ASEE PEER - Search Results

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Assessing Drawing Self-efficacy: A Validation Study Using Exploratory Factor Analysis (EFA) for the Drawing Self-efficacy Instrument (DSEI)

Conference Session: Assessing Hard-to-Measure Constructs in Engineering Education: Assessment Design and Validation Studies
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Donna Jaison, Texas A&M University; Hillary E. Merzdorf, Purdue University, West Lafayette; Blake Williford, Sketch Recognition Lab; Lance Leon Allen White, Texas A&M University; Karan Watson P.E., Texas A&M University; Kerrie A. Douglas, Purdue University, West Lafayette; Tracy Anne Hammond, Texas A&M University
Tagged Divisions: Educational Research and Methods

self-efficacy of users along with drawingability. Having a method to measure learner self-efficacy is intrinsic to understanding the process ofdrawing skill development.The absence of an instrument to assess drawing self-efficacy prevents usfrom evaluating the impact of the intelligent tutoring system on user’s drawing self-efficacy. Hence,there is a need for an instrument that assesses drawing self-efficacy to make sure that studentsare mastering sketching and thereby gaining skills that contribute to their success in engineering.In addition, it is critical to gauge the drawing self-efficacy of individuals to compare traditionalpedagogy with new teaching methods such as intelligent tutoring systems. Hence, the focus ofthis work was to define

Relevance Score: 4.707849

Work in Progress: The Effects of Hands-on Learning on STEM Students' Motivation and Self-efficacy: A Meta-Analysis

Conference Session: Efforts to Understand and Support Students' Socioemotional Factors
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Olufunso Oje, Washington State University; Olusola Adesope, Washington State University; Adurangba Victor Oje, University of Georgia
Tagged Divisions: Educational Research and Methods

research. He is affiliated with the Engineering Education Transformation Institute and the school of Electrical and Computer Engineering. His research interest focuses on instructional design in remote and virtual environments and students’ interaction with learning environments. He is also interested in learning process measures; educational measurement and validation; learning strategies and engagement, and systematic review/meta-analysis research methodology. American c Society for Engineering Education, 2021 Work in Progress: The Effects of Hands-on Learning on STEM Students Motivation and Self-Efficacy: A Meta-Analysis

Relevance Score: 2.9029903

The Student Attitudinal Success Inventory III (SASI III): Construct Validity and Measurement Invariance

Conference Session: Assessing Hard-to-Measure Constructs in Engineering Education: Assessment Design and Validation Studies
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Jiaqi Zhang, University of Cincinnati; P.K. Imbrie, University of Cincinnati
Tagged Divisions: Educational Research and Methods

; Williams, Smiley, Davis, & Lamb, 2018). Non-cognitivefactors are defined as unobservable traits and latent skills related to students academicachievement (Yoon et al., 2014).The Student Attitudinal Success Instrument (SASI; Immekus, Imbrie, & Maller, 2004; Immekus,Maller, Imbrie, Wu, & McDermott, 2005; Reid, 2009; Reid & Imbrie, 2008; Yoon et al., 2014)was developed to quantify non-cognitive characteristics of first-year engineering students beforeentering colleges or universities. The original SASI consisted of 161 items assessing ninespecific non-cognitive constructs: 1). intrinsic motivation, 2). academic self-efficacy, 3).expectancy-value, 4). deep learning approach, 5). surface learning approach, 6). Problem-solvingapproach, 7

Relevance Score: 0.86598235

A Systematic Review of Argument-assessment Frameworks in Engineering Education

Conference Session: Assessing Hard-to-Measure Constructs in Engineering Education: Assessment Design and Validation Studies
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Madison E. Andrews, University of Texas at Austin; Priyadarshan N. Patil, University of Texas at Austin
Tagged Topics: Diversity
Tagged Divisions: Educational Research and Methods

Articles which did not focus on McConnell and Dickerson (2017) Engineering undergraduate engineering students consider student arguments about or undergraduate engineering subject the function of external structures matter. on animals for survival. The subjects are fourth-grade students. Examine Process Articles which examined the process Purzer (2011) studied student rather than of argumentation, rather than the arguments, self-efficacy and Product products of argumentation (e.g. a individual student achievements. writing

Relevance Score: 0.633462

Work in Progress: Investigation of the Psychological and Demographic Characteristics that Impact Performance in Online Modules and Courses

Conference Session: Student Engagement, Socioemotional Needs, and Social Support During Pandemic
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Sarah E. Zappe, Pennsylvania State University; Stephanie Cutler, Pennsylvania State University; Sam Spiegel, Colorado School of Mines; Deb Jordan, Colorado School of Mines; Ariana C. Vasquez, Colorado School of Mines
Tagged Divisions: Educational Research and Methods

Theories of Engineering Abilityscale, which is an 8-item Likert-type scale measuring the degree that engineering ability is moreof an innate, fixed trait, or consisting of skills that can be improved with training and practice. Wealso created a measure, which we call the Implicit Theories of Advanced ManufacturingCompetencies scale, that is intended to measure learners’ beliefs about the malleability of thecompetencies associated with advanced manufacturing.Self-efficacy within the course modules will be measured by the self-efficacy scale on Pintrichand colleagues’ (1991) Motivated Strategies for Learning Questionnaire (MSLQ). An additionalscale that was developed by the authors of this paper includes a domain-specific measure of self-efficacy

Relevance Score: 0.0998206

The PEERSIST Project: Promoting Engineering Persistence Through Peer-led Study Groups

