Conference Session

Pre-college Engineering Education Division Technical Session 7

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Malle R. Schilling, Virginia Polytechnic Institute and State University; Tawni Paradise, Virginia Tech Department of Engineering Education; Jacob R. Grohs, Virginia Polytechnic Institute and State University; Holly M Matusovich, Virginia Polytechnic Institute and State University; Cheryl Carrico P.E., Cheryl Carrico Consulting, LLC; Holly Larson Lesko; Gary R. Kirk, Dickinson College

Tagged Divisions

Pre-College Engineering Education

in the ability to be successful based on suggestion from others Physiological The physical reaction to an experience influencing the perception of states ability to be successfulMany studies in engineering education have used self-efficacy as a framework. Those studieswith a focus on K-12 teachers include the development of a scale to measure self-efficacy theexamination of engineering teacher self-efficacy of K-12 teachers, and the effects of teacherinvolvement in different programs on their engineering-teaching self-efficacy [6], [11]–[13]. Literature ReviewSelf-efficacy in engineering education has been used to study engineering students and teachersat various education levels

Conference Session

Lisa's Legacy: Guiding Students Toward Engineering Careers, Excellent!

Collection

2024 ASEE Annual Conference & Exposition

Authors

Britta Solheim, Wartburg College; Jack Saylor Priske, Wartburg College; Murad Musa Mahmoud, Wartburg College; Cristian Gerardo Allen, Wartburg College; Kurt Henry Becker, Utah State University

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

students’ self-efficacy and interest in aSTEM field, we analyzed student responses to the following questions/statements (stronglydisagree/disagree/neither agree or disagree/agree/strongly agree): 1. I am able to get a good grade in my science class. 2. I am able to do well in activities that involve technology. 3. I am able to do well in activities that involve engineering. 4. I am able to get a good grade in my mathematics class.These four questions served as an indicator of self-efficacy among the student participants. Eachquestion measures the self-reported self-efficacy in each of the four major fields in the acronymSTEM (each question respectively). We then tabulated the responses to another set of statements: 1. I like

Conference Session

NSF Grantees Poster Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Marian S. Kennedy, Clemson University; Heather L Cox, Clemson University - Department of Materials Science and Engineering; Shelby K Lanier, Clemson University

Tagged Topics

NSF Grantees Poster Session

programsurvey was used to probe participant ‘s abilities/confidence in research. Their results indicateddirect relationships between research skills and research self-efficacy. These researchers alsofound that research skills and self-efficacy were good predictors of career aspirations.8 However,the measures used to assess research self-efficacy were not ideal. For example, items such as “Ihave the ability to have a successful career as a researcher,” and “I have a strong interest inpursuing a career as a researcher” are reflective of the student’s career goals, but may not reflecttheir beliefs in their current research capabilities. This concern about the quality of self-efficacyitems for assessing the gains in REU programs was highlighted earlier by

Conference Session

Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Kenie R. Moses

Tagged Divisions

Computers in Education

were asked tocomplete scales measuring self-efficacy and anxiety at three time points that coincided withmidterm examinations. Multilevel longitudinal modeling (MLM) was used to assess theeffects of the assistive MLEs on problem-solving self-efficacy and anxiety. MLM was alsoused to assess effects of problem-solving self-efficacy (NTSEI) scores and problem-solvinganxiety (PSA) scores on student examination scores. Results showed a significant negativeeffect of CircuitITS on NTSEI scores but a positive significant effect of NTSEI scores onexam scores for both tutors. This research study provides results that are counterintuitive tothe proposed outcome suggesting that CircuitITS produced a reduction in problem-solvingself-efficacy among its

Conference Session

Cooperative and Experiential Education Division (CEED) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Karina Ivette Vielma, University of Texas at San Antonio; Robin Lynn Nelson, University of Texas at San Antonio; JoAnn Browning P.E., The University of Texas at San Antonio

Tagged Topics

Diversity

Tagged Divisions

Cooperative and Experiential Education Division (CEED)

undergraduatesfrom marginalized groups in engineering and to undergraduates who may not have the resourcesduring the academic year to participate in research at their institutions. Students are selectedusing holistic measures by each of the sites. The curriculum for the summer program aims tofoster self-efficacy in research through (1) participation in authentic research work, (2) facultyand experienced graduate student researcher mentoring, and (3) community building across thenatural hazards engineering and research communities.Students meet weekly through virtual means to discuss their research progress, address anychallenges, and discuss the rhetoric of scholarly publications and other activities. REU studentsalso participate in career development

