American Society for Engineering Education Annual Conference and Exposition Proceedings, Montreal, Canada, June 17-19, 2002. Session 2739.9. Harding, T. S., Lai, H.-Y., Tuttle, B. L., and White, C. V., “Integrating Manufacturing, Design and Teamwork into a Materials and Processes Selection Course,” 2002 American Society for Engineering Education Annual Conference and Exposition Proceedings, Montreal, Canada, June 17-19, 2002. Session 1526.10. Abdulwahed, M. and Nagy, Z. K., Applying Kolb’s Experiential Learning Cycle for Laboratory Education, Journal of Engineering Education, July 2009, pp. 283-294.11. Jaksic, N. “Improving Self-Efficacy in Engineering Students using PLC Based Traffic Light Experiments,” 2002 American Society for
BasedLearning. Editied by H.Schmidt & M. deVolder. Maastricht, Netherlands:Van Gorcum (1984) (pp. 16-32).6 Dunlap, J.C. “Problem-Based Learning and Self-Efficacy: How a Capstone Course Prepares Students for aProfession.” Educational Technology Research and Development, 53(1) (2005).7 M. H. Elahiniaa and C. Ciocanel. “A problem-solving approach for teaching engineering laboratories.”Proceedings of the 2008 American Society for Engineering Education Pacific Southwest Annual Conference. (2008)8 J. E. Mitchell, and J. Smith. “ Case study of the introduction of problem-based learning in electronic engineering.”International Journal of Electrical Engineering Education . 45(2), (2008).9 B. Canavan. “A summary of the findings from an evaluation of
that this may be attributed tothe nature of the science laboratory courses taken by freshmen and sophomores at this institution,which consist largely of cookbook experiments. The results of this investigation indicate a needfor exposure to engineering experimental design processes sooner in the student‟s academiccareer. Page 15.1112.2 1IntroductionThe goal of this research is to contribute to our understanding of how students learn to designexperiments. This study focuses specifically on student attitudes towards an open-ended designproject because attitudes are important to issues of self
their learning experienceas and how to promote students' learning who show giftedness in the Engineering and Technology areas.Senay Purzer, Purdue University Senay Purzer is an Assistant Professor in the School of Engineering Education at Purdue University. She is also the Co-Director of Assessment Research for the Institute for P-12 Engineering Research and Learning (INSPIRE). She received a Ph.D. and a M.A in Science Education, Department of Curriculum and Instruction from Arizona State University. Her creative research focuses on collaborative learning, design & decision-making, and the role of engineering self-efficacy on student achievement.Monica Cardella, Purdue University
the New Millennium (2002) 94- 12210. L. R. Prieto, E. M. Altmaier, “The Relationship of Prior Training and Previous Teaching Experience to Self- efficacy Among Graduate Teaching Assistants” Research in Higher Education, 35[4] (1994) 361-365 Page 15.596.13
Senay Purzer is an Assistant Professor in the School of Engineering Education at Purdue University. She is also the Co-Director of Assessment Research for the Institute for P-12 Engineering Research and Learning (INSPIRE). She received a Ph.D. and a M.A in Science Education, Department of Curriculum and Instruction from Arizona State University. Her creative research focuses on collaborative learning, design & decision-making, and the role of engineering self-efficacy on student achievement.Ming-Chien Hsu, Purdue University Ming-Chien is a doctoral student of Engineering Education and a research assistant for the Institute for P-12 Engineering Research and Learning (INSPIRE) at Purdue
better in the course,and found most significantly that poor performance in chemistry or physics courses predicteddifficulties in that course.10 Finally, issues of self-efficacy have been linked to persistence, as “self-reported confidence in college-level math/science ability and the belief that an engineering degreeenhances career security at a respectable salary were found to be significant predictors of bothshort and long term persistence in engineering.”11The Center for the Advancement of Engineering conducted the Academic Pathways Study (APS),which focused on questions relating to skills identify, education and workplace.12 A nationalsurvey that resulted from APS, the Persistence in Engineering (PIE) survey13 (subsequently theAcademic
content and processes knowledge, enhance teacherattitudes and dispositions toward best teaching practices, enhance teacher self-efficacy throughattitudes of preparation in content and teaching skills, and to introduce the research-basedcurriculum.Changes in Teacher Content Knowledge—Teacher content knowledge changes were measuredwith pre/post content tests prior to and after the summer institute component of the professionaldevelopment. The tests were a mixture of multiple choice, extended answers, and in some cases Page 15.909.4performance assessments.Table 1 indicates that, overall, the 196 teachers who participated in the summer
Page 15.1020.121. A Companion to Science and Engineering Indicators 2004, National Science Foundation Report. http://www.nsf.gov/statistics/seind04/c0/c0s1.htm#c0s1l4, Retrieved on March 2005.2. National Science Foundation Statistics on Women, Minorities and Persons with Disabilities in Science & Engineering, http://www.nsf.gov/statstics/wmpd/sex.htm, accessed on Jan 2010.3. Freeman, C. E., Trends in Educational Equity of Girl s and Women: 2004. Retrieved from http://nces.ed.gov/pubs2005/equity/Section9.asp.4. Bentz, N. E., & Hackett, G. (1986). Applications of Self-Efficacy Theory to Understanding Career Choice Behavior. Journal of Social and Clinical Psychology, 4, 279-289, 1986.5. Beyer, S., Rynes, K., Perrault, J., Hay, K
