36 We hope to add more data about the demographics and admissions attributes of the students who opt to take the preLUsion LWE…. Different SAT? Is it advisable to do a pre-program assessment about their engineering identity, self efficacy? Or is this time before the semester of their first year begins not the time to ask? Would it undermine their success? What else can be done? A gauge for the success of the program might be inherently in the fact that women keep signing up for this preLUsion. ○ Is this simply a self-selecting group of excellent students? We don’t know. ○ Want to normalize our data, to determine if preLUsion women doing better than the
fundamentals , and some may have “second thoughts” about the time and effortrequired by projects and the interpersonal conflicts they experienced in team work, particularlywith teammates who fail to devote the time and effort required to get the job done properly. Inaddition, if the project work is done entirely in groups, some of the students may be lessequipped to work independently.Intertwining PBL with Problem-Based( The Hybrid Approach):Curricula with highconcentration of Project Based Learning intertwined with Problem Based Learning wereassessed at the University of Louvain(30). The assessment measures included pretests andposttests of students’ basic knowledge, understanding of concepts and the ability to apply them.Also, students’ self
profession.AcknowledgementsThe work described in this paper has been funded by the Educational Research and MethodsDivision (ERM) of the American Society for Engineering Education through the ERM mini-grant program, by the Kern Family Foundation, and by the Templeton Foundation in conjunctionwith the Center for Academic Integrity. The E3 Team is grateful for the support.Bibliography1. Ajzen, I. (2002). Perceived behavioral control, self-efficacy, locus of control, and the Theory of Planned Behavior. Journal of Applied Social Psychology, 32(4): 665-683.2. Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50: 179-211.3. Ajzen, I. (2002). Attitudes, Personality, and Behavior. Buckingham, England: Open
. Self-efficacy of studying physics was decreased. There was nochange in motivation, willingness to work in groups, and willingness to ask for help. Page 14.596.16 Table 5. Pre-post assessment of self-assessed abilities and skills. Figure 11. Change of self-assessed ability and skill.ICE program participants perceived that the most challenging barrier of being a successfulengineering student was an intense course schedule. Difficulties with time management, poorhigh school preparation, ability to compete with top students, and financial stress followed
,” Science Education, vol. 101, no.3, pp. 486–505, 2017. [4] K.B. Wendell, C.G. Wright, and P. Paugh, “Urban elementary school students’ reflective decision-making during formal engineering learning experiences”. Proceedings of the 2015 American Society for Engineering Education Annual Conference and Exposition, Seattle, WA. [5] J. Gale, M. Alemdar, J. Lingle, S.H. Newton, R. Moore, and J. Rosen, “Developing engineering proficiency and self-efficacy through a middle school engineering course”. Proceedings of the 2018 American Society for Engineering Education Annual Conference and Exposition, Salt Lake City, UT. [6] M. Honey, G. Pearson, and H. Schweingruber, (Eds.), STEM integration in K-12 education: Status, prospects
andposttests of students’ basic knowledge, understanding of concepts and the ability to apply them.Also, students’ self-efficacy, satisfaction with the curriculum, attitudes towards team work,instructors teaching practices, and the impact of the “hybrid” curriculum( project/problem-based) on the instructional environment. The results of the Louvain assessment are extremelysupportive of the “hybrid” (project/problem-based) curriculum. Students in the “hybrid”curriculum expressed their satisfaction with the new curriculum, because: they received a lot ofsupport from the instructors, saw more connections between theory and practice became morewilling to use autonomous learning strategies, and were less reliant on rote memorization relativeto students in
group (Figure 5). From Figure 4,and as summarized in Table 6, the respondent group as a whole preferred engineering technologyteams for Process Improvement projects, engineering teams for Engineering Analysis projects,and interdisciplinary teams for the remaining Project Categories. These survey results areconsistent with the ASME continuum shown in Figure 1. Additionally, Figure 5 shows thatengineering technology students have a higher level of perceived self-efficacy (averaged acrossall five Project Categories) compared to engineering students. Figure 4. Survey results for whether a team comprised of students from a single discipline (E-only or ET-only) will outperform an interdisciplinary team for the given Project Category. Responses
