, we hope that our research findings help individuals serving university students at anylevel in any discipline ask what opportunities they have to create a more inclusive andwelcoming environment through the tenants of UDL1.IntroductionIndividuals with dis/abilities represent a significant portion of the population yet they areoverlooked as key contributors to Science Technology Engineering and Mathematics (STEM)industry and academia [1]. While we know that graduate STEM education is difficult to accessfor many prospective and current students, there is a paucity of research aiming to change this.There is also a dearth of research engaged in learning about dis/abled student experiences and thebarriers that limit access to graduate education
, and homework problems;and (2) the other chat session addressed lab questions. Instructors observed how studentsconducted their labs experiments providing students guidance on how to go through thetroubleshooting process. The instructors also observed that students collaborated with each otherwhen troubleshooting their circuits.If the College of Engineering can effectively deliver the lab content with this first course to meetstudent outcomes, then the engineering faculty can expect the development of future electricalengineering courses involving lab activities to go much smoother.Although the full-time engineering faculty has extensive experience teaching adult learners inF2F classroom, the faculty had no experience in developing and
(CUST), Islamabad, Pakistan as Associate Professor. Sajjad Hussain did his masters in Wireless Communications in 2006 from Supelec, Gif-sur-Yvette and PhD in Signal Processing and Communi- cations in 2009 from University of Rennes 1, Rennes, France. His research interests include 5G self- organizing networks, industrial wireless sensor networks and machine learning for wireless communica- tions. Sajjad Hussain is a senior member IEEE and fellow Higher Education Academy.Prof. Ala Al-Fuqaha, Hamad Bin Khalifa University (HBKU) Ala Al-Fuqaha received Ph.D. degree in Computer Engineering and Networking from the University of Missouri-Kansas City, Kansas City. He is Professor at Hamad Bin Khalifa University. His research
. Taken together, our quantitative and qualitative findings suggest that our peer coachesare most effective in supporting the skills of organization/flow, strategic alignment, and providingappropriate evidence; this aligns with our program’s emphasis on supporting high-levelcommunication skills. Our results also suggest that a major factor in coaching efficacy iscoach-client discussion of major takeaways from a session: rubric category scores were morelikely to improve across a drafting trajectory when a category had been identified as a takeaway.Hence, we show quantitative evidence that through collaborative conversations, technical peercoaches can guide clients to identify and effectively revise key areas for improvement. Finally, since
“hook” the students—to get them deeply andpersonally interested in the course. This was successfully achieved—every student in the classconsistently showed a level of attentiveness that is quite rare. All other material, from thereadings to the lecture topics and discussion topics, were selected so as to allow for broadcoverage of essential information regarding cognition and perception, and also to tie in withstudents’ majors. Probability, Statistics, and Bayesian decision-making are relevant to computerengineers, business/IT majors, and the health-care industry. Issues of memory, eyewitnesstestimony, and the ideomotor effect have the potential to be relevant to everyone’s life at somepoint or another. Causal and quantitative reasoning, along
change is very important in engineering educationand usually takes place when the following three interrelated requirements are taken into account:(1) the objectives of the project/task are clearly defined and understood by the students, (2) studentsfeel the need to achieve those objectives, and (3) students can work collaboratively with peers andteachers. It is believed that the type of activities undertaken in collaborative work shape, elaborate,and deepen understanding of the concepts, methodologies, and applications. Therefore, the third requirement; i.e., collaborative work, is the first of three pillars that the UCCRPis built on.SUMMER 2020 VOLUME 8 ISSUE 2 3
change is very important in engineering educationand usually takes place when the following three interrelated requirements are taken into account:(1) the objectives of the project/task are clearly defined and understood by the students, (2) studentsfeel the need to achieve those objectives, and (3) students can work collaboratively with peers andteachers. It is believed that the type of activities undertaken in collaborative work shape, elaborate,and deepen understanding of the concepts, methodologies, and applications. Therefore, the third requirement; i.e., collaborative work, is the first of three pillars that the UCCRPis built on.SUMMER 2020 VOLUME 8 ISSUE 2 3
