curriculumwriting portion of the EngrTEAMS: Engineering to Transform the Education of Analysis,Measurement, and Science Project. There were nine teachers that participated in all three years.Of these nine, seven had pre-interview data. These seven were invited to participate in thefollow-up interview. Six of the seven responded to our request for an interview. Table 1 providesan overview of the teachers’ demographics. Pseudonyms have been used to preserve the identityof the teachers.Table 1 Participant Background Years of Grade(s) Teaching Teacher Degree experience* taught assignment School information
pastexperience, observation, persuasion, and emotion. A link exists between self-efficacy, academic achievement, andthe ability to overcome phobias. Experiences like successes and failures, specific feedback, and scaffolded learningexperiences may increase or decrease self-efficacy in a particular skill set, which can change outcome expectations,motivation, and future goals [11].Spatial visualization has been defined in many different ways. This work utilizes Bodner and Guay’s [12] definitionof “spatial orientation factor as a measure of the ability to remain unconfused by changes in the orientation of visualstimuli,” and states, “The spatial visualization factor measures the ability to mentally restructure or manipulate thecomponents of the visual
engineering design process to meet the needs of aclient; 2) iteratively prototype a solution; 3) work collaboratively on a team; and 4) communicatethe critical steps in the design process in written, oral, and visual formats. Students work on oneproject team for the entire semester, with the focus of delivering a built and tested solution to theclient. To better understand the effects of this course, we used a quantitative evaluation process.The survey addresses how the course contributes to students’ self-efficacy and commitment infour areas: professional development, professional skills, engineering/academics, and creativity.Using a repeated-measures design, all students taking the course in fall 2018 were invited toparticipate in a survey
strategiesintended to increase student interest, achievement and persistence in engineering are based onincreasing self-efficacy, which is a better predictor of those outcomes2,3.A logical starting point for examining this topic as it relates to community college students is toexamine the relationships between conceptual knowledge of DC circuit analysis with self-efficacy for circuit analysis. An instrument was created to measure the relationship betweenself-efficacy for and conceptual knowledge of DC circuit analysis. The instrument was a three-tiered concept-inventory that included: Tier 1: Multiple choice assessment of understanding related to a DC analysis concepts. Tier 2: Multiple choice question regarding subjects’ reasoning for
and extrinsic motivation.The course-context surveys included questions related to intrinsic and extrinsic motivation,self-efficacy, study habits, task value, and peer learning. We also recorded measures of studentengagement with course content including lecture attendance (proxied by a classroom pollingsystem) and engagement with an online course discussion board.Our unique study design allows us to examine the relationships between motivation, self-efficacy,engagement, and academic performance by comparing the same individual in different contextsrather than relying on group statistics. Extrinsic motivation was strongly correlated betweencourses. Intrinsic motivation, by contrast, was only weakly to moderately correlated betweencourses. Task
ability in an engineeringlaboratory. This study uses an established survey to assess the experimental self-efficacy (ESE)of students enrolled in a fourth-year chemical engineering laboratory course at the University ofVirginia. The survey measures ESE using four factors: conceptual understanding, proceduralcomplexity, laboratory hazards, and lack of sufficient resources. Results from the ESE surveysuggest that students had higher confidence in their conceptual understanding and their ability toavoid laboratory hazards. This study also analyzes students’ troubleshooting abilities using anexisting chemical reactor system (a water gas shift reaction). Students were asked to use theexperimental equipment to perform an activity. To succeed, students
framework presented in thispaper is designed to extend the findings of Lent et al (1986) and the applicability ofBandura’s self-efficacy theory to the process of students’ ability to complete theeducational requirements of various science and engineering fields.In particular, results of this framework can be used to provide a useable means forpredicting student performance in engineering programs based on measurable parameters.The resulting model, based on the possible importance of career-related self-efficacybeliefs and other career-related variables, is expected to provide an explanation of Proceedings of the 2003 ASEE Gulf-Southwest Annual Conference The University of Texas at Arlington