. 384-395.9. Miller, R. B., DeBacker, T. K., Greene, B. A., Perceived instrumentality and academics: The link to task valuing. Journal of Instructional Psychology, 26(4), pp. 250-261, 1999.10. Husman, J. & Hilpert, J., The intersection of students’ perceptions of instrumentality, self-efficacy, and goal orientations in an online mathematics course. Zeitschrift fűr Pädagogische Psychologie. 21(3/4), pp. 229-239, 2007.11. Seginer, R., Future Orientation: Developmental and Ecological Perspectives. New York: Springer., 200912. Authors, Validating measures of future time perspective for engineering students: steps toward improving engineering education. American Society for Engineering Education Annual Conference
was recently named a “Multicultural Scholar” by the NACAC for her work on the retention of racial/ethnic minority students in higher education. In this work she will be interviewing focus groups to study gender, self-efficacy, and other affective issues in learning in materials science. Page 15.439.1© American Society for Engineering Education, 2010 Effect of Pedagogy on Conceptual Change in Repairing Misconceptions of Differing Origins in an Introductory Materials CourseAbstractDifferent pedagogies will affect how conceptual change and repair of misconceptions occurs.Taber has developed a
learn what they are taught and what they spend time doing rather than what isintended2. For example, content of the enacted curriculum is a reliable predictor ofstudent achievement gains3,4. Measures of the enacted curriculum can also be used toinvestigate the quality of instruction and curriculum implementation5. In this case westudy the enacted curriculum to try to understand where explicit integration occurs, whichin turn addresses some of the necessary pre-conditions that allow students to transferknowledge to new tasks and to situations beyond the classroom. The enacted curriculumis interesting to study using video analysis because we can review what was actuallytaught to the students and compare it to the intended curriculum. (Teacher
andincluded some that we wrote. It uses a 5-point Likert scale to measure agreement with avariety of statements, falling into several broad categories: • Societal role engineering (ex: I see engineering as addressing human needs.”) • Technical characterization of engineering (ex: “I see engineering as a career that uses lots of math.”) • Self-efficacy (ex: “I am good at technology,” or “I enjoy science.”) • Engineering education (ex: “Creative students should become engineers.”)Overall, the participants see engineering as a highly technical field offering great benefitsto humanity. They rated themselves as being proficient in pertinent technical areas, valuebalance within teams, and see teamwork as being commonplace in and
objectives, andhighly favorable perceptions of MPCT‟s relevance to real-life applications. During the Spring 2009 term, the evaluation was broadened to include instruments that examine changesin interest, self-efficacy and competence related to mathematics. Approximately 60 students completed pre-and post-course questionnaires assessing attitudes towards math and computer science. These questionnairesincluded multiple-choice and open-ended essay questions in order both facilitate quantitative analysis and toguide the selection of relevant questions for the intended Fall 2010 evaluation. Pre-survey results indicate that in addition to high confidence in programming skills, students have highconfidence in their math skills that are inconsistent
lecture-based methods of instruction, more research is needed to assessits efficacy.To address the need for more research on the efficacy of PBL, especially in STEM education, theSTEM PBL project is currently working with researchers from the University of Connecticut’sNEAG School of Education to conduct quantitative and qualitative research on the efficacy ofthe STEM PBL Challenges with regard to students’ problem-solving and critical thinking skills,metacognitive development, self-efficacy, motivation, and learning style adaptation. Researcherswill also examine the extent to which specific online professional development activitiescontribute to changes in teaching practices (i.e., transfer of training) among participating faculty.The research
on interest congruence,authority relationships, and social environments. Finally, Winkelman used learning theory tostudy self-efficacy, learning styles, and academic preparation. Winkelman’s study, well Page 15.367.10grounded in social theory, indicates the difficulty of using one model or theory to explain thevarious factors influencing females to enter the engineering profession.Illeres’ three-dimensional model may16 prove useful for increasing the number of females whobecome engineers. This model describes the learning process as having three interdependentelements: cognition, emotion, and environment. If these three dimensions of learning
, student perceptions regarding library resourcesand research self-efficacy. A review of the literature shows a wide range of case studiesexamining measured results and extrapolating the implications of such assessment. This type ofsummative, selected-response assessment can provide some indication of whether information Page 15.278.2literacy standards are being met. However to fully evaluate student proficiencies, informationliteracy assessment must also be able to assess a student’s ability to apply information literacyskills. Herein we employ the bibliometric technique of citation analysis for evaluatinginformation literacy among first-year
provide an opportunity for students to develop the skillsnecessary to succeed in college and to improve their self-confidence. On a four point scale,students’ level of confidence increased from 3.1 to 3.5 (p=.001) and their feeling of preparednessto succeed increased from 2.9 to 3.5 (p=.000). This is a remarkable and significant shift showingthat the program is instilling a sense of self-efficacy in the students.Finally, themes from the open-ended items on the end-of-course survey provide interestinginsight. Students noted that, through making mistakes in “Crossing the Boundary,” they learnedto ask for help from the teacher and from others, to work more effectively on teams, and to beginhomework early (rather than procrastinate). Common