. Pintrich, P. R. A Motivational Science Perspective on the Role of Student Motivation in Learning and Teaching Contexts. J. Educ. Psychol. 95, 667–686 (2003).18. Hagemeier, N. E. & Murawski, M. M. An instrument to assess subjective task value beliefs regarding the decision to pursue postgraduate training. Am. J. Pharm. Educ. 78, (2014).19. Artino, A. R. & McCoach, D. B. Development and Initial Validation of the Online Learning Value and Self- Efficacy Scale. J. Educ. Comput. Res. 38, 279–303 (2008).20. Garcia, T. & Pintrich, P. R. Assessing students’ motivation and learning strategies in the classroom context: The Motivated Strategies for Learning Questionnaire. Altern. Assess. Achiev. Learn. Process. prior
.Kuhn, D. (2010). What is scientific thinking and how does it develop? In U. Goswami (Ed.) Handbook of ChildhoodCognitive Development, Chapter 19, p. 497-523. 2nd Ed. Wiley-Blackwell.Lawson, A. (1978). The development and validation of a classroom test of formal reasoning. Journal of Research inScience Teaching, 15(1), 11–24. doi:10.1002/tea.3660150103.Lawson, A. (2004). The nature and development of scientific reasoning: a synthetic view. International Journal ofScience and Mathematics Education, 2(3), 307–338. doi:10.1007/s10763-004-3224-2.Lawson, A. E., Banks, D. L., & Logvin, M. (2007). Self-efficacy , reasoning ability , and achievement in collegebiology. Journal of Research in Science Teaching, 44(5), 706–724.Tiruneh, D. T., De Cock
21 100%Of the 21 students, 10 were granted full scholarship to attend, one received a half-scholarship,and the remaining 10 paid the full amount. In addition, the gender composition is shown below: Gender N % Male 15 71.4% Female 6 28.6% Total 21 100%The overall program demographics indicate a lower percentage of under-represented minoritygroups in STEM (28%) while the female population composed 36% of the population.Of the 21 students enrolled in this section, 19 were given parental permission to take the exit(self-efficacy) survey
paper.Conclusions and discussionIn this paper we reported on three studies that focused on examples of adding ClassTranscribeinto multiple engineering classes with multiple goals of improving digital accessibility,self-efficacy in the course (i.e., self confidence and self-beliefs in succeeding in their major) andeffectiveness (at all levels of student ability). Learning outcomes and examples of adoption werepresented under a diverse set of educational uses including use as a primary source of lecturecontent (CS, Spring 2019), secondary or supplemental review of recorded live lectures (ECE,CS,Fall 2019,Spring 2020) and pre-lab training for lab techniques and equipment use(Bioengineering, Spring 2020). Per-student learning data was used with gradebook data
engagement, student self-efficacy, and mastery of learningobjectives. The benefits of this transition are examined through instructor observation, surveys,and a final written exam. During the two semesters of implementation, it was observed thatstudents were more engaged in class, studied more outside of class, performed better on the finalwritten exam, were more positive about learning, and felt that the instructor cared about theirindividual success. In the second semester, an assessment experience survey was developed andadministered to measure the efficacy of the oral assessments in increasing total learning andengagement. Currently in the third semester of implementation, additional survey and behaviordata is being collected to quantify these
thescholarship. In addition, many of the activities develop to enhance the learning experience of thescholars has been opened up to all ET students to participate. Such exposure and experienceimproved the self-efficacy of the selected scholars and their friends enrolled in the program. Theretention and timely graduation rate of these selected scholars are phenomenal. Their leadershipquality also influenced the mindsets of their friends, many of them are from non-traditional students’population, just like them. In summary, we feel our SETS project achieved its goal and positivelyenhanced scholars’ learning experience on campus and transformed our targeted programs. In thispaper, the project team shares the hurdles they have to handle when external
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
-fold effect: first,the denial of access to post-secondary education, and second, a lack of self-efficacy in Blackstudents regarding educational attainment because of the prolificacy of negative stereotypesabout their achievement4. Steele and Aronson’s5 work on stereotype threat supports the notionthat knowledge of negative stereotypes about the achievement of Blacks can, in turn, lower thatachievement. Steele and Aronson found that when Black students were tasked with completing astandardized test that they were told measured intelligence, they consistently scored significantlylower than their White American counterparts. When they were instead given a standardized testand were told that the test did not measure intelligence, Black students
