deduced expected differences, noevidence of superiority of one of the three experimental conditions (videoconferencing,audioconferencing, and synchronous text-chat) could be observed in this contribution. Possiblereasons for this result, limitations of this study, and practical implications are discussed.Keywords: computer-supported collaborative learning, small-group collaboration, web-conferencing, synchronous online & hybrid teaching1. IntroductionCollaborative Learning (CL) is an instructional strategy with a positive impact on studentachievement (Cohen’s d = 0.39) in general [1]. Especially in undergraduate STEM programs, aCL approach results in greater academic achievement (Cohen’s d = 0.51), more favorableattitudes towards learning
ASEE Faculty Development Division, and the Vice Chair for the Research in Engineering Education Network (REEN).Albert Espinal, Escuela Superior Polit´ecnica del Litoral, Guayaquil, Ecuador ©American Society for Engineering Education, 2023 ` Stakeholders’ Perceptions about an Undergraduate Engineering Program Accreditation Process in Ecuador: Exploratory Work in ProgressBackgroundAccreditation of an engineering program allows a university to show that its program meetsspecified quality criteria in relation to teaching strategies, assessment methods, curricula, andresources [1]–[6]. Although institutions, such
Educational Reform and Research Activity. She obtained a Ph.D. in English Literature from Chiba University in 2002. Her current main research interests are: 1) how including humanities courses in an engineering education curriculum can help students to gain flexibility, and an appreciation of equity, and a greater richness of ideas; 2) finding and solving the systematic issues impacting the effectiveness of engineering education, specifically in the context of project-based learnings; and 3) assessing the impact of interdisciplinary engi- neering project-based learnings. Below are her recent presentations at international conferences: WERA 2022, APAIE 2022, IIAI DSIR 2021, IIAI DSIR 2020, WERA 2019. She obtained the
where he worked on modeling the transient dynamic attributes of Kinetic Energy munitions during initial launch. Afterwards he was selected for the exchange scientist program and spent a summer working for DASA Aerospace in Wedel, Germany 1993. His initial research also made a major contribution to the M1A1 barrel reshape initiative that began in 1995. Shortly afterwards he was selected for a 1 year appointment to the United States Military Academy West Point where he taught Mathematics. Following these accomplishments he worked on the SADARM fire and forget projectile that was finally used in the second gulf war. Since that time, circa 2002, his studies have focused on unmanned systems both air and ground. His team
,this method of instruction does not encourage deep thought or investigation into the significanceof standards and standardization. The need for improved integration of professional standards inengineering education has been long recognized [1].The inclusion of standards in the senior capstone course is part of the ABET accreditationprocess for engineering programs [2], and many students begin to develop a deeperunderstanding of the importance of codes and standards through the capstone experience. Thecertificate program described in this paper is designed to develop this deeper understanding ofcodes and standards earlier in a student’s academic career. The certificate program focuses onthe role of codes and standards within the engineering
. ©American Society for Engineering Education, 2024 Work-in-Progress: The Impact of an Interdisciplinary Experiential Learning Program on Undergraduate STEM Students’ Career Readiness1. Introduction1.1. Theoretical background1.1.1. 21st century skillsThe current era is marked by an increasing need for a new set of skills, often named genericskills or 21st century skills. Education researchers have recognized this need [1], as haveeducational bodies [2] and economic bodies [3]. However, fostering 21st century skills inundergraduate science, technology, engineering, and mathematics (STEM) students remains achallenge [4], with STEM graduates at times underprepared for what present-day STEMprofessions require [5]. An indication for
exposure to the field through their college experience [1]. However, research suggeststhat engineering graduates may not be adequately prepared for the workplace due to thecomplexities of engineering work [2]. Engineering work involves complexity, ambiguity, andcontradictions [3], and developing innovation skills requires analyzing real-world problems thatare often ill-defined and multifaceted [4]. Therefore, it is essential for engineering students to haveopportunities to work in multi-disciplinary teams to develop their skills in problem-solving andinnovation. This emphasis on the need for exposure to multi-disciplinary problem solving holdstrue not only for undergraduate engineers in training, but also for graduate students focused
are actively using ROS as a tool [1]. These metrics aregrowing steadily year over year. While early adopters of ROS were graduate students or in-dustry users, increasingly, students and instructors are taking an interest in ROS at the under-graduate level [2] [3] [4] as has been explored at the masters level [5] [6]. However, even justinstalling ROS can be a daunting task for the uninitiated. This paper explores options for in-stalling ROS for undergraduate courses, offers recommendations, and points readers towardsadditional guides and resources.2.1 Importance of ROSROS has become a powerful staple of robotics research and development. ROS is a softwaresuite with efficient, modular, and easily customizable software tools [7]. It is free
