of a homework assignment that will be used the next class session for discussion and ahands-on activity. This sequence exposes students to subject matter in an iterative approach torepeatedly allow students the opportunity to experience expectation failure.The learning theory literature is replete with studies showing that when students experienceexpectation failure, followed by a time of thorough and investigative feedback loops, learninggains are increased almost fourfold, from 20-30% to nearly 80%1. In addition, based uponstudent persistence theory24, common student experiences are developed for both ET content andthe social learning aspect of higher education to create learning-communities for the gatewaystudents2. Problems of a
engineering program. Based on the similarities between new engineers’ and co-opstudents’ work environments, we hoped to extrapolate how ready the average engineeringstudent is for the information-seeking skills and tasks required in their first post-graduation job.The Association of College and Research Libraries’ Information Literacy Standards shaped ourframework, specifically the standard addressing students’ ability to “[a]ccess the neededinformation effectively and efficiently”.1 Using an online survey to learn more about thenecessary information skills and tasks, we asked students whether they felt adequately preparedfor on-the job information retrieval. This paper details our use of those findings to support thedevelopment of initiatives and
Page 22.737.1 c American Society for Engineering Education, 2011 Gender and Engineering in the Americas ABSTRACTThe Organization of American States proclaimed the year 2010 as ¨The Inter-American Year of Women¨ 1 tocommemorate the 10th anniversary of the adoption of the Inter-American Program on the Promotion of Women’sHuman Rights and Gender Equity and Equality, as well as the 35th anniversary of the first United Nations’ WorldConference on Women during the International Women’s Year, and the 15th anniversary of the last UnitedNations’ World Conference on Women celebrated in Beijing in 1995. The intent of the proclamation was tobroadly
physics mechanics skills. The resulting set of physics mechanicstopics for which engineering faculty members expected student mastery are listed in Table 1.Table 1. First-year Physics Mechanics Topics Determined by Engineering Faculty Members Free Body Diagram Newton’s Second Law Newton’s Third LawUsing this set of topics and the original problems to guide the authors about the expectations ofthe engineering faculty members, the authors created a 16-question, alpha version of aninstrument to assess student abilities with respect to expectations. Several of the problems camedirectly from the MBT since faculty had provided a limited set of direct physics mechanics-related questions. The instrument was then reviewed by two of the
satisfactionreports coupled with final course grades or retention rates or student-reported learning gainscoupled with faculty perceptions.Implications and ConclusionsThe preceding review of approaches to assessment point to two significant issues facingengineering educators concerned with first year programs.1. Outcomes surrounding retention and support for success currently dominate theliterature.The dominance of these issues suggests that they represent one clear point of consensus amongfirst year educators with respect to course goals and desired outcomes. Retention itself is oneclearly identifiable metric, though approaches to measurement (self-reports versus institutionaldata) vary slightly. Approaches to satisfaction and motivation, however, are more
were collected with undergraduate studentsparticipating in Engineering Projects in Community Service (EPICS) teams in spring 2010,yielding 257 completed surveys and 112 pairs of pre and post self-reported data. The datacontain self-reported CDTL efficacy as well as information on individual background, teamprocesses and outcomes. Data analysis aims at three important issues at the individual level: 1)validation of the CDTL efficacy scale, 2) assessment of the nature of change in individual CDTLefficacy, and 3) exploration of factors that explain the change in individual CDTL efficacy.Factor analysis was conducted to assess the factor structure of the CDTL efficacy scale and thereliability of each factor. A reliable three-factor CDTL efficacy
summary are evaluated by a jury consisting of alumni and individualsfrom related industry. Projects are evaluated based on their technical aspects as well as the abilityof the group to communicate their findings. The final grade is determined by a committee madeup of faculty advisors. In a typical semester in the second course approximately 1-5 projects haveprovisional patents filed to protect significant intellectual property. Students are expected todemonstrate both technical design skills and soft skills including project management,professional interactions with sponsors, technical writing and oral communication, and teammanagement.Students in the MIE department are organized into cohorts with common schedules. One MEgroup (referred to as the
