Displaying all 17 results
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- New Engineering Educators 2: Success In and Out of the Classroom
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- 2020 ASEE Virtual Annual Conference Content Access
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- David Gau, University of Pittsburgh; Deanna Christine Easley Sinex, University of Pittsburgh; Mary E. Besterfield-Sacre, University of Pittsburgh; Steven Abramowitch, University of Pittsburgh; Sylvanus N. Wosu, University of Pittsburgh
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- Diversity
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- New Engineering Educators
Paper ID #30340Implementation of a Future Faculty Development Program: Impact andEvaluation of Years 1 & 2Dr. David Gau, University of Pittsburgh David Gau, PhD is a Postdoctoral Associate in the bioengineering department. Dr. Gau earned his BPhil in bioengineering and BS in Mathematics from the Pitt in 2012. After, he was awarded a Whitaker Fel- lowship and Rotary Ambassadorial Scholarship to study and work in Australia for a year before returning and completing his PhD in bioengineering at Pitt in 2018. His pre-doctoral research focused on screening and developing novel agents to target aberrant and excessive
- Conference Session
- New Engineering Educators 1: Learning Aids
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- 2020 ASEE Virtual Annual Conference Content Access
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- Wendy Roldan, University of Washington; Schawnery Lin; Yuxin Xu, University of Washington; Andrea Jacqueline Sequeira; Jennifer A. Turns, University of Washington
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- New Engineering Educators
self-directed learners who make intentional choices about theiracademic endeavors. Prior research highlights the role of educators in designing active learningclassrooms [1], promoting a reflective culture [2], [3], and using project-based curriculum [4] tosupport student learning. We ask, what are smaller, more attentive opportunities for students todesign their own active learning experience within classroom settings? We take a provocativeapproach to supporting engineering student learning through visual notetaking.Visual notetaking is a method of representing ideas without always relying solely on words.Notetaking offers a large design space and opens up opportunities for metacognitiveconversations about student learning. Further, visual
- Conference Session
- New Engineering Educators 1: Learning Aids
- Collection
- 2020 ASEE Virtual Annual Conference Content Access
- Authors
- Lawrence Angrave, University of Illinois at Urbana-Champaign; Karin Jensen, University of Illinois at Urbana-Champaign; Zhilin Zhang, University of Illinois at Urbana-Champaign; Chirantan Mahipal, University of Illinois at Urbana-Champaign; David Mussulman, University of Illinois at Urbana-Champaign; Christopher D. Schmitz, University of Illinois at Urbana-Champaign; Robert Thomas Baird, University of Illinois Center for Innovation in Teaching and Learning; Hongye Liu, University of Illinois at Urbana-Champaign; Ruihua Sui, University of Illinois at Urbana-Champaign; Maryalice S. Wu; Rob Kooper, NCSA / University of Illinois at Urbana-Champaign
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- Diversity
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- New Engineering Educators
(Full Paper)Improving student accessibility, equity, course performance, and lab skills:How introduction of ClassTranscribe is changing engineering education at theUniversity of IllinoisAbstractThis paper presents three case studies that examined the use of ClassTranscribe in a diverse setof undergraduate engineering classes in 2019 and 2020 at the University of Illinois atUrbana-Champaign. ClassTranscribe, a video viewing system designed with accessibility andlearning in mind, was first presented to the ASEE community in 2019 [1]. The pedagogicalfeatures of the tool include: pause, leave and resume viewing; captions available in multiplelanguages; downloadable transcriptions; shareable links to video moments; and searchablecontent within
- Conference Session
- New Engineering Educators 1: Learning Aids
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- 2020 ASEE Virtual Annual Conference Content Access
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- Edward F. Gehringer, North Carolina State University
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- New Engineering Educators
to come by, but many observers have noted that large classes seem tobe becoming more common. Several reasons are cited, including the desire to democratizehigher education by enrolling students from a wider range of socioeconomic backgrounds,declining per-student support from governments after the Great Recession, and the growingpopularity of STEM majors such as Computer Science. All of these factors make it more likelythat engineering educators will be called on to teach large classes, which depending on thediscipline, may comprise 80 to 800 or more students.Conventional wisdom says that this is unfortunate. Large lectures depersonalize education.Students’ attention dwindles quickly [1, 2]. Their grades are not as good [3, 4]. Student