-Quzwini2 1. New Jersey Department of Transportation, New Jersey 08625, USA 2. Department of Electrical and Computer Engineering, Stevens Institute of Technology-Hoboken, NJ 07030, USA ABSTRACTCurrently, engineering students are only exposed to the theory of Fourier analysis in one of theirmath classes. They are not taught the rela�on between this transform and the frequencyspectrum of the �me domain data, how to find and plot its spectrum, or how to filter the data toremove unwanted noise and disturbance. Since a significant range of engineering applica�onsrequire analysis of the measured data in the frequency domain, students will need to fill this gapbetween
time the course is completed, therefore it is becoming imperative that we leverage the 0 This material is based upon work supported by the National Science Foundation under Grant No. 2022299latest advances in neuroscience that highlight the need to focus on building new neuron inter-connects via experiential learning design to form an Integral Engineer[7].The educational sector is currently facing several significant challenges. These include : 1)the implementation of remote labs [1], 2) the need for skills specific to the semiconductorworkforce [9], and 3) the development of soft skills that are crucial for succeeding in today’sjob market [14][27].This paper sets out with a clear and focused objective: to use 21st-century tools such
sequences and assessment resultsfrom industry sponsors, technical advisors, student self-assessment, and feedback through an“after-action-review” form. The results show high satisfaction with our capstone coursestructure, content, and approaches.IntroductionThe capstone design course is an essential milestone of engineering education and has been usedto help fulfill ABET Criteria for Accreditation. While engineering curricula must include aculminating major engineering design experience [1], engineering technology programs mustincorporate an experience that develops student competencies in applying both technical andnon-technical skills [2]. In addition, educational programs have used the capstone course forvarious purposes, including equipping
Factors Engineering course that utilizes both the concept of human habitformation [1] and Entrepreneurial Minded Learning (EML) [2]. In each weekly activity, studentsare required to find a product or system that they think is designed poorly from a user standpoint.The poorly designed product or system examples can be any everyday thing students interactwith. Following a predefined template provided by the instructor, students are required toshowcase their examples by including photos, the user’s goals as well as issues using theproduct, critiques, and a proposed design solution to address the user’s needs. The instructor’smain requirement for accepting a student’s example is to evaluate whether it satisfies at least oneof the three goals of human
solutions to these increasingly complex problems require collaboration betweenmultiple disciplines [1], [2]. On a grand scale, problems include climate change, epidemics,poverty, social unrest, and energy production/storage/transmission/use. On smaller scales,progress in a wide range of contexts also requires expertise from multiple fields. In medicine,multidisciplinary teams can more effectively relieve the pain, symptoms, and stress experiencedby patients with serious illnesses [3]. To build transportation systems that equitably servecommunities, transportation planners and engineers are being called to collaborate with socialworkers and the communities they serve [4]. To develop artificial intelligence systems witheffective human-AI interaction
homogeneously (the same for allstudents) or in a mixed environment (students or teams have different projects). Typical sourcesinclude industries, service learning, student competitions and faculty projects [1]. A study from2015 of capstone programs in the U.S. showed that industry and government were the mostcommon capstone project source for most engineering departments and for 96% of the surveyedmultidisciplinary engineering programs [2]. The second most used project source for allrespondents was faculty research, followed by student/entrepreneurial, external competitions,service learning and others.Faculty projects are typically faculty from the same institution who have research or academicdesign projects. Service-learning projects are typically
in industry. Thisresearch spans a multitude of domains and industries. This section summarizes the findings ofthose research papers. In particular, it summarizes the generalized techniques and findings that canapply to our domain of helping students determine if they would like to pursue a career inacademia.Job Shadowing and Experiential LearningJob shadowing is a type of experiential learning. Experiential learning is a broad category of hands-on learning techniques that are common both in classroom settings (labs and projects) and outsideof it (fieldwork and internships) [1]. Job shadowing has been studied in relation to variousoutcomes and has been found to positively impact knowledge transfer, student motivation,training, and more. The
