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Measuring Student Learning of Crystal Structures Using Computer-based Visualizations

Conference Session: Materials Division Technical Session 3
Collection: 2018 ASEE Annual Conference & Exposition
Authors: Susan P. Gentry, University of California, Davis; Tanya Faltens, Purdue University, West Lafayette (Network for Computational Nanotechnology); William Ashwin Wheeler, University of Illinois, Urbana-Champaign; Andre Schleife, University of Illinois at Urbana-Champaign
Tagged Divisions: Materials

Paper ID #21908Measuring Student Learning of Crystal Structures Using Computer-basedVisualizationsDr. Susan P. Gentry, University of California, Davis Dr. Susan P. Gentry is a Lecturer with Potential Security of Employment in the Materials Science and Engineering department at the University of California, Davis. In her current position at UC Davis, she is integrating computational modules into the undergraduate and graduate materials curriculum. She is specifically interested in students’ computational literacy and life-long learning of computational materi- als science tools.Dr. Tanya Faltens, Purdue University, West

Relevance Score: 1.611995

Computational Curriculum for MatSE Undergraduates

Conference Session: Materials Division Technical Session 1
Collection: 2017 ASEE Annual Conference & Exposition
Authors: Alina Kononov, University of Illinois, Urbana-Champaign; Pascal Bellon, University of Illinois, Urbana-Champaign; Timothy Bretl, University of Illinois, Urbana-Champaign; Andrew L. Ferguson, University of Illinois, Urbana-Champaign; Geoffrey L Herman, University of Illinois, Urbana-Champaign; Kristopher Alan Kilian, University of Illinois, Urbana-Champaign; Jessica A. Krogstad, University of Illinois, Urbana-Champaign, Department of Materials Science and Engineering; Cecilia Leal, University of Illinois, Urbana-Champaign; Robert Maass, University of Illinois, Urbana-Champaign, Department of Materials Science and Engineering; Andre Schleife, University of Illinois, Urbana-Champaign, Department of Materials Science and Engineering; Jian Ku Shang, University of Illinois, Urbana-Champaign; Dallas R. Trinkle , University of Illinois, Urbana-Champaign; Matthew West, University of Illinois, Urbana-Champaign
Tagged Divisions: Materials

students, industry, and thenation by providing more instruction in computational thinking at the undergraduate level.However, undergraduate programs in materials science and engineering typically saturate studentschedules with traditional content, leaving little margin for additional coursework focusingexclusively on development of computational skills. Instead, integrating computationalinstruction into traditional courses not only provides computational training, but also facilitatesimproved learning of the traditional content 14;15;21 . In the Department of Materials Science andEngineering (MatSE) at the University of Illinois at Urbana-Champaign (UIUC), a team offaculty has integrated computational curriculum into the core curriculum 15;16 . In

Relevance Score: 1.3586794

Successes and Lessons Learned in an Undergraduate Computational Lab Sequence for Materials Science and Engineering

Conference Session: Materials Division Technical Session 1
Collection: 2017 ASEE Annual Conference & Exposition
Authors: Alison K. Polasik, Ohio State University
Tagged Divisions: Materials

Paper ID #20596Successes and Lessons Learned in an Undergraduate Computational Lab Se-quence for Materials Science and EngineeringDr. Alison K. Polasik, Ohio State University Alison K Polasik received a B.S.E. degree in Materials Science and Engineering from Arizona State University in 2002, and M.S. and Ph.D. degrees from The Ohio State University in 2005 and 2014, re- spectively. She has been part of the adjunct faculty at Columbus State Community College, and was a full-time lecturer at OSU from 2013 until 2015. In 2015, she was hired as an assistant professor of practice in the Department of Materials Science and

Relevance Score: 1.3433292

Enhancing and Supporting Integrated Computational Material Science Engineering Education

Conference Session: Materials Division Poster Session
Collection: 2014 ASEE Annual Conference & Exposition
Authors: Nitin Sukhija, Mississippi State University (Center for Advanced Vehicular Systems and Dept. of Computer Science and Engineering); Tomasz A. Haupt, Mississippi State University; Mark Fredrick Horstemeyer, Mississippi State University
Tagged Divisions: Materials

