studentsfor future software engineering courses. The two concepts are integrated developmentenvironment (IDE) and basic software testing. We observed the students’ progress and found thaton average students can program similar projects 80% faster after learning and using the twosoftware engineering concepts. 1. Introduction Introductory software programing is an important first-year course that brings students to thedoor step of the CS major, which we consider as a CS1 course based on the definition given in[1]. It is also a requisite course for many students majored in Science, Technology, Engineeringand Math (STEM). The majority of the curriculum of this course is to teach a specificprograming language without any introductory concepts of
goals for the optimal design include (but are not limited to) minimizing pressure loss to delivery points (faucet exits) and minimizing both the quantity of fresh (city) water coming into the residence hall and that exiting to the sewer. You have also been asked to develop a small model of a grey-water system as this is a technology that may be unfamiliar to certain stakeholders. Your goals for a 1/12th scale model are to best demonstrate the plumbing and equipment necessary to effectively implement grey-water recovery/reuse with a green roof and rain water capture. There are myriad sources of technical information about grey-water systems, rain water capture, and green roof installations available online and in trade
Colleagues” segment focuses on building teams,garnering support, and maintaining effective relationships with others. The “Making ChangeHappen on Campus” segment targets developing measurable objectives and assessment for theproject, building and implementing partnerships, identifying sources of support and resistance,and creating action plans for moving the project forward. Each day is organized into four ses-sions. Every session includes time for learning, practice, and feedback from facilitators and par-ticipants (Table 1). In addition to the day’s activities, participants create community throughevening activities that help individuals move along a path toward becoming journeyman changeagents
transitioning from a typicallecture-based approach to an experiential learning approach while describing associated benefitsrelated to engineering and technology student leadership outcomes.IntroductionIt is increasingly apparent that today’s engineering challenges require a higher order of thinking.The Accreditation Board for Engineering and Technology (ABET) states that engineeringprograms must demonstrate that their baccalaureate students attain certain outcomes forgraduation. A set of 11 student outcomes1 are described in General Criterion 3 that can bedivided into two primary categories: five “hard” technical skills and a second set of six“professional” or “soft” skills2 as indicated in Table 1 below.Table 1 - ABET General Criterion 3. Student
happen during professional practice. While not conclusive, this anecdotal evidencestrongly suggests that the engineering leadership development community must at least addressthe concern regarding assessing the long term potential effects of engineering leadershipdevelopment and if it really has any long term value.It should be noted that this long term effect is clearly differentiated in the survey from short-termeffects. When presented with assessment data of several engineering leadership programs thatwere presented at the 2013 ASEE Annual Conference [1-5], 42 of the 49 respondents indicatedthat there was sufficient data to indicate that key programmatic outcomes of leadershipdevelopment (including personal communication skills, development
not encourage creativity or innovation[1]. Innovation can bedefined as a new and valued product, process, or concept that has been introduced to the marketor society[2]. Engineering educators should better prepare students for careers in innovation. Indoing this, they must “undermine their students’ blind commitment to the engineering paradigm”[3] which is centered around the scientific approach to knowledge making. To accomplish thischallenge, the exploration of paradigms such as ones used in the schools of business,communications, and political science is suggested. Incorporating this exploration will allow theengineering and technology student to critically reflect on and debate the beliefs, practices, andvalues of their paradigms and
24.864.3The course is segmented into six weekly modules of five and ten video lectures per week. Videolectures are typically ten to twenty-five minutes in length. There are assessment activities foreach module to provide the students with opportunities to integrate and apply learnings. Theassessments are due weekly. The modules and lecture topics are listed in table 1.Table 1. Course Modules and Lecture Topics Page 24.864.4Lecture CreationThe creation and production of the MOOC lecture content was influenced by existing for-creditentrepreneurship and innovation courses taught on campus. An early challenge for the MOOCwas determining the right type and
numberbetween 1 and 5 that best represents your own beliefs about business. The class averagesare shown in bold and underlined. Strongly disagree Strongly agree 1. Financial gain is all that counts in business. 1 2 3 4 5 2. Ethical standards must be compromised 1 2 3 4 5 in business practices. 3. The more financially successful the business 1 2 3 4 5 person, the more unethical the behavior. 4. Moral values are irrelevant in business. 1 2 3 4 5 5. The business world has its
