considered the next stepforward to providing personalized, inclusive and accurate responses that address each student’squestions in an engaging and efficient manner. This information could pertain to course materialsand helping as a course tutor [5] or providing insight on university-specific knowledge, rangingfrom administrative procedures and scholarship opportunities to faculty research areas and campuslife insights.Institutional Support and Other NeedsThis project was initiated by the Department Head of Computer Science & Engineering, who wasworking with faculty in his home department and in the School of Chemical Engineering. TheirPredictive Analytics and Technology Integration Laboratory (PATENT) aims to accelerateadvances in several
instruction. Excellent teaching style, course organization, and commitment to expectations of adult learning applied to real world problems. 3 We’ve done many project assignments related to every topic in environmental engineering like air pollution, water pollution, etc., so this is a strong benefit and aspect of the course for students. 4 Without getting into the weeds of computer models, this course teaches us a great overall understanding of the fundamentals of modeling and the key elements. I never felt like we got bogged down with the non-material problems, such as learning programs or
safeguards to protect the privacy of medical records aswell as other identifiable health information. However, that information needs to be utilized by thesystem and be readily accessible. It is desirable that the underlying NLP models do not expose theprivate information contained in the training data. However, de-identification methods even whenapplied correctly yield data that sometimes retains the risks of identification [13]. Because mostITSs have not been geared towards patients, privacy of the models and user data has not been amajor concern, therefore the research gap we intend to address is that of maintaining privacy whilemaintaining accuracy and low latency during NLP model training that may be computationallyintensive.2 Project
flipping portions of the course to increase time forPSS and other active learning opportunities (current semester, data collection incomplete). Thissolution is more accessible to instructors given the time investment required to completely flip acourse.Our overall project goal is to determine effects of our instructional design changes on what andhow students learn in the course. This Work in Progress paper addresses two initial researchquestions: RQ1. Does student learning increase over the semester, regardless of class type? RQ2.Does the class type (PSS or no PSS) affect concept inventory scores in this course?MethodsDescription of the courseContent in the course is typical of similar introductory engineering cell and molecularphysiology courses
Education, 2024 Building Interest in Technology Careers for High School StudentsIntroductionThe goal of the Building Career Interest in Computer Science through Advanced Real-WorldProjects (CICSTART) Program, funded by the National Science Foundation AdvancedTechnological Education (NSF ATE) program, is to provide additional professional andtechnical skills lessons to cohorts of high school students through a Saturday Program. Theprogram utilizes industry-driven, project-based learning (PBL) and lessons in career and collegereadiness to prepare students for the technician workforce. Each student session consists of fiveconsecutive Saturdays and is taught by a team of high school teachers, community collegefaculty, and instructors with
tounderstand the current state of the application as well as future research needs to achieve the goalof a DT and AI in AM. This study aims to give an overview of the state of the art and identifythe topics research needs to investigate by applying the method of a systematic review.Overview of Federal GrantThis work refers to a federal grant awarded to the University. This project was proposed todevelop campus wide advanced manufacturing center of excellence. The key objectives of theproject were: 1) to study the process of AI and DT adoption in metal additive manufacturingdomain and learn some manufacturing parameters as being monitored by AI/DT; 2) increase thenumber of technicians with the skills necessary for an immediate contribution to the
a Professor and Chair of the Department of Engineering Technology, Austin Peay State University, Clarksville, Tennessee. His education includes two Master of Science degrees in Electrical and Computer Engineering and Electronics and Control Engineering. He has been actively involved in higher education leadership in various capacities as a Dean, Department Chair, PI, Project Director, and a faculty member since 1997. He has served as the PI / Project Director for multiple agencies including NSF, DOL, DOD, and Perkin’s Grant. His research interests include Industrial Automation Systems, VLSI, ASIC, and FPGA. Other areas of interest are Active Learning, Innovative Pedagogy, Higher Education Leadership and