Material Science Engineering EducationAbstractIn this paper we describe a novel approach for teaching a multi-disciplinary course “IntegratedComputational Materials Engineering (ICME) for Metals” aimed to support the generation offuture taskforce of engineers. By combining traditional teaching of the theoretical concepts ofthe ICME paradigm (based on a textbook) with in-class practical training sessions using theresources accessible online through ICME Cyberinfrastructure (CI), the students are motivated towork in dynamic, shared, and collaborative learning environment while learning and utilizing thestate-of-art, high-performance computational tools. This course was taught as a part of Fall 2012and 2013 graduate coursework of Mechanical

Relevance Score: 1.0275822

Integrating Computational Modeling Modules into Undergraduate Materials Science and Engineering Education

Conference Session: Materials Division Technical Session 3
Collection: 2016 ASEE Annual Conference & Exposition
Authors: Lan (Samantha) Li, Boise State University
Tagged Divisions: Materials

Thermodynamics,and Structure of Materials. We also flipped the courses, requiring students to self-study topicsoutside the class. In the class, the instructors focused on demonstrating real-world materialsproblems and guiding the students to solve the problems using different computational modelingtechniques. Learning the computational modeling concepts within a short period of time waschallenging to the students. Another challenge was that the students had various STEMbackgrounds, such as MSE, mechanical engineering, and physics. In order to foster studentlearning, engage student interest and seamlessly couple computational modeling modules withthe courses, real-world problems, examples and homework were all developed based on studentbackground and

Relevance Score: 1.0260408

Computational Curriculum for MatSE Undergraduates and the Influence on Senior Classes

Conference Session: Materials Division Technical Session 1
Collection: 2018 ASEE Annual Conference & Exposition
Authors: Xiao Zhang, University of Illinois, Urbana-Champaign; Andre Schleife, University of Illinois, Urbana-Champaign; Andrew Ferguson, University of Illinois, Urbana-Champaign; Pascal Bellon, University of Illinois, Urbana-Champaign; Timothy Bretl, University of Illinois, Urbana-Champaign; Geoffrey L. Herman, University of Illinois, Urbana-Champaign; Jessica A. Krogstad, University of Illinois, Urbana-Champaign; Robert Maass, University of Illinois, Urbana-Champaign; Cecilia Leal, University of Illinois, Urbana-Champaign; Dallas R. Trinkle , University of Illinois, Urbana-Champaign; Jian Ku Shang, University of Illinois, Urbana-Champaign; Matthew West, University of Illinois, Urbana-Champaign
Tagged Topics: Diversity
Tagged Divisions: Materials

collected from the core undergraduate SIIP classes to eval-uate the effectiveness of the SIIP program, and to identify areas for future improvement.4.1 Earlier exposure to computationIn this section, we show that student feedback indicates a desire for earlier exposure to compu-tational tools. A survey question in the first class that involves computational modules MSE 201relates to the desired time to learn computational skills: • “When do you think it is the best time to learn about computational tools for materials sci- ence and engineering?”Figure 1 shows the results of the survey. It shows that after taking the first class with computa-tional modules in it, student attitude towards the desired time of learning computational

Relevance Score: 1.0224395

A Computer-Based Interactive Activity for Visualizing Crystal Structures in Introductory Materials Science Courses

Conference Session: Materials Division Technical Session 1
Collection: 2017 ASEE Annual Conference & Exposition
Authors: Susan P. Gentry, University of California, Davis; Tanya Faltens, Purdue University (Network for Computational Nanotechnology)
Tagged Topics: Diversity
Tagged Divisions: Materials

Paper ID #20127A Computer-Based Interactive Activity for Visualizing Crystal Structuresin Introductory Materials Science CoursesDr. Susan P. Gentry, University of California, Davis Dr. Susan P. Gentry is a Lecturer with Potential Security of Employment in the Materials Science and Engineering department at the University of California, Davis. In her current position at UC Davis, she is integrating computational modules into the undergraduate and graduate materials curriculum. She is specifically interested in students’ computational literacy and life-long learning of computational materi- als science tools.Dr. Tanya

Relevance Score: 0.87903625

A Multi-level Diffusion Unit: Connecting Submicro- and Macro-levels with Computational, Graphical, and Mathematical Representations