tool - we have focused on two additionalactivities: assessing the effectiveness of MEAs in various dimensions including improvingconceptual learning and problem solving, and assessing the MEA motivated problem solvingprocess.We summarize our achievements in these five activities over the first two and half years of ourfour year project. We provide an overview of the 18 MEAs we have developed or modified.Particular emphasis is placed on our mixed measurements of student learning and achievement,including the use of pre and post concept inventories, deconstruction of MEA solution paths andconceptual understanding, rubric scoring of completed MEAs and student reflections of the justcompleted problem solving process.Introduction“Collaborative
withlongitudinal data of 22,000 students that S-L had significant positive effects on 11 outcomemeasures that included: academic performance (GPA, writing skills, critical thinking skills),values (commitment to activism and to promoting racial understanding), self-efficacy, leadership(leadership activities, self-rated leadership ability, interpersonal skills), choice of a servicecareer, and plans to participate in service after college.Eyler and Giles (1999) found S-L to impact positively: personal development, interpersonaldevelopment, and community-to-college connections. Students reported working harder, beingmore curious, connecting learning to personal experience, and demonstrated deeperunderstanding of subject matter. They found that S-L is more
mental models, giving the instructormore insight and allowing students to reflect on their learning. These sheets were later used toassess attitude, self-efficacy, and understanding by students.MeasuresBonding Module AssessmentTo obtain more specific information about student conceptions about atomic bonding, an open-ended pre-and-post topic module assessment was created. In order to develop the assessment,common misconceptions were reviewed from the literature, past research, the Materials ConceptInventory, and experiences from prior sections of the introductory materials science andengineering course. This assessment asked students to briefly describe and sketch a diagram torepresent each of the four types of atomic bonding: covalent, ionic
understanding of subject matter. They found that service-learning is moreeffective over four years and that the messiness inherent in helping solve real community-basedproblems enhances the positive effects (Eyler & Giles, 1999). Astin et al. found with longitudinal data of 22,000 students that service-learning had significantpositive effects on 11 outcome measures: academic performance (GPA, writing skills, criticalthinking skills), values (commitment to activism and to promoting racial understanding), self-efficacy, leadership (leadership activities, self-rated leadership ability, interpersonal skills),choice of a service career, and plans to participate in service after college. In all measures exceptself-efficacy, leadership, and
for significant periods of time after the presentation. Theexperience of losing self confidence after one of these situations was discussed, especially in thecontext of different approaches and behaviors, in general, exhibited by males and females andthe growth expected in each of the students over the course of a graduate program and career. Inaddition, the instructor and students discussed realistic scenarios and solutions to tackle Page 15.753.9performance anxiety and self-confidence issues. Self-confidence issues in undergraduate academic environments have been studied and self-efficacy is seen as a larger issue for women than for men18-25
measurements. • Our Mission to be Green: The Arthur Hill H.S. DIPLOMATS are researching, designing, and constructing a Michigan Natural Green Spot, consisting of a variety of floral plants, vegetables, and shrubs along with a pathway in an 80 x 130 foot area on the school’s campus. It will provide an educational space for the students and a place for the community to visit. • Underwater Remotely Operated Vehicle (ROV) Competition: Utica Community Schools students participated in the annual MATE (Marine Advanced Technology Education) Underwater ROV competition. Preparation for this starts early in the school year and extends beyond the end of the year into the summer months. In 2009, the Utica team
%) Page 15.79.5followed by brother (15.2%) and uncle (11.4%); sister, son, and grandfather each represented7.6% of entrepreneurial family members indicated. Wife, parents, and father-in-law were alsomentioned.Data CollectionThe interview protocol included questions relating to faculty beliefs of entrepreneurshipeducation focusing on the following: ≠ What are the critical components of entrepreneurship education? ≠ How do individuals develop an entrepreneurial mindset? ≠ Are necessary characteristics developed through experiences or are they inherent to an individual’s personality? ≠ How can students’ self-efficacy to be an entrepreneur be cultivated? ≠ What strategies are used in the classroom to teach entrepreneurship?A
serviceprovider.Student learning was assessed using formal and informal methods. Informal assessmentsconsisted of whiteboard presentations, open-ended questioning, demonstrations, journal write-ups, and teacher observations. These were used to guide daily activities and lessons. Formalassessments consisted of pre and post assessments. Subject produced drawings were used toelicit students’ pre- and post-program knowledge. Draw a Robot and Draw an Engineerassessments were used. A survey instrument was developed and implemented to elicit tinkeringand technical self-efficacy. An earlier developed instrument that was validated using a sample ofresponses of 200 engineers to develop the items was modified for use with youth. Observationsof project activities by