project classesalso excite engineering students and motivate them to stay in an engineering program [2]. Ill-structured design problems-- as opposed to well-structured problems-- more closely mirror thework engineers perform outside of academia. To solve real-world problems, engineers mustgather information that is not readily available, decide on a process, and identify and
expected increase in the adoption ofautomation in the construction industry.Purpose of the studyThe objectives of the study reported herein were twofold: the first was to assess thecompetencies that would be required of construction managers to be effective in a workenvironment that includes automation, and second to propose a way to integrate thesecompetencies into educational curricula related to construction management. These objectivesare being achieved by an examination of literature dealing with the subject and by conducting astudents’ survey to assess their familiarity with automation and their perception of itsimportance. The following research questions were investigated in this study: 1) How is automation important in construction
conducting tests in heat transfer in an undergraduateengineering lab. The fixture consists of a common hair dryer that blows hot or cold air over a fewrelatively easy-to-construct fixtures and sensors. The experiments that can be performed with thisequipment are: 1. Energy balance on the hair dryer using a wattmeter and temperature sensors tocalculate the air flow rate, 2. Forced convection from a heated disc to show the effects of Reynoldsnumber and free stream turbulence, 3. Free convection over a heated disc, 4. Transient heatingand cooling of steel and nylon spheres (to illustrate the Biot number effect), and 5. Velocity andtemperature distribution in a free jet. We show the fixtures, how the results compare with standardcorrelations, as well as
pandemic was disruptive to the education system across the world in countlessways. And while remote and virtual learning tried to address the challenge of content delivery,hands-on laboratory experiences which provided authentic science inquiry for high schoolstudents were impossible to replace during the pandemic. Additionally, the valuable afterschooland summer programs that supplemented such in school training (e.g., science fairs, roboticscompetitions, Science Olympiad) were not available as well. Research tells us that suchexperiences are crucial to catalyze a high school students’ interest in STEM careers [1], [2].Even more detrimental is the fact that these activities are often identified as milestones forstudents who are college-bound
of EML as an approachto enhance practical skills for real-world industry challenges.Keywords: Entrepreneurial Minded Learning (EML), Construction Project Management,Experiential Learning, Engineering Technology 1. IntroductionThe entrepreneurial mindset is increasingly critical in modern engineering education, as it preparesstudents to think innovatively, solve complex problems, and navigate real-world challengeseffectively (Hassan et al., 2013; Santiago & Guo, 2020). The KEEN network promotes the EMLframework, which emphasizes the 3Cs, Curiosity, Creating Value, and Connections, asfoundational elements of learning in engineering education. By fostering these competencies,educators aim to develop engineers who are not only technically
Community ServiceI. INTRODUCTION Volunteering means any activity in which time is given freely to benefit another person,group or organization [1]. Engaging in volunteering, among adolescents, has been shown tocorrelate with enhanced social skills which enables them to connect with students of allbackgrounds and interests [2]. Volunteerism has also been linked to increased civic engagement[2], improved academic aptitude [3], as well as enhanced self-esteem and happiness in adults [4].Additionally, participating in volunteering activities related to one’s degree has shown to giveparticipants practical and applicable experiences that can benefit their career prospects [5].Persistence in and completion of baccalaureate STEM degrees has been shown to
different institutions. While this data is not statistically significant (n=35)it could be indicative of the benefit of using more than 1 language in a data structures course, particularly onethat is relatively simple (Python) and one that is more strictly typed and object oriented (Java). This experiencereport will discuss the structure of the course in brief, including a discussion of where and when Python or Javawas used. I will discuss what went well and what I would change in the future, and include a suggested timelineof topics along with my suggested programming language to use for those topics. The student survey results arealso presented in detail. Keywords— CS2, Data Structures, Python, Java, Programming Languages, CS Education
Sticks: An Activity to ImproveStudent Engagement. It was named Classicle Sticks in homage to Popsicle ® sticks, as the sticksform the basis of this student engagement activity. In this follow-on, the Classicle Stick activitywas implemented in a total of ive engineering courses at Texas State University in ElectricalEngineering and Engineering Technology. In addition to gathering more data regarding theeffectiveness of the activity, a second Likert survey was created and administered to a subset ofthe students polled a year ago. Approximately half (15/27) of the students in Linear ControlSystems were introduced to Classicle Sticks a year ago in Electronics-1. In addition tocontinuing to probe effectiveness, this second survey addresses stress and
social manner [1], students use theirengineering background to help shape communities, economies, and ecosystems whileconsidering sustainable engineering practices and the respect for fundamental humanrights as reflected in the Universal Declaration of Human Rights (UDHR). Thecurriculum of this specialization emphasizes an interdisciplinary approach with a strongengineering core, blending engineering principles that also touch upon environmentalscience, economics, political science, and social responsibility. Students explore abroad spectrum of challenges, such as climate change, resource depletion, socialequity, and indigenous rights, learning to develop practical solutions that promotesustainability and resilience framed in relation to human
a broad spectrum of learning preferences. ©American Society for Engineering Education, 2025 Work-In-Progress: Belonging in Engineering? A Grouping Strategy Comparison1. Introduction and PurposeThis work-in-progress paper investigates how grouping teams by specific characteristics couldaffect feelings of belonging in engineering. A national (US) focus on broadening theparticipation in engineering endeavors to move beyond the commonly reported bachelor’sdegrees proportions awarded to women and to minorities of all genders [1]. For instance, ASEE-reporting institutions in 2020 noted the bachelor’s degrees awarded, without regard to majortype, were 23.5% female and 29.2