Conference Session: Computational Tools & Analysis
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Jacob Z. Kelter, Northwestern University; Jonathan Daniel Emery, Northwestern University; Uri Wilensky, Northwestern University
Tagged Divisions: Materials

Paper ID #33429A Multi-level Diffusion Unit: Connecting Submicro- and Macro-levels withComputational, Graphical, and Mathematical RepresentationsJacob Z. Kelter, Northwestern University Jacob Kelter is a PhD student at Northwestern University in the joint program between computer science and learning sciences. His research focuses on using agent-based modeling for science education and computational social science research, both related broadly to complex systems science.Prof. Jonathan Daniel Emery, Northwestern University Jonathan Emery is Assistant Professor of Instruction in Materials Science and Engineering at Northwest

Relevance Score: 0.8603407

Impact of Computational Curricular Reform on Non-participating Undergraduate Courses: Student and Faculty Perspective

Conference Session: Materials Division Technical Session 1
Collection: 2019 ASEE Annual Conference & Exposition
Authors: Cheng-Wei Lee, Univ of Illinois, Urbana-Champaign; Andre Schleife, University of Illinois, Urbana-Champaign; Dallas R. Trinkle , University of Illinois, Urbana-Champaign; Jessica A. Krogstad, University of Illinois, Urbana-Champaign; Robert Maass, University of Illinois, Urbana-Champaign; Pascal Bellon, University of Illinois, Urbana-Champaign; Jian Ku Shang, University of Illinois, Urbana-Champaign; Cecilia Leal, University of Illinois, Urbana-Champaign; Matthew West, University of Illinois, Urbana-Champaign; Timothy Bretl, University of Illinois, Urbana-Champaign; Geoffrey L. Herman, University of Illinois, Urbana-Champaign; Shengchang Tang, University of Illinois, Urbana-Champaign
Tagged Divisions: Materials

incorporate computational modules into coreclasses with large enrollment. The collaborative environment is inspired by Henderson et al.[3, 4, 5, 6], in order to support faculty members throughout different stages of adopting innovativeteaching techniques. This is done by forming a Community of Practice environment, in whichknowledge is efficiently spread and learning curves of new adopters are reduced. More details canbe found in our earlier publications [7, 8, 9].Our previous studies demonstrate the effectiveness of computational curriculum reforms.Mansbach et al. showed that students’ performance, measure by the average grade, increases afterthe reform [9]. Kononov et al. showed that while students initially expressed a desire for moreusage of

Relevance Score: 0.8543331

Impact of Integrating Computation into Undergraduate Curriculum: New Modules and Long-term Trends

Conference Session: Materials Division Technical Session 3
Collection: 2020 ASEE Virtual Annual Conference Content Access
Authors: Grace M. Lu, University of Illinois at Urbana-Champaign; Dallas R. Trinkle , University of Illinois at Urbana-Champaign; Andre Schleife, University of Illinois at Urbana-Champaign; Cecilia Leal, University of Illinois at Urbana-Champaign; Jessica Krogstad, University of Illinois at Urbana-Champaign; Robert Maass, University of Illinois at Urbana-Champaign; Pascal Bellon, University of Illinois at Urbana-Champaign; Pinshane Y. Huang, University of Illinois at Urbana-Champaign; Nicola H. Perry, University of Illinois at Urbana-Champaign; Matthew West, University of Illinois at Urbana-Champaign; Timothy Bretl, University of Illinois at Urbana-Champaign; Geoffrey L. Herman, University of Illinois at Urbana-Champaign
Tagged Divisions: Materials

Paper ID #29797Impact of Integrating Computation into Undergraduate Curriculum: NewModules and Long-Term TrendsMs. Grace M. Lu, University of Illinois - Urbana-Champaign Grace Lu is a Ph.D. student and the computational teaching assistant in the Materials Science and Engi- neering department at the University of Illinois at Urbana-Champaign. She obtained her B.A. in Physics and Math from Northwestern University. Her research in the Trinkle Group uses machine learning and a variational principle to calculate mass transport in alloys.Prof. Dallas R Trinkle , University of Illinois at Urbana - Champaign Dallas R. Trinkle

Relevance Score: 0.85025686

Incorporating the Use of a Materials Database into a Materials Science and Engineering Freshman Course

