learning environment to learners.Students' performance is collected and compared to the performance of students beforeimprovement for the same course. Analysis shows that performance increased by 19.3%. And thenumber of students that score less than 70% or less in the final exam is reduced by 69.1%. Students'feedback is also collected, and results indicate that students are more engaged and delighted withthe learning experience.Introduction:Online education is growing in numbers, and universities are expanding their online courseofferings. Online courses are gaining popularity due to their flexibility and availability, but theyoften need more interactivity. One main challenge in such courses is maintaining students'engagement and motivation [1
behaviors: gestures and movement, facial behavior, eye behavior, etc.)during presentations. This study shows how OpenPose was repurposed with a Python program totrack and code novice speakers’ nonverbal behavior. Results demonstrate considerable practicalvalue for engineering students learning to establish baseline positions for managing nonverbalbehaviors.KeywordsPresentation Skills, Nonverbal Communication Skills, Public Speaking, Human Pose Estimation1. IntroductionResearch in the field of engineering found that communication should entail simplicity, results-oriented organizational structure, numerical evidence, and a focus on the object or visual andaway from the identity of the speaker [1], [2]. However, the loss of speaker identity in
Figure 1. The development board has theEFM8BB1 MCU, the ToolStick debugger which handles C2 communication to the hostcomputer through the USB Micro-B port, breakout headers, a reset push button, a user pushbutton, and a user LED. Each section of the board is called out in Figure 2. The board ispowered by the USB port. The students can purchase the EFM8BB1LCK development boardfrom several vendors such as DigiKey and Mouser. The initial MSRP in summer 2020 at thebeginning of the pandemic was $6.65 at Mouser with 58 in stock. The current MSRP is $18.53at Mouser with 151 in stock and $20.54 at DigiKey with 157 in stock. The software forcompiling the assembly or C code and subsequent emulation is available for free download onthe Silicon Labs website
structure that was used in this study is detailed in Figure 1. Figure 1: Planned training structure based on the scaffolding method. 3Format of the Training ProgramThe program covered two full days of training on various principles related to the topics and hands-on activities in a fluid mechanics laboratory on the university premises. Upon the development ofthe draft materials, DPH reviewed the content and provided feedback, which was addressed tomake the program more meaningful and beneficial to the participants. Recruitment of theparticipants was carried out by the DPH, and four cohorts were trained during the one-year timeperiod. The first training session was conducted on March 6-7
, BiodieselIntroductionExperiential learning such as Problem Based Learning (PBL) or a Course-embeddedUndergraduate Research Experience (CURE) provides an opportunity for students to explore andapply the scientific process [1]. Students co-create a research project that incorporates learningobjectives for the course including safe lab techniques and culturing microorganisms [2].Students practice science lab skills and utilize scientific creative thought processes in an open-ended research project. Typical undergraduate science labs learn concepts using delineated labactivities with known outcomes [3]. The process of authentic exploration and improvisationaltroubleshooting is typically not modeled in these types of labs. Although popular and effective inlearning basic
theirprofessional goals and employers find skilled individuals for their job vacancies. According tothe Association for Career and Technical Education, career readiness involves having academic,employability, and technical skills [1]. Academic skills include foundational academicknowledge in the respective study field, in English and math, applying academics to context, andconducting some data analysis, reasoning, and mathematical problems solving [1]. Employabilityskills focus on, current, critical to workplace abilities such as critical thinking, problem solving,adaptability, ethics, communication in different forms, teamwork, professionalism, andtechnology use while technical skills comprise of level of job specific knowledge [1]. TheNational
years. Bycontrast, a novel alternative paradigm is emerging through a partnership of five organizations: 1)the University of Florida’s Mechanical Engineering (UF ME) Capstone Design Program, 2) theGeorgia Institute of Technology’s Mechanical Engineering (GT ME) Capstone Design Program,3) the U.S. Army 3rd Infantry Division (3ID), 4) the Civil-Military Innovation Institute (CMI2),and 5) the U.S. Army Combat Capabilities Development Command (DEVCOM). This newapproach sources problems directly from Soldiers and engages university engineering students tohelp solve those problems with innovation cycles measured in weeks.The physical nexus for this collaboration is the Marne Innovation Center at Ft. Stewart, GA, whichcelebrated its grand opening in