Conference Session

Women in Engineering Division (WIED) Technical Session 8: Leadership and Persistence

Collection

2024 ASEE Annual Conference & Exposition

Authors

Christine Michelle Delahanty, National Science Foundation

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering Division (WIED)

Paper ID #41572Gender-Based Comparison of Creative Self-Efficacy, Mindset, and Perceptionsof Undergraduate Engineering StudentsDr. Christine Michelle Delahanty, National Science Foundation Dr. Delahanty is a Program Director at NSF in the Division of Undergraduate Education (EDU/DUE), and has a background in physics, electrical engineering, and STEM Education, with a concentration in creativity and innovation. Her research focuses on creative self-efficacy, creative mindset, and perceptions of engineering majors, particularly women, to offer insight into why there are so few women in the major and in the profession. She

Conference Session

Applications and Computational Tools for Mechanics Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Andrew R. Sloboda, Bucknell University; Kimberly LeChasseur, Worcester Polytechnic Institute; Sarah Wodin-Schwartz P.E., Worcester Polytechnic Institute

Tagged Topics

Diversity

Tagged Divisions

Mechanics Division (MECHS)

explored the app, but did notregularly use it, which justified combining the two into a single comparison group.3.2 Data Collection and MeasuresData were collected using the retrospective Student Assessment of their Learning Gains - anNSF-funded and validated survey [14] that asks students how much they learned for each of a setof learning objectives and the extent to which they attribute their learning to specific learningactivities. The SALG has been used to date by more than 22,000 instructors to assessapproximately half a million students.3.2.1 Student OutcomesItems were averaged to construct measures of growth in content mastery, self-efficacy related tostatics, and willingness to seek help. Each of the items included the same question stem

Conference Session

Diversity in K-12 and Pre-college Engineering Education

Collection

2014 ASEE Annual Conference & Exposition

Authors

Amelito G. Enriquez, Canada College; Wenshen Pong, San Francisco State University; Nilgun Melek Ozer, San Francisco State University; Hamid Mahmoodi, San Francisco State University; Hao Jiang, San Francisco State University; Cheng Chen, San Francisco State University; Hamid Shahnasser, San Francisco State University; Nick Patrick Rentsch, San Francisco State University

Tagged Divisions

K-12 & Pre-College Engineering

and implementing the curriculum; engaging industry partners and engineeringprofessionals; and encouraging family involvement in program activities. Program outcomesassessments include pre- and post-program student surveys that measure student interest inpursuing an engineering degree, academic self-efficacy and motivation, attitudes and enthusiasmof participants towards the program activities, knowledge of specific engineering topics, andawareness of resources and skills needed for success in engineering. A follow-up survey has alsobeen developed to track changes in student attitudes, interests, and educational plans years afterparticipating in the program. The paper presents the results and lessons learned from five yearsof implementation of

Conference Session

Knowing Students: Diversity & Retention

Collection

2005 Annual Conference

Authors

George Bodner; Deborah Follman; Mica Hutchison

their first engineering course. Results are presented from a mid-semester surveyadministered to freshman engineering students (n = 1387) enrolled in ENGR 106, EngineeringProblem-Solving and Computer Tools, at Purdue University. The survey incorporatedqualitative measures of student self-efficacy beliefs. Open-ended survey questions promptedstudents to list those factors affecting their confidence in their ability to succeed in the course.Gender trends emerged in student responses to factors that affect confidence in success. Thesetrends are discussed in light of the four categories Bandura1 has identified as sources of self-efficacy beliefs: mastery experiences, vicarious experiences, social persuasions, andphysiological states. The results

Conference Session

NSF Grantees Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Tobin Walton, North Carolina Agricultural and Technical State University (CoE); Stephen Knisley, North Carolina Agricultural and Technical State University; Jared Webb, North Carolina Agricultural and Technical State University (CoE); Arvind Chandrasekaran, North Carolina Agricultural and Technical State University

smaller than that of the effect on self- efficacy. Methods Students in six undergraduate engineering courses that were reformulated to providestudents with consistent opportunities to engage in needs finding and engineering designactivities were administered a pre-test and post-test survey. The survey contained measures ofEngineering Values, Self-efficacy, and Identity. There were six engineering self-efficacy itemsarranged on a 7 point Likert scale. Students’ scores on these 6 items were summed to create acomposite Engineering Self-Efficacy Scale (ESES) with a possible range of 7 to 42 (α=.778;N=88)1. The items assess a general form of self-efficacy as well as