progressively elaborated (see Table 1).These definitions result in a sequential set of activities that have a beginning and an end. As such,when a project is completed, it is finished and is not repeated or duplicated.Classic example of a temporary, unique and progressively elaborated project is building a homeor constructing a factory or production unit. These projects have a beginning, an end with specificsteps. Also most of these are longer term projects which work against any type of improvement.PMI BoK emphasizes that different time frames, owners, etc. make projects unique and that “thepresence of repetitive elements does not change the fundamental uniqueness of a project’s work”(PMI BoK [section 1.2.1]). Examples given to prove this point
, American Society for Engineering Education” Future Value Net Present Value = − Investment (1) 1 + Interest RateWhen the valuation involves more than a year, the following equation is used: n E (CF )TNet Present Value = ∑ −I (2) T =0 (1 + r )TWhere E(CF)T are the expected future cash flows, discounted at the market risk rate r. T is thenumber of years and I is the initial investment or cost of the project.This method is simple, but has to be carefully used. Risky cash flows have to be
discussed the changes that would make them feel more welcome and includedwithin academia and their department(s) (cultural and/or infrastructural changes). They alsoprovided advice and recommendations to future queer and trans graduate students. The panelreceived overwhelmingly positive feedback, and the audience expressed their willingness andenthusiasm to learn and support queer and trans graduate students. Overall, the lessons learnedfrom the Queer and Trans Graduate Students Panel are as follows: 1) Provided an opportunity to inform about the specific obstacles that many queer and trans students experience in graduate education. 2) Contributed to the knowledge of designing, facilitating, and conducting a student experiences
2020 the National Academy of Scienceschallenged educators with a goal it stated “to reengineer engineering education” [1]. Thatreengineering involves asking the questions: “How can we make our processes more effective,more quality conscious, more flexible, simpler, and less expensive?” [1] One potential approachto making our processes more flexible and less expensive is by satisfying multiple requirementsof the ABET general criterion 7 for facilities with a single space. Criterion 7 states, “Classrooms,offices, laboratories, and associated equipment must be adequate to support attainment of studentoutcomes and to provide an atmosphere conducive to learning [2].” Educating the Engineer of2020 states, “Although its form may change from one
battlegroup [1].Earlier, a young firecontrolman assigned to the plotting room had fastened a video camcorder tothe bulkhead hoping to record the shore bombardment action. Little did he know that he wouldcapture forty of the most harrowing minutes experienced by the ship during the war. Theresulting footage showed sailors responding to multiple Iraqi missile attacks as well as asuspected chemical attack.Thankfully, there was no serious harm to the ship or its personnel. One of the missiles fell intothe sea, missing its target. Another was destroyed by the HMS Gloucester, a British destroyerescorting the Missouri, in the first ever documented ship-to-missile engagement during combat atsea. The chemical alarm that initiated the use of gas attack
. Finally, we pilot the forcebalance in an undergraduate mechanical engineering lab setting and find that students are able toexplore the setup, understand the load cell functionality, and use the system to measure drag on asphere. The force balance enables students to gain hands-on learning experience related to bothfluid mechanics and statics, and our user study shows that the force balance is durable throughclassroom use. The low cost, robustness, and high adaptability of the system makes it suitable forincorporating in multiple labs or for allowing student project teams to utilize the system in theirown experiments.1 IntroductionAccess to a wind tunnel enables students to gain real world experience with fluid dynamicsconcepts. This is
Mapping Systems (MMS) [1]With the recent update on world urbanization prospects [2] indicating that 55% of the globalpopulation resides in urban areas - a figure projected to reach 68% by 2050 - detailed spatialinformation becomes imperative for managing urban development. This necessity aligns with theconcept of smart cities, encompassing diverse definitions but ultimately referring to citiesequipped with intelligent services, extensive structural knowledge, and sustainability [3].MMS emerges as a valuable tool for acquiring spatial data within urban landscapes. Comprisinga set of sensors, these systems can collect data that represents 3D information from various urbanfeatures such as road signs, buildings, and facilities, as presented in