, specializing in digital technologies and control systems. She received her B.S. degree in Mechanical Engineering from Beirut Arab University (BAU) in 2019 and her M.E. degree in Mechanical Engineering from the American University of Beirut (AUB) in 2021, specializing in Robust Control. Israa is a Research Assistant on the National Science Foundation-funded Project ”Research Initiation: Developing Spatial Visualization and Understanding of Complex Systems via Interactive Mixed Reality Modules”. Israa leads research endeavors focusing on improving cognitive skills through extended reality (XR). Additionally, Israa’s contributions extend to integrating control system analysis and design into XR, where she has developed and
has mentored dozens of graduate and undergraduate students in research and K-12 outreach activities and is the Director of the Excellence in Computing and Information Technology Education (ExCITE) program. She is a fellow of the Center for the Advancement of STEM Leadership Program (CASL) and the Opportunities for Under-Represented Scholars (OURS) post-graduate institutional leadership certificate program and an alumna of the Frontiers of Engineering Education program (FOEE) of the National Academy of Engineering. She has been serving on the Project Kaleidoscope (PKAL) Capital Area Regional Network steering committee since 2016.Rui Kang Rui Kang is Professor of Secondary Education (6-12) of Georgia College &
context of numericalanalysis and design tasks [6], [7]. These studies highlight the significance of these psychologicalfactors in shaping students' academic performance and learning outcomes in the field ofmechanical engineering [2][4].Several strategies could be employed to improve self-efficacy and motivation in MechanicalEngineering students. One effective approach is the implementation of active learning strategies[8], [9]. Active learning methods, such as flipped classroom model, problem-based learning,collaborative projects, and hands-on activities, have been shown to enhance students' self-efficacy and motivation by providing them with opportunities to apply engineering principles inreal-world scenarios [10], [11], [12], [13], [14]. These
related to repetitive transcranial magnetic stimulation (rTMS), specifically investigating treatment outcomes through a combination of FEM simulation and clinical data analysis. Sherry has worked in industry in the role of a senior system design engineer at Lumedyne Technologies, where she developed a software model for a time-based MEMS accelerometer. She then gained significant academic experience through six years of teaching as an adjunct professor at the University of San Diego. Sherry has been collaborating on a bioengineering research project with the Jacobs School of Engineering at UC San Diego since 2016. In addition to technical research, she conducts engineering education research related to project based
Paper ID #41936Board 304: Improving Engineering Mechanics Self-efficacy by Focusing onAbstracting the Physical World as a Precursor to AnalysisDr. Nigel Berkeley Kaye, Clemson University Professor of Civil EngineeringDr. Lisa Benson, Clemson University Lisa Benson is a Professor of Engineering and Science Education at Clemson University, and the past editor of the Journal of Engineering Education. Her research focuses on the interactions between student motivation and their learning experiences. Her projects include studies of student perceptions, beliefs and attitudes towards becoming engineers and scientists, and their
faculty, simple as somemay seem, can have an outsized impact on students’ lifelong success. Table 1. Learning Loss Skill Gaps [3] IMPORTANT FACTORS FOR STUDENT SUCCESSProfessors who made students feel Foster student engagement such as discussion, projects andexcited about learning workplace connectionsProfessors who cared about Demonstrate empathy and compassion rather than rigidstudents as people adherence to classroom policiesA mentor who encouraged students Take a personal interest in students and verbalize belief in theirto pursue their goals and dreams potential to succeedThe opportunity to work on a long- Foster collaboration and
, Education, Law, and Liberal Arts disciplines. Faculty development has been a key responsibility throughout her career, having developed and taught faculty workshops across disciplines in online pedagogy and instructional technologies. She has teaching experience in online and residential contexts and was an adjunct instructor for the Learning, Design, and Technology masters’ program and taught for four years in the Communication Arts and Sciences department where course formats included large (180+) lectures, computer labs, and public speaking classes. She has led complex projects requiring collaboration among faculty and staff from across departments and campuses, including leadership for Penn State World Campus of the
Alignment of Community Engagement in STEM (SPACES) is acollaborative research effort under the National Science Foundation’s ADVANCE program. Theoverarching goal of SPACES is to build an inclusive academic culture to address intersectionalgender-race-ethnicity inequities in Environmental Engineering (EnvE) via the application ofevidence-based strategies for systemic change. The two main thrusts of the project are to addresssystemic problems that cause: (1) underrepresented minority women faculty (URMWF)experiences of isolation in and/or departures from STEM academia and (2) the devaluation ofresearch conducted by URMWF, especially community-engaged research (CER). SPACES is acollaborative effort of faculty and administrators from 11 universities
