Conference Session

Women in Engineering Division Technical Session 1

Collection

2017 ASEE Annual Conference & Exposition

Authors

Jennifer S Gurski, Drexel University; Penny Louise Hammrich, Drexel Univeristy

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

persistence in engineering as part of the CAEE’s (2007) Academic PathwaysStudy (APS), which identified 21 variables for persistence in engineering. The instrument’soverall goal was to collect data utilizing relevant questions from each survey instrument onindividuals’ experiences and perceptions during their K-14 and academic careers and to create acomprehensive picture of the culture-sharing group – in this case, the young women that hadpersisted in the research site’s College of Engineering.The MSLQ questions were used to identify within the results a measure of motivationalorientation for college engineering students (Pintrich et al., 1991) and examine women’s feelingsof self-efficacy to determine if patterns existed among the women in the

Conference Session

Aerospace Teaching and Learning II

Collection

2011 ASEE Annual Conference & Exposition

Authors

Praveen Shankar, Arizona State University; Jenefer Husman, Arizona State University; Valana L. Wells, Arizona State University; Wen-Ting Chung, Arizona State University

Tagged Divisions

Aerospace

. Example items from this subscale are, “I am confident I can do an excellent job on theassignments and tests in XXX course”. “I’m confident I can understand the basic concepts taughtin XXX class,” and “I expect to do well in XXX class.” The students responded on a Likert-typescale ranging from 1 (not at all true of me) to 7 (very true of me).Engineering Self-Efficacy survey (ENGSE)Developed by Senay Yasar [15] and adapted for use in this study, this scale follows therecommendations of Bandura [16] for constructing task-specific measures of self-efficacy. Itemsexamined students’ confidence for being able to perform the specific course objectives, andproblem solving tasks within the aerodynamics course. There are a total of eleven items.Example

Conference Session

Materials Division (MATS) Technical Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Nina Perry, University of Michigan; Timothy Chambers, University of Michigan

Tagged Divisions

Materials Division (MATS)

populations.As the institution being studied, the junior-level MSE lab courses have robust computational modelingand simulation curricular content. Our findings therefore suggest a strong positive impact that frequentuse of simulation tools in MSE courses can have on students’ attitudes toward these tools in the contextof engineering work. However, because we did not directly measure students’ actual competency, butonly their self-efficacy, it is not clear whether their lack of confidence with these tools accurately reflectsa low level of proficiency or whether it reflects a greater level of appreciation of the complexity of thesetools, which novices would not appreciate. It would be valuable for a future study to examine therelationship between actual

Conference Session

Student Teams and Active Learning

Collection

2002 Annual Conference

Authors

Robert Lent; Janet Schmidt; Gary Pertmer; Linda Schmidt

that collective efficacy (a) wasstrongly related to team cohesion and satisfaction; (b) partially mediated the relationshipbetween team cohesion and satisfaction, and (c) was moderated related to other socialcognitive measures (e.g., self-efficacy, interest) regarding pursuit of an engineering major.In addition, more advanced students reported significantly stronger collective efficacyregarding their teams than did introductory-level students. Our presentation will considerthe implications of these findings for further research and theory on team functioningwithin educational and work settings. Page 7.548.2Proceedings of the 2002 American Society

Conference Session

Pre-College Engineering Education Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Srujal Patel, Georgia Institute of Technology; Maria-Isabel Carnasciali, University of New Haven; Melissa L. Whitson, University of New Haven; Daniel Patrick Schrage, Georgia Institute of Technology

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

-efficacy scale, Riggs and Enochs’ [13]science teaching efficacy beliefs, Bandura’s [14] teacher self-efficacy scale and the Tschannen-Moran and Hoy’s [15] Ohio State teacher efficacy scale.Students' responses to the measures of math/science self-efficacy, math/science outcomeexpectations, and critical thinking were examined over time to see if there were significantchanges from the pre-test completed prior to the camps to the post-test that was completed at theend of the two-week camps. Of the 98 students who completed the pre-test surveys, 67 hadmatching post-test data for analyzing changes on the outcome variables over time. Resultsrevealed that students exhibited statistically significant increases in two of the three variables.Over the two

Conference Session

Entrepreneurship & Engineering Innovation Division Technical Session 5

Collection

2018 ASEE Annual Conference & Exposition

Authors

Antti Oskari Surma-Aho, Aalto University; Tua A. Björklund, Aalto University; Katja Holtta-Otto, Aalto University