specifically, this paper answers the question: Which computer programminglanguage should be introduced first to novice programmers? The paper’s results are novel as theyprovide comparative insights into the viewpoints of faculty and peer mentors.Keywords: programming language, novice programmers, language choice, faculty perspective,students’ perspectiveIntroductionComputer programming is a fundamental skill for Science, Technology, Engineering, andMathematics (STEM) students for their future careers [1]. Particularly in engineering, noviceundergraduate students are often introduced to computer programming courses [2] in their firstor second years to develop computational thinking [3], problem-solving [4], [5] andmathematical modeling abilities [6
religiosity and serviceutilization among college students, with a particular focus on international undergraduateengineering students in the US. It seeks to answer several research questions: 1) What is theprevalence of mental health conditions and help-seeking among international engineeringundergraduates? 2) Are there gender differences in help-seeking among international engineeringundergraduates? 3) How do help-seeking (formal and informal) tendencies vary amongengineering undergraduates with different levels of religiosity?Design/Method: The study uses a logistic regression model to analyze data from engineeringundergraduate students participating in the Healthy Minds Study (HMS) for 2021-2022 toaddress research questions. The study considers
areas where its support may belimited. This information equips educators to make informed adjustments to their assessmentstrategies as needed.Keywords: ChatGPT, Natural Language Processing (NLP), OpenAI, Machine Learning (ML),Higher Education Institutions (HEIs).1. What is ChatGPT? In November 2022, ChatGPT was unveiled by OpenAI, an Artificial Intelligence (AI) researchlab, a non-profit organization dedicated to advancing digital intelligence for the collective benefitof humanity [1]. Positioned as a conversational AI interface, ChatGPT leverages natural languageprocessing (NLP) to engage in realistic conversations. ChatGPT is purposefully engineered toproduce text that emulates human conversation, constituting a significant leap forward in
rarely discussed in these courses. Furthermore, it is critical to look into how CE andCM students comprehend the relationships between social justice and our infrastructure systems,considering the increasing significance of these issues in our society. Comparing the awarenessof societal inequalities within resilient infrastructure systems between CE and CM students canhelp identify potential gaps in knowledge and understanding within these distinct disciplines.Therefore, this study aims to address the following research questions: (1) Which majors/groupbetween CE or CM students, demonstrates a greater awareness of societal inequalities withinresilient infrastructure systems? (2) Is there any relation between the understanding andawareness of
Transfer ShockAbstractIn this full student-led research paper, we investigate the social networks of both lateral andvertical engineering transfer students to determine how integrated they are at their currentinstitution, and how their social connectedness can affect the extent of their transfer shock.Transfer shock is a decrease in GPA that a transfer student might experience at their receivinginstitution and can affect student retention and likelihood of graduation. The research questionswe aim to answer are: 1) How do the social networks of lateral and vertical transfer studentsdiffer from one another? and 2) What is the correlation between a transfer student’s socialnetwork and their experience of transfer shock?To answer the research
stereotypes and perceptions retained by faculty and staff. Questions from thissurvey sought the level of agreement or disagreement regarding several known veteranstereotypes. Preliminary results from mixed model logistic analyses indicate that these biases orperceptions are active in non-veteran faculty and staff populations.1. BackgroundResearch on the student veteran educational experiences typically adopts an impoverishmentapproach to understanding student veteran deficits and challenges in the classroom [1]. Whilethis research posture is not malicious— it is empirically easier to study the absence of particularstudent behaviors or skills than student veteran educational and experiential assets—the result isliterature that focuses on effective
results.Logistical regression was used to evaluate the impact of academic majors.The results show that the most highly correlated variable was the Physical Fitness score of eachCadet. The article discusses different possible reasons for this relationship. Results also showmoderate to weak relationships between academic performance and any event at Cadet SummerTraining. These findings suggest that evaluations outside of a classroom environment could bemore effective at predicting future real-world success.KeywordsJob Preparation, Army, ROTC, Order of Merit List, Linear Regression, Logistic Regression 1. Introduction An age-old question is how to prepare students most effectively for post-graduation life. Inmost circumstances, it is difficult to