Conference Session: Computational Tools & Analysis
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Kisung Kang, University of Illinois at Urbana - Champaign; Matthew D. Goodman, University of Illinois at Urbana - Champaign; Jessica A. Krogstad, University of Illinois at Urbana - Champaign; Cecilia Leal, University of Illinois at Urbana - Champaign; Pinshane Y. Huang, University of Illinois at Urbana-Champaign; Andre Schleife, University of Illinois at Urbana - Champaign
Tagged Divisions: Materials

materials, activity examples, andexercises 12 . Graduate students have been involved in developing further database functions, andthey can draw their thesis research topics related to those works 13 .As a reply to the demand for students with database skills, we integrated a materials database intoour freshman course this year, for students to have a chance to experience on their own how thedatabase can be exploited. To this end, we modified a new computational module on crystalvisualization that was introduced to our freshman course in 2019 14 . This module helps students tounderstand and learn the atomic structure of materials and projections on crystallographic planes.Students experienced the connection between theory and experiments by

Relevance Score: 0.8433893

A Significant Learning Approach for Materials Education

Conference Session: Materials Division Technical Session 1
Collection: 2020 ASEE Virtual Annual Conference Content Access
Authors: Sayyad Zahid Qamar P.E., Sultan Qaboos University; Majid Al-Maharbi, Sultan Qaboos University; Josiah Cherian Chekotu, Dublin City University
Tagged Divisions: Materials

, and Engineering materials). This methodology,targeting significant learning experiences, can also be applied to other engineering andscience (and even non-science) courses.Keywords: Engineering education; significant learning; integrated course design; materialsscience and engineeringIntroductionModern industry and society are witnessing an ever-increasing role of materials science andengineering (MSE). A variety of engineering materials serve as basic building blocks indifferent industries. Without modern engineered materials, scientific and technologicaladvancements would not be possible in such diverse fields as automobiles and transportation,construction and structural engineering, aerospace and astronautics, health and medicine,computers

Relevance Score: 0.701352

Software Support for Materials-related Active Learning

Conference Session: Materials Division Technical Session 3
Collection: 2020 ASEE Virtual Annual Conference Content Access
Authors: Kaitlin Tyler, ANSYS Inc.; Claes Fredriksson, ANSYS Granta; Hannah Melia, ANSYS Inc.
Tagged Divisions: Materials

education in astructured course, the educators can help the students build a more complete comprehension ofthe topic. Active learning, as a broad term, serves to engage students in the course material in avariety of ways, thereby increasing the probability of connecting with prior knowledge andimproving their overall subject understanding. Due to its nature, active learning is necessarily abroad field. There is no one size fits all; different approaches work for different students withdifferent learning styles, subjects, teachers, classrooms, countries and cultural orientations. Howcan we incorporate active learning methods in teaching materials science and engineering toundergraduates across the globe?At Ansys Granta, we are interested in

Relevance Score: 0.701352

A Design Methodology For Empowering Project Based Learning

Conference Session: Teaching Methods for the 21st Century: Part 2
Collection: 2007 Annual Conference & Exposition
Authors: Richard Savage, California Polytechnic State University
Tagged Divisions: Materials

AC 2007-3119: A DESIGN METHODOLOGY FOR EMPOWERINGPROJECT-BASED LEARNINGRichard Savage, California Polytechnic State University Page 12.36.1© American Society for Engineering Education, 2007 A Design Methodology for Empowering Project-based LearningAbstractOne of our primary objectives is to equip undergraduate engineering students to besuccessful global engineers, ready to face the challenges of the 21st century. Studentsneed to develop self-directed learning skills, systems level thinking, the ability tointegrate principles of sustainability into design solutions and recognize that they serve aglobal community. Project-based learning (PBL) has been identified as an

Relevance Score: 0.7003979

Re-inventing a Mechanical Properties of Materials Laboratory Course for Online Learning

Conference Session: Hybrid and Online Learning
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Susan P. Gentry, University of California, Davis; Gianmarco Sahragard-Monfared, University of California, Davis; Edward Thomas Conley, University of California, Davis
Tagged Divisions: Materials

