with scaffolding procedures. The scores from the survey were used as the quantified index of students’ utilization and compliance of prompt-based cooperation scaffolding. Self-Report Survey on students’ experience and satisfaction on the assigned collaborative learning. MSLQ: Motivated Strategies for Learning Questionnaire (MSLQ) by Pintrich et al. 26 contains self-reported questionnaires on motivation, self-efficacy, cognitive strategy use, metacognitive strategy use, and management of efforts. This instrument will be adopted to measure the change of students’ cognitive strategies and metacognition, motivation, and self- efficacy. Concept inventory: A concept inventory is a criterion-referenced test designed to evaluate
programmingskills that many students will need for their control systems or experimental methods courses, orbuilds on the familiarity they already have.Bibliography1 Motavalli, J. “The Dozens of Computers That Make Modern Cars Go (and Stop).” The New York Times 4February 2010: online. www.nytimes.com/2010/02/05/technology/05electronics.html2 Mercede, F.J., “Hands-on projects to introduce Electrical and Computer Engineering,” Frontiers in EducationConference, 2008.3 Cambron, M. “Using the Arduino in Freshman Design,” 6th First Year Engineering Experience Conference, 2014.4 Living with the Lab, http://www2.latech.edu/~dehall/LWTL/home/courses.html, Louisiana Tech University.5 First Year Program in Engineering, http://www1.wne.edu/engineering/index.cfm
, designated CBE 205, is a four-credit 1-semester course,structured as three 50-minute or two 75-minute interactive lecture classes per week taught by afaculty member plus a two-hour weekly problem session (recitation) conducted by a graduate Page 12.121.2teaching assistant. The text is the 2005 addition of Elementary Principles of Chemical 1Processes,2 which comes bundled with a CD containing several instructional resources and aworkbook that guides students through the solution of selected chapter-end problems. The coursecovers Chapters 1–9 of the text. In the Fall 2005 offering of CBE 205
Professor and Chair of Materials Science and Engineering at Boise State University. Dr. Callahan received her Ph.D. in Materials Science, M.S. in Metallurgy, and B.S. in Chemical Engi- neering from the University of Connecticut. Her educational research interests include materials science & engineering, freshman engineering programs, math education, and retention and recruitment of STEM majors.Dr. Barry Dupen, Indiana University - Purdue University, Fort Wayne Dr. Dupen is an Associate Professor of Mechanical Engineering Technology at Indiana University – Pur- due University Fort Wayne (IPFW). He has nine years’ experience as a metallurgist, materials engineer, and materials laboratory manager in the automotive
communications, network security, quantumcomputing, and formal approaches for design and verification. He has published more than threehundred research papers in international journals and conferences in his areas of expertise. Dr.Elleithy has more than 25 years of teaching experience. His teaching evaluations aredistinguished in all the universities he joined. He supervised hundreds of senior projects, MStheses and Ph.D. dissertations. He supervised several Ph.D. students. He developed andintroduced many new undergraduate/graduate courses. He also developed new teaching /research laboratories in his area of expertise. Dr. Elleithy is the editor or co-editor for 12 booksby Springer. He is a member of technical program committees of many international
Paper ID #15222’Lion Leadership Lessons Video Series’ - Delivering Engineering LeadershipLessons to a Broad AudienceDr. Dean H. Lang, Pennsylvania State University, University Park Dr. Lang is currently the Associate Director of the Engineering Leadership Research Program at Penn State University. She holds a BS in Mechanical Engineering from West Virginia University, an MBA from Johns Hopkins University, and a PhD in Kinesiology with a focus on Biomechanics from Penn State University. Dr. Lang’s previous professional experiences and research interests range from mechanical engineering facilities design to research that
depending on the size of the institution. Our study largely follows that ofGenheimer & Shehab but with modifications influenced by other related studies such as that ofRooney and Puerzer (ibid), Zhang and Wang7 and Gerdes and Tilley8 We created a survey instrument designed to address the objectives of IABs. One hundredABET accredited ET programs were identified, and were included in this study. We experienced Proceedings of the 2018 Conference for Industry and Education Collaboration Copyright ©2018 American Society for Engineering Education Session ETD 506a 27% return rate; 26 of these surveys were sufficiently
the undergraduate laboratory, and why?"2) "How can we improve the design of this experiment?" 3) "What are common bad habits ofspeakers you have observed?" After explaining the topic, the instructor asks students to freewritefor several minutes. Then the students tell the class what they have written. The instructor actsas a scribe, writing down their summarized comments. I have used this assignment in mytechnical communication class with the third question. It usually results in one of the bestdiscussions we have all semester. The procedure gives students time to think about theirresponses and to use writing as a means of recalling stored information. More participation, evenfrom usually reticent students, is the result. This is another