appropriate since individual student cases are grouped by schools, and predictorvariables include both student-level and institution-level variables. The leadership construct,referred to as leadership self-efficacy in this work, includes self-rated growth in leadership ability,self-rating of leadership ability relative to one’s peers, participation in a leadership role and/orleadership training, and perceived effectiveness leading an organization.The primary independent variable of interest was a factor measuring engineering identitycomprised of items available on both the TFS and CSS instruments. Including this measure ofengineering identity from two different time periods in the model provides the relationshipbetween engineering identity in the
program objectives and missions.This paper reports the first longitudinal results of a survey undertaken as part of the NationalScience Foundation-funded Assessing Women in Engineering (AWE) project. The instrument isdesigned to measure undergraduate women students’ self-efficacy in studying engineering. Self-efficacy is “belief in one’s capabilities to organize and execute the sources of action necessary tomanage prospective situations" 3. Prior work from Blaisdell4 has shown that feelings ofefficaciousness can be an important predictor in the success of women studying engineering. Inour project, we developed a survey instrument designed to measure self-efficacy in engineering,feelings of inclusion and outcomes expectations, and have collected
consistently shapes their persistence and success is their advisingrelationship. The way students perceive the support they receive from this relationship caninfluence their self-efficacy concerning the competences needed to finish their dissertation, thesisor applied project report. Understanding the relationship between the student’s self-efficacytowards their culminating tasks and their perception of their advisor’s support is essential, asfrom a motivational standpoint, it can serve as a closer proxy for degree completion.This research paper presents the development and validation of the Advisor Support and Self-efficacy for Thesis completion (ASSET) survey, which measures two constructs: Thesis Self-efficacy and Advisor Support. The former
attitudes and skillsets as they relate to the makerspace. Ourresearch team surveyed 172 undergraduate students in 6 unique courses that incorporate amakerspace based project into their curriculum. These courses varied by student year,department, subject matter, and project complexity. Each student was surveyed at the beginningand end of the semester, before and after they had completed a course project in the makerspace.The survey measured students’ affect towards design, design self-efficacy, technology self-efficacy, innovation orientation, and sense of belonging within the makerspace. Survey itemswere validated through exploratory and confirmatory factor analysis. Subsequently, paired t-testswere used to analyze if, and how, these metrics
, teaching student success skills, and providingprofessional development.AcES students participate in the GRIT, LAESE, and MSLQ surveys at the start and end of eachfall semester and at the end of the spring semester each year. Focus group data is collected at thebeginning, middle and end of each semester and one-on-one interviews occur at the start and endof each semester. The surveys provide a measure of students’ GRIT, defined as perseverance forlong term goals, as well as, general self-efficacy, engineering self-efficacy, test anxiety, mathoutcome efficacy, intrinsic value of learning, inclusion, career expectations, and coping efficacy.A previous study, based on an analysis of the 2017 AcES cohort survey responses, produced asurprising result
Paper ID #15784Development of the Leadership Self-efficacy Scale for Engineering StudentsDr. So Yoon Yoon, Texas A&M University So Yoon Yoon, Ph.D., is a post-doctoral research associate at Texas A&M University. She received her Ph.D. and M.S.Ed.in Educational Psychology with specialties in Gifted Education and Research Methods & Measurement from Purdue University. Her work centers on P-16 engineering education research as a psychometrician, program evaluator, and institutional data analyst. As a psychometrician, she revised the PSVT:R (Purdue Spatial Visualization Tests: Visualization of Rotations) for
authorsused content from this course to develop a skills-based self-efficacy measure designed to exploreundergraduates’ beliefs that they can perform the tasks in this specific field. The purpose of thisstudy was to create a materials science and engineering self-efficacy scale (MSE-SE) to helppredict student achievement in both MSE courses and within the broader engineering program.It is anticipated that the collected results could be used to improve student persistence andsuccess in engineering disciplines, particularly in the first two years of engineering study beforeundergraduates specialize in mastering the engineering major they came to school to pursue.Research Objectives The objective of this study was to create a self-efficacy scale
. Traditionallyused measures of self-efficacy include The General Engineering Self-Efficacy Scale and theEngineering Skills Self-Efficacy Scale and both instruments have been proven reliable, valid,and useful in the assessment of undergraduate engineering students [23].Self-efficacy as an independent variable ESE has long been studied to determine its relation to retention, persistence, and overallsuccess among students in the field. Aleta [24] reported that students who judged their ownengineering backgrounds as strong and positive were more likely to perform well in engineeringprograms and on engineering exams, and their engineering self-efficacy was also shown to becorrelated with academic achievement. Other research has been dedicated to the