dynamics and non-linear optical properties of active quantum cascade lasers (QCLs) and other mid-infrared devices. Recentresearch involves the use of ultrashort pulses of light for laser-induced inactivation of murine norovirussamples, which are a leading cause of food-borne illness. Collaborative discussions are underway to uti-lize laser-enhanced thermal imaging to detect breast and prostate cancer tumors in mouse models. Servedas Editor-in-Chief of the journal Optics Letters (1995-2001) and elected 2002 President of the Optical So-ciety (OSA); Co-Contributing Editor (2011 - ) OSA Optics & Photonics News (OPN) column ”PromotingDiversity in Optics.” Professional society service includes Chair of the APS (American Physical Society)Committee on
University Susan Sajadi is an assistant professor at Virginia Tech in the department of engineering education. She has a BS and MS in Biomedical Engineering and a Ph.D. in Engineering Education Systems and Design from Arizona State University. Prior, she worked as an engineer in the medical device industry. ©American Society for Engineering Education, 2024 nderstanding Students in Times of Transition: The Impact of the U COVID-19 Pandemic on Engineering Students Math Readiness and Transition into Engineering bstractAThe COVID-19 pandemic presented unprecedented challenges in education and significantly impacted learning. During 2020 and 2021, education pivoted to
California San Diego. He received bachelor's degrees in Electrical Engineering and Sociology from the University of Texas at Austin and practiced engineering for five years in the semiconductor industry. His research studies the social underpinnings of scientific controversies related to sexuality, as well as inequalities within scientific and technical fields. Page 14.1384.1© American Society for Engineering Education, 2009 “Engineers Who Happen to be Gay:” Lesbian, Gay, and Bisexual Students’ Experiences in EngineeringAbstractWhile much is known about the experiences of women and
at the university level and as they pursue careers in industry. Graduating this December, she hopes to retain this knowledge for the benefit of herself and other women engineers as she pursues an industry career.Dr. Jon A. Leydens, Colorado School of Mines Jon A. Leydens is Associate Professor of Engineering Education Research in the Division of Humanities, Arts, and Social Sciences at the Colorado School of Mines, USA. Dr. Leydens’ research and teaching interests are in engineering education, communication, and social justice. Dr. Leydens is author or co- author of 40 peer-reviewed papers, co-author of Engineering and Sustainable Community Development (Morgan and Claypool, 2010), and editor of Sociotechnical
discussion and problem- based learning in online learning communities, which was published in Educational Technology Research and Development, a leading journal in the field of instructional design and technology. In addition, Dr. Ge has also investigated the design of various cognitive tools and learning technologies in the context of problem- based learning. Dr. Ge’s scholarly inquiry is also an attempt to bridge cognition and metacogni- tion with motivation. She has conducted extensive research in STEAM education in various educational settings, and she has collaborated with researchers and scholars from diverse disciplines around the world. Dr. Ge has published numerous refereed journal articles, book chapters, and
Paper ID #11839Using Phenomenography: Reflections on Key Considerations for Making Method-ological DecisionsEmily Dringenberg, Purdue University, West Lafayette Emily Dringenberg is a PhD Candidate in Engineering Education at Purdue University. She holds a Bachelor of Science in Mechanical Engineering (Kansas State ’08) and a Master of Science in Industrial Engineering (Purdue ’14). Her current dissertation research focuses on using qualitative methods to ex- plore the experiences of students engaging with engineering design problems. Additionally, her research interests include transfer of learning, personal epistemology
(B.S.) in civil engineering from the University of Costa Rica. Dr. Rojas is also a Professional Engineer registered in the State of Michigan. Throughout his academic career, Dr. Rojas has led numerous research studies in modeling, simulation, and visualization of construction engineering and management processes; engineering education; and construction economics. He has served as prin- cipal investigator or co-principal investigator in more than 20 different projects. These studies have been sponsored by government agencies and private sector organizations such as the National Science Founda- tion, the U.S. Department of Education, the U.S. Army, the KERN Foundation, the Construction Industry Institute, the New