Tagged Topics

Diversity

Tagged Divisions

Entrepreneurship & Engineering Innovation

-sectionally [1], but also showed an increase in innovativeness when it wasmeasured before and after a project course [2] as well as when measured longitudinally for thesame group of students [3]. These mixed results indicate that a deeper understanding is neededabout the factors influencing the development of innovativeness in engineering students.Recently, two constructs have received special attention with regards to engineer innovativeness:empathy and self-efficacy, i.e. feeling and understanding the experiences of others and believingin one’s own ability to perform tasks. Research suggests that empathy in engineering and designcomprises of intrinsic skills, observable actions, and a holistic mindset [4], and can helpdesigners understand and care

Conference Session

Pre-College Engineering Education Division Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Joni M. Lakin, Auburn University; Mary Lou Ewald, Auburn University; Nancy Nowlin Blanco, Project Lead the Way; Jessica A. Gilpin, Auburn University

Tagged Divisions

Pre-College Engineering Education

More training for students in collaboration skills Added more activities that relate to science or engineering Introduced an engineering design project I hadn't used before More effective in my science teaching More confident in my science teaching Started a robotics or STEM club No changes to my teachingAnalysesWe used a repeated measures ANOVA to look at the change in scores on each of the three self-efficacy measures. Focus group interviews from all eight sites were transcribed and coded forcommon themes related to teachers’ comfort with STEM, their perceptions of student gains, andtheir own learning experiences. A follow up survey was distributed in December, 2018, askingteachers to complete the efficacy

Collection

2018 ASEE Midwest Section Conference

Authors

Muhammad Khan; Mohamed Ibrahim

instruction. The presenters have experience of implementing theseweb-based tools in instructional technology and engineering courses at Arkansas TechUniversity and will cover case studies highlighting implementation of flipped instruction incollege level courses. An important element of implementing flipped instruction in classrooms is to assess itsimpact on student learning outcomes and their self-efficacy. The self-efficacy construct is usedas a measure of students' self-judgment that reflects what students believe they can do with theskills they possess. The presenters will introduce the audience to approaches that can help themdevelop instruments to measure self-efficacy of students in their flipped courses and compare theresults with lecture

Conference Session

Pedagogies of Making and Design

Collection

2016 ASEE Annual Conference & Exposition

Authors

Christopher Lombardo, Harvard University; Daniela Faas, Harvard University; Avinash Uttamchandani, Harvard University

Tagged Divisions

Liberal Education/Engineering & Society

electrical and mechanical engineering majors. Each ofthese courses has a final team project, with varying degrees of open-endedness, in lieu of atraditional exam. Design competencies were measured in these courses, both pre- and post-experience, using self-reported surveys as well as instructor assessment of ABET learningoutcomes. The post-experience surveys as well as final project rubrics were used to measurechanges in design competencies as well as changes in self-efficacy. There was a correlationbetween the changes of self-efficacy and ABET outcomes at the end of the courses for bothmajor-specific and general education courses. Students in the general education course scoredlower in final self-efficacy compared to their peers in the major

Conference Session

NSF Grantees Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Betul Bilgin, The University of Illinois, Chicago; Hasiya Najmin Isa; Emily Seriruk; Cody Wade Mischel

Tagged Topics

NSF Grantees Poster Session

employed instruments for self-efficacyand engineering identity, and conducted interviews with focus groups. To measure the impact,qualitative and quantitative methods are used. This content analysis helped the project teamidentify challenges, difficulties, and gains of adopting this approach to the engineering programand provide an appraisal of student outcomes, including cognitive and affective responses. In thisposter, the project team will share their results from Fall 2021 semester.Major ActivitiesTo understand the impacts of the intervention on self-efficacy and engineering identity,contemporary industry-relevant problems were designed, introduced to the targeted course,instruments for self-efficacy and engineering identity were developed and

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Kent J. Crippen, University of Florida; Lorelie Imperial, University of Florida; Corey Payne, University of Florida; Chang-Yu Wu, University of Florida; Maria Korolev, University of Florida; Philip J. Brucat, University of Florida