-division computernetworks course.IntroductionComputer Networks is an undergraduate course that is included in most curricula in thecomputing disciplines. It is listed as an element of computing knowledge 1 2 in the ACMrecommended curricula. It is usually the only course on the topic listed as a core course in mostprograms. The textbooks 3,4,5 are an indication of how broad and deep the topic is.In the last three academic years, the courses in the author’s department have had a failure rate of2%, which amounts to 16 students. These are students who would potentially be delayed in their4-year graduation timelines. Students who are underrepresented minorities have had a GPA gapof 0.28, higher than the historic average of 0.26. Active learning has
1 School of Engineering Education, Purdue University, West Lafayette, IN 2 School of Education, Iowa State University, Ames, IA 3 Nissen Education and Research Design, Monterey, CA 4 College of Education, Purdue University, West Lafayette, INAbstract Computerized Adaptive Testing (CAT) is a modern approach to educational technologythat can transform classroom assessment and self-assessment strategies. CAT selects questionsbased on ability, item difficulty, and item discrimination at the moment which significantly reducestesting time. So, by considering measurement error, CAT ensures
meaningful knowledge they constructed after course completion.Implications for this work include providing information to instructors on how students viewinnovative, problem-based work and the benefits to their development as novice engineers. Thisstudy also suggests that autoethnography can serve as a valuable research method in engineeringeducation, allowing for a direct examination of students’ own experiences and perceptions.IntroductionThe student perspective provides valuable insight that can be leveraged to improve engineeringcurriculum and retention rates. [1], [2], [3]. The engineering curriculum at the university levelserves to engage students in activities that meet university requirements, as well as satisfy theAccreditation Board for
achieved by the most diligent students, but roughly half ofthe student teams do not attain a successful design. There was a perception that no teamssucceeded by luck, but that success came through hard work and effective collaboration.IntroductionThe value of hands-on experimental laboratories for undergraduate engineering students is widelyrecognized [1–6]. The engineering laboratory has become a focal point for students to connectabstract concepts with hands-on practical investigations. Often, students find hands-on laboratoryexperiences to be of greater interest than lecture-based learning [2]. Educators observe them to beof critical importance for the development of professional self-identity among engineeringstudents, with calls being made
), and he currently serves as a member of the ASEE Data Collections Advisory Board, as well as a Peer Reviewer for the Higher Learning Commission (HLC) and for the OAAAQA Register of External Reviewers . Timothy has a PhD from Indiana State University in Technology Management with specialization in Quality Systems. ©American Society for Engineering Education, 2024 A Flipped Classroom setting trial in GIS course.1 IntroductionFlipped classes have gained increasing popularity in undergraduate civil engineering courses [1, 2] This teaching approach allowsstudents to actively participate in the learning activities while the instructors serve as facilitator assisting and
-efficacy, lack of engineering identity, and low perceived levels of careerpreparedness have all been shown to play a major role in the loss of potential engineers [1]-[3].One factor that may be contributing to this dilemma is that many engineering programs focus onteaching only technical knowledge rather than a combination of technical and professional skillsand empathetic design. Students in such programs are often left feeling unprepared to work in aprofessional business environment where they are tasked with creating effective solutions forreal customers [4]-[5]. To promote more confidence in engineering students and improvestudents’ success in engineering careers, many degree programs have explored the incorporationof entrepreneurial
motivated and had less anxiety with enhanced critical thinking.IntroductionEducators are saddled with the responsibility of ensuring every learning objective is met whilecreating an engaging student environment [1]. Educators must ensure that every experiment isdesigned with practical applications in mind and implemented in a safe environment. This aids theinstructors in facilitating critical thinking amongst the learners, ensuring that they can proffersolutions to essential questions. These guides and resources are models that support progressivelearning and peer-to-peer collaborations. Also, they can foster an inclusive learning atmosphereand encourage continuous improvement. Laboratory sessions are an integral part of the richlearning experience
offerings of ENG1002 with approximately 30 students per class.Questions exist as to why engineering students who complete Intro to Spatial Visualization at [Blinded University]attain higher average grades in their other courses, such as Calculus I and II, and Chemistry [1], and why theretention rate, especially of women, is higher historically for students who have taken Intro to Spatial Visualization[2]. One possible explanation is related to students’ feelings about and confidence in their abilities to gain the skillsthey know to be important to engineers and attain their goals (self-efficacy) of becoming an engineer afterovercoming the obstacle of failing an assessment of 3-D spatial visualization skills administered at the onset of