cognitive connections needed19 (Stark &Lattuca, 1997).Purpose The researcher was motivated to conduct the research study as a result of her work withhigher order thinking skills (HOTS) 25 years ago at a regional educational laboratory in Chicago,Illinois. The purpose of this research study was to examine whether a critical thinkingintervention would increase students’ critical thinking skills. This study was conducted over athree-year period as a mixed methods, quasi–experimental design examining STEM students’critical thinking skills at a Historically Black College and University (HBCU). A standardizedcritical thinking test, the Cornell Critical Thinking Test, was administered to students enteringthe Pre-Freshmen Accelerated Curriculum
theirtechnological future with the cloud. Given the growing industry demand for cloud related skills,Miami Dade College partnered with the industry leader in cloud computing solutions AmazonWeb Services (AWS). In conjunction with AWS, we developed a new cloud-based learningcurriculum designed to provide an academic gateway for the next generation of computingtechnicians to meet local and national workforce demands. The recruitment population focusedon predominantly minoritized and low-income populations. This certificate-based curriculum isdesigned as stackable for both the successful completion of a College Credit Certificate and/or anAssociate of Science in Networking Technology with a concentration in Enterprise CloudComputing.The curriculum was
an undergraduate he studied hardware, software, and chemical engineering. He ultimately received his Ph.D. from Oregon State University in Chemical Engineering. He is currently interested in the development of technology to study and promote STEM learning.Dr. Debra May Gilbuena, Unaffiliated Debra Gilbuena has an M.BA, an M.S, and four years of industrial experience including a position in sensor development. Sensor development is also an area in which she holds a patent. She has engineering education research focused on student learning in virtual laboratories and the diffusion of educational interventions and practices.Dr. Jeffrey A Nason, Oregon State University Jeff Nason is an associate professor of
in the state of Louisiana.Bill Elmore, Mississippi State University BILL ELMORE, Ph.D., P.E., is Associate Professor and Hunter Henry Chair, Mississippi State University. His teaching areas include the integrated freshman engineering and courses throughout the chemical engineering curriculum including unit operations laboratories and reactor design. His current research activities include engineering educational reform, enzyme-based catalytic reactions in micro-scale reactor systems, and bioengineering applied to renewable fuels and chemicals.Walter Bradley, Baylor University WALTER BRADLEY is a Distinguished Professor of Mechanical Engineering at Baylor University. He has a B.S
be able to utilize the experience from the virtual lab to navigate data collection andanalysis when in a physical fluidized bed unit operations lab with more confidence andunderstanding. Therefore, the fluidized bed virtual lab can be incorporated into a course as anadditional educational resource.BackgroundEducation Traditional education consists of lecturing and lab sessions, where students can havehands-on experience with equipment that enhances the theories taught in lectures, but there aresome drawbacks. The main disadvantages of physical unit operation labs are space, accessibility,and cost. However, as technology advances, the capabilities of virtual platforms expand tocounter the previously mentioned flaws. For Chemical
technical document athttp://www.mathworks.com/help/matlab/matlab_prog/memory-allocation.html.BiographyMADDU KARUNARATNE received the BS degree in electronics and telecommunication engineering from theUniversity of Moratuwa and the MS degree in electrical engineering from the University of Mississippi. He earned aPh.D. in electrical engineering from the University of Arizona. Before joining Pitt-Johnstown in 2004, he gainedfifteen years of industry experience working in the semiconductor industry performing software development,application engineering, design and testing of digital integrated circuits. He has authored numerous publications andholds a few US patents. He is the department chair and the professor of electrician and computer engineering
cheating6 Using a computer/laptop during in-class tests 4.2 0.0 4.2 54.2 37.5 makes the tests more like engineering practice.7 Allowing students to use laptops during tests 4.2 16.7 45.8 25.0 8.3 favors students who can afford them8 The use of computers during tests should be 4.2 0.0 8.3 62.5 25.0 allowed when the tests take place in a computer laboratory.9 The use of laptops during tests should be allowed 8.3 12.5 8.3 50.0 20.8 when the tests take place in a regular classroom.N= 25Additional statistical information can be obtained by using a chi square test to compare responsesto pairs of questions. The chi
