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Displaying results 31 - 60 of 3607 in total
Conference Session
Teacher Attitudes, Beliefs, & Self-efficacy
Collection
2018 ASEE Annual Conference & Exposition
Authors
Tamara J. Moore, Purdue University, West Lafayette; Siddika Selcen Guzey, Purdue University, West Lafayette; Amanda C. Johnston, Purdue University, West Lafayette; Murat Akarsu, Purdue University, West Lafayette; Peter Wesley Odom, Purdue University, West Lafayette; Maurina Loren Aranda, Purdue University, West Lafayette; Richard Lie, Purdue University, West Lafayette
Tagged Divisions
Pre-College Engineering Education
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
Conference Session
Engineering Design Graphics Division (EDGD) Technical Session 1
Collection
2024 ASEE Annual Conference & Exposition
Authors
Katrina Carlson, Michigan Technological University; Michelle E. Jarvie-Eggart, Michigan Technological University; Kyla Richardson, Michigan Technological University
Tagged Divisions
Engineering Design Graphics Division (EDGD)
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
Conference Session
First-Year Programs: Metacognition, Self-Efficacy, and Motivation #2
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Megan Gray, Duke University; Ann Saterbak, Duke University; Sophia T. Santillan, Duke University; Michael Rizk, Duke University; Jessica Sperling, Duke University
Tagged Topics
Diversity
Tagged Divisions
First-Year Programs
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
Conference Session
Two-year College Division: Authors Address Transfer Matters-Part I
Collection
2015 ASEE Annual Conference & Exposition
Authors
Carl Whitesel, Mesa Community College; Adam R. Carberry, Arizona State University
Tagged Divisions
Two Year College Division
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
Conference Session
Student Motivation, Identity, and Resilience
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Matthew J. Ford, Cornell University; Hadas Ritz, Cornell University; Elizabeth M. Fisher, Cornell University
Tagged Divisions
Educational Research and Methods
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
Conference Session
Chemical Engineering Division (ChED) Technical Session 9: Student Experiences in Laboratory Courses
Collection
2023 ASEE Annual Conference & Exposition
Authors
Caroline Crockett, University of Virginia; George Prpich, University of Virginia; Natasha Smith P.E., University of Virginia
Tagged Divisions
Chemical Engineering Division (ChED)
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
Collection
2003 GSW
Authors
Chun-Ling Huang
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
Conference Session
Advancing Research on Engineering Leaders’ Confidence, Careers, and Styles
Collection
2019 ASEE Annual Conference & Exposition
Authors
William J. Schell IV P.E., Montana State University; Bryce E. Hughes, Montana State University; Brett Tallman P.E., Montana State University; Emma Annand, Montana State University; Romy M. Beigel, Montana State University; Monika B Kwapisz, Montana State University
Tagged Topics
Diversity
Tagged Divisions
Engineering Leadership Development
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
Conference Session
Undergraduate Retention Activities
Collection
2005 Annual Conference
Authors
Rose Marra; Cherith Moore; Mieke Schuurman; Barbara Bogue
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
Conference Session
Graduate Studies Division (GSD) Technical Session 3: Mentorship and Communication in Engineering Graduate Programs
Collection
2023 ASEE Annual Conference & Exposition
Authors
Abimelec Mercado Rivera, Arizona State University; Mayra S. Artiles, Arizona State University; Samantha Ruth Brunhaver, Arizona State University
Tagged Topics
Diversity
Tagged Divisions
Graduate Studies Division (GSD)
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
Conference Session
Design in Engineering Education Division: Postcard and Student Essays
Collection
2019 ASEE Annual Conference & Exposition
Authors
Roxana Maria Carbonell, University of Texas, Austin; Madison E. Andrews, University of Texas, Austin; Audrey Boklage, University of Texas, Austin; Maura J. Borrego, University of Texas, Austin
Tagged Topics
Diversity
Tagged Divisions
Design in Engineering Education
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
Collection
2020 ASEE North Central Section conference
Authors
Joseph Dygert, West Virginia University; Melissa Lynn Morris, University of Nevada - Las Vegas; Robin A.M. Hensel, West Virginia University
Tagged Topics
Diversity
, 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
Conference Session
Assessment I: Developing Assessment Tools
Collection
2016 ASEE Annual Conference & Exposition
Authors
So Yoon Yoon, Texas A&M University; P.K. Imbrie, Texas A&M University; Teri Kristine Reed, Texas A&M University
Tagged Divisions
Educational Research and Methods
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
Conference Session
Materials Division Technical Session 1
Collection
2015 ASEE Annual Conference & Exposition
Authors
Marian S. Kennedy, Clemson University; Natasha Mamaril, University of Kentucky; David Ross Economy, Clemson University; Ellen L. Usher, University of Kentucky; Caihong Li, University of Kentucky; Julia L. Sharp, Clemson University
Tagged Topics
Diversity
Tagged Divisions
Materials
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
Conference Session
Undergraduate Track - Technical Session V
Collection
2018 CoNECD - The Collaborative Network for Engineering and Computing Diversity Conference
Authors