Conference Session

First-Year Programs Division: Best of FPD

Collection

2024 ASEE Annual Conference & Exposition

Authors

Angela R. Bielefeldt, University of Colorado Boulder

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs Division (FYP)

– extremely)Post survey items to measure engineering self-efficacy (response options strongly disagree – strongly agree): I will be able to achieve most of the engineering-related goals that I have set for myself When facing difficult tasks within engineering, I am certain that I will accomplish them I believe I can succeed at most any engineering-related endeavor to which I set my mind I am confident that I can perform effectively on many engineering-related tasksPost survey items to measure commitment to engineering (response options): I have no doubt that I will graduate with a degree in engineering (strongly disagree – strongly agree) It is my intention to pursue a career in engineering (strongly disagree – strongly agree

Conference Session

Faculty Development Research

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Kent A. Crick, Iowa State University; Elise A. Frickey, Iowa State University; Lisa M. Larson Ph.D., Iowa State University of Science and Technology; Mack Shelley, Iowa State University of Science and Technology

Tagged Topics

Diversity

Tagged Divisions

Faculty Development Division

Paper ID #29438The Role of Teaching Self-Efficacy in Electrical and ComputerEngineering Faculty Teaching SatisfactionMr. Kent A. Crick, Iowa State University Kent Crick is currently in his third year as a graduate student at Iowa State University. He is currently a PhD candidate in Counseling Psychology and conducts research in self-determination as it relates to student and faculty motivation and well-being. Prior to attending Iowa State, he obtained a Master’s Degree in Clinical Psychology from the University of Indianapolis. He then worked as a research coordi- nator for the Diabetes and Translational Research Center

Conference Session

Emerging Trends in Engineering Education Poster Session

Collection

2006 Annual Conference & Exposition

Authors

Melissa Sumpter, Purdue University; Deborah Follman, Purdue University; Mica Hutchison, Purdue University

2006-1812: WHAT AFFECTS STUDENT SELF-EFFICACY IN AN HONORSFIRST-YEAR ENGINEERING COURSE?Melissa Sumpter, Purdue University Melissa Sumpter is an undergraduate student in the Department of Management at Purdue University who is pursuing minors in both Chemistry and Marketing. She is a member of the national chemistry fraternity, Alpha Chi Sigma. Her research interests are focused mainly on engineering education. Her research is directed by Dr. George M. Bodner, Dr. Deborah K. Follman, and Mica A. Hutchison.Deborah Follman, Purdue University Deborah Follman is an Assistant Professor in the Department of Engineering Education at Purdue University. She received a B.S. in Chemical

Conference Session

Labs and Experiments

Collection

2017 ASEE Annual Conference & Exposition

Authors

Janie Brennan, Washington University in St. Louis; Shawn E Nordell, Washington University in St. Louis ; Erin D Solomon, Washington University in St. Louis

Tagged Divisions

Chemical Engineering

linked directly to student careerchoice.14-15 Mamaril et al. recently validated an instrument to measure students’ self-efficacy inrelation to engineering.16 The instrument is broken down into sub-scales to assess students’beliefs about their general capabilities and specific types of skillsets important to engineering(e.g., experimental skills, design skills). Each subscale is assessed with four or five Likert-stylestatements about which students rate their certainty.In this study, a unit operations laboratory course at a mid-sized private university was redesignedto incorporate project-based learning so as to encourage development of the skills and self-efficacy described above, as well as increase student learning and engagement. In addition

Conference Session

FPD and DEEDs Joint Postcard Sessions

Collection

2018 ASEE Annual Conference & Exposition

Authors

Jessica Daniels; Sophia T. Santillan, Duke University; Ann Saterbak, Duke University