- Conference Session
- New Engineering Educators 1: Learning Aids
- Collection
- 2020 ASEE Virtual Annual Conference Content Access
- Authors
- Mariana Silva, University of Illinois at Urbana-Champaign; Eric G. Shaffer, University of Illinois at Urbana-Champaign; Nicolas Nytko, University of Illinois at Urbana-Champaign; Jennifer R. Amos, University of Illinois at Urbana-Champaign
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- New Engineering Educators
one homework and two quizzes were used in this study, a total of 9 features wereavailable to train the prediction model.We first performed feature extraction using an Extra-Trees Classifier to identify the mostimportant features for the prediction model. Figure 1 shows all 9 features, and theircorresponding scores in terms of feature importance. Day count corresponds to the day thestudent started the assessment. For example, a student that takes the quiz on the first day has aday count equal to zero whereas a student that takes the quiz on the last day has a day countof three. duration is the time that a student takes to complete the assessment and score is thefinal grade in the assessment. Day_count_q1
- Conference Session
- New Engineering Educators 4: Tips and Tools
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- 2020 ASEE Virtual Annual Conference Content Access
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- Nathan John Washuta P.E., The Citadel; Robert J. Rabb P.E., The Citadel; Emily Kate Bierman, The Citadel; Patrick Bass, The Citadel; Jason Howison, The Citadel; James Righter, The Citadel
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- New Engineering Educators
listen and follow along in class. The workbooks have alsobeen used to deliver supplemental problems, learning objectives, and hints for problem solving.In the present implementation, students have reported that they find the workbooks valuable, usethem to study for exams, follow along with lecture more closely, and work ahead more.Introduction The traditional method of delivering engineering course content, through in-class lecturesand a required textbook, presents a number of issues for both instructors and students. Studentsoften spend much of their time in class simply transcribing lecture notes or figures rather thanengaging in the lecture or thinking critically about the concepts being presented [1]. By askingstudents to multi-task
- Conference Session
- New Engineering Educators 2: Success In and Out of the Classroom
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- 2020 ASEE Virtual Annual Conference Content Access
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- Julie P. Martin, Ohio State University
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- New Engineering Educators
theEngineering Education and Centers Division of the Directorate for Engineering and as aCAREER PI (2010). There are many resources for PIs that focus on NSF’s review criteria andthe mechanics of writing a strong proposal. This paper concentrates on three topics that are lessoften discussed: articulating how your CAREER proposal fits into your career vision and goals;meeting with NSF program officers; and building a network of support for developing theproposal.1. Articulating how your CAREER proposal fits into your career vision and goalsTo write an effective CAREER proposal, you need to articulate how your five-year project fitswithin your long-term academic career plans and that that you are the only person to do the workyou propose [1]. Your CAREER
- Conference Session
- New Engineering Educators 2: Success In and Out of the Classroom
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- 2020 ASEE Virtual Annual Conference Content Access
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- Elizabeth Payne Tofte, South Dakota State University; Albena Yuliyanova Yordanova, South Dakota State University
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- Diversity
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- New Engineering Educators
: Testing Brookfield’s critical incident questionnaires effectiveness in improving student learning [WIP]IntroductionStephen Brookfield’s Critical Incident Questionnaire (CIQ) is a formative assessment tooldesigned to help faculty better understand their students’ behavioral responses to key factorsaffecting learning in a traditional (face-to-face) classroom. Grant and Trenor claim the CIQ holdspotential for building grounded theory in engineering education [1, p. 13]. CIQs have also beenidentified by Phelan as being “particularly valuable in an asynchronous online learning contextwhere students are typically geographically isolated from one another.” [2, p. 1]. This paperdescribes how a
- Conference Session
- New Engineering Educators 2: Success In and Out of the Classroom
- Collection
- 2020 ASEE Virtual Annual Conference Content Access
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- Huma Shoaib, Purdue University, West Lafayette; Sean P. Brophy, Purdue University, West Lafayette