Tagged Topics

NSF Grantees Poster Session

opportunity for students to practice doing science and form links betweenmacroscopic phenomena and molecular-level interpretations. Moreover, laboratory activities canmotivate students to learn more about chemical concepts [4]. For engineering majors, situatingthese activities in authentic practice strengthens the connection between the domain knowledgeof chemistry and its application in everyday work. Such activities target student retention byfocusing their work on authentic collaboration and learning chemistry in context, whichleverages student interest in order to build personal identity with being an engineer as well as thenecessary self-efficacy for persisting with challenging coursework [5]-[6].In this paper, we present results from usability

Conference Session

Industrial Engineering Division Technical Session 2

Collection

2022 ASEE Annual Conference & Exposition

Authors

Sanaz Motamedi, University of Florida; Mckenzie Landrum, University of Florida; Tara Ippolito, University of Florida; Austin Hayes

. 1Figure 3: Methodology Flowchart 1Data Collection Tools This research implements five types of data collection tools. A background survey wasused to collect identifying characteristics of the research participants, a self-efficacy survey toexamine student confidence for each chapter and how it changes across teaching methods, acomputational assessment that analyzes student understanding and performance in the course, anexit survey to gauge students’ experience with changing modalities, and active measures to gaugestudent participation. 1. Background Survey: The background survey asked the participants for their name and other

Conference Session

NSF Grantees’ Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Jianyu Dong, California State University, Los Angeles; Pearl Chen, California State University, Los Angeles

Tagged Topics

NSF Grantees Poster Session

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

engineeringstudents [5]. However, up to date research on this aspect is still not adequate to generate acomprehensive understanding of PBL in engineering context. In 2013, California StateUniversity Los Angeles received a RIGEE grant from NSF to conduct an interdisciplinaryresearch to study the impact of collaborative project-based learning (CPBL) on the self-efficacyof traditionally underrepresented minority groups in electrical engineering courses. The projectgoals include: 1) Improve the understanding of the factors that affect the self-efficacy of minoritystudent groups in Engineering; 2) Develop better ways to measure the impact of collaborativelearning in the developmental stages of the student learning process in addition to the learningoutcomes; 3

Conference Session

Mathematics Division (MATH) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Zenaida Aguirre Munoz Ph.D., University of California, Merced; Melissa Almeida, University of California, Merced; Comlan de Souza, California State University, Fresno; Keith Collins Thompson, University of California Merced; Khang Tran, California State University, Fresno; Yue Lei, University of California, Merced; Erica M Rutter, University of California, Merced; Lalita G Oka, California State University, Fresno; Maribel Viveros, University of California Merced; Bianca Estella Salazar, University of California, Merced; Changho Kim, University of California, Merced

Tagged Topics

Diversity

Tagged Divisions

Mathematics Division (MATH)

area involvesuniversities with small proportions of URMs. Thus, continued study of the impact of thesefactors on more diverse student populations is also necessary to better capture the calculusexperience of URM engineering majors. The purpose of the study was to examine student andclassroom-level factors that influence course performance measured by course grade. This studyfocused on two engineering-related psychosocial factors: (1) engineering self-efficacy and (2)engineering sense of belonging, and three mathematics-specific psychological factors which werefer to as math motivators, (1) math interest, (2) self-concept, and (3) anxiety. Classroom levelfactors included active engagement practices, proportion of females, proportion of

Conference Session

Concurrent Paper Tracks Session II Courses

Collection

2016 ASEE International Forum

Authors

Jennifer Craig, Massachusetts Institute of Technology

Tagged Topics

International Forum

teach and refine oral communicationskills of English language learners (ELL) at Skoltech, a Russian university. The objectivewas to develop disciplinary communication skills in English so that students could presenttheir engineering designs during a rapid prototyping project. A pre/post survey assessedchanges in self-efficacy as a measure of success in the instruction about, practice andperformance of oral presentations. The post-test survey showed a statistically significantincrease in self-efficacy for a majority of the students. Survey data combined with facultyobservation indicates that the communication pedagogy combined with practice waseffective in increasing self-efficacy and in facilitating and refining oral communication skillsfor the

Conference Session

Information and Network Security

Collection

2015 ASEE Annual Conference & Exposition

Authors

Richard Scott Bell, Northwest Missouri State University; Eugene Vasserman, Kansas State University; Eleanor C Sayre, Kansas State University