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education, First-Year Programs

aspirations, level of motivation, andacademic accomplishments” [8]. In the context of engineering, this is essential as students navigatetechnically challenging coursework and rigorous workloads. Self-efficacy has a strong relationshipto both learning and achievements. As Mamaril et al. state, it is most effective to measure self-efficacy at both the general engineering field level and the specific technical skill level [9].Evaluating at these different levels yields a more comprehensive understanding of a student’sconfidence in their overall engineering abilities. A major contributor to a student’s self confidence in completing engineering tasks is theirperceived proficiency in technical skills. Usher et al. investigated students in

Conference Session

Cooperative and Experiential Education Division (CEED) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Kamryn G. Zachek, University of New Mexico; Anjali Mulchandani, University of New Mexico; Sydney Donohue Jobe, University of New Mexico

Tagged Topics

Diversity

Tagged Divisions

Cooperative and Experiential Education Division (CEED)

in academia at a R1 Hispanic servingUniversity in the American Southwest. The research was guided by the following question: Towhat extent does participation in undergraduate level research affect student’s self-efficacy andconfidence to succeed in undergraduate level academia/research? Students’ confidence and self-efficacy was measured using a Likert-scale survey. Responses were compared before and afterparticipating in the program to determine whether students’ confidence improved. We used SPSSfor statistical analysis of data which focused primarily on changes to mean response values.Following the conclusion of the Fellowship, interviews of the students were conducted via emailto gain further qualitative data on the impacts of the

Conference Session

Entrepreneurship & Engineering Innovation Division (ENT) Technical Session 5: Exploring and Re-Examining Ideas in Engineering Entrepreneurship and Innovation Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Azadeh Bolhari P.E., University of Colorado Boulder; Angela R Bielefeldt P.E., University of Colorado Boulder

Tagged Divisions

Entrepreneurship & Engineering Innovation Division (ENT)

-efficacy of undergraduate environmentalengineering students is explored in a target course before and after a curricular interventionwhich has been shown to have the potential to enhance innovation self-efficacy. A design mentorand an education mentor outside of the course supported the students through their engineeringdesign process. During the start and end of this curricular intervention, a survey consisting of theVery Brief Innovation Self-Efficacy scale (ISE.5), the Innovation Interests scale (INI), and theCareer Goals: Innovative Work scale (CGIW) was administered to measure students’ shift in: 1)Innovation Self-Efficacy, 2) Innovation Interests, and 3) Innovative Work. Formal feedback fromthe mentors was utilized in interpreting the survey

Conference Session

First-Year Programs: Focus on Student Success I

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Matthew Cavalli, Western Michigan University; Anetra Grice, Western Michigan University

Tagged Divisions

First-Year Programs

Western Michigan University’s College of Engineering and Applied Sciences for since 2010. American c Society for Engineering Education, 2021 Self-Efficacy, Mathematical Mindset, and Self-Direction in First-Year Engineering StudentsIntroductionIncoming first-year students in engineering, engineering technology, and computer science atWestern Michigan University (WMU) are placed into cohorts according to their preferred majorand initial math placement level. Cohort members share at least two courses (usually three orfour) during each of their first two semesters with the goal of encouraging study group formationand peer support. Peer tutoring and

Collection

2020 ASEE North Central Section conference

Authors

Matthew Cavalli, Western Michigan University; Anetra Grice, Western Michigan University

Tagged Topics

Diversity

random drawing for one of three $35 gift cards to the University bookstore.In addition to the any relationships between students’ time allocations and their retention andacademic performance, we also hoped to gain insights into initial values and changes in the self-efficacy beliefs of ENGR 2100 students over the course of the semester (as measured by theCollege Self-Efficacy Inventory) in relation their academic outcomes [10,11]. Solberg et al.found that self-efficacy can play a significant role in student success, particularly for Hispanicstudents (and possibly other minority groups). This data could contribute to an early warningmethod of identifying students in most need of targeted intervention. The questions from theCollege Self-Efficacy

Conference Session

Student Learning, Problem Solving, and Critical Thinking 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

K. Jo Min, Iowa State University; John Jackman, Iowa State University; Jason C.K. Chan

Tagged Divisions

Educational Research and Methods

Abstract Concepts towards Better Learning Outcomes and Self-Efficacy AbstractWe constructed and analyzed an evidence-based practice case to see if visual models helpstudents develop a better understanding of abstract concepts and enhance their self-efficacywhen solving engineering problems. Abstract concepts without corresponding physicalphenomena are often found in the domains of industrial engineering, engineeringmanagement, and systems engineering. In this study, we focus on inventory control of asupply chain, which is typically a junior level undergraduate production systems course in anindustrial engineering program. Visual models of inventory behaviors were designed tocomplement the

