hospitality coursework, including managed services and event planning. Nearly all of his courses are designed using hybrid and online course delivery with experience in designing over 20 courses. He has taught and researched internationally in Switzerland, Malawi, and Tanzania. Dr. Beattie has over 15 publications and conference proceedings to his credit including publications in Jesuit Higher Education, The International Journal of Higher Education and Democracy, and The International Journal of Servant-Leadership. Dr. Beattie is a reviewer for the Hospitality and Tourism Graduate Student Edu- cation and Research Conference and is an Assistant Editor for Narrative Magazine. Dr. Beattie has over 30 years of experience in
10-weeksummer program where students are paired with faculty to engage in a research or design project.The student is paid a weekly stipend of $400 while being mentored one-to-one by a full-timefaculty member. Approximately 29 students took part in this program during the summer of 2019,culminating in a presentation to their peers and faculty mentors, and members of the Dean’sAdvisory Board for the school.It is hypothesized that the process and completion of the research or design project through theprogram positively impacted the students’ confidence and self-efficacy. To determine if thehypothesis is true, the students were assessed through a simple survey, the results of which arepresented. In addition, two of the 29 students were asked
, 2003 Distinguished Teacher Award, and 2012 Inaugural Distin-guished Award for Excellence in the category Inspiration through Leadership. Moreover, he is a recipientof 2014-2015 University Distinguished Teaching Award at NYU. His scholarly activities have included3 edited books, 9 chapters in edited books, 1 book review, 63 journal articles, and 164 conference pa-pers. He has mentored 1 B.S., 40 M.S., and 5 Ph.D. thesis students; 64 undergraduate research studentsand 11 undergraduate senior design project teams; over 500 K-12 teachers and 130 high school studentresearchers; and 18 undergraduate GK-12 Fellows and 59 graduate GK-12 Fellows. Moreover, he di-rects K-12 education, training, mentoring, and outreach programs that enrich the STEM
, fault detection and anticipation, embedded computing, safety-critical computer systems, and statistical and machine reasoning. Dr. Kim is active in faculty-student team project through the Vertically Integrated Projects program. Also for years he’s been in practicing experiential learning through the Inclusive Engineering Consortium in engineering education with personal instrumentation such as mobile studio.Dr. Patricia D Koman, University of Michigan College of Engineering Trish Koman is the faculty research program manager at the University of Michigan College of Engineer- ing Multidisciplinary Design Program. She supports over a dozen research teams engaging an average of 200 students and conducts educational
optimization and decentralized control of microgrids.Dr. William C Farrow, Milwaukee School of Engineering Dr. WILLIAM C. FARROW has been teaching at the Milwaukee School of Engineering full time for 10 years in the Mechanical Engineering department. Besides teaching courses related to engineering design and engineering mechanics he works with students pursuing aerospace career goals. Dr. Farrow has worked for McDonnell Aircraft Comp., Eaton Corporation’s Corporate Research Division, and at NASA’s Jet Propulsion Lab as a Faculty Research Fellow. c American Society for Engineering Education, 2020 Robot Racing from Targeted Kit-based Components to a Functional
both qualitative and quantitative data. For example, the reportof one participating group identified electricity market prices, hydropower generation potential,impacts on local ecosystems, and stakeholder acceptance as potential forms of data. Processingand understanding these heterogeneous datasets is best facilitated through methods from data-science, including emerging techniques such as artificial intelligence. Upon identifying thechallenges related to data analysis, the group specifically designated the position of a ‘data-science researcher’ in their team. This is a common approach to address complexitiesencountered during the project experience, i.e., students seek domain knowledge throughcollaborative learning and peer education
barriers that Latinx and Native Americans have in engineering. Homero has been recognized as a Diggs scholar, a Graduate Academy for Teaching Excellence fellow, a Diversity scholar, a Fulbright scholar and was inducted in the Bouchet Honor Society.Jazmin Jurkiewicz, Virginia Polytechnic Institute and State University Jazmin Jurkiewicz is a first-year PhD student in Engineering Education at Virginia Tech. She holds de- grees in Chemical Engineering (B.S.) and Engineering - Innovation, Sustainability, and Entrepreneurship (M.E.). Her research interests include counseling informed education, inclusive practices, and teaching teams in STEM education.Dr. Kenneth Reid, Virginia Polytechnic Institute and State University
development 4. Understanding complete solutions and develop the ability to effectively disseminate the entire value not just the value developed within individual domains of expertiseThe project was also meant to measure interdisciplinary learning and student collaboration, to develop atemplate for formalizing such learning opportunities centered around research led by multiple professors. 3.2. Project TeamThe envisioned outputs of the project and the corresponding resource requirements were: 1. A viable, production ready solution requiring the involvement of students interested in research and with prior experience in of three domains of expertise: Design/Manufacturing, Computer5 Hardware and Computer Software. One
and the sender are key components to consider when addressing conflictand challenging behaviours. Using an assertive communication approach when dealing withdifficult behaviours can ensure that the message, the receiver and the sender are addressed in aconstructive dialogue. For example, Hess utilized the D.E.S.C. model to develop leadership skillsthrough active student practice [13]. This model encourages the sender of a message to begin bydescribing the behaviour using facts and details while remaining calm and supportive in tone andbody language. Next, the sender expresses the impact the behaviour has had on the team or on anindividual using “I” statements and by encouraging acknowledgement and/or clarification fromthe receiver. Then, the
enrollment in many majors.NEET is based on the following four principles: 1. Our education should focus on preparing our students to develop the new machines and systems that they will build in the middle of the 21st century. 2. We should help our students prepare themselves to be makers, discoverers or positioned along this spectrum, and we should teach engineering fundamentals as a foundation for careers in both research and practice. 3. We should build our education around the way our students learn best, engaging them in their learning, and implementing pilots to understand the desirable balance of classroom, project, and digital education for the digital natives. 4. In view of the speed of scientific
Development from the Tech- nological Institute of Merida. His areas of interest are innovation practices in organizations, ICT and knowledge management.Dr. Jennifer Jill Kidd, Old Dominion University Dr. Jennifer Kidd is a Senior Lecturer in the Department of Teaching and Learning at Old Dominion Uni- versity. Her research interests include engineering education, computational thinking, student-authored digital content, classroom assessment, especially peer review, and diversity issues. She currently has sup- port from the National Science Foundation for two projects related to engineering education for preservice teachers.Dr. Stacie I Ringleb, Old Dominion University Stacie Ringleb is an associate professor in the
were targeted in this study; applying and creating. Forapplying, 3D models were made available that could be viewed on a smartphone using an ARapplication or on a computer. The models were generated for problems that students in previousyears found challenging or expressed difficulty in visualizing. Students were then encouraged touse this model to inform their problem solving. For creating, students were given the opportunityto generate 3D models based on textbook examples, indicate types of stresses and displaydeformed shapes. For both activities, student perceptions, best practices, and lessons learned arenoted. Students were also asked to provide feedback about their experience and the effectivenessof AR models in their learning in class