University Aditya Vora is a Junior at The Pennsylvania State University majoring in Industrial Engineering and graduating in May 2020. He has been a part of the High-Performance Design Team Research for a year, with technical interests including Data Visualization, Artificial Intelligence, Team Cognition, and Entrepreneurship. He is the design lead of a team that was awarded phase one winner at the Nittany AI challenge at Penn State. With a minor in Entrepreneurship and Innovation, Aditya is also the Co-founder of a Startup at Penn State. His interest in Engineering Education stems from prior work as a Learning Assistant in Physics courses. Outside of school, he enjoys traveling, producing music and playing the
engineering educators, typically they are to: 1. Facilitate student learning and concomitant motivation. 2. Strengthen genuine retention of students. 3. Prepare students for engineering application in the industry outside the classroom. 4. Identify the most effective selection of course components and best use of class time.While each of these objectives might be considered mutually exclusive on some levels, an idealcourse would be one developed to create maximum overlap across each of these goal categories.Ensuring that students like their work certainly helps to retain them, but do they feel they arelearning from the same experience?Review of LiteratureLearning Styles. It is well established that using a variety of teaching styles
Session: 3553 Simulated Conference Meets Academic, Advising, and Library Goals for Freshman Engineering Students Dan Budny, Rachel Callison, Bob Lorence, and Kate Thomes University of PittsburghAbstract – First-year engineering students hold a mock professional conference designed to meetthe instructional objectives of the Freshman Program’s academic and advising components, andthe Engineering Library at the University of Pittsburgh’s School of Engineering. The AnnualSustainability Conference is the result of collaboration between these three groups that creates astudent-centered
the Director of the Institute for Studies in Transdisciplinary Engineering Education and Practice (ISTEP), Director of the Collaborative Specialization in Engineering Education, a 3M national Teaching Fellow, and a mYunze Wei, University of Toronto Yunze Wei is an undergraduate student currently studying Engineering Science (Machine Intelligence) at the Faculty of Applied Science and Engineering, University of Toronto, Canada. She is interested in the incorporation of interdisciplinary learning and professional development in engineering education. She also enjoys learning about machine learning and data analysis.Milad Moghaddas, University of TorontoKashish Mistry, University of Toronto, Faculty of Applied Science and
for collaborative learningand exchange of ideas [21]. These factors make makerspaces particularly well-suited forproviding active learning opportunities in engineering, and indeed, the use and effects ofmakerspaces in engineering education have been explored in a number of studies[18],[22],[23],[24].As might be expected from their facilitation of active-learning techniques, the use ofmakerspaces in engineering education has shown a number of positive outcomes. Hilton et al.[25] found a positive correlation between student-involvement/activity in university makerspacesand in-major GPA. In addition to academic benefits, they also noted that the utilization ofmakerspaces can improve student self-efficacy. Students that were regularly involved
education innovation and research. In addition to her PhD in Chemical Engineering, she also has an MA in Educational Studies. She has industrial experience in pharmaceuti- cal product and process development as well as teaching experience at the secondary and post-secondary levels.Prof. Joseph M. LeDoux, Georgia Institute of Technology Joe Le Doux is the Executive Director for Learning and Training in the Department of Biomedical En- gineering at Georgia Tech and Emory University. Dr. Le Doux’s research interests include narrative and inclusive pedagogies and practices. ©American Society for Engineering Education, 2023Story-Driven Learning in Biomedical Engineering: Quantifying Empathy in
diversetypes of data, including sociotechnical sources, to meet the needs of industries and to serve societyeffectively [6]. Students must be prepared to practice design approaches that are tailored to thecomplex realities in engineering design practice not only to support innovative and profitableindustries [7], but to support ethical, critical engineering design that considers societal needs [6].Broad, high-quality sociotechnical data collection and analysis, frequently requiring the use ofqualitative research methods, are especially critical during the front-end of design processes, whichAtman [8] defines as activities like problem scoping, requirements definition, and concept selection,and that often determine the success or failure of design