learning objectives. The implementation of case studiesas well as the homework preparatory assignment and in class polling activities were designedbased on precedents from available literature. The American Society of Civil Engineers (ASCE)has long recognized the need for historic context in engineering education [1], [2]. Likewise,current educational best practices, often called “transformational teaching,” emphasize student-centered course design where the instructor bases the content on the knowledge gaps of thestudents [3]–[5]. To provide this level of customization of content to the students in the room,instructors must have tools for formative assessment [6]–[8]. The active learning techniquesemployed here include in class polling using
for engineering programs. This is a main premise uponwhich engineering and other ambassador programs have been established. One of the objectivesof these programs is to develop diverse leaders by equipping and empowering university students(the ambassadors) with advanced communication and leadership training, so that they may sharetheir passion and excitement about engineering and STEM with K-12 youth, the engineers oftomorrow [1], [2].There are several STEM ambassador programs in Georgia and beyond that have trained studentsto represent the university and college at on-campus events. The student ambassador program atthe University of Georgia is a program that has students who are trained and help promote thecollege of engineering at special
Storyline 360® for online instruction, hybrid classes, flipped-classroom environments, orother useful curricular applications.IntroductioneLearning has emerged as a powerful mode of delivery for a variety of educational purposes. Itallows for flexibility and scalability and can be incorporated into any engineering program’scurriculum. This modality was a global necessity during a difficult time in human history andwith it came significant challenges for faculty who were forced to determine the best approachfor course instruction to overcome technological and social issues within the classroom [1][2].With the mandate for eLearning being of the past, the tools explored for e-learning still havesignificant utility for online (even if temporarily
evolving tools and techniques. The objectiveof this paper was developing a specialized module within an Engineering ProjectManagement and Planning course, offering students insights into the versatile applicationsof AI and ML in project management. The module focuses on four primary learningobjectives. To achieve these objectives, we explored three key aspects of AI and ML inproject management: 1) Enhancing decision-making through AI and ML predictivecapabilities; 2) Optimizing resource allocation by automating report generation, virtualassistance, and automating communications; and 3) Mitigating project risks through earlydetection of positive, negative, or neutral data through using Natural Language Processing(NLP) as documents are reviewed. To
to the need for effective andfair tools for senior design project evaluation. For example, Estell and Hurtig [1] presentedevaluation rubrics for each stage of their senior capstone project. They designed one rubric forthe project proposal development, one rubric for prototype development and verification, andanother rubric for the final report. In reference [2], the author discussed an assessment methodthat required all project teams to prepare and maintain an electronic copy of a project binder thatincluded meeting minutes, copies of presentations, design specifications, project plans, designreviews, engineering reports, design output such as drawings, test reports, and analyses. Theystated that their project assessment was based on the
course, as a gateway engineering course, is typically taken by engineeringstudents in their first year. It covers freehand sketching of 2D and 3D representation of objectsand basic CAD modeling techniques. Many students, especially students identifying as womanor gender minorities and those who are socioeconomically disadvantaged, tend to struggle in thiscourse because their current educational approaches on spatial skills have not been designed forstudents with diverse backgrounds and perspectives[1] . For instance, women and genderminorities may have different experiences and perspectives that are not addressed by standardone-size-fits-all teaching methods. Female students and students from socioeconomically © American
., did the project outcome meet the client’s objectives?) and student satisfaction with thecapstone experience. Many factors contribute to the project’s success and student satisfaction,sometimes in complementary ways, and at other times, in contradictory ways. Some of thesefactors include: balancing students’ project interests, desire to work with specific students,personalities; and instructor/institutional project priority. The net result for instructors toappropriately balance all these inputs is a very time-consuming team formation process.Instructors have used various techniques and subsequent combinations to guide the capstoneteam formation process. Based on a 2015 survey [1] of 256 institutions with a capstone coursethat included various
projects and the ASCE student chapter. His research interests include engineering licensure policies, civil engineering curriculum development, and the use of innovative materials on concrete bridges. ©American Society for Engineering Education, 2024 Benefits of a Decade Dedicated to FE PreparationAbstractA decade ago the authors at the Virginia Military Institute (VMI) reported on how the addition ofan engineering course dedicated to preparing students for the Civil Specific Fundamentals ofEngineering Exam (FE) enhanced the capstone experience [1]. Preliminary results indicated thatthe course, which did not specially teach to the FE exam but covered an array of topics, didimprove pass rates and