and post-attendance survey served as participants for this project (N = 204),approximately half of which were middle school students (n = 99, accounting for 48.5% of thesample). Over 60% of the respondents were female (n = 124). A majority of respondents Proceedings of the 2007 ASEE North Midwest Sectional Conference Knowing an Engineer and Engineering Self-Efficacyreported their ethnicity as Black/African-American (n = 97, or 47.8% of sample) orWhite/Caucasian (n = 86, or 42.4% of sample).Materials A survey was designed to measure demographics, engineering self efficacy, courseenrollment and extra-curricular behavior, and expectations and perceptions of the YES! Expo.Of
sustained critical investigation; and develop ideas.4.2.3 Self-efficacyFive survey items using the same prompt were used to create a composite score measuring self-efficacy. These items included: feelings that your ideas are valuable, feelings that you could“make a difference,” ability to take responsibility for your own learning; ability to succeed inbusiness or industry, and ability to function effectively in the “real world.”4.2.4 Career PreparednessSurvey respondents were asked, “How well did your project experience at WPI prepare you foryour current career?” Response options were a five-point bi-directional Likert scale from verypoorly (1) to very well (5), with an option to indicate “not applicable” if the respondent was notworking.4.2.5
, “Measuring entrepreneurial self-efficacy to understand the impact of creative activities for learning innovation,” Intl J Mgmt Educ, 12, pp. 456-468, 2014.[9] J.H. Dyer, H. B. Gregersen, and C.M. Christensen, “Entrepreneur Behaviors, Opportunity Recognition, and the Origins of Innovative Ventures,” Strateg. Entrepreneurship J, 2 (4): pp. 317–38, 2008.[10] G. Balau, D. Faems, J. van der Bij, “Individual characteristics and their influence on innovation: A literature review,” Proceedings of the 9th International Conference on Innovation and Management, Nov. 14-16, Eindhoven, The Netherlands. Eds. G. Duysters, A. de Hoyos, K. Kaminishi, Wuhan University Press, pp. 887-901, 2012.[11] A. Bolhari, & S. Tillema
Paper ID #44344Developing an Instrument for Assessing Self-Efficacy Confidence in Data ScienceDr. Safia Malallah, Kansas State University Safia Malallah is a postdoc in the computer science department at Kansas State University working with Vision and Data science projects. She has ten years of experience as a computer analyst and graphic designer. Besides, she’s passionate about developing curriculums for teaching coding, data science, AI, and engineering to young children by modeling playground environments. She tries to expand her experience by facilitating and volunteering for many STEM workshops.Dr. Ejiro U Osiobe
strengths, we choose to use a survey instrument to collect quantitative data andinterviews primarily to collect qualitative data7.Our focal research question became more detailed as we progressed. Now, our frame is this:How well can we facilitate in MAE undergraduate engineering students the development ofcommunicative self-efficacy (CSE) through ENGRC 2250 and then foster its continuingdevelopment through select junior and senior level courses in the MAE curriculum in a way thattransfers to and enables technical and professional communicative practice? CSE became theway that we choose to operationalize and test improvement in students’ ability to communicate.Simply put, using self-efficacy as a measuring stick for success is a well-established
materials to help facilitate rapid prototyping activities.After survey completion, student data were grouped into two categories based on response to questionsrelated to engineering self-efficacy. The highest responders on the engineering skills scales greater than 4on a 5-point Likert Scale were grouped as high-engineering self-efficacy, or high-ESE, and compared tothose responders that scored less than 4 on a 5-point Likert Scale as low-engineering self-efficacy, or low-ESE.Student perceptions towards different design activities were also measured. To examine the reliability ofthe scales for engineering self-efficacy, rapid prototyping, CAD, and 3D printing, the set of questionsassociated with each scale were assessed using Cronbach’s alpha test
where they think they can succeed.Students may have high-self efficacy in one area and lower self-efficacy in others. For example,some students may be very confident in their academic test taking skills but feel less so withtheir abilities to build a prototype. Carberry et al. [5] developed an engineering design self-efficacy survey instrument to assess student’s confidence, motivation, ability and anxiety toperform key steps in the design process.Experiences in overcoming specific obstacles or repeated failure can both influence one’s taskself-efficacy. Self-efficacy is not a fixed state nor a holistic measure. Therefore, introductorycurricular experiences intended to engage and retain engineering students are especially critical.Experiences