globalization, includingassociated impacts on engineering education and practice. The course emphasizes engineering,globalization, cultural identity, and society primarily from the perspectives of the emergingAsian economies, Europe, and the U.S. The course includes some historical and contemporarycase studies, and offers opportunities to explore topics and themes such as global knowledgeeconomies and migration, international and transnational institutions, and internationaldevelopment. It is taught in a student-centric, highly interactive, collaborative learningenvironment in which students are expected to learn from one another, the instructor, and othercourse resources. The course places particular emphasis on oral and written communicationskills
engineering learning for historically marginalizedcommunities, over the past six years we have designed and developed a Localized Engineeringin Displacement (LED) model. Originally evolved from implementation in differentdisplacement contexts across Kenya and Jordan, the model integrates four components: (i) alocalized engineering curriculum that centers students identifying and solving communitychallenges that is implemented using an Active, Blended, Collaborative, and Democratic(ABCD) pedagogical approach; (ii) supportive learning technology for both deployment ofcurricular content and for hands-on learning of STEM concepts; (iii) sustainable teacherdevelopment program using a Community of Practice model to empower local teachers forimplementation
towards recorded lecture videos with transcripts,course textbooks, and instructor notes/slides [2].Adoption of UDL-based technologies in engineering educationIn addition to standard modalities used to deliver content, engineering classes in ComputerScience, Electrical & Computer Engineering, Industrial and Enterprise Systems Engineering, andBioengineering at the University of Illinois Urbana-Champaign have used ClassTranscribe, a newaccessible video platform based on UDL principles, to provide students with multiple pathways toaccess video content. Using this tool, students can view and review recorded live contentasynchronously, optionally read the captions and live transcriptions, read transcriptions inalternative languages, and search for
Autoethnographic StudyIntroductionAn academic career may involve a semester or even years away from the classroom as onepursues research or enters administration. Unlike a sabbatical, where you may engage studentswhile expanding relationships in industry or another university, returning to the classroom after awhile in an administrator role has challenges and opportunities. This paper describes some of myexperience as a veteran administrator who recently returned to the classroom after nearly adecade away and shares lessons learned that I hope new educators find valuable.My early academic career was focused almost entirely on teaching and advising. For more than adecade, each year, I taught over a thousand students. In addition, I supervised nearly a
, including children in early childhood education, must be consistentlyexposed to data science concepts to meet future industry requirements [1, 2]. Students wholearn data science at a young age are better equipped to implement the concepts at later stageswhere they will have more chances to practice and develop their skills [3]. However, currentdata science research for early childhood is very limited, and although previous data scienceframeworks for K–12 education have claimed that the content is suitable for kindergarteners,application has proven that, in reality, the content is more appropriate for students in grade 4and beyond [4]. Therefore, this paper proposes a data science framework suitable for the developmentalstages of young
sentiments into theminds of their participant when asking a question or following up on a comment. While theparticipant acts as the chief source of information and context, the researcher helps ground thedata into a theoretical understanding to address the motivating research questions.This collaborative relationship persists even in the physical absence of the participant duringpost-data collection analysis as their words preserved in the interview transcripts continue tooffer new information to be interpreted. The researcher is tasked with discerning which dataelements fit together and form a coherent story that accurately characterizes the phenomenonbeing studied in the context of the circumstances and individuals from which the data wasderived
]. Although not all interactionsoccur in makerspaces within this department, cohorts work on projects together that usuallyinvolve the utilization of one of these spaces for an aspect of the project. Thus, students notedthat they could no longer interact with their peers in these spaces and had to complete much oftheir work without the collaboration they experienced prior to the pandemic: I mean there would always be people working in those group spaces, and a lot of times we work on homework. If someone's stuck, you just bounce in another room and ask them, "Hey, have you guys figured this out? What the heck am I supposed to be doing?" And now it's, if you can't figure it out, you can either text someone. But I know a lot of