., & Hido, B. (2010). Re-enJEANeering STEM education: Math options summer camp. Journal of Technology Studies, 36(1), 35.11. Dell, E., Bailey, M. B., O’Hurley, S., Lillis, R. P., Khol, B., Garrick, R. D., & Christman, J. (2011). WE- IMPACT- women in engineering- improving program assessment tools for outreach and retention programs. Proceedings from the 2011 American Society for Engineering Education Annual Conference & Exposition. Vancouver, BC: ASEE.12. Fantz, T. D., Siller, T. J., & DeMiranda, M. A. (2011). Pre-collegiate factors influencing the self-efficacy of engineering students. Journal of Engineering Education, 100(3), 604-623.13. Gilbride, K. A. Kennedy, D. C., Waalen, J. K., & Zywno, M. (1999). A
achievement measures, the authors found weak relations between the amount ofhomework assigned and student achievement, and positive relations between the amount ofhomework students completed and achievement, especially at upper grades (6-12). Hoover-Dempsey et al.[13] reviewed research on parental involvement in student homework, and foundthat parents involve themselves in student homework because they believe that they should beinvolved, believe that their involvement will make a positive difference, and perceive that theirchildren or children's teachers want their involvement. Unfortunately, the first-generation collegestudents fail to get that at TAMIU. Leone and Richards[17] found that in instructive practice,homework plays a critical, long-term
Crystallization “ – where students studied crystallization of supersaturated sodium acetate solutions and determined latent heat fusion (also known as enthalpy of fusion).• “Heating Stainless Steel Wire” – where students measured deflection of the steel wire during passing the electrical current through it to detect demonstrate phase transformation form BBC to FCC.• “Synthesis of NiTi Shape Memory Alloys” – where students carried out the synthesis and characterization of the shape memory response of NiTi-based Shape Memory Alloys. Students worked in the laboratory of Prof. Ibrahim Karaman, a faculty in the Department of Mechanical Engineering. Figure 2.• “Heat Treatment: Knife Blade “ – where students investigated the heat treatment necessary to
) abroad, which could provide further insight as to why graduatestudents scored lower than undergraduates.D. Skills-Intercultural CompetencyAn overall frequency report of the percent change between the pre- and post-developmental Intercultural Development Inventory (IDI) scores was generated to betterunderstand the distribution of scores amongst the graduate (pre n=23, post n=19) andundergraduate (pre n=26, post n=20) student groups. Actual and perceived competenciesare reported, only the former are used herein. The hope of measuring the IDI pre- andpost- fieldwork would be to see some improvement to show that the students engaged inthese programs are gaining a better understanding of how to work with someone who hasa different worldview
Report 33, no. 5 (January 2008): 65-78.[6] Betty Leask (2006): Plagiarism, cultural diversity and metaphor—implications for academic staff development, Assessment & Evaluation in Higher Education, 31:2, 183-199[7] Janice Payan, James Reardon, and Denny E. McCorkle (2010) The Effect of Culture on the Academic Honesty of Marketing and Business Students, Journal of Marketing Education December 2010 32: 275-291,[8] James Ogilvie (2007). The Application of Self-Efficacy and Deterrence Theory to Academic Misconduct: An Examination of Plagiarism among Australian University Students. Honours Thesis. Griffith University. Page
2023,shortly after they completed their respective interventions.SurveysTo understand the interventions’ impact on sense of belonging and engineering identity, programparticipants responded to a retrospective pre- and post-questionnaire that combined two validatedsurvey instruments: Godwin’s [9] engineering identity scale and Hanauer et al.’s [11] measure ofpersistence in the sciences (PITS). The PITS combines five other validated instruments thatmeasure project ownership-emotion, project ownership-content, science identity, self-efficacy,scientific community values, and networking on a five-factor scale. These variables have beenshown to predict psychological factors that influence students’ intent to stay in science andengineering
University of Washington, Seattle. Her research interests in engineering education focus on the role of self-efficacy, belonging, and instructional support on engagement and motivation in the classroom while her engineering workplace research focuses on the role of relatedness, autonomy, and competence needs on persistence and fulfillment.Sep Makhsous, University of Washington ©American Society for Engineering Education, 2024 A Comparative Analysis of Natural Language Processing Techniques for Analyzing Student Feedback about TA SupportAbstractThis paper advances the exploration of Natural Language Processing (NLP) for automatedcoding and analysis of short-answer, text-based data collected from