Conference Session

Broadening Perspectives in Construction Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jose Manuel Fuentes-Cid; Monica Quezada-Espinoza, Universidad Andres Bello, Chile

Tagged Divisions

Construction Engineering Division (CONST)

Signed-Rank Test to analyze the data. Dataanalysis was conducted using quantitative techniques for survey responses, which includedboth descriptive and comparative analyses. Informed consent was obtained from allparticipants before the administration of the surveys, and the confidentiality of the gatheredinformation was maintained. Privacy was respected, and an ethical protocol consistent withresearch standards was adhered to throughout the study.ResultsIn this study, we used SPSS® to analyze our quantitative data. We applied the WilcoxonSigned-Rank Test to compare scores before and after the Sense of Belonging and Self-efficacy Survey (SBSS). This test is helpful for small sample sizes and compares two relatedsamples or repeated measurements on

Conference Session

NSF Grantees Poster Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Elizabeth Gross, Kettering University; Diane L Peters, Kettering University; Shanna R. Daly, University of Michigan; Stacy Lynn Mann, Kettering University

Tagged Topics

NSF Grantees Poster Session

Camp Wilson, T. Telling more than we can know: Verbal reports on mental processes. Psychological Review 84(3)., 231-259, 1977.19. Eraut, M. Informal learning in the workplace. Studies in Continuing Education 26(2), 247- 273, 2004.20. Lave, J., & Wenger, E. Situated learning: Legitimate peripheral participation. Cambridge, England: Cambridge University Press, 1991.21. Knowles, M. The adult learner: A neglected species (3rd Ed). Houston, TX: Gulf Publishing, 1984.22. Bandura, A. Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review 84, 191-215, 1977.23. Carberry, A., Lee, H., & Ohland, M. Measuring engineering design self-efficacy. Journal of Engineering Education 99(1), 71-79, 2010.24

Conference Session

Pre-college Engineering Education Division Technical Session 11

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Sana M. Syed, Saint Louis University; J. Chris Carroll, Saint Louis University; Shannon M. Sipes, Indiana University; Traci Aucoin; Adrienne Enriquez, Oregon GEAR UP; Kelsey Z. Musa, Saint Louis University; Rachel Bultas

Tagged Divisions

Pre-College Engineering Education

effective professional development opportunities for K-12 math teachers. Theprofessional development opportunity included an introduction to engineering, the presentationof 14 experiential learning modules, and a create-your-own module session for 22 middle andhigh school math teachers over the course of three days. The participating teachers were askedto complete the Teaching Engineering Self-Efficacy Scale (TESS) survey [2] before and after theprofessional development opportunity along with a follow-up satisfaction survey. The paper alsodiscusses the immediate effect of professional development on teachers’ engineering self-efficacy along with their overall impression of the professional development opportunity.Background and Supporting

Conference Session

NSF Grantees Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Brad Cicciarelli, Louisiana Tech University; Timothy Reeves, Louisiana Tech University; Catherine Belk, Clemson University; Marisa Orr, Clemson University; Eric Sherer, Louisiana Tech University

Paper ID #38220NSF RIEF: Influence of Self-Efficacy and Social Support onPersistence and Achievement in Chemical EngineeringSophomores: Measuring the Impact of an InterventionBrad Cicciarelli (Distinguished Lecturer) Brad Cicciarelli is a Distinguished Lecturer in the chemical engineering and mechanical engineering departments at Louisiana Tech University. He earned a B.S. from the University of Florida and a Ph.D. from M.I.T., both in chemical engineering. He teaches a variety of courses, including material and energy balances, thermodynamics, heat transfer, and numerical methods.Timothy Reeves (Lecturer of

Conference Session

Issues in the First Year - Focus on Self-Efficacy

Collection

2017 FYEE Conference

Authors

Lilianny Virguez, Virginia Polytechnic Institute and State University; Kenneth Reid, Virginia Tech

