Fundamentals 1 Pump 201 Advanced Pump Fundamentals 2 • Past Subjects, Undergraduate IDIS 303 Mechanical Power Transmission IDIS 403 Fluid Power Technol- ogy IDIS 281 Manufacturing Processes ENTC 206 Non-Metallic Materials ENTC 429 Managing People and Projects Research Interests: Strategic business development, Product innovation, Entrepreneurship in Engineer- ing, Project management, Fluid Power Technologies, Mechanical Power Transmission, Condition based monitoring and Reliability. BIOGRAPHICAL DATA Name: Michael R. Golla Department: Engineering Technology and Industrial Distribution, Manufacturing and Mechanical Engineering Technology Program Date hired or assigned to department: 2002 Number of years of service to
participants. It discusses the different types of cybersecuritycompetitions and provides examples of college student-targeted competitions of each type. Thevalue of these team activities is considered and student outcomes from them are discussed. Thepaper presents a discussion of ongoing activities to assess the value of cybersecurity teamparticipation.1. IntroductionThis research paper considers the educational value of cybersecurity competition teams to theirstudent participants. There several types of cybersecurity competitions including red team / blueteam events, blue team events and capture the flag style events. In the first (red team / blueteam) teams attack (red team) and defend against (blue team) the other team’s attacks in a directteam-to
Association of Fire Fighters (IAFF), the injuries rate in the fireservice is four times greater than in private industry, with almost a third of firefightingpopulation being injured in the line of duty [1]. Due to the combined physiological andpsychological demands of firefighting, firefighters must go through extensive training whichtypically takes place in a physical environment “classroom’’ with the implementation of thestandard operating guidelines taking place during live - fire training scenes [2]. These scenesrequire tremendous efforts and assets including training personnel, specialized training facilitiesand carefully planned live - fire scenes, as well as new training models for each single trainingactivity [2]. There is a claim that the
four combinations of the strongest perceptual andordering ability in each individual:1. Concrete Sequential (CS)2. Abstract Random (AR)3. Abstract Sequential (AS)4. Concrete Random (CR) Milton D. Cox, Anthony Grasha and Laurie Richlin had a Town Meeting in March 1997at the Lilly Atlantic Regional Conference. Here they discussed the important differencesbetween a Teaching Model and a Learning Model. This knowledge is extremely important whilestudying the impact and importance of Gregorc Style Delineators. The author has tried toexamine and analyze Gregorc Style Delineators based on the Learning Model in one of hiscourses and has obtained feedback data. In this presentation, he presents an analysis of his dataand tries to draw
job and/or family reasons, enhanced opportunities to take courses on the criticalpath (prerequisite structures) to graduation, and ability to maintain academic continuity duringemergencies such as pandemics. Online courses that include programmed delivery ofinstruction can provide immediate individualized responses and feedback to the learners [1]. Inseveral studies conducted in different environments, online learning has been shown to be atleast as effective as, or in some cases modestly better than conventional classroom education interms of learning outcomes [2, 3]. A few studies observed that classroom discussions can beintimidating due to peer pressure, and the quality and quantity of interaction may be improvedin the online format [4, 5
complex problems.Moreover, metacognition increases individual and team performance and can lead to more originalideas. This study discusses the assessment of metacognitive skills in engineering students byhaving the students participate in hands-on and virtual reality activities related to design andmanufacturing. The study is guided by two research questions: (1) do the proposed activities affectstudents’ metacognition in terms of monitoring, awareness, planning, self-checking, or strategyselection, and (2) are there other components of metacognition that are affected by the design andmanufacturing activities? The hypothesis is that the participation in the proposed activities willimprove problem-solving skills and metacognitive awareness of the
scripts over three weeks, and scripts were auto-graded using MATLAB grader. 1 Figure 1. Histogram showing individual student grades in statics programming assignment. N = 237.Overall, students generally did well in the programming assignment. However, as can be seen in Figure 1,roughly 10% of students did not pass the lab, scoring a ‘D’ (70%) or lower. We are interested in whysome students struggled with the lab while others succeeded. In this paper we conduct statistical analysesto answer the following research questions:Is there a relationship between students’ grades on the programming assignment and their RQ1. Gender? RQ2
toreflect using the SPICE simulation environment, including consideration of How can I use thisexperience to improve in the future?2. Methods2.1 Quiz and Reflection Using SimulationHomework assignments, quizzes, and exams structured in a similar manner to the example ofFigure 1 were administered regularly throughout the course. In this paper, in addition to the pre-survey responses, we also examined results from the first quiz. The initial quiz taken by thestudents consisted of 10 questions based on pre-requisite material for the course (linear circuittheory). The quiz problems were adapted from sample problems from the National Council ofExaminers for Engineering and Surveying (NCEES) Professional Engineer licensure exam forelectrical engineers