program for the social, behavioral, and biomedical sciences,” Behavior Research Methods, vol. 39, no. 2, pp. 175–191, May 2007, doi: 10.3758/BF03193146.[38] M. Hainselin, A. Aubry, and B. Bourdin, “Improving Teenagers’ Divergent Thinking With Improvisational Theater,” Front. Psychol., vol. 9, p. 1759, Sep. 2018, doi: 10.3389/fpsyg.2018.01759.[39] J. A. Mourey, “Improv Comedy and Modern Marketing Education: Exploring Consequences for Divergent Thinking, Self-Efficacy, and Collaboration,” Journal of Marketing Education, vol. 42, no. 2, pp. 134–148, Aug. 2020, doi: 10.1177/0273475318822087.[40] P. Felsman, S. Gunawardena, and C. M. Seifert, “Improv experience promotes divergent thinking, uncertainty tolerance, and affective well
learning," 2016 IEEE 8th International Conference on Engineering Education (ICEED), Kuala Lumpur, Malaysia, 2016, pp. 137-142, doi: 10.1109/ICEED.2016.7856059.[19] E. F. Redish, “A Theoretical Framework for Physics Education Research: Modeling Student Thinking,” Paper presented at the International School of Physics, "Enrico Fermi", Course CLVI, Varenna, Italy, July 15-25, 2003.[20] Y. Jin, J. Sun, H. Ma and X. Wang, "The impact of different types of scaffolding in project-based learning on girls' computational thinking skills and self-efficacy," 2021 Tenth International Conference of Educational Innovation through Technology (EITT), Chongqing, China, 2021, pp. 362-366, doi: 10.1109/EITT53287.2021.00077.[21] A. Saparon, B. C
Paper ID #43282Students’ Use of The Engineering Design Process to Learn Science (Fundamental)Mr. Diallo Wallace, Purdue University Diallo Wallace is currently pursuing a Ph.D. in Engineering Education at Purdue University focusing on the benefits of integration of physics first and engineering curriculums for student self-efficacy in engineering. Diallo holds a Bachelor of Science in Electronics Engineering and a Bachelor of Arts in Mathematics from the University of Illinois. At the graduate level, he has attained a Master of Science in Astronautical Engineering from the Naval Postgraduate School and a Master of Project
curriculum 36. self-‐efficacy project-‐based learning 37. professional skills performance 38. persistence science 39. collaborative learning mathematics Page 22.1026.14 40. stem java Table 2. Top 40 keywords most frequently occurring keywords in FIE_sample and FIE_totalFigure 2. Frequency distribution of keywords from FIE_sample: 2005 to 2010. Graph plotted ona semi-log scale to clarify location of the top 40 ranking keywords.Figure 3
, anddemonstrated deeper 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
]Coutinho, S. (2008). Self-Efficacy, metacognition, and performance. North American Journal ofPsychology, 10(1), 165-172. [11] Schoenfeld, A. H. (1987). What's all the fuss about metacognition? In A. H. Schoenfeld (Ed.), CognitiveScience and Mathematics Education (pp. 189-215). Hillsdale, NJ: Erlbaum. [12] Selden, A., Selden, J., Hauk, S., & Mason, A. (2000). ‘Why can’t calculus students access their knowledgeto solve nonroutine problems? In E. Dubinsky, A. H. Schoenfeld & J. J. Kaput (Eds.), CBMS Issues in MathematicsEducation: Research in Collegiate Mathematics Education IV. Providence, RI: American Mathematical Society. [13] Weber, K. (2001). Student difficulty in constructing proofs: The need for strategic knowledge
Problem-Based (The Hybrid Approach): Curricula with highconcentration of Project -Based Learning intertwined with Problem -Based Learning wereassessed at the University of Louvain.(30) The assessment measures included pretests andposttests of students’ basic knowledge, understanding of concepts and the ability to apply them.Also, students’ self-efficacy, satisfaction with the curriculum, attitudes towards teamwork,instructors’ teaching practices, and the impact of the “hybrid” curriculum (project / problem-based) on the instructional environment. The results of the Louvain assessment are extremelysupportive of the “hybrid” (project / problem-based) curriculum. Students in the “hybrid”curriculum expressed their satisfaction with the new curriculum
indirect method of measuring gains in skills for service-learningvs. non-service learning students. Proceedings of the 2013 ASEE Gulf-Southwest Annual Conference, The University of Texas at Arlington, March 21 – 23, 2013. Copyright 2013, American Society for Engineering EducationTable 1. Studies documenting service learning benefits for engineering students, and relatedABET outcomesService Studies Documenting Related ABET OutcomeLearning Service Learning Benefit forBenefit Engineering Students1) Improved Borg and Zitomer, 2008 9; (a) An ability to apply knowledge ofability to apply Budny and Gradoville, 2011