Paper ID #34773Re-inventing a Mechanical Properties of Materials Laboratory Course forOnline LearningDr. Susan P. Gentry, University of California, Davis Dr. Susan P. Gentry is an Associate Professor of Teaching Materials Science and Engineering at the Uni- versity of California, Davis. In her current position at UC Davis, she is integrating computational modules into the undergraduate and graduate materials curriculum. She is specifically interested in students’ com- putational literacy and life-long learning of computational materials science tools.Gianmarco Sahragard-Monfared, University of California, Davis Gianmarco

Relevance Score: 0.6545887

Teaching Materials Science Labs Online Asynchronously

Conference Session: Hybrid and Online Learning
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Surendra K. Gupta, Rochester Institute of Technology (COE)
Tagged Divisions: Materials

Paper ID #32628Teaching Materials Science Labs Online AsynchronouslyDr. Surendra ”Vinnie” K. Gupta, Rochester Institute of Technology (COE) ”Vinnie” Gupta is a professor of mechanical engineering, and a member of the graduate faculty of ma- terials science and engineering at the Rochester Institute of Technology (RIT), Rochester, NY. He is a recipient of the 2014 Robert G. Quinn Award from ASEE, and the 2000 Eisenhart Award for Outstanding Teaching. At RIT, he teaches undergraduate and graduate courses in applied mechanics, computational techniques, and materials science. American

Relevance Score: 0.654202

The Development of a Virtual Research Preparation and Professional Development Program

Conference Session: Hybrid and Online Learning
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Tiffany A Mathews, Penn State University; Kirstin Purdy Drew, Pennsylvania State University; Kristin Ann Dreyer, Center for Nanoscale Science (an NSF funded MRSEC)
Tagged Topics: Diversity
Tagged Divisions: Materials

Development & CareerExploration), which provided students with tools to “build their brand” and exposed them to thewide range of career paths one can pursue with a science or engineering degree; (2) ScientificResearch Skills, which comprised academic seminars, a scientific journal club, and hands-oneducational workshops; and (3) Community Impact and Involvement, where students developeda scientific outreach product. Here we describe the structure and content of the program, thedeliverables created, and lessons learned from this unique summer experience.IntroductionThe advent of the Covid-19 pandemic in the spring of 2020 had an immediate impact on summer2020 undergraduate experiential learning. Research experiences, internships, and other forms

Relevance Score: 0.6535274

Learning About Particle Size Characterization With A Water Pitcher Filter

Conference Session: NEW Lab Experiments in Materials Science
Collection: 2006 Annual Conference & Exposition
Authors: Gukan Rajaram, North Carolina A&T State University; Devdas Pai, North Carolina A&T State University
Tagged Divisions: Materials

2006-2031: LEARNING ABOUT PARTICLE SIZE CHARACTERIZATION WITH AWATER PITCHER FILTERDevdas Pai, North Carolina A&T State University DEVDAS M. PAI is a Professor of Mechanical Engineering at NC A&T State University and Associate Director of the Center for Advanced Materials and Smart Structures. He teaches manufacturing processes and tribology related courses. A registered Professional Engineer in North Carolina, he serves on the Mechanical PE Exam Committee of the National Council of Examiners for Engineers and Surveyors and is active in several divisions of ASEE and in ASME.Gukan Rajaram, North Carolina A&T State University GUKAN RAJARAM is a PhD student in the Department of Mechanical

Relevance Score: 0.6061504

Effectiveness of Incorporating Inquiry-Based Learning into Pre-Laboratory Exercises

Conference Session: Materials Division Technical Session
Collection: 2017 ASEE Annual Conference & Exposition
Authors: Rika Wright Carlsen, Robert Morris University
Tagged Divisions: Materials

the past with the same labs without the pre-laboratory exercisecomponent, we were unable to compare the class performance to a control group.The survey consisted of ten statements related to the laboratory exercises and the course learningoutcomes. The students were asked to rate each statement on a five point Likert scale (stronglydisagree, disagree, neutral, agree, and strongly agree). For each statement, the percentage ofstudents within each rating category was computed. The statements evaluated student perceptionof the learning process, the learning outcomes, sense of independence and personal ownership,and level of interest in research as a result of the IBL activities. The statements included in thesurvey are listed below

Relevance Score: 0.60122705

m-POGIL (modified-Process Oriented Guided Inquiry Learning) based Plastics Laboratory