reliable ethicalpractices. Engineering ethics is defined as: “(1) the study of moral issues and decisionsconfronting individuals and organizations involved in engineering and (2) the study of relatedquestions about moral conduct, character, policies, and relations of people and corporationsinvolved in technological activity” [1]. Engineering ethics has been increasingly emphasized inengineering curricula. The Accreditation Board of Engineering and Technology (ABET) hasspecific student outcomes related to ethical considerations. Despite the need for ethical decision-making among the undergraduate civil engineers, incorporating ethics into the curriculum hasnot been an easy task.In some academic institutions, ethics courses could be offered by a non
mutual benefit, strongly overlapping with empirical antecedents of highereducation retention and seminal social psychological frameworks. Therefore, the author began anintended extensive analysis of consecutive semesters. All students enrolled in the Fall 2019introductory game development course (n=56 for students with matched data sets, 59 retainedparticipant students total) were engaged in cooperatively-designed lectures and lab activities,with the first half of the semester’s lighter collaborative activity and independent assigned workto be compared to the second half’s full-time group project work. Between these designedhalves, two null hypotheses were assessed: 1) lab attendance in the first half of the semester isequivalent to the second
better understand and remember information. This is due to thereason that our brain is an image processor and most of our sensory cortex is used for vision.Words are abstract and sometimes challenging to explain an object based on its size, location,shape or relation to other objects [1]. However, three-dimensional thinking uses our ability toillustrate an idea, location or object. It allows us to rapidly and easily visualize an experience andrecall all the fine details involved. It is proven that various types of visual tools can be effectivein learning [2], [3]. For young students, visual information helps them to comprehend and recall information withease and efficiency. Using AR application for education can also help students learn the
mathematics (STEM) workforce pipeline is facingmultiple challenges. The first challenge is the relatively lower academic performance of USstudents in comparison to the other 35 countries of the Organization of Economic Cooperationand Development (OECD) as evidenced by the data of the Program for International StudentAssessment (PISA). According to the 2018 assessment PISA [1] which measured themathematics, science and reading skills of 15-year old students from almost 80 countries, theaverage score of US students in science was lower than six of the 36 countries OECD. Theperformance of US students in math literacy is even more concerning. The average score of USstudents in math was lower than the average math score of students from all the OECD
self-driving car, also known as an autonomousvehicle (AV), connected and autonomous vehicle (CAV), driverless car, robo-car, or robotic caris a vehicle that is capable of sensing its environment and moving safely with little or no humaninput [1, 2, 3, 4].” “Self-driving cars combine a variety of sensors to perceive their surroundings,such as radar, lidar, sonar, GPS, odometry and inertial measurement units [1]. Advanced controlsystems interpret sensory information to identify appropriate navigation paths, as well asobstacles and relevant signage [5, 6, 7].” It can be said that autonomous vehicles are complexembedded devices.The area of autonomous vehicles goes back to at least the 1920s where the first radio-controlledvehicles were designed
analysis of these cards suggests that the workshop is effective atimproving faculty and staff comfort using the makerspace, expanding faculty adoption of EML/PBL, and, ultimately, benefiting students by encouraging adoption of more effective andengaging educational practices.IntroductionEngineering students benefit from active, collaborative, and problem-based learning (PBL)experiences (1–3). The proliferation of campus Makerspaces creates broader possibilities foractive learning as well as cultivation of life-long learning, design-thinking, and other benefitsassociated with “making”(4–6). Campus Makerspaces generally seek to support the scholarly,educational, and social missions of their home institutions, but their adoption for coursework isnot
, such as a sophomore-levelproject-based course that provides the foundation for successful teamwork, professional ethics,design processes, and professional formation as a civil engineer. Project materials for this courseare provided by industry partners (e.g., data, plans, construction estimates, stakeholder input andfeedback), which are being developed into project case studies that can be integrated horizontallyand vertically into coursework to showcase how a component analysis fits within a largersystem. (See related paper being presented at this conference [1].) Cultural transformationincludes flexible departmental structures, for example replacing the current structure oforganizing faculty around sub-disciplines and instead organizing