Tagged Divisions

Computing & Information Technology

changes in studentinterest and self-efficacy as they relate to cybersecurity.Measuring change in student interest gives us an indication of how well a given course ismotivating students to pursue further knowledge or work in this sub-field. 22 Building long-termstudent interest is vital within a new, fast-changing, field such as cybersecurity. Self-efficacy isdefined as “...a person’s belief in his or her capability to perform a task,” 8 Measuring studentself-efficacy is important because it has been linked with outcomes such as persistence on task,academic success and long-term career success. 4,19 Studies have shown that students with higherself-efficacy in fields such as mathematics are more willing to discard faulty strategies and reworkmore

Conference Session

WIED Olio

Collection

2011 ASEE Annual Conference & Exposition

Authors

Natalie C.T. Van Tyne P.E., Colorado School of Mines; Chester J. Van Tyne, Colorado School of Mines; Kathryne Van Tyne, University of Chicago

Tagged Divisions

Women in Engineering

mayinfluence how students evaluate themselves and others. The present paper explores the role ofgender in self-evaluation and peer evaluation, with regard to both teamwork and final overallperformance, as measured by final course grade in a first-year engineering design course.Individual Factors for Successful EvaluationsSince part of our study relies upon a self-evaluation of the students' performance on a team, it isimportant to understand how students approach such evaluations. Self-evaluation of one’steamwork skills and contributions to the success of a design team is influenced, in part, by an Page 22.739.2attribute known as self-efficacy. Self

Collection

2020 ASEE North Midwest Section Annual Conference

Authors

Gül E. Kremer, Iowa State University of Science and Technology

. Testing. 8- Return on Investment (ROI). 9- Expected Outcomes. Student participants (subjects) completed classification (demographics) and self-efficacysurveys and a modified unusual uses task. The modified unusual uses task and self-efficacy surveywere administered several times during the semester – at the end of the first class (Assessment 1),after project 1 (Assessment 2), after project 2 (Assessment 3), and at the start of the final designcompetition (Assessment 4). Self-efficacy was measured as students’ responses to a 0-100 scalewhere they recorded their confidence level in being able to complete a specific task. 3. Subjects and Context Because data collection required the use of graduate students of different majors who

Conference Session

Construction Division Poster Session

Collection

2016 ASEE Annual Conference & Exposition

Authors

Kristen Caroline Hurtado, Arizona State University; Jake Smithwick, Arizona State University; Kenneth Timothy Sullivan, Arizona State University; John Savicky, Arizona State University

Tagged Divisions

Construction

university in the CM department and was run as a cross-listed (undergraduate andgraduate) elective course for the spring and fall 2015 semesters. The course met three hoursonce per week in the spring and 90 minutes twice per week in the fall.The two semesters of the course were assessed and compared against typical education metrics:enrollment, final course project grade, and course rating. A less known metric, self-efficacy wasalso discovered and utilized in the second semester to further measure the effectiveness of thiscourse. The metrics are used to measure the course design, current effectiveness of the course,and highlight areas for future improvements.A “backwards design” approach was taken for the instructional design of this course

Conference Session

STEM Pipeline: Pre-College to Post-Baccalaureate

Collection

2008 Annual Conference & Exposition

Authors

Julie Trenor, University of Houston; Olga Pierrakos, James Madison University

Tagged Divisions

Educational Research and Methods

’ Academic and Career PlansAbstractUndergraduate research experiences in engineering have recently received significant interest asmechanisms for attracting undergraduates to graduate-level work. In particular, the NationalScience Foundation’s Research Experiences for Undergraduates (REU) initiative aims to recruitstudents to careers in research. Our work employs a social cognitive theoretical framework toinvestigate how participation in a summer undergraduate research program influencesparticipants’ academic and career plans (specifically plans to pursue a Ph.D.) and their self-efficacy for future scientific research. A mixed-methods approach, incorporating surveyinstruments, interviews, and weekly self-reflective journal entries, was utilized to

Conference Session

NSF Grantees Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Rachel Vitali, University of Michigan; Noel C. Perkins, University of Michigan; Cynthia J. Finelli, University of Michigan

Tagged Topics

NSF Grantees Poster Session

intervention group(Control, Level 1, Level 2) for each of the subfactors being measured by the modified LAESEincluding: 1) engineering self-efficacy (ESE), 2) feelings of inclusion (INC), 3) intention topersist in the field (PER), and 4) course-specific self-efficacy (CSE).From Fig. 2, engineering self-efficacy (ESE) generally has negative gains regardless ofintervention. However, the Level 2 intervention group (Prescribed Experiments) has negativegains that are statistically different from 0 whereas the other two groups do not. All three groupsalso experience significant negative gains in their course-specific self-efficacy (CSE).Persistence (PER) generally has positive gains, though the Level 1 intervention group(Demonstrations) is the only group