reflection andaction. Engineering ethics pedagogy has a role in building and maintaining that ethical culture ofprofessional engineering.References1 Hoffman, Reid, and Chris Yeh. Blitzscaling: The lightning-fast path to building massively valuable companies. Currency, 2018.2 Zaoui, Fadwa, and Nissrine Souissi. "Roadmap for digital transformation: A literature review." Procedia Computer Science 175 (2020): 621-628.3 Tabrizi, Behnam, Ed Lam, Kirk Girard, and Vernon Irvin. "Digital transformation is not about technology." Harvard business review 13, no. March (2019): 1-6.4 Benavides, Lina María Castro, Johnny Alexander Tamayo Arias, Martin Dario Arango Serna, John William Branch Bedoya, and Daniel Burgos. "Digital
laid the foundation to work on advancing educational technologies and pedagogical inter- ventions. ©American Society for Engineering Education, 2024 1 A TensorFlow-Powered Visual Speech Recognition Model for Improving Educational Accessibility Abstract Speech Recognition is a widely practiced technology and has many applications in the academic domain and beyond. In educational research, AI-based speech recognition serves different purposes such as analysis of students’ team discussions
such as discussion,debate, and guided practice post-pandemic [1].Bashir et al. investigated how students experienced remote learning during the lockdown, with aparticular emphasis on the effects on their mental health and overall quality of life. The studyshows that most students had positive experiences with remote learning, but the shift to remotelearning revealed conflicting preferences, with students expressing a desire for more interactivelectures but only half feeling comfortable using video cameras for interaction [2].Transitioning to online instruction during the COVID-19 pandemic was challenging for thelaboratory course, as it typically requires students to meet in person to conduct experiments andcollect data. In recent years, there
represented the overall interest of all the participating students. The students fillingout the form were 38 out of a total of 46 or 82.6%. The breakdown of students who stated theirpreferred topics was 17 (85%) from HBCU, 9 (100%) from high school, and 12 (70.6%) fromPWI. Over 90% of the students who filled out the form got one of their top three choices. Seetable 1 below for more information on topics and student choices. In the end, those not chosenwere Drone Use and Global Justice, AI and Written Papers ChatGPT, and Flint Michigan Water. Table 1: Ethics Case Study Topics % Student Choices No. Topic
Thermodynamics classes, as well as a senior level lab class that covers both thermal/fluid and mechanical systems. One of the thermal/fluid labs examines a steam generation powerunit called the RankineCycler™, which is produced by Turbine Technologies.1 This particularlab is used by several engineering programs throughout the country, and has been evaluated byGerhardt et. al. quite extensively.2-4 The focus of this lab is to provide students the opportunity toapply several of the topics covered in the Thermodynamics classes to an actual power producingsystem. These topics include: 1) Plotting a T-S curve for a cycle 2) Calculating the isentropicand second law efficiency of a steam turbine 3) Calculating the 1st law efficiency of a powerplant.While this
exercises are resource intensive, time consuming, challengingto deploy and difficult to process the results. The survey instrument is intended to address severalof these challenges. To develop the survey instrument, the Shah-Vargas (SV) metrics ofengineering ideation effectiveness were used as a basis for quantifying engineering Design SpaceExploration (DSE). These metrics are 1) Quantity – the number of ideas generated, 2) Quality –the conformance of each idea to engineering requirements, 3) Variety – the dissimilarity of anidea within an individual’s set of generated ideas, and 4) Novelty – the dissimilarity of an ideawithin the collectively exhaustive set of ideas.With these metrics as a guide, an initial list of statements was developed using
case-based activities.Introduction and Literature ReviewThere is an increasing volume of academic publications addressing the need to understand thedifferences between STEM (Science, Technology, Engineering, and Mathematics) and non-STEM students learning in inquiry-based courses [1]. Such studies help researchers andpractitioners create a meaningful learning experience for students across various disciplineswhere metacognitive skills (self-regulation) are required as part of the workforce.A significant contrast exists in the teaching and learning approaches used in STEM educationcompared to non-STEM disciplines and in the activities in which students are involved. STEMstudents often participate in hands-on projects designed to help them
and $300. If true testing isto be performed, then multiple units of these sensors will be needed which can increase the costsignificantly.The multidisciplinary two-semester design-and-build project was successful in simulatingmultiple real-world scenarios. It allowed students to discover aspects of engineering that go wellbeyond a textbook. None of the logistical challenges identified are too big to solve. Such projectswill continue to be implemented in the engineering curriculum at FMU.1. Introduction/BackgroundFrancis Marion University (FMU) is a liberal arts, Primarily Undergraduate Institution (PUI)with an enrollment of 3,752 (about 90% undergraduate students) as of Fall 2022. As of Fall2021, about 40% of the undergraduate population