, alongside the technical skills necessary to thrive within the currentglobal workplace [1]. Developing and instructing engineering students to be experienced in theabove-mentioned qualities and also thrive within the biomedical field is a daunting task requiringa creative solution. One successful solution is business integrated teaching and learningtechniques where engineering students team with medical professionals to experienceshortcomings faced by doctors, nurses, and healthcare providers [2]. However, this modelrequires engineering students to have access to hospitals or clinics with willing practitioners toact as mentors, and not all Higher Education Institutions (HEI) offering degrees in biomedicalengineering have this type of
exams. The flipped and mixed courseswere associated with greater improvement for DEW rates, in comparison to the traditionallecture course. Additional data analysis may provide further insight into how specific flippeddelivery components, such as video lectures, impact student achievement.IntroductionThis work-in-progress paper reports on the effects of alternative course delivery and instructionalmethods in three engineering classrooms. Flipped and alternative classroom models have gainedin popularity in recent years and while the engineering classrooms in higher education havelagged behind their non-STEM colleagues in this process, the trend has continued to gaintraction over the last decade [1]. Adoption of alternative course models is due
questions to improve clarityand discriminatory power. We administered the revised version in two contexts: (1) again as partof the first exam in the winter 2019 Statics course at WCC, and (2) as an extra credit opportunityfor statics students at Utah State University. This paper includes sample questions from theassessment to illustrate the approach. The full assessment is available to interested instructorsand researchers through an online tool.IntroductionIn teaching mechanics, we use multiple representations of vectors to explain concepts andanalysis techniques to students. These representations include pictorials, diagrams, symbols,numbers and narrative language. Figure 1 illustrates examples of each type of representation fora typical statics
will normally agree that ethics are importantand can select the correct answer for simple ESI questions. But what do engineering andcomputing students quickly draw to mind in relation to ESI? To explore this, students were askedto respond to two open-ended survey questions: (1) How do you view your role in society as anengineer or computer scientist? (2) List the ethical issues that you think are relevant to engineersand/or computer scientists. It was of interest to determine if student responses would vary fromthe beginning to the end of a term or across 15 settings where instructors had integrated contentand learning goals pertaining to ESI (ranging from first-year introductory courses to coursesfully focused on ethics at different
and problem sets that can be inserted into core classes in thesophomore and junior year. The goals of the initiative include increasing student engagement andacademic motivation, encouraging students to proactively think about potential career paths, andproviding opportunities for industry partners to meaningfully engage with students outside of anevent setting.The current effort was inspired by a combination of interested, engaged alumni and assessmentdata showing that students’ level of interest in their coursework increased dramatically as theyprogressed through the curriculum. Figure 1 below is drawn from the department’s senior surveydata [1] and shows graduates’ average reported interest in their classes for each year of thecurriculum
in first-year largeenrollment courses, including managing high quality assessment within time constraints, andpromoting effective study strategies. This paper presents two studies: 1) using the CATSinstrument to validate multiple-choice format exams for classroom assessment, and 2) using theCATS instrument as a measure of metacognitive growth over time. The first study focused onvalidation of instructor generated multiple choice exams because they are easier to administer,grade, and return for timely feedback, especially for large enrollment classes. The limitation ofmultiple choice exams, however, is that it is very difficult to construct questions to measurehigher order content knowledge beyond recalling facts. A correlational study was
approach might help overcome thosechallenges. This study compared the blended learning format to a traditional lecture format. Thelevers used for comparison were: 1) amount of content covered, 2) student performance onexams, and 3) student satisfaction in terms of perceived learning in new format. Details of theprocess, changes in the structure of the class, and motivations behind driving this change arepresented. Student feedback on the changed format was collected by way of a survey. The surveyresponses along with a comparison of the student exam performances are also presented. Basedon the student feedback and established research findings [13], some changes to the contentadapted for blended format are already under way. The instructor feels
