, manystudents quickly find themselves so far behind in the reading that they can no longer catch up. A reading log system where content responsibility is progressively shifted from theinstructor’s questions to student identification and reflection has been developed andimplemented in junior-level Fluid Mechanics and Thermodynamics courses to address several ofthe issues associated with student use of the textbook. The goal of the reading log is to improvestudent use of resource material and to provide opportunities for students to develop skills inreading scientific material. Reflective questioning, guided identification of key concepts,probing questions and cyclic problems are some of the tools that are used to stimulate student useof the
-solvingmodels. The models are expressed in specific terms, with the goal of making theprocesses of problem solving explicit, and thereby allowing educators to reflect on andincorporate the detailed processes of the models into effective instructional practices.The four models presented here are fleshed out in a manner that strives to present theirelements in a uniform terminology and at a comparable level of expression. Formulatingthis level of descriptive consistency across the four models was a necessary step indeveloping a coding table that would allow a consideration of the adequacy of the modelsand meaningful comparisons of the models to students’ problem solving behaviors, whichreflect the goals of this study summarized above. The problem solving
common learning styles of engineeringstudents and traditional teaching styles of engineering professors”21 all of our students completedFelder’s learning styles inventory, wrote about the impact of their learning preferences, and wenoted which learning styles were more or less likely to make use of Video AI. We found that ourstudents were predominately active/sensing/visual/sequential learners (see Figure 7) which issimilar the “average” engineering student according to Felder. 200 180 Verbal 160 Reflective Intuitive
,problem solving skills, reflective thinking skills, and also gives them a meaningful andconceptual understanding of the topic.1,4,6,7 Thus, case-based instruction gives students a betterunderstanding of the material presented and allows them to have a smoother transition to thework force by allowing students to learn to apply material rather than memorize it.5,7Overall, case-based instruction has been used in numerous ways in the engineering field withencouraging results.9 However, using case-based instruction is a technique that requires moreeffort and more research in the engineering field. Specifically, the implementation of cases andthe perceptions of students about this approach is an area where more research should focus. Thecurrent
laboratory course often lead to last-minute writing withlittle time spent in reflection and review2. Stephen Brookfield3 speaks to the heart of the teacherwhen he describes our motivation to instill habits of self-evaluation and peer evaluation. “Sooner or later students leave the intellectual enclave of higher education and return to the workaday world. For them to have acquired the habit of examining their own work critically as a detached observer is an incalculable benefit”. “Likewise, for students to have learned something of the art of peer evaluation – of giving helpful critical insights to colleagues and intimates in a manner that affirms rather than shames – develops in them in them a capacity that will be sought out by their peers
and optimized thepotential learning that the FE learning modules provide.The Kolb model shown in Figure 1 describes an entire cycle around which learning experiencesprogress Abstract Hypothesis and Conceptualization, Active Experimentation, ConcreteExperience, and Reflective Observation. Figure 1. Kolb learning cycle.The FE learning modules developed in this work are designed to span a spectrum of differentmanners in which students learn. Felder-Silverman Index of Learning Styles50 are composed offour dimensions (active/reflective, sensing/intuitive, visual/verbal, and sequential/global).Richard M. Felder and Linda K. Silverman formulated the index to assess the learning style of anindividual. ALPs are designed
calculations in order to get computation timedown to a reasonable level. From the experiments the wave number was determined to be1 = 3.8 which is 43% higher than in the simulations. However, the simulations reflect thegeneral roll cell patterns observed in the experiments. The students have learned through thisprocess that it sometimes can be difficult to get good agreement between experimental andsimulated results.AssessmentThere were ten students enrolled in the ME 433 Heat Transfer course. Two projects were givenwith five students in each project. Each student had to write an individual project report at thetime of the completion of the project. The project contributed to ten percent of the final grade inthe course. One of the projects has been
. The group also demonstrated a lot of cognitive and superficial elaboration as well. This group outperformed the passive superficial group on both near (p=0.1) and far transfer (p=0.05).In our study, homework problems are similar to worked examples. The exams, which make up80% of the final grade, tend to look like homework problems; therefore final grades may be usedas a rough indicator of near transfer. The concept inventories represent far transfer tests sincethey require a more conceptual understanding. • The Help Seekers reflect the active meta-cognitive group. They are aware of their misunderstandings and seek to resolve them. Mastery appears to be their goal. • The SI Dependent group is much like the passive
relationship between engineering measurement and 2 7 engineering design and theory. I feel that as the result of the REU program, I now have considerable __ 7 „hands-on‟ experience in engineering.****A five-point scale from Strongly Agree (5) to Strongly Disagree (1) was used. This table reflects the number whochecked a 5 or 4. Page 13.1242.8**Questionnaires for the “Before” measurement were completed on the afternoon of the First Day on campus,following an orientation session. “After” questionnaires were completed on the Final Day, after all REU activitieswere completed