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- New Engineering Educators
outcomes given we are in the technological era. However, there is limited researchsynthesis available on how Computational Thinking enhances learning and what kind ofpedagogies are suitable for incorporating Computational Thinking in science and engineeringclassrooms. We perform a literature review of the available research related to ComputationThinking to answer the following research questions: 1) What does the literature inform us aboutlearning or transfer through Computational Thinking in science and engineering disciplines? 2)How can Computational Thinking based learning be facilitated through pedagogy? We alsoexamine which components of Computational thinking are difficult to learn and why so? in-orderto address our first research question
- Conference Session
- New Engineering Educators 3 - Grading: Grate or Great
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- 2020 ASEE Virtual Annual Conference Content Access
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- Timothy Aaron Wood, The Citadel; Dan D. Nale; Ryan Kent Giles P.E., The Citadel
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- New Engineering Educators
where the instructor could addresscommon problems. As time has gone on, this approach has been further undermined by the wide-spread availability of solution manuals and crowd-sourced homework resources on the Internet[1]. Engineering instructors have been actively attempting to address these various issues. Aliterature review of ASEE publications will show the development of the authors’ dual-submission-with-reflection homework methodology as an attempt to optimize the effectivenessof homework. The methodology, as detailed in the course syllabus, has resulted in positivefeedback from a range of instructors and students in the The Citadel School of Engineering.Homework ChallengesHomework can be a source of frustration and anxiety for both
- Conference Session
- New Engineering Educators 4: Tips and Tools
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- 2020 ASEE Virtual Annual Conference Content Access
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- Randy Hugh Brooks, Texas A&M University
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- New Engineering Educators
, and Charter. c American Society for Engineering Education, 2020 Deploying Intelligent Tutoring Systems (ITS) in the Engineering ClassroomAbstractThe volume and complexity of student analysis practice required to effectively navigateengineering courses drives the need for Intelligent Tutoring Systems (ITS) deployment to bestmanage the time of both students and instructors. This study will explore student feedback andinstructor observation of a recent classroom deployment of the Physics Education Technology(PhET) online simulation tool [1] and two specialized web-based ITS tools, Mechanix andSketchtivity. These three tools provide personalized and immediate feedback
- Conference Session
- New Engineering Educators 4: Tips and Tools
- Collection
- 2020 ASEE Virtual Annual Conference Content Access
- Authors
- David Mussulman, University of Illinois at Urbana-Champaign; Karin Jensen, University of Illinois at Urbana-Champaign; Jennifer R. Amos, University of Illinois at Urbana-Champaign; Lawrence Angrave, University of Illinois at Urbana-Champaign; Karle Flanagan, University of Illinois at Urbana-Champaign; Wade Fagen-Ulmschneider, University of Illinois at Urbana-Champaign; Natalia Ozymko, University of Illinois at Urbana-Champaign; Rittika Adhikari, University of Illinois at Urbana-Champaign; Jacqueline Osborn, University of Illinois at Urbana-Champaign
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- New Engineering Educators
learning, and advising. The surveyfeedback suggested equity of staff attention and not overlooking student engagements, especiallyin large courses, as the biggest benefit of adopting the Queue.1. IntroductionThere is an increasing need to facilitate quality instruction in large enrollment courses. In orderto address this need, we have previously described the development and early use of an onlinequeuing system for education [1]. The Queue is an open-source application that allows studentsto add their name and question to an online queue (or virtual line) that is monitored by coursestaff or advisors. Students can easily access the Queue web page with a cell phone, tablet, laptop,or another device. Both students and course staff can view which
- Conference Session
- New Engineering Educators 3 - Grading: Grate or Great
- Collection
- 2020 ASEE Virtual Annual Conference Content Access
- Authors
- Ashish D. Borgaonkar, New Jersey Institute of Technology; Christina Marie Zambrano-Varghese, Rutgers University-Newark; Jaskirat Sodhi, New Jersey Institute of Technology; Swapnil Moon
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- Diversity
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- New Engineering Educators