, Nigeria and the University of Cape Town, South Africa. Currently, His research focus is in the field of Computing and Engineering Education where he is involved with investigating team-based computational projects using qualitative, quantitative, and artificial intelligence-based tools. He is also involved with developing and redesigning a Team-Based transdisciplinary graduate course under the Purdue University EMBRIO Innovation Hub Grant project, where He has contributed by applying computational fluid dynamics methods in the development of partial differential equation (PDE) models to implement cell cytokinesis. His ongoing PhD research broadly investigates teamwork interactions and interdisciplinary learning in
Symposium on Computer Science Education, pp. 1111–1111, 2018.[3] L. C. Ureel II, Critiquing Antipatterns In Novice Code. PhD thesis, Michigan Technological University, Houghton, MI, Aug 2020.[4] L. C. Ureel II, L. E. Brown, J. Sticklen, M. Jarvie-Eggart, and M. Benjamin, “Work in Progress: The RICA Project: Rich, Immediate Critique of Antipatterns in Student Code,” in Educational Data Mining in Computer Science Education (CSEDM) Workshop, July 2022.[5] L. C. Ureel II, “Integrating a Colony of Code Critiquers into WebTA,” in Seventh SPLICE Workshop at SIGCSE 2021 “CS Education Infrastructure for All III: From Ideas to Practice”, 2021.[6] J. Teahen, D. T. Masker, L. C. Ureel, M. Eggart, J. Sticklen, and L. E. Brown, “Extending
to solve a problem than the workaround I’ve implemented. It would be beneficial if there were opportunities to explore alternative problem-solving approaches. Incorporating peer solutions into the learning process could provide valuable insights into optimizing engineering solutions.”Remote labs in driving creativity and collaboration among engineers. They emphasize howremote labs serve as collaborative tools that allow for teamwork and exploration of different skillsets, fostering creativity in engineering projects. P6: “Yes, absolutely. Like as an engineer to like help drives your creativity or like to improve on your quality you collapse with other people you work in a theme setting or like you work with
Innovative Processes”, in whichIndustrial Engineering students learn concepts such as Value Stream Map, Pull vs Push Flow,Visual Management, Poka Yoke, Manufacturing Cells, Kanban, and SMED. In this course,students develop a continuous improvement project, using the learned tools, within a realcompany that allows them to analyze the process and collaborate with workers. Nevertheless,due to this course only having four to five weeks available to work with the company, the actualimplementation of these tools is not performed completely, so the students don’t see the results.Recognizing these challenges, this paper explores an innovative use of virtual reality to simulatea manufacturing process and to implement Lean tools within a controlled
problem – or at least assist us along the way to find a better solution?Prof. Nilza D. Aples, University of Technology, Jamaica A professional chemical and environmental engineer with over 35 years of combined experience in process design and project management in the petroleum industry and environmental consulting, Prof. Aples join the University of Technology, Jamaica in 1999. Since 1999, she has spearheaded the Waste Management & Laboratory Services Research Unit at UTech. She led the design team that developed and implemented the first bilingual chemical engineering undergraduate programme in Jamaica. Also collaborate in the development and implementation of the MPhil, PhD, and MSc programmes in engineering
salient factors: precollege characteristics andexperiences (i.e., sociodemographic traits, prior academic preparation and performance, andstudent dispositions) and the three other factors comprising the student college experience:organizational context, the peer student environment, and the individual student experience(including curricular, classroom, and out-of-class experiences) [19]. For our study, we includedneurodiversity in pre-college characteristics and experiences and introduced other factors thatmay be particularly relevant for students with ADHD, such as creativity, having close friends,having short-term motivation, time management, and study skills (Figure 1) [20].In our project, we focus specifically on the individual student
tounderstand how different types of engineering literature can be used to discover the backgroundand current trends in a topic of choice, learn how to find relevant standards, technical reports,and patents in their field using both library and real-world resources, and how to properly citewhat they find in their own final reports. Students will have already been through the first-yearseminar session and will be expected to already know the topics that were discussed then. Thelesson emphasizes the following aspects of the INCLUSIVE ADDIE framework: • Needs – models and encourages discovery, student led-learning, and communicating findings. • Context – the capstone-level course revolves around completing a project (either in groups
Paper ID #41591WIP: A Novel Learning Log Application for Classifying Learning EventsUsing Bloom’s TaxonomyDr. Alex M. Phan, University of California, San Diego Dr. Alex Phan is the inaugural Executive Director for Student Success in the Jacobs School of Engineering at UC San Diego. Prior to his appointment, he has served as a project scientist, engineer, and lecturer, teaching across multiple divisions, including the Jacobs School of Engineering (Dept. of Electrical and Computer Engineering, Dept. of Mechanical and Aerospace Eng., Dean’s Office Unit) and UC San Diego Division of Extended Studies. His teaching interests and