Tagged Topics

FYEE Division - Paper Submission

will be also students’ non-cognitive characteristics, such asanalyzed between students’ perceptions of the motivation to persist in engineering [3]. As a result,introductory engineering courses. Independent T-tests engineering colleges have included specific initiatives to notwill be conducted comparing students’ perceptions in only support students’ academic achievement, but also tothe two different course types. Motivation constructs address students’ motivation to learn, and to persist inincluded in surveys presented at the end of the semester achieving an engineering degree. As an illustration,in the two versions of the course are the measures of engineering colleges

Conference Session

First-Year Programs: Metacognition, Self-Efficacy, and Motivation #1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Abigail M. Richards, Montana State University; Ryan Anderson, Montana State University; Carrie B. Myers, Montana State University

Tagged Divisions

First-Year Programs

, personal interest in studyingengineering (figure 5) and student’s reported academic self-efficacy (figure 6) related tounderstanding of engineering problems, ability to perform well on exams and overcomesetbacks. 5 5 4.5 4.5 4 4 3.5 3.5 3 3 2.5

Conference Session

Fundamental: K-12 Students' Beliefs, Motivation, and Self-efficacy

Collection

2015 ASEE Annual Conference & Exposition

Authors

Kerrie A Douglas, Purdue University, West Lafayette; So Yoon Yoon, Texas A&M University; Mariana Tafur-Arciniegas P.E., Purdue University, West Lafayette; Heidi A. Diefes-Dux, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

K-12 & Pre-College Engineering

, respectively from Purdue University. Her work centers on P-16 engineering education research, as a psychometrician, program evaluator, and institutional data analyst. As a psy- chometrician, she revised the PSVT:R for secondary and undergraduate students, developed the TESS (Teaching Engineering Self-efficacy Scale) for K-12 teachers, and rescaled the SASI (Student Attitudi- nal Success Inventory) for engineering students. As a program evaluator, she has evaluated the effects of teacher professional development (TPD) programs on K-6 teachers’ and elementary students’ attitudes to- ward engineering and STEM knowledge. As an institutional data analyst, she is investigating engineering students’ pathways to their success

Conference Session

WIP: Student Success & Development - Focus on Self-Efficacy

Collection

2017 FYEE Conference

Authors

Whitney Gaskins, University of Cincinnati

Tagged Topics

Diversity, FYEE Conference - Works in Progress Submission

, Columbus, OH W1A-1 Session W1Acognitive depletion [11]. Stereotype threat undermines Survey CRSS) did not consist of questions adopted directlyacademic achievement in two ways. First, it induces anxiety to SVS but a confirmatory factor analysis was completed tothat may impair academic performance. Second, in the relate questions to the SVS (the process is described below).long- term, it causes students to devalue their academic The SVS is a unidimensional scale designed to measure theinterests and eventually leads to dis-identification with

Conference Session

First-Year Programs: Metacognition, Self-Efficacy, and Motivation #1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Jill Davishahl, Western Washington University; Sura Alqudah, Western Washington University

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs

in which to integrate newcontent in an effective manner. The total class time required for all three interventions ranges from 1-2 hourswhich equates, on the higher end, to one class session per quarter. The researchers and instructors of the courseagreed that the number of interventions and required time is reasonable without interfering with the core classmaterial. These interventions are hypothesized to improve engineering students’ sense of belonging and self-efficacy in their majors [14, 15].After considering course assignments and scheduling, the researchers chose a selection of ENGR 104 coursesin which to embed the interventions: Fall 17, Spring 18, and Fall 19. Each course was taught by a differentinstructor however, the content of

Conference Session

First-Year Programs: Metacognition, Self-Efficacy, and Motivation #1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Nisha Abraham, University of Texas at Austin; Nina Kamath Telang, University of Texas at Austin

Tagged Divisions

First-Year Programs

enrolled students attended regularly; EE 307E showed even higher ratesof attendance, with 75% of enrolled students being in the SI group. These results mirror the datawe have seen in past semesters for these courses and match what other programs have presented.One criticism of accurately determining the impact of a voluntary support program like SI is thedifficulty in extricating any self-selection bias. For example, highly prepared freshmen either usethese services at higher rates or do not make use of any supports, yet still perform well in thecourse. Using one type of college prediction measure (SAT scores), all enrolled students in thetwo courses were divided into five groups, each with a 50-60 point range of SAT scores and thenfurther