with, but one that may not be completely understood in terms of breadth orimportance. Academic integrity violations can range from cheating through premeditation bybringing restricted materials into an exam to glancing at another student’s exam [1]. Violationsof academic integrity can involve plagiarism, which includes taking the words or ideas ofanother person and passing them off as one’s own [2], or can involve working with otherstudents on an assignment when the expectation was that homework should be completed alone[3]. Although most universities define academic integrity similarly, the ways in which this areaof policy and education differ tremendously across institutions [2]. The concept of academicintegrity is something that students
- Conference Session
- New Engineering Educators 3 - Grading: Grate or Great
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- 2020 ASEE Virtual Annual Conference Content Access
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- Jennifer Pascal, University of Connecticut; Troy J. Vogel, University of Notre Dame; Kristina Wagstrom, University of Connecticut
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- New Engineering Educators
students over what theylearn and how, while also decreasing time spent on higher quality evaluation. Specifications grading, an evolution of contract grading [1], is a novel grading approachintroduced by Nilson [2] designed to help motivate students to focus on learning rather thanfeeling the need to obsessively count points. In a specifications grading approach, facultyprovide clear specifications of what is required to earn a given grade in the class. Rather thanbasing grades on point totals or a weighting system, students are given the option to completespecific assignments or bundles of assignments that link to a specified grade. Each assignment isgraded on a pass/fail basis where passing is typically defined as B or B+ level work
- Conference Session
- New Engineering Educators 4: Tips and Tools
- Collection
- 2020 ASEE Virtual Annual Conference Content Access
- Authors
- Ivan Detchev, University of Calgary; Elena Rangelova, University of Calgary; Sheng Lun (Christine) Cao, University of Calgary
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- New Engineering Educators
offering.Theoretical frameworkThe numerical methods course in question contributes to the accreditation of a number ofengineering programs at the school and as such it must abide by the requirements set by theengineering accreditation body in Canada. It is however worth explaining a broader theoreticalframework before delving into how the accreditation constraints influence the design of thecourse. This is addressed next in terms of both the course design / development and the coursedelivery.In terms of course development, the theoretical framework that is advised to be used in thedesign of engineering courses is Bloom’s taxonomy [1], and more specifically the version of thetaxonomy modified by Krathwohl [2]. Bloom’s taxonomy presents a congnitive spectrum or
- Conference Session
- New Engineering Educators 3 - Grading: Grate or Great
- Collection
- 2020 ASEE Virtual Annual Conference Content Access
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- Derek Breid, Saint Vincent College; Tara Gupte Wilson, Ohio State University; Ann D. Christy P.E., Ohio State University
- Tagged Divisions
- New Engineering Educators
from before and after the implementation of themetacognitive policy at the large research institution. Narratives from the instructors will highlight theimplementation and overall scalability of the homework policy from the practitioner’s perspective,comparing best practices with this method at the different institutions.Introduction and backgroundEngineering courses quite frequently include a dimension in which students are expected to completework independently, outside of the classroom. This work can take many forms, including working onprojects[1], [2] and open reading/inquiry[3], but most commonly students are asked to find and submitanswers to specific questions through mathematical computation, computer modeling, or generalizedanalysis
- Conference Session
- New Engineering Educators 3 - Grading: Grate or Great
- Collection
- 2020 ASEE Virtual Annual Conference Content Access
- Authors
- Kurt M. DeGoede, Elizabethtown College
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- New Engineering Educators
assess student learning? Is it a tool for developing mastery? Is itan outdated model? In his recent paper Homework Is So 20th Century!, Brunnhoeffer observes,“For most student[s]…the homework assignment becomes a game of getting it in with the leasteffort possible. It is a short term strategy to minimize the effort (time spent solving problems)and to maximize the reward (grade awarded for completing the assignment)” [1]. Chegg® seemsto agree. A user’s twitter post featured on the front page of their textbook solutions pagepromoting the service states “Shoutout to Chegg Study for allowing me to knockout [sic] myhomework in 30 min” [2]. If Homework is simply an obstacle I need to jump through to mydesired credential (a degree in engineering), I