Conference Session

First-Year Programs: Paying More Attention to Retention

Collection

2017 ASEE Annual Conference & Exposition

Authors

Mark Schar, Stanford University; Sophia Lerner Pink, Stanford University; Kayla Powers, Stanford University; Adrian Piedra, Stanford University; Shivani Alexandra Torres, Stanford University; Kai Jun Chew, Stanford University; Sheri Sheppard, Stanford University

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs

will have adirect and positive effect on grade performance.2.0 Study OverviewThis study is intended as a pilot study of the measures of social belonging in an engineeringclassroom. Data were collected from an introductory level solid mechanics class at a privateuniversity in the United States. Most student respondents were beginning their engineeringacademic careers, mostly as sophomore students taking their first-ever engineering specificcourse. The instrument used to measure engineering self-efficacy was developed by our researchteam. The instruments used to measure social belonging, engineering identity and interpersonalcloseness have strong research pedigrees but have never been used in this novel combination.2.1 Measuring Social Belonging

Conference Session

Systems Engineering Division Technical Session 3

Collection

2014 ASEE Annual Conference & Exposition

Authors

Yue Bi, University of Virginia; Reid Bailey, University of Virginia; Michael C. Smith, University of Virginia

Tagged Divisions

Systems Engineering

feedback they received on their cases, and their generalexperiences with the course SYS 2001. Three major categories of surveys were used to assessstudents’ perceptions (timeline of the use of the technologies included in Figure 1): Page 24.547.7 Self-efficacy surveys were modified based on an instrument measuring engineeringdesign self-efficacy by Carberry and Lee24. The surveys were believed to identify students’self-concepts to engineering design tasks24. Students were asked to rate on a scale of 0-100their confidence, motivation, success, and anxiety in completing each of the 10 tasks whichrepresent a systems approach. Grading surveys

Conference Session

Engineering Design Graphics Division Technical Session 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Hannah Dawes Budinoff, Pima Community College

Tagged Topics

Diversity

Tagged Divisions

Engineering Design Graphics

givenapproximately three assignments throughout the semester that required them to sketchorthographic projections and isometric views of objects. These assignments were designed tohelp improve spatial visualization ability. However, the class was generally focused on 3Dmodeling skills and SolidWorks operation, and not on spatial visualization ability.A survey was also administered to assess self-efficacy and to ask the students about how helpfulthey found the different learning activities in the course. We measured self-efficacy regarding 3Dgraphics topics using the three-dimensional modeling self-efficacy scale described by Densenand Kelly [21]. We will refer to this scale as the 3DM-SES in this paper. Agreement on eachitem of the nine items of this survey

Conference Session

Innovative Pedagogy in Civil Engineering Education

Collection

2013 ASEE Annual Conference & Exposition

Authors

Chuang Wang, University of North Carolina at Charlotte; Kimberly A Warren, University of North Carolina at Charlotte

Tagged Divisions

Civil Engineering

a freshman, 56 were junior, and 21 were senior.The distribution of age was approximately normal with a mean of 22 years and a standarddeviation of 4 years.Assessment Instruments Quantitative instruments include 1) pre and post student surveys, 2) short answer quizzes,3) content module tests, and 4) the final exam. Three surveys were administered in class (preand post) to measure the student’s self-efficacy related to the content of the course and their useof self-regulated learning strategies (described in more detail below). A short-answer, pre-quizwas administered during the first class to measure the student’s content knowledge and skills

Conference Session

Assessment and Evaluation of Graphics Programs

Collection

2008 Annual Conference & Exposition

Authors

Richard Onyancha, Rose Hulman Institute Of Technology; Matthew Derov, University of New Hampshire; Brad Kinsey, University of New Hampshire