Multi-level Multi-dimensional Perspective with Mental ModelsAbstractEntrepreneurship education programs typically include a large range of student outcomesincluding knowledge, skills, and attitudes as well as outcomes that go beyond the classroom.Because of the extent of inclusions and the broad range of effects, assessing the effectiveness ofentrepreneurship education programs is frequently challenged. Based upon Block and Stumpf[1]’s idea of “hierarchy of criteria” for evaluation, the main purpose of this research is to providea multi-level multi-dimensional perspective that systematically investigates factors related to thesuccess of entrepreneurship education programs. Such programs, in turn, can stimulate and bringsuccess to new
enough. He states, “There is no prize for solving correctly what may turn out tobe the incorrect problem. It is important to acquire the skills to solve the correct problem behindthe perceived problem, and this entails more than left-brain thinking alone.”[1] In fact, theseright-brain skills, which include competitive differentiation, business adaptability, innovationand the development of a growth culture, and strategic thinking, are the “key competenciesrequired to differentiate business in the next two to five years.” [2]As engineering programs strive to meet the challenge of “Educating the Engineer of 2020”, wemust acknowledge that the next several decades will offer more opportunities for engineers, andas educators, we must make a shift in
scores obtained are used to assess how students’understanding of core concepts has improved by taking the course.Two separate exams were developed as part of the he SSCI effort: one that focused on ContinuousTime (CT) concepts and the other on Discrete Time (DT) concepts. Since the systems we hadstudents develop used discrete time signal processing, we had the students take only the DT- DTSSCI exam. This exam has 25 questions in total and the students are given 1 hour to completethe exam. Each ach question assesses students’ conceptual understanding of a core concept ratherthan students’ ability to perform mathematical calculations. The questions
activities to help teach the concepts. No fewer than sixactivities were created for each grade level, K-5. RAMP-UP follows Dr. John Dewey’sexample that math could be learned through everyday activities such as cooking. [1]Following this philosophy, common items found in the home were used to create several,original activities. For example, toothpicks and marshmallows are used for both aKindergarten and a fifth grade activity where the students build 2D and 3D shapesrespectively. Another very popular activity called, Diaper Hold’em© teaches studentsabout liquid volume and the SI and English metric systems using kitchen turkey basters,yellow colored water and diapers. The activities are neatly packaged with instructionsand worksheets (as necessary
" is studied. The response of a linearsingle degree of freedom spring-mass system to a pulse can be made identically zero for all timesgreater than a certain one by the application of a second pulse with a suitable phase difference.Some effects of spring non-linearities on the linear model predictions are given. Assessment wasachieved by noting students better and fuller understanding of the basics.IntroductionOther articles on the use of simulation in engineering education exist. See for example, the workof Fraser et al. 1 on simulation in fluid mechanics. Questions from the Fluid Mechanics ConceptsInventory 2 (FMCI) identified some student conceptual difficulties. A simulation involving theseconcepts was developed and its efficacy was
Page 22.248.2(Gardner & Hatch, 1989). 1. Word Smart: Linguistic Intelligence 2. Number Smart: Mathematical Intelligence 3. Picture Smart: Visual Intelligence 4. Body Smart: Kinesthetic Intelligence 5. Music Smart: Musical Intelligence 6. People Smart: Interpersonal Intelligence 7. Self Smart: Intrapersonal Intelligence All schools, colleges and universities appreciate the need, importance and impactof linguistic and mathematical intelligences at almost every stage of a learner’seducational career. Reading, writing and a working knowledge with numbers areconsidered as essential foundation for establishing a strong base of general knowledge.However, the next three, namely, visual, kinesthetic
: Characteristic # 1: Emphasizes Content and Delivery of Instruction Characteristic # 5: Develops appropriate learning experiences Page 22.250.5 Two other characteristics have recorded an unacceptable mode value of 2 indicating thatthere is plenty of effort is needed. One should take a closer look as to why these two show suchpoor values. Consulting with other colleagues may be of help in this case. These twocharacteristics are: Characteristic # 3: Integrates across disciplines Characteristic # 6: Incorporates Diverse Strategies In conclusion, the data provides the instructor with ideas that may necessitate changes