Your Hand, a multidisciplinary collaboration between engineering and the artsAbstract: Raise Your Hand is an immersive, interactive sensor-driven dynamic art exhibit.Vision tracking software changes the video projections, mechatronics, and music composition inresponse to the height of a visitor’s raised arm. The 1 ½-year project brought together studentsand faculty from computer engineering, computer science, electrical engineering, industrialdesign, mechanical engineering, literature, media and communication, computational media, andmusic technology. Further, students were integrated into the project in different forms, includingcapstone design teams, Vertically Integrated Project (VIP) students, undergraduate research
, the School of Engineering (SoE) began to receive feedback frommultiple stakeholders – including prospective students, parents, enrolled students, nationalagencies, and employers – during open house events and other gatherings, all of whom voicedthe need for a curriculum that would fit a broader range of interests and would respond to newand complex challenges in society. Related trends are captured in recent reporting by theNational Academy of Sciences [1], including the shift in national and global economic direction,changes in consumer habits, concerns about sustainability, accelerated product life cycles, andnew trends in nationwide industrial developments. Additionally, engineering students areexpected to possess a wider range of skills
. than between instructional approaches, and future work isproposed to improve the consistency of grading.IntroductionDespite the increasing prevalence and necessity of computational solutions to engineeringproblems, as well as the successful adoption of web-based systems for homework delivery andautomated grading in engineering courses [1, 2, 3], hand calculations remain indispensable inengineering education and practice. Calculations by hand are frequently used in academia tosupport and validate numerical solutions, as well as assess students more thoroughly onexaminations, since most web-based solutions are only able to assess the numerical answer, notthe process the student utilized to get there. In engineering practice, clear documentation
completed a two-year degree but not a four-year degree [1]. This parentallimitation in higher education poses a major disadvantage to these students compared withstudents whose parents completed a higher education degree. This study adopted the definition offirst-generation college students as college students whose parents did not graduate from a four-year institution [1].Across colleges and universities in the United States, first generation students comprise 30-50%of the undergraduate students. First generation students are more predominant in two-yearcolleges and in general, they tend to have a high dropout rate [2].Research indicates that first generation students are less likely to be engaged in academic andsocial experiences such as studying
withmultiple mentors, selected according to students’ needs at different program stages, (iv) amodular, customizable approach to paths and schedules for individualized research experiences,(v) pervasive use of a social media many-to-many communication model to ensure coherencewithin each student cohort and its scientific and social communities, and (vi) constantengagement of students and mentors to accomplish professional development goals. By doing so,the program will further international collaboration, intercultural understanding, and exchange inbioinspired research.IntroductionThe growth of modern industry and startups, particularly in high-tech sectors, has led to asignificant increase in cross-disciplinary [1], cross-cultural, and cross-boundary
-efficacy (B = 0.38), self-efficacy in training regulation (B = -0.31),self-efficacy in proactive actions (B = -0.23), and age (B = -0.09). It is suggested to promoteactivities that can nurture students' self-efficacy beliefs, so that they can better take fulladvantage of the course, with a focus on academic success.Keywords: Self-efficacy, school performance, higher education.Introduction The concept of self-efficacy was first defined by Bandura [1] and was conceived as thebeliefs that an individual has about his or her own ability to organize and perform a certainaction [2]. These beliefs influence how people feel, think, are motivated, and behave. Morespecifically, there is a proposal to use the term self-efficacy in higher education
end of the course. The level of preparedness is on ascale of 1-5 with 1: Not Prepared at All, 2: Minimally Prepared, 3: Somewhat Prepared, 4:Adequately Prepared, and 5: Very Prepared. Feedback from this survey has helped inform theinstructors on areas to improve course materials and/or assignments. The engineering tasks inthe survey align with the Student Outcomes identified by ABET (in gray) and EntrepreneurialMindset Student Learning Outcomes (EMLO) (in green), which align with the MDC courselearning outcomes (in orange) as illustrated below in Figure 1: Figure 1: Connection of ABET Student LOs and Engineering Mindset LOs to MDC LOsIn the 2022-23 academic year, MDC began administering surveys to all project sponsors andadvisors for each
: The Effect of Summarizing a Research Article on Students’ Area of Robotics Interest1 BackgroundThe need for capable, ethical robotics engineers is growing with the industry valued at 32.32billion in 2021 with anticipated growth of 12.1% from 2022 to 2030 [1], and projected 17,900mechanical engineering job openings each year [2]. It is imperative that undergraduate andgraduate programs prepare engineers for industry positions in robotics, and that they includeand encourage diverse groups of students to enter the field.Additionally, diversity among engineers in general is limited, starting with bachelor’s andbeing further exacerbated when entering engineering professions. For example, 22% of engi-neering bachelor degrees in