Monica Evette Allen, University of North Carolina, Charlotte; Sandra Loree Dika, University of North Carolina, Charlotte; Brett Tempest, University of North Carolina, Charlotte; Miguel A. Pando, University of North Carolina, Charlotte
Tagged Topics
Diversity, Undergraduate Education
. 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
Collection
2007 North Midwest Section Meeting
Authors
Susan Amato-Henderson; Jessica Mariano; Pete Cattelino; Brian Hannon
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
Conference Session
Cooperative and Experiential Education Division (CEED) Technical Session 4
Collection
2024 ASEE Annual Conference & Exposition
Authors
Kimberly LeChasseur, Worcester Polytechnic Institute; Fiona Levey, Worcester Polytechnic Institute; Ahmet Can Sabuncu, Worcester Polytechnic Institute; Alireza Ebadi, Worcester Polytechnic Institute; John McNeill, Worcester Polytechnic Institute
Tagged Topics
Diversity
Tagged Divisions
Cooperative and Experiential Education Division (CEED)
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
Conference Session
NSF Grantees Poster Session
Collection
2024 ASEE Annual Conference & Exposition
Authors
Azadeh Bolhari, University of Colorado Boulder; Angela R Bielefeldt P.E., University of Colorado Boulder
Tagged Topics
Diversity, NSF Grantees Poster Session
, “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
Conference Session
DSA Technical Session 5
Collection
2024 ASEE Annual Conference & Exposition
Authors
Safia Malallah, Kansas State University; Ejiro U Osiobe, Baker University; Zahraa Marafie, Kuwait University; Patricia Henriquez-Coronel; Lior Shamir, Kansas State University; Ella Lucille Carlson, Kansas State University; Joshua Levi Weese, Kansas State University
Tagged Topics
Data Science & Analytics Constituent Committee (DSA)
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
Conference Session
Teams, Teaching, Leadership, and Technical Communications in Mechanical Engineering
Collection
2017 ASEE Annual Conference & Exposition
Authors
Traci M. Nathans-Kelly, Cornell University; Rick Evans, Cornell University
Tagged Divisions
Mechanical Engineering
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
Conference Session
Entrepreneurship & Engineering Innovation Division Technical Session 7
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Andrea T. Kwaczala, Western New England University; Robert Gettens, Western New England University; Denine A Northrup, Western New England University
Tagged Topics
Diversity
Tagged Divisions
Entrepreneurship & Engineering Innovation
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
Conference Session
First-Year Programs: Maker Spaces in the First Year
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Jennifer S Mullin, UC Davis
Tagged Divisions
First-Year Programs
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
Conference Session
Design Methodologies 1
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Vicki V. May P.E., Dartmouth College; Ryan Michael Chapman, Dartmouth College
Tagged Topics
Diversity
Tagged Divisions
Design in Engineering Education
.[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
Conference Session
Chemical Engineering Division Poster Session
Collection
2016 ASEE Annual Conference & Exposition
Authors
Elif Miskioglu, Bucknell University
Tagged Divisions
Chemical Engineering
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
Conference Session
First-Year Programs: Metacognition, Self-Efficacy, and Motivation #2
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Racheida S. Lewis, University of Georgia; Holly M. Matusovich, Virginia Polytechnic Institute and State University
Tagged Divisions
First-Year Programs
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
Conference Session
Postcard Session: Experiential Learning as a High-Impact Student Experience
Collection
2018 ASEE Annual Conference & Exposition
Authors
Addison J. Litton, Utah State University ; Wade H. Goodridge, Utah State University; Benjamin James Call, Utah State University; Sarah E. Lopez, Utah State University
Tagged Divisions
Cooperative and Experiential Education
. 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
Conference Session
Improving Retention & Self-Efficacy through Experiential Learning and Research Programs
Collection
2023 ASEE Annual Conference & Exposition
Authors
Robin Lynn Nelson, University of Texas at San Antonio; Karina Ivette Vielma, The University of Texas at San Antonio; JoAnn Browning, The University of Texas at San Antonio
Tagged Topics
Diversity
Tagged Divisions
Cooperative and Experiential Education Division (CEED)
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
Conference Session
Mathematics Division Technical Session 3: Diversity in Mathematics Education
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
John Kerrigan, Rutgers University; Lydia Prendergast, Rutgers University; Jillian A.S. Mellen, Rutgers University; Geraldine L. Cochran; Antonio D. Silva
Tagged Topics
Diversity
Tagged Divisions
Mathematics
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
Conference Session
Thermodynamics, Fluids and Heat Transfer II
Collection
2017 ASEE Annual Conference & Exposition
Authors
Karim Altaii, James Madison University; Colin J. Reagle, George Mason University; Mary K. Handley, James Madison University
Tagged Divisions
Mechanical Engineering
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
Conference Session
Climate Issues for Women Students
Collection
2007 Annual Conference & Exposition
Authors
Stephen Krause, Arizona State University; Dale Baker, Arizona State University; Chell Roberts, Arizona State University
Tagged Divisions
Women in Engineering
,” 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