-0442614, and in partby the University of Texas at Austin College of Engineering and the Cullen Trust EndowedProfessorship in Engineering No. 1. Also, support is acknowledged from the Institute forInformation and Technology Applications (IITA) at the US Air Force Academy. In addition, weacknowledge the support of the Department of Engineering Mechanics at the U.S. Air ForceAcademy as well as the financial support of the Dean’s Assessment Funding Program. Anyopinions, findings, or recommendations are those of the authors and do not necessarily reflect theviews of the sponsors. Page 13.979.9Bibliography[1] Prince, M., “Does Active Learning Work? A
approaches of hand calculation or simplified modeling techniques. Consequences of such dependence is that when, as inevitably occurs, a problem appears that does not fit into the capabilities of the package, the user is at a dead loss at how to progress to a solution or alternatively shoe horns the problem into a form that can be solved but which does not accurately reflect the original problem. Avoidance of Analysis Software Problems and generally good design practice. Pre-Analysis Analysis : This paper advocates a process whereby before any software is assigned to a task the student engineer is required to generate ‘ball park’ solutions using only pencil and paper. To make students proficient at this, design
education for over 70 years. Its new criteria for the evaluation of engineeringprograms, Engineering Criteria 2000, require implementation of sustainability concepts inundergraduate education, as reflected in the following areas (criteria 3c and 3h) (1): ‚" “Ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability;” ‚" “Broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context.”Limited work has been conducted to address the need, effectiveness, and impact of incorporatingsustainable engineering
, an open environmentmust be fostered during the entire course to enable the instructor to have the feedback necessaryto interject appropriate instruction to the student. A second challenge is the capital investment inthe project is large as bioengineering experiments are costly. Third, it requires buy-in from allthe professors involved. Nevertheless, this laboratory experience ultimately created theconnection between the theory and physical world.AcknowledgementThis work was supported by a National Science Foundation Course Curriculum and LabImprovement award (DUE-0633648). All opinions expressed within are the authors’ and do notnecessarily reflect those of the National Science Foundation.Bibliographic Information1. Kiefer, K., Silverberg, L
ME467 Energy Conversion at the Air Force Academy for theircogent and insightful questions regarding the Mathcad functions.DisclaimerThe views expressed are those of the authors and do not reflect the official policy orposition of the U.S. Air Force, Department of Defense or the U.S. Government.References1Dixon, G.W., Teaching Thermodynamics without Tables—Isn’t it Time?, 2001 ASEE Annual Conference& Exposition, paper 2001-2266.2Maixner, M.R., and Havener, G., Thermal Fluids Systems Engineering at the United States Air ForceAcademy, 2004 ASEE Annual Conference & Exposition, paper 2004-2266.3 Maixner, M.R., Interactive Graphic Depiction of Working Fluid Thermal Properties Using Spreadsheets
subjects identified by the Engineering Accreditation Commission(EAC) as professional skills.IntroductionIn the past decades, significant strides have been made toward the development andimplementation of innovative strategies aimed at achieving excellence in undergraduate science,technology, engineering, and mathematics (STEM) education. Such efforts reflect theoverarching vision that the health of the U.S. economy in the 21st century directly depends on thenation’s ability to maintain its technological leadership in increasingly demanding, complex, andcompetitive international markets.Recent studies conclusively demonstrate that America’s technological infrastructure must betransformed in order to maintain “a diverse, competitive, and globally
. Also, SOLEfacilitates the development of learning environments, which in conjunction with traditionalhands-on experiments – allow the expansion of the scope of the students’ laboratory experiencewell beyond the confines of what would be feasible in the context of traditional laboratories.For the reasons stated above, SIT has implemented a new undergraduate engineering curriculumthat reflects the latest trend towards enhancement of traditional lecture-based courses with both adesign spine and a laboratory experience propagating through the entire educational program toexpand educational opportunities for a larger number of students. Use of such tools can promotecollaborative learning, enhance critical thinking skills and give every student an
arethoseof the author(s) and do not necessarily reflect the views of the National ScienceFoundation.References1. Chappell, Joseph and Keith Woodbury. Introducing Excel Based Steam Table Calculations into Thermodynamics Curriculum, Proceedings of the 2008 ASEE Annual Conference & Exposition. June 2008, Pittsburgh, PA.2. Wagner, W, J. R. Cooper, A. Dittmann, J. Kijima, H.-J. Kretzschmar, A.Kruse, R. Mares, K. Oguchi, H. Sato, I. Stocker, O. Sifner, Y. Takaishi, I. Tanishita, J. Trubenbach, Th. Willkommen. The IAPWS Industrial Formulation 1997 for the Thermodynamic Properties of Water and Steam, Transactions of the ASME, Vol. 122, p. 150-182. ASME, January 2000.3. Cengel, Yunus A. and Michael A. Boles. Thermodynamics: An
such as timelines, responsibility charts, etc. 4. Students will be able to participate effectively in multi-disciplinary teams, demonstrating that they are effective team members and evaluating the performance of team members.Students self assess their achievement of the course outcomes, with a 0 indicating nomastery and 10 very proficient. The results of the student self assessment and instructorgrade based assessment of the course outcomes are shown in Figure 8 for the spring 2007capstone class. A target score of 8.0 for each outcome reflects student demonstration ofcompetence in these professional components. Students’ self-evaluation was consistentlycomparable (slightly higher or lower) to faculty evaluation, and