developed a complete embedded system that enables usersto control the motion of the four joints - base, shoulder, elbow, and wrist, as well as the gripperof the robotic arm by simply turning the corresponding knobs on a custom-designed control box.They modified the 3D CAD model of the base, shown in Figure 1, to enclose all the electronicsand allow multiple ports and connectors to be conveniently accessed for battery charging,software update, and diagnosis. Figure 1. Base of the Robotic Arm (a) 3D CAD Model; (b) Base with HardwareThree MG996 servo motors were used for the base, shoulder, and elbow joints while two SG50micro-servos were used for the wrist and gripper. The PCA8695 PWM servo control board wasadopted to drive the motors and
our communities, orthe structure of our political and economic systems — tend to have the least influence on thosedecisions and how they are made. Design justice rethinks design processes, centers people whoare normally marginalized by design, and uses collaborative, creative practices to address thedeepest challenges our communities face.” [1]. Two core tenets of the Design Justice movementare that “absolutely anyone can participate meaningfully in design,” and “those who are directlyaffected by the issues a project aims to address must be at the center of the design process.” [4]Engineering education community and design researchers generally agree that pedagogicalinnovations are needed to ensure that current and future technologies are
system. These artifacts can be archived in a standardrelational database and hosted on robust cloud-based backend systems for scale up. The ARcontent creators can own their content and Non-fungible Tokens to sequence the presentationseither to improve pedagogical novelty or to personalize the learning.I. IntroductionAugmented Reality (AR) devices that offer immersive experiences for users have maturedsignificantly in recent years [1]. When incorporated effectively into systems, such devices cannow help to address many of the challenges brought about by the digital transformationinitiatives in manufacturing, health, and education [2]-[10]. AR devices can super-impose virtualinformatics on objects and spaces in the physical environment of the
linear modeling, we investigate therelationships among interdisciplinary teaching system on graduates’ interdisciplinarycompetence and explore the mediating effects of interdisciplinary identity.Results This study finds that: (1) Student-centered instructional practices, as well ascomprehensive curriculum emphasis, have a significant role in promoting theinterdisciplinarity of engineering graduate students. And Student-centered teaching methodshave a more significant effect on improving students' interdisciplinary ability thancomprehensive curriculum emphasis. (2) The recognition of interdisciplinary identity plays apartially mediating role between the interdisciplinary teaching system and interdisciplinarycompetence, and the performance
programs, but the current published literature concerning these types ofprograms is lacking [1]. This study analyzes the Integrated Design Engineering (IDE) program atthe University of Colorado Boulder, one such multidisciplinary program. Quantitative surveydata and qualitative focus group data from the students in IDE are obtained and analyzed todetermine the value of these programs, as well as improvements that can be made. The results ofthe surveys and focus groups show that multidisciplinary engineering programs are in factvaluable in recruiting and retaining engineering students. These programs attract students whoare well-rounded, have many interests, are collaborative, and are looking for versatility in futurecareers. The program is able to
group of experts, Datamationidentified nine data predictions for 2022 [1]: 1. Addressing growing data quality concerns. 2. Investing in remote worker cybersecurity and threat detection. 3. The growth of natural language processing. 4. Commodifying the Internet of Things for genuine business needs. 5. Leaning on AI for network monitoring. 6. Data fabrics aiding the management of unstructured data. 7. Tech workers demanding new benefits. 8. Shifting cloud security landscape. 9. Localization meets globalization in data compliance.Interviewing another group of experts, a year later, Datamation identified six data predictions for2023 [2]: 1. AI Boom Fuels Data Science Growth 2. Machine Learning Growth to
the bodybalanced [3,4].Figure 1 shows a schematic of the VS located in the inner ear. It includes the vestibular labyrinth,which houses three semicircular canals (SCCs), referred to as the anterior, lateral, and posterior,and the two otolith organs, the utricle, and the saccule. The three SCCs located perpendicular toeach other detect angular acceleration with respect to the three axes. For example, the lateral SCC,located horizontally, detects angular rotations of the head turning left or right. The posterior andanterior SCC’s detect left and right head tilts and head movements up and down respectively. Theutricle and the saccule detect linear or translational motion, in the horizontal and vertical directions,respectively [3,4