, accessibilityIntroductionService learning provides students with an opportunity to apply the skills they are learning at auniversity to a real-world, hands-on community problem. Within engineering education, servicelearning can provide students with the “softer” skills such as teamwork, social awareness, andglobal impact of engineering deemed necessary by Engineering Criteria 2000 established byAccreditation Board for Engineering and Technology (ABET) [1]. According to Oakes, to bemost effective, service learning should not be an add-on volunteer experience to the curriculum,but rather an integrated experience that complements and enhances the curriculum [2]. There arefour characteristics of service learning: service, the academic connection, reciprocal partnerships,and
Paper ID #41029Exploring the Impact of CM-II Meditation on Stress Levels in CollegeStudents through HRV AnalysisMr. Sreekanth Gopi, Kennesaw State University Over the years I have developed professionally into an aspiring Data Scientist, Machine Learning En- gineer, and seasoned Artificial Intelligence Researcher. Currently, I am in the process of publishing a few papers on stress reduction and improving student performance. More: Education: BE in Mechanical Engineering MBA in Information Technology MS in Computer Science (IP) Research interests: 1. Meditation 2. Music 3. AI Hackathons: 1. INTEL AI Hackathon FIRST
tackled key programming topics, including variables, arrays, logic andbranching, loops, functions, and flowcharts, all while working towards the creation of theirMorse code machine. By contextualizing these programming concepts within a real-worldapplication, students were motivated to explore beyond their comfort zones and leverage CTskills to develop creative solutions.IntroductionAs the world becomes more digitalized, new generations of engineers will be required to have adeep understanding of computer programming and its design process. Computational Thinking isthe cognitive process that underlies programming, emphasizing problem-solving methodologiesessential for effective algorithmic design and implementation [1]. It involves breaking
significant increase in cyber threatswithin the K-12 sector. There were 408 cybersecurity incidents reported publicly during COVID-19 in 2020, thus demonstrating a need for cybersecurity education. In addition to this vision, thehope to fill the national cyber workforce gap is desired.The National Institute of Standards Technology (NIST) 3 framework, National Initiative forCybersecurity Education (NICE)4 details specific cyber education and training as well asdeveloping cybersecurity workforces. Recently, the Biden-Harris administration released theNational Cyber Workforce and Education Strategy (NCWES)5. This national strategy’s approachstates: 1. Equip Americans with cybersecurity skills. 2. Transform cybersecurity education. 3. Expand
, study abroad pedagogy, facultydevelopment, and effective international community partnerships. Program evaluation includes aholistic assessment of the academic, service, and personal reflection aspects of the program. Thisevaluation specifically examines program effectiveness in aspects of program preparedness,global competency, and knowledge transfer.MethodologyThis study utilized a pre- and post-program survey format designed to examine the effectivenessin (1) program preparedness, (2) global competency, and (3) knowledge transfer of students whoparticipated in the MOM program. The pre- and post- program surveys were developed usingquestions from a validated instrument, the PISA Global Competence Framework, published by
, abilities, and interests of each student(see Table 1). This approach, as expounded in Tetzlaff et al. [1] dynamic framework, emphasizesadapting educational content, pace, and methodologies to individual learners. It marks adeparture from traditional, uniform educational models, aiming to provide more nuanced andeffective instruction that resonates with each student's learning style and pace. In the context ofeducational equity, Dumont and Ready [2] explore the promise of personalized learning. Theirresearch suggests that such tailored educational approaches could play a crucial role in bridginggaps in educational outcomes among diverse student populations. By acknowledging andaddressing the varying backgrounds, skills, and learning wants of
PMBOK ®Guide – Seventh Edition, a case study, a homework assignment, and an exam essay question. Themodule can be modified for a graduate-level course.KeywordsProject Management Principles, Project Engineers, Non-Technical Skills, Project Management.IntroductionThe purpose of this module is to improve the content of Week 14 of a 15-week PMGT 401Project Management Career Skills course offered at The Citadel Military College, in Charleston,South Carolina. The PMBOK ® Guide – Seventh Edition includes The Standard for ProjectManagement which identifies the 12 project management principles that guide the behaviors ofproject practitioners, which includes project engineers, across all industries and varyingorganizational sizes [1]. The guiding