Environmental Engineering at Oregon State University. He is involved in the development of technology-based educational systems, particularly in the areas of concept-based instruction, adaptive learning, and interactive simulation of physical phenomena.Julie Tucker Dr. Tucker earned her B.S. in Nuclear Engineering from the University of Missouri – Rolla. She attended graduate school at the University of Wisconsin – Madison as a Naval Nuclear Propulsion Fellow, where she received her M.S. and Ph.D. in Nuclear Engineering with a minor in Materials Science in 2008. After graduation, Dr. Tucker spent five years as a Principal Scientist at Knolls Atomic Power Laboratory in Schenectady, NY studying the thermal stability of structural
2017 ASEE Mid Atlantic SectionSpring Conference: Morgan State University, Baltimore, Maryland Apr 7 Paper ID #20818Improving fluid intelligence critical thinking via spatial reasoning ability incommunity college pre- engineering physics classesProf. Vazgen Shekoyan Dr. Vazgen Shekoyan is a professor of physics and his experiences include pedagogy, CubeSat, etc.Dr. sunil Dehipawala, Queensborough Community College Sunil Dehipawala received his B.S. degree from University of Peradeniya in Sri Lanka and Ph.D from City University of New York. Currently, he is working as a faculty member at Queensborough Community College of CUNY.Dr
engineeringeducators of the fruitful results from cognitive sciences. We can further evaluate the theories inengineering education setting as many of them were developed for other disciplines in a laboratorysetting. Those results could serve as stepping stones for us to tackle challenges in engineeringeducation.BackgroundEinstellung means “set” in German and the Einstellung effect is referred to the brain’s tendency toadopt the most familiar solution (set) to a problem and ignore alternatives. Such mechanization inproblem solving was first investigated through the well-known water jar experiment conducted in1940 [1] . Several problems solvable by a complex procedure (a set) were presented to participants.Then an easy problem which can be solved by a
courses, we determined that we would not be able to simply adapt theapproaches used to develop these survey instruments into a new survey for cybersecurity. Instead,we would need to first identify how students relate to a course in cybersecurity. Therefore, wechose to first perform a qualitative study of students enrolled in an introductory cybersecuritycourse and then use those results to inform our development of the quantitative tool. 14Initial Qualitative StudyOver the course of a semester, we performed 3 rounds of semi-structured interviews with studentsenrolled in an introductory cybersecurity course designed for upper division undergraduate andfirst year graduate students. 7,27 Our goal was to discover those topics and experiences that
, Army Research Laboratory (ARL) Au- tonomous Systems. Dr. Rodriguez received his Ph.D. in Electrical Engineering from the Massachusetts Institute of Technology in 1990.Ms. Anita Grierson, Arizona State University Anita Grierson is the Director of the METS Center in the Ira A. Fulton Schools of Engineering at Arizona State University. She guides the activities of the METS Center and oversees its staff of engineering transfer students. Ms. Grierson has over twelve years corporate experience in Program Management, Business Development, and Biomechanical Engineering, with products as diverse as air bag systems for
AC 2010-686: MOTIVATED ENGINEERING TRANSFERS – STEM TALENTEXPANSION PROGRAM (METSTEP)Mary Anderson-Rowland, Arizona State University MARY R.ANDERSON-ROWLAND is the PI of an NSF STEP grant to work with five non-metropolitan community colleges to produce more engineers, especially female and underrepresented minority engineers. She also directs three academic scholarship programs, including one for transfer students. An Associate Professor in Computing, Informatics, and Systems Design Engineering, she was the Associate Dean of Student affairs in the Ira a. Fulton School of Engineering at ASU from 1993-2004. She received the WEPAN Engineering Educator Award 2009, ASEE Minorities Award 2006, the SHPE
coursetechniques to integrate these six skills into a more virtual learning experience using varioushands-on activities both individually and as a group. This paper shares techniques for faculty tobe more innovative as we live in the new "normal" with an increase in hybrid and online courses.Each activity is designed to not only cement a programming skill (or skills) but integrate EMskills with special attention to making connections between abstract programming concepts andthe real-world examples to help ground those concepts for all students and allow students tounleash their creativity. These techniques introduce (1) gamification, (2) students taking controlof their learning, and (3) encouragement of creativity which will hopefully spark their