Center in2008 to provide outreach and training components to support the educational mission of theCenter. During the first year of the project, Rowan University worked with various constituencygroups to implement certain projects that directly impact the Center’s goals. This work has beenexpanded during the subsequent two years and additional modules and course materials havebeen developed.This paper describes the progress to date. Our long term goals are to:• train students who will be effective engineers and leaders in the manufacturing andresearch operations of the pharmaceutical and allied industries of the center.• train students for roles in education and in the agencies involved in regulating foodand drug manufacturing operations
the University of Texas at Austin, in 1998. She served as an Assistant Professor at the University of Alabama from 1998 to 2002, when she moved to Arizona State University. In 2008 she was promoted by ASU to Associate Professor. Dr. Husman has been a guest editor of Educational Psychology Review, has served on editorial board for top educational research journals, and currently sits on the editorial board of Learning and Instruction. In 2006 she was awarded the U.S. National Science Foundation CAREER grant award and received the Presidential Early Career Award for Scientists and Engineers. She has conducted and advised on educational research projects and grants in both the public and private sectors, and served as
should provide information on theeffectiveness of an educational program, course, project, or activity/lesson. Thus, thespecification of student learning outcomes and the tools to assess the achievement of theoutcomes has become an increasingly important focus for higher education institutions, not onlyto satisfy the requirements of accrediting agencies, but also because the specification ofoutcomes can lead to improved classroom instruction and student learning.Traditional course syllabi usually include the reading assignments, homework assignments, andgrading practices for the course. Some faculty members have now gone further to include courseobjectives, which are expected to produce the desired student outcomes. While overall
can be directly integrated into math and sciencecourses.1. IntroductionThe iMPaCT (Media Propelled Computational Thinking) project[4,5,6,7,8,12] is an increasingly broad effortto enhance engagement with and success in STEM disciplines for a wide demographic of students --including those with inadequate mathematics backgrounds. The difficulties in such an endeavor are wellknown, and the societal benefits well understood.As a consequence, many projects have been designed with the intention of enhancing interest in STEMstudies. iMPaCT addresses the complementary challenge of providing under-prepared students with thereflective understandings of mathematical relationships needed to succeed in engineering programs andother core STEM subjects. In
those that satisfy the coursedescription and cover the major topics in the various chapters of the textbook for the course.Table 1 lists the course outcomes for a first-semester introduction to engineering technologycourse as an example.Quantification method for a course, along its own outcomes, is as follows: During the semester,students are evaluated on a numerical scale in various classroom activities such as, homeworkassignments, oral or written reports, laboratory or field exercises, quizzes or tests, projects, andother presentations as determined by the instructor. Each of these categories of classroomactivities is assigned a weight out of a total of 100. Table 2 summarizes this weighing forassignments for the introduction to engineering
based design flow, and how the graphical viewing of the final circuits thatstudents designed at a higher textual level excited and incentivized students in the undergraduateEET program at this university.Part I: introduction:Until recent years, if not still, student assignments in digital design courses at undergraduate levelconsisted primarily of paper designs, or at best such as in senior design projects they were a large Page 22.511.2morass of SSI and MSI (Small and Medium Scale Integration) silicon devices plugged on to circuitwiring (bread) boards. A higher percentage of time and effort were devoted on debugging theconnections and
educationalobjectives and outcomes for minors, courses or similar programs which can be used byengineering units to develop programs for technological literacy of non-engineers at thecollegiate level. Four institutions with varying approaches in this area collaborated for this workas part of a larger NSF supported project. Working definitions for Educational Objectives,Outcomes, Assessment and Evaluation are established to support the work. Available objectivesand outcomes from the literature, which would be pertinent to this audience, were used asprimary sources. The project team prioritized statements from these sources for how they wouldapply to the intended audience of non-engineering, college-level students in the context ofofferings from an engineering