Tagged Divisions

Engineering Design Graphics

, such as single inclined objects (p=0.036), doubleaxis rotations (p=0.016) and short 90 rotations (p=0.013) showed statistically significantdifferences with the Experimental group scoring higher than the Control group. Page 13.1200.2Methodology Two web-based tools with automated data collection were used to obtain a measure of auvwfgpvÓu"urcvkcn"cdknkv{"cpf"ugnh-efficacy9. The two tests used were a subset of the PurdueSpatial Visualization Test (PSVT)13 and a Self-Efficacy Test (SET) developed for this research.These two tests were administered to mechanical engineering freshmen at the beginning and atthe end of the fall semesters in

Conference Session

Experiential Learning in ET Programs II

Collection

2024 ASEE Annual Conference & Exposition

Authors

Paul Davidson, University of Illinois at Urbana - Champaign; Travis Johnson, University of Illinois at Urbana - Champaign; Molly H. Goldstein, University of Illinois at Urbana - Champaign; Brandon Hollenback, University of Illinois at Urbana - Champaign

Tagged Topics

Diversity

Tagged Divisions

Engineering Technology Division (ETD)

overall planning, organizing,and time management. With that desire, we have reason to research if these project managementskills and concepts are being taught effectively enough to prepare students for senior-levelcapstone courses and future careers. Degree programs that do not heavily focus on managementprinciples may impact students' abilities to obtain manager-style roles. Outside the classroom,there are opportunities to obtain this experience, such as through internships and studyingabroad. Data collected stem from a self-efficacy questionnaire administered to 811 students andvoluntarily completed by 361. The survey was issued at the beginning of the semester for ninefall courses through 15 different majors and intended to take approximately

Conference Session

Engineering Career Attitudes

Collection

2018 ASEE Annual Conference & Exposition

Authors

Sarah A. Roller, University of Alabama, Huntsville; Sandra A. Lampley, University of Alabama, Huntsville; Monica Letrece Dillihunt, University of Alabama, Huntsville; Michael P.J. Benfield, University of Alabama, Huntsville; Matthew William Turner, University of Alabama, Huntsville

Tagged Divisions

Pre-College Engineering Education

actions, or efforts to implement one’s goals such asseeking additional training (Lent, 2013). For example, after gaining entry into medical school, astudent may have difficulty completing the required coursework. He may also conclude that thework conditions and rewards available as a medical doctor suit him less well than he initiallyanticipated. These learning experiences may incite the student to revise his self-efficacy beliefsand outcome expectations, leading to a shift in interest and goals (selection of a new career path).Other instruments based on SCCTWhile there are instruments that measure student outcomes (content knowledge, reasoning skills,psychosocial attributes) after participating in various disciplines of STEM fields (Minner

Conference Session

2-Year College Division: Workforce Pathways and ATE

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Megan Morin, University of North Carolina - Chapel Hill; Alireza Dayerizadeh, North Carolina State University

Tagged Divisions

Two-Year College

Engineering Department’s Merit Fellowship (2016) and the NSF Graduate Research Fellowship (2018). His current research interests include electric vehicle fast chargers and wireless power transfer. c American Society for Engineering Education, 2020 Filling the Technical Gap: The integration of technical modules in a REU Program for 2+2 Engineering StudentsAbstractDue to the abstract nature of the field, electrical engineering students can benefit significantlyfrom active learning to increase understanding and self-efficacy in the field. In some cases,students may lack of confidence in their abilities, which can lead them to avoiding

Conference Session

Graduate Studies Division (GSD) Technical Session 6: Programs in Graduate Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jamie R. Gurganus, University of Maryland, Baltimore County; Michael M. Malschützky, Hochschule Bonn-Rhein-Sieg, Germany; Neha B. Raikar, University of Maryland, Baltimore County; Yarazeth Medina, University of Maryland, Baltimore County

Tagged Topics

Diversity

Tagged Divisions

Graduate Studies Division (GSD)

item-difficulty. SD P(i) = standard deviation of item-difficulty. Md P(i) = median of item-difficulty.In result, only one item (V13), with item-difficulty P(13) = .79, is in the desired value-range todifferentiate between participants. The other items are agreed to unilaterally throughout, meaningthat all participants show very high ratings in teaching self-efficacy.4.2.2. Corrected item-total correlationsThe part-whole-corrected item-total correlation r(i,total-i) of an item i indicates how much theitem i measures the same psychological construct as the other items combined (total-i). Valuesbetween 0.4 and 0.7 are preferred [15]. Table 4 gives an overview of item-total correlations ofthe 18 items taking the sub-scales and the aggregate scale