-funded summer Biomedical Engineering Research Experience for Undergraduates(REU) at the Illinois Institute of Technology. Over the ten week program, students wereexpected to complete a challenging research project focused on engineering approaches to thestudy and treatment of diabetes and its complications while working with the faculty mentor. Inthis paper, we describe our five-year experience with the research program, preliminaryassessment of project goals, and observations on what constitutes a positive research experience.1.0 Introduction Undergraduate research experiences have the potential to influence the career plans andmotivation of young engineers and scientists.1 The National Science Foundation (NSF) andmany other institutions
awareness of societal and contemporary issues and fulfill community and society’sneeds”.IntroductionThe Mechanical Engineering program at Baker College has recently gone, successfully, throughthe ABET reaccreditation process. While the assessment processes we have been using forProgram Educational Objectives and Program Outcomes are adequate, faculty reevaluated howeffective the assessment was for certain Program Outcomes. As stated in the ABET 2009-2010“Criteria for Accrediting Engineering Programs” 1, “Engineering programs must demonstratethat their students attain” the (a) - (k) Program Outcomes. Out of these outcomes, ProgramOutcome (j) requires that students attain “a knowledge of contemporary issues”. Several paperspresented at the ASEE
thedesired learning outcomes for these internships? Is there a way to assess those outcomes withoutadding a huge burden onto faculty and students?Internships are a type of “experiential learning,” similar in some ways to service learning.Internships were identified as a high impact educational practice in a recent Association ofAmerican Colleges and Universities publication1. There are six student behaviors required byhigh impact practices thought to significantly improve student learning: 1. Invest significant time and effort 2. Demand interaction with faculty and peers about substantive matters 3. Result in an experience of diversity through extensive contact with people very different from themselves 4. Receive and respond to
): Page 22.254.2 “Assessment requires attention to outcomes but also and equally to the experiences that lead to those outcomes.” In other words, the important aspect to observe here is that one has to move away from ateaching paradigm to learning paradigm. The author takes this philosophy further, and says: “Students should learn using a discovery approach.” Clifford O. Young, Sr., & Laura Howzell Young of California State University, SanBernardino argue that a new paradigm for assessment, a learning paradigm, must be constructedto measure the success of new kinds of educational practices (Young and Young, 1999). 1. The participants should be capable of selecting an assessment plan best suited for
campuses (see Figures 1 and 2). While six-year graduation rates at theUniversity are disappointing, the rates for African American (38.7%) and Latino (39.9%) malesare truly dismaying and unacceptable. The retention and six-year graduation rate in the Collegeof Engineering is even lower than the university overall, particularly for African American andLatino students.As a result of an examination and reflection on the causes of the low retention and graduationrates, the College established the 15x12 Initiative, with the goal of increasing our graduation rate15% by the year 2012. We decided to focus on improving the effectiveness of our first-yearexperience (FYE) programs, as well to complete a major overhaul of our advising systems andmethods. This
the survey link, and they in turn distributed thelink to their membership via email. Therefore, the exact number of potential respondentssolicited is unknown and the response rate to the survey cannot be calculated. A total of 58responses were received, which likely reflects a very low response rate. Of the 58 responses Page 22.256.4received, 30 of those answered yes to the initial question indicating their involvement in hiring orpromotion of construction personnel.Responses to questions 2 through 8 were assigned numerical values for analysis, ranging from avalue of 5 for “strongly agree” to a value of 1 for “strongly disagree”. A “neutral
22.257.7References: 1. Batchelor, G. K. (1967) An Introduction to Fluid Dynamics. Cambridge, United Kingdom: Cambridge University Press. 2. Arfken, G. (1985) Gauss's Theorem. Mathematical Methods for Physicists, 3rd edition. Orlando, FL: Academic Press. 3. Durran, D. R. (1999) Numerical Methods for Wave Equations in Geophysical Fluid Dynamics. New York, New York: -Springer-Verlag. 4. Narayanan, Mysore (2007) Assessment of Perceptual Modality Styles. Proceedings of ASEE National Conference, Honolulu, Hawaii. 5. Narayanan, Mysore (2009) Assessment of Engineering Education based on the Principles of Theodore Marchese. Proceedings of ASEE National Conference, Austin, Texas
. Over a periodof several years, data was collected for 22 students groups. A bar chart was generated basedon Likert Scale. 1. Expertise and Experience of the Student Group 2. Incorporates the Principles of Total Quality Management 3. Promotes and Integrates Across Disciplines 4. Challenges and Motivates Active Learners 5. Creates a Supportive Educational Environment 6. Uses Modern Techniques and Technology Appropriately 7. Designs Appropriate Assessment Techniques 8. Uses Resources Intelligently and Comprehensively 9. Encourages Group Dynamics and Flexibility 10. Develops Appropriate Service Learning Experiences 11. Supports Diversity