.[3] May, Vicki (2014). “Broadening the Path to Engineering,” Huffington Post. http://www.huffingtonpost.com/vicki-may/broadening-the-path-to- engineering_b_4941739.html. March 2014.[4] Mamaril, Natasha A., Usher, Ellen L., Li, Caihong R., Economy, D. Ross, and Kennedy, Marian, S. (2016). “Measuring Undergraduate Students’ Engineering Self-Efficacy: A Validation Study.’ Journal of Engineering Education. Vol. 105, No. 2, pp. 366-395.[5] Hsieh, P., Sullivan, J. R., Sass, D. A., & Guerra, N. S. (2012). Undergraduate engineering students’ beliefs, coping strategies, and academic performance: An evaluation of theoretical models. Journal of Experimental Education, 80, 196–218. http://dx.doi.org
students. But, since we often focus onteam dynamics conversations and coaching at the beginning of any team experience, we may bemissing an opportunity to provide just-in-time guidance and facilitate even greater growth ofteam skills by actively re-engaging in coaching near the end of the experience.Conclusions and Future WorkWe observe that senior design has a positive effect on self-efficacy, as gains were evident in themajority of items measured. There is, however, a time-dependency (which may suggest anexperience-dependency) of these gains. Some items saw gains only between surveys 1 and 2, andothers only between 2 and 3. This suggests that factors of the natural course progression, andperhaps the teamwork that is begun between surveys 2 and 3
motivation withrespect to problem-based learning (PBL), using expectancy-value theory as a guiding framework.Although the original study used expectancy-value theory, it is important to note that in practice,expectancy and self-efficacy are similar enough to be empirically indistinguishable [9], [19], [20].Both self-efficacy and outcome expectations “stress the role of personal expectations as a cognitivemotivator” [9]. The measurement of expectancy typically includes the individuals’ beliefs abouttheir own ability in addition to their comparative sense of competence (i.e. their competence beliefscompared to others), whereas self-efficacy focuses more on the individuals’ beliefs of their abilitywith an emphasis placed on the ability to accomplish a
. Interview data was collected, transcribed, and coded. Results of thecoding process are analyzed and shared.The authors define self-efficacy as a psychological measure of the confidence an individual hastoward their abilities in a specific activity. It is a generative ability that can be developed in anindividual through experiences such as mastery experiences and vicarious experiences. Masteryexperiences pertain to activities or tasks in which the individual is personally engaged that canhelp them develop expertise in a particular field, whereas vicarious experiences are experiencesthe individual has witnessed that can provide insight. These experiences can have either positiveor negative effects on the self-efficacy of an individual. A high level
Paper ID #39297Building Research Self-efficacy in Undergraduate Students throughAuthentic Research ExperiencesDr. Robin Lynn Nelson, University of Texas at San Antonio College of Engineering and Integrated Design at the University of Texas at San Antonio. With a Ph.D. in Interdisciplinary Learning and Teaching with a cognate in Instructional Technology and MA in Education with a concentration in Instructional Technology, her research interests lie in the intersection of active learning, broadening participation, and supporting pre-service teachers, instructors, and mentors in their classrooms and educational programming
engineering, which can tip the scales in the students’ decision orability to stay in engineering [1]. Gateway courses to advanced study in engineering, such asCalculus II, have been historically perceived by students to be the most difficult [2]. Anecdotalreasons for this could include the complexity of the calculus curriculum, the amount ofbackground knowledge needed to keep pace with learning, and lack of time for conceptexploration and engagement during class. Studies have shown that self-efficacy is morepredictive of mathematics performance than prior mathematics experiences and measures ofmathematics anxiety [3], [4].Self-efficacy can be defined as an individual's belief in their innate ability to achieve goals, andis based on both skill mastery
and exam scores betweenthe flipped and traditional classroom. Lape et. al. (2014) also performed a controlled, objectiveanalysis of an undergraduate chemical and thermal processes course and found no difference onassessments between flipped and traditional classrooms. Mason et. al. (2013) compared atraditional and flipped control systems engineering course for content coverage, studentperformance, and student perceptions. They found similar or higher levels of studentperformance and perception in the flipped classroom. With these results suggesting that there isno harm done in flipping the course, what are the benefits of flipping a course?One of the possible benefits is self-efficacy. Bandura (1997) defines perceived self-efficacy as
,” Journal of Research in Science Teaching, Vol41, No.3, pp. 267-293.[14] Meece, M., What do women want? Just Ask, The New York Times October 29, 2006.[15] Pajares, F.,Hartley, J., and Valiante, G. (2001.) Response Format in Writing Self-Efficacy Assessment: Greater Discrimination Increases Prediction. Measurement and Evaluation in Counseling and Development, 33, 214-221. Page 12.866.15