Conference Session: Materials Division Technical Session 2
Collection: 2018 ASEE Annual Conference & Exposition
Authors: Spencer Seung-hyun Kim, Rochester Institute of Technology (CAST)
Tagged Divisions: Materials

in classroom. Manystudies reported the effectiveness of POGIL-based laboratories in chemistry, biosciences,engineering, and computer sciences education [5-11].We designed and improved the materials and manufacturing curriculum by the POGIL approach,supported by a NSF grant (NSF AWRARD No.: DUE- 1044794). In addition, this NSF projectcould result in establishing an intensive undergraduate research activity for the manufacturingand mechanical engineering technology programs at our institute. As a result from theassessment and evaluation of the project, we were able to identify strengths and weaknesses toreform the traditional-transmission format for students’ learning effectiveness in formative andsummative purposes. The enhanced materials and

Relevance Score: 0.60122705

Undergraduate Design and Modification of a Tensile Testing Fixture for Biomaterials

Conference Session: Active Learning and Demonstrations in Materials Education
Collection: 2012 ASEE Annual Conference & Exposition
Authors: Barry Dupen, Indiana University-Purdue University, Fort Wayne
Tagged Divisions: Materials

, the 270,000 N universal testing machine was not suitable. Instead, a 250 N tabletoptensile tester was purchased. This tester pulls specimens 80 mm long, so it required modificationto test crab shell material. The MET students were asked to design clamps to hold the crab shellsecurely without crushing it, at a predetermined gauge length. In an upcoming semester, a newclass of students will customize the software to produce meaningful results. This project wasgood training for future engineers because it helped students learn to work on an interdisciplinaryproblem for an external customer (the Biology professor) where the inputs were not all known atthe beginning.IntroductionIn the middle of the Fall 2011 semester, biology professor Dr

Relevance Score: 0.5724747

Collaborative Design Of Project Based Learning Courses: How To Implement A Mode Of Learning That Effectively Builds Skills For The Global Engineer

Conference Session: Teaching Methods for the 21st Century: Part 1
Collection: 2007 Annual Conference & Exposition
Authors: Richard Savage, California Polytechnic State University; Linda Vanasupa, California Polytechnic State University; Jonathan Stolk, Franklin W. Olin College of Engineering
Tagged Divisions: Materials

tailored to the needs of the projectand may include open-time for team discussion and problem solving, learning activities, mini-lectures with Q&A sessions, computational analysis of data as well as fabrication and assemblyof parts. There is no rigid schedule and the students work in teams composed of 4-6 students.Design Methodology for PBL ActivitiesSeven faculty spent two weeks during the summer of 2006 to develop the PBL design activitiesfor our Junior Experience. We followed a collaborative process for systematically designing eachproject-based series of activities as outlined below:Step 1: We began by identifying a profile of our customer’s needs and values. First we listed thevalues that our students have expressed over the years

Relevance Score: 0.56774175

Learning About Diffusion at Two Levels: Agent-based Microscale and Equation-based Macroscale

Conference Session: Materials Division Technical Session 4
Collection: 2020 ASEE Virtual Annual Conference Content Access
Authors: Jacob Kelter, Northwestern University; Jonathan Daniel Emery, Northwestern University; Uri Wilensky, Northwestern University
Tagged Divisions: Materials

Paper ID #30700Learning About Diffusion at Two Levels: Agent-based Micro-scale andEquation-based Macro-scaleJacob Kelter, Northwestern University - Computer Science and Learning Sciences Jacob Kelter is a PhD student at Northwestern University in the joint program between computer science and learning sciences. His research focuses on using agent-based modeling for science education and computational social science research, both related broadly to complex systems science.Prof. Jonathan Daniel Emery, Northwestern University - Department of Materials Science and EngineeringProf. Uri Wilensky, Northwestern University Uri Wilensky

Relevance Score: 0.5083594

Customizable Virtual X-Ray Laboratory: An Innovative Tool for Interactive Online Teaching and Learning