Geology from UC Santa Barbara and has Master’s Degrees in Marine Geology, GIS/ Marine Resource Management from Moss Landing Marine Laboratories and Oregon State University.Jill Marie Zande, Marine Advanced Technology Education (MATE) Center Jill Zande Associate Director & ROV Competition Coordinator Marine Advanced Technology Education (MATE) Center VP Education and Research Marine Technology Society (MTS) Jill Zande is the Associate Director and ROV Competition Coordinator for the Marine Advanced Tech- nology Education (MATE) Center and the current VP of Education and Research for MTS. At the MATE Center, Jill’s role is to work closely with industry to ensure that educational programs are aligned with
transferring to a four-year institution, or portrayed as academically underpreparedand require taking academic remediation5,6.The goal of this work is to develop a conceptual model to describe African-American malestudents’ motivation, persistence, and academic success in community colleges. This model willinclude academic, institutional, psychological, and personal factors that may positively andnegatively impact the students’ academic experiences.1. IntroductionAccording to the Schott 50 State report on public education and black males7 in the last thirtyyears, the African-American male (AAM) group has seen more systemically devastatingoutcomes in the social, economic, and academic arenas than any other racial, ethnic or gendergroup. According to
1997, with a research emphasis in Boiling Heat Transfer. His current activities focus on improvement of undergraduate laboratory education, including new experiments, instrumentation, and pedagogy in Fluid Mechanics and Thermal Sciences, as well as introducing Uncertainty Analysis into the undergraduate curriculum. Page 12.432.1© American Society for Engineering Education, 2007 Curricular Assessment Using Existing On-Campus Information DatabasesAbstractAssessment of engineering program success is critical for continual improvement. While thisassessment can take
distinct disciplinary patterns2. This research training is central to transformingthe student into a producer of knowledge, so much so that departments design specializedtraining programs to meet the needs of individual disciplines3.The majority of engineering graduate students spend their graduate school years as part of aresearch group4. These groups are generally organized around the research specialty of aprimary advisor, or collaboration between faculty advisors, depending on the size of the researchgroup5. Doctoral students, master’s students and post doctoral researchers work together underthe guidance of these faculty advisors, often in shared laboratory and office spaces6. It’s thisgroup environment where the majority of student learning
(always an academic staff member or high-quality postgraduateconsidered have been decided upon, estimating their dollar tutor), were held twice a week and again could last for up tovalue is a relatively simple exercise. one hour each. About 50 students were allotted in eachIt is when considering the ‘outputs’ of a tutorial system that session. The computer terminals could be accessed by studentsproblems arise for they are difficult to identify and even harder at any time the computer laboratory was open and a terminalto measure accurately. Some outputs can be measured with
82 Accident Reconstruction: A Model-Eliciting Activity in Dynamics Collin Heller and Brian Self California Polytechnic State University, San Luis ObispoAbstractTypical assignments in a traditional dynamics course often do little to motivate students or togive them an indication of how they would use the material in a future job situation. Manyinstructors are now attempting to provide motivational projects, hands-on demonstrations, andeven laboratory assignments to increase understanding and
-on activities to K-12 (primarily targeted at upper elementary students)students around the state. It provides an engineering experience for children and practiceteaching experiences in a technologically oriented subject for college students.“Investigations Through the Iowa Cable Network (ICN)” is a non-credit class, offeredthrough distance education to high school students around the state, relating topics fromhigh school chemistry, physics, and mathematics to applications in engineering. Eachsession includes a faculty-led, hands-on engineering experiment and an interactive careerawareness component conducted by a current ISU engineering student. Future projectsinclude development of for-credit engineering courses taken by high school
difference between the two modes is thelevel of complexity and access to many features. In editor mode (see Figure 1), an authorhas unrestricted access to a full-featured vector graphics editor that includes the Mind-Matrix semantic information manager. The student mode hides a lot of unneededcomplexity from the student and focuses their attention on the substance of theknowledge map task (see Figure 2). Accordingly, students who interact with a mappingtask do not see all the vector graphics drawing tools, and many fewer controls populatethe interface. The intent is to focus student attention on the concepts and relationshipsamong concepts.There are many ways to utilize the Mind-Matrix in instruction including allowingstudents to design knowledge