of competencies in effective oral and written communication skills. Thesenior capstone project, which typically assesses teamwork, now requires students to write animpact statement that is used in the assessment of skills such as identification of need and thepositive and negative impacts on humankind, environment, and economy. Rubrics to assess andevaluate these soft-skill learning outcomes, along with findings from the current semester whereavailable are presented in the paper.IntroductionOver the years, the engineering profession and engineering education has changed and evolvedto meet technological, economical, workforce, global, and societal challenges. Several nationalorganizations such as the National Academy of Engineering (NAE)1 and
student population. Preliminary results suggest that whilefemales have, on average, higher overall grades in the course as well as higher overall GPAs,their gains as measured by the FCI are lower than those achieved by male students. A discussionof the significance of these results will be presented and possible issues related to this apparentgender discrepancy will be proposed.I. INTRODUCTION An essential function of teaching is the promotion and enhancement of student learning.Traditional teaching methodologies have clearly been shown to put students in a role of passiverather than active learning [1]. Traditional instructional methods have also been shown to bevery inadequate in terms of promoting deep learning and long-term retention
students to modify theirbehavior to improve their effectiveness on teams. This paper describes an attempt to measureprogress towards the goal of leveraging peer and self-evaluations to change student behavior.The Comprehensive Assessment of Team Member Effectiveness (CATME)1 was developedusing extensive university research. A web-based survey at www.catme.org makes it possible tocollect data on team-member effectiveness in five areas that research has shown to be important. 1. Contributing to the team’s work 2. Interacting with teammates 3. Keeping the team on track 4. Expecting quality work 5. Having relevant knowledge, skills and abilitiesThis tool was implemented in a junior level product design class. The
through the levels ofBloom’s Taxonomy and Bloom’s Revised Taxonomy (see Figure 1 below) in an effort to achievemastery.Drawing 1: Bloom's Taxonomy Drawing 2: Bloom's Revised Taxonomy Drawing by A Churches Drawing by A Churches Figure 1, Blooms original and revised taxonomy graphics2We looked for available and relevant videos. There was no such material evident within theschool, but searches did turn up some similar material such as those from Georgia Tech(Jonathon Colton) on NDSL – National Direct Science Library3 (general search for ‘resistancewelding’) though access to this material has recently been removed from public. There may berelated commercial videos, but we’ve not found
% students said they were muchmore interested, or somewhat more interested, in pursuing engineering/ technology careers.MethodologyThe basic research question addressed is whether service-learning can attract and keepunderrepresented groups in engineering education programs. The population studied is the entireundergraduate student body at a medium-sized college of engineering at a state university. Theenrollment for the 2009-2010 academic year is estimated at 1271 full time students (institutionalresearch department). The “treatment” is the integration of S-L courses into existing requiredcore courses in five departments over the last six years.The number and timing of the courses with S-L projects is summarized in Figure 1, which is bestviewed in
participants followedby the Financial attitude, the Subjective norm, and the Social attitude. The findings are discussedand recommendations for future studies are offered.IntroductionIn December 2010, The Economist issued an article titled “The disposable Academic: Whydoing a PhD is a waste of time”, arguing about an oversupply of PhDs. Between 1998 and 2006,PhD production increased especially in Mexico, Portugal, Italy and Slovakia and the number ofgranted doctorates in all OECD countries grew by 40%, compared with 22% for America. Forinstance in Japan, the number of PhDs increased by 46%1.Meanwhile, a scarcity of research can be found investigating the intention to pursue a doctoraldegree. Churchill and Sanders2 identified five motivational
and increase awareness about shipbuilding and repair careers. Fourmarine kits and four instructional modules were developed under these two grants to encouragecreative thinking and keep students engaged in shipbuilding and repair processes. The teachertraining component of these projects has provided training in using and implementing thesemodules. The paper presents the motivation behind developing these project based learning(PBL) modules, issues related to implementation and results from student and teacherworkshops.Key wordsProject Based Learning; Workforce Development; STEM Education; Shipbuilding Industry.1. Introduction Old Dominion University, Norfolk State University and Longwood University incollaboration with marine industry