Conference Session: Materials Division Technical Session 1
Collection: 2014 ASEE Annual Conference & Exposition
Authors: Yakov E. Cherner, ATEL, LLC; Maija M. Kuklja, University of Maryland College Park; Alexander Rudy, Institute of Physics and Technology of RAS, Yaroslavl Branch
Tagged Divisions: Materials

drawbacks, since students can access only acomputer monitor and sample holder. The laboratory experimentation is reduced to installing asample, pushing the Start button and getting the final results on the computer. All steps inbetween are inaccessible for students.Virtual equipment is capable of not only overcoming this problem, but also linking theacquisition of practical skills in actual equipment operation with the learning of fundamentalprinciples and applied methodologies underlying the corresponding experimental methods and Page 24.351.2equipment design.Virtual X-ray LaboratoriesIn this research, the customizable simulation-based Virtual

Relevance Score: 0.5058725

Comparison of On-campus and Distance Learning Outcomes in a Composite Materials Course

Conference Session: Materials Division Technical Session
Collection: 2017 ASEE Annual Conference & Exposition
Authors: Matthew Cavalli, University of North Dakota
Tagged Topics: Diversity
Tagged Divisions: Materials

Paper ID #20050Comparison of On-campus and Distance Learning Outcomes in a CompositeMaterials CourseDr. Matthew Cavalli, University of North Dakota Dr. Cavalli is Professor of Mechanical Engineering and Associate Dean for the College of Engineering and Mines. In his role as Associate Dean, he oversees recruiting and K-12 outreach activities for the College as well as introductory mechanics courses. His research and teaching interests include solid mechanics and materials behavior. c American Society for Engineering Education, 2017 Comparison of On-campus and Distance Learning Outcomes in a

Relevance Score: 0.5036369

Observations on Student Performance and Learning Outcomes in a Class Project for Materials and Manufacturing Course

Conference Session: Materials Division Technical Session 3
Collection: 2017 ASEE Annual Conference & Exposition
Authors: Anu Osta, Rowan University; Jennifer Kadlowec, Rowan University
Tagged Divisions: Materials

Paper ID #18565Observations on Student Performance and Learning Outcomes in a ClassProject for Materials and Manufacturing CourseDr. Anu Osta, Rowan University Dr Anu Osta is a Visiting Assistant Professor in Mechanical Engineering Department at Rowan University. His teaching interests are Engineering Mechanics and Materials Science.Dr. Jennifer Kadlowec, Rowan University Jennifer Kadlowec is Professor and Department Head of Mechanical Engineering in the Henry M. Rowan of College of Engineering, Rowan University, Glassboro, NJ. She has been an active member of ASEE since 1998. She joined as a graduate student, after working

Relevance Score: 0.50228757

Comparison of On-Campus and Distance Learning Outcomes in a Flipped Materials Science Course

Conference Session: Materials Division Technical Session 2
Collection: 2016 ASEE Annual Conference & Exposition
Authors: Matthew Cavalli, University of North Dakota
Tagged Divisions: Materials

that met in a traditional classroom (rowsof tables bolted to the floor). Figures 1 and 2 shows one of collaboration stations in the SCALE-UP classroom and a view of the traditional classroom setup, respectively.Figure 1: Example of a student collaboration station in the SCALE-UP classroom. There were six suchstations throughout the room plus an instructor computer station.Approximately 20% of the course grade was assigned to participation in class discussions andsuccessful completion of the learning quizzes within the learning modules. All students wererequired to achieve a grade of 80% or higher on the quiz for each module to receive credit.Failure to complete a module resulted in a loss of ¼ of the participation points. Completion ofboth the

Relevance Score: 0.5020561

Comparison of On-Campus and Distance Learning Preferences in a Junior-Level Materials Science Course

Conference Session: Materials Division Technical Session 1
Collection: 2014 ASEE Annual Conference & Exposition
Authors: Matthew Cavalli, University of North Dakota; Jeremiah J. Neubert, University of North Dakota; Deborah Worley, University of North Dakota
Tagged Divisions: Materials

students are enrolling in the Distance Engineering Degree Program without a priorengineering background. The growth in the distance program, along with the changingdemographics, presents a challenge to ensure that the same quality of student learning can beachieved. Two primary purposes for this study are 1) to compare the preference for variousteaching methods between on-campus and distance learners and 2) to better understand thebackground and motivations for distance learners in the mechanical engineering department.Ibrahim and Morsi1 performed an early survey of distance engineering programs, focusingprimarily on Electrical and Computer Engineering. At the time, they found that most distanceengineering/technology courses were offered at the