, quiz-taking students migrated to one side of the laboratory, which allowed the instructor tohelp the non-quiz taking students. Table 1 shows the weightings for the two options. Thecourse’s studio format allows instructors to give two finals (on different days), which we label asthe “lab” and “lecture” finals. The two-hour lab final exam contains approximately 30 short-answer questions while the three-hour lecture final exam contains seven design-type problems. Weighting Assessment Item Quiz No-Quiz Quizzes 22.5% n/a Lab Reports 20.0% 22.5
Improving students’ conceptual understanding of arch construction and behavior using physical models of masonry arches in a classroom exerciseIntroductionThe best works of structural engineering strive to find balance among efficiency (the best use ofnatural resources), economy (the best use of public funds), and elegance (a measure of aestheticquality or cultural significance) – all under the umbrella of safety and serviceability [1]. DavidBillington, a long-time Professor at Princeton University, bestowed an honorarium on structuresthat demonstrated this balance, structures that embodied what he called the three ideals ofStructural Art: Scientific, Social, and Symbolic [1]. In Perspectives on the Evolution
improvements that instructors can use to give their students morefailure opportunities during PBL.1 IntroductionABET’s Criterion 5 requires engineering programs to provide all undergraduate students a majordesign experience that entails technical knowledge and skills acquired through the curriculum andincorporates realistic standards and constraints. The major design experience mentioned in thecriterion is an example of project-based learning (PBL): the theory and practice of using real-worldprojects that have time restrictions to achieve specific objectives and to facilitate individual andcollective learning [1]. PBL is a learner-centered approach that allows students to engage with anill-defined project to promote research, teamwork, critical
Development (RC&D), Inc. It is endorsed byASCE's Structural Engineering Institute (SEI), and is financially sponsored by Bell StructuralSolutions in Minnesota. The objectives are: "to promote interest in the use of wood as acompetitive bridge construction material, to generate innovative and cost-effective timber bridgedesign techniques, and to develop an appreciation of the engineering capabilities of wood" [1].Student chapters of ASCE and Forest Products Society (FPS) in the United States and Canadaare eligible to compete. Participating teams are required to submit applications electronically ona CD, which contain a series of digital photos taken during construction and testing, bridgeconstruction drawings, and a PowerPoint presentation. More
teaching andlearning (SoTL). And it was used in a University course - EE 263: Digital Logic Design. Thecourse evaluation showed that with new feedback method, the evaluation measurement for overallperformance of instructors increases by 11.3%. Regarding to course policies, useful feedback,course comparison, examinations and assignments, difficult concepts, and online materials, theevaluation measurement increases respectively by 10%, 10%, 6%, 15%, 8%, and 6%.1. IntroductionThe current practice on feedback in Universities is that students provide feedback to theirinstructors in the mid-term or final-term of the course, that are primarily unidirectional. While thisapproach may partly improve the teaching and learning, but sometimes, it will produce
curriculum relative to satisfyingABET program accreditation requirements, introducing students to less-familiar topics that areessential to professional success, placing the students’ education and learning within theframework of professional practice, and otherwise helping prepare civil engineering students fortheir professional careers.IntroductionOrigins of the CE 4200 Course This paper describes experiences, assessments, and observations in curriculum design andinstruction that formally implemented the ASCE Civil Engineering Body of Knowledge(CEBOK) [1, 2, 3] within the Civil Engineering (CE) undergraduate program of study at TexasTech University. This was done through CE 4200, “Professional Engineering Practice Issues,” arequired 2
without the knowledge, skills, and confidence required forengineering design success. With these shortcomings in mind, we integrated design experiencesacross our BME curriculum and evaluated student design performance throughout.Methods: Four engineering design project assignments were developed and integrated intosophomore- and junior-level BME laboratory courses, establishing a continuous design thread inthe curriculum. Through the sequence of projects, student teams worked to design (1) fracturefixation plates, (2) electromyogram-controlled motor systems, (3) compact spectrophotometers,and (4) drug dosing devices. We also developed a common instructional Design Module andused it in each course to build student understanding of the BME design
incorporating the web tools.Relevant student surveys and course assessments for the last two offerings of the course by theauthor will also be included.1.0 IntroductionA traditional first course for engineering students in thermodynamics typically covers the materialselected from the first 8-10 chapters of popular textbooks in the subject [1-3]. The author of thispaper has continued to use the text by Moran et al.[1] over most of the last decade for thethermodynamics course that he offers. Like other textbooks for engineering thermodynamics, itcovers the basic thermodynamic analyses related to first and second laws of thermodynamics forselected open and closed systems undergoing thermodynamic cycles and constituent processesrelevant to engineering