Conference Session: The Role of Peers in Promoting Learning and Persistence
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Thien Ngoc Y Ta, Arizona State University; Gary Lichtenstein, Arizona State University; Cody D Jenkins, Arizona State University; Karl A. Smith, University of Minnesota - Twin Cities; Ryan James Milcarek, Arizona State University; Samantha Ruth Brunhaver, Arizona State University
Tagged Topics: Diversity
Tagged Divisions: Educational Research and Methods

of URG students [13],[14].We hypothesize that PLSGs will effectively provide engineering transfer students with socialsupport that, in turn, promotes institutional and major persistence in ways consistent with socialcognitive career theory (SCCT).Study DesignTreisman’s approach has been implemented at several institutions [15], [16], [17]. Our projectdiffers in four critical ways: we (1) utilize the PEERSIST model in an engineering context, (2)extend beyond student achievement to also measure self-efficacy beliefs, (3) employ a virtualplatform to accommodate the unique work and personal circumstances of transfer students and(4) compare PLSG results to a TA-led study group.After piloting the method with four students in Spring 2020, the

Relevance Score: 0.0837101

Strategies for Effective Engagement and Learning in the COVID-19 Environment

Conference Session: Engineering Education During the COVID-19 Pandemic
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Chadia A. Aji, Tuskegee University; M. Javed Khan, Tuskegee University
Tagged Divisions: Educational Research and Methods

hands-on problemsolving and group work using zoom breakout rooms. The virtual in-class active-learning wasimplemented through solving of appropriately scaffolded problems at varying levels of Bloomstaxonomy. Virtual peer-to-peer interactions were implemented through the use of Zoom breakoutrooms.Assessment Instruments: The impact on the students’ motivation as a result of the learningenvironment, was measured using the Motivational Strategies and Learning Questionnaire(MSLQ) [14]. This instrument measures the dimensions of self-efficacy (5 items), intrinsic value(9 items), test anxiety (4 items), cognitive strategies (13 items) and self-regulation (9 items) on a5-point Likert scale (1- Strongly Disagree, 2 - Disagree, 3 -Neutral, 4- Agree, 5

Relevance Score: 0.07999663

Student Motivation and Engagement Across Time and Context Through the COVID-19 Pandemic

Conference Session: Medley of Undergraduate Programming and Pedagogies
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Matthew J. Ford, Cornell University; Soheil Fatehiboroujeni, Cornell University; Elizabeth Mills Fisher, Cornell University; Hadas Ritz, Cornell University
Tagged Divisions: Educational Research and Methods

. Plak, “College students’ motivation and study results after COVID-19 stay-at-home orders,” preprint, PsyArXiv, Oct. 2020.[11] T. Gonzalez, M. A. de la Rubia, K. P. Hincz, M. Comas-Lopez, L. Subirats, S. Fort, and G. M. Sacha, “Influence of COVID-19 confinement on students’ performance in higher education,” PLoS ONE, vol. 15, p. e0239490, Oct. 2020.[12] P. R. Pintrich, D. A. F. Smith, T. Garcia, and W. J. Mckeachie, “Reliability and Predictive Validity of the Motivated Strategies for Learning Questionnaire (MSLQ),” Educational and Psychological Measurement, vol. 53, no. 3, pp. 801–813, 1993.[13] M. Ford, H. Ritz, and E. Fisher, “Motivation, Self-efficacy, and Student Engagement in Intermediate Mechanical Engineering

Relevance Score: 0.038840875

Exploring the Properties and Growth of Student Interaction Networks on Twitter: Insights on STEM Learning and Engagement

Conference Session: Studies of Student Teams and Student Interactions
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Md Nizamul Hoque Mojumder, Florida International University; Arif Mohaimin Sadri, Florida International University
Tagged Divisions: Educational Research and Methods

. SNA allows students to examine how they participate in an informalatmosphere by equal participation [4]. Bruun et al. explored how self-reported studentinteractions can be viewed as meaning-making processes and use this to understand howquantitative measures that describe the position in a network, called centrality measures, can beunderstood in terms of the interactions that occur in the context of a university physics course[5]. Applying social network analysis (SNA) to measure student experiences, Dou et al. found acorrelation between the role of the students in their social network classroom and enhancedproduction of self-efficacy [6].Social media has been an immense influencer for making decisions nowadays [7], [8]. People arenot only

Relevance Score: 0.03289257

Characterizing Identity Profiles for Engineering Students Attending Small Colleges and Universities

Conference Session: Motivation, Goal Orientation, Identity, and Career Aspirations
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Ellen Zerbe, Pennsylvania State University; Catherine G. P. Berdanier, Pennsylvania State University; Kyeonghun Jwa, Pennsylvania State University
Tagged Topics: Diversity
Tagged Divisions: Educational Research and Methods

,” Am. Educ. Res. J., vol. 55, no. 5, pp. 965–1006, 2018, doi: 10.3102/0002831218763587.[27] B. N. Geisinger and D. R. Raman, “Why They Leave: Understanding Student Attrition from Engineering Majors,” Int. J. Eng. Educ., vol. 29, no. 4, pp. 914–925, 2013.[28] J. L. Moore III, “A Qualitative Investigation of African American Males’ Career Trajectory in Engineering: Implications for Teachers, School Counselors, and Parents,” Teach. Coll. Rec., vol. 108, no. 2, pp. 246–266, 2006.[29] R. M. Marra, K. A. Rodgers, D. Shen, and B. Bogue, “Women Engineering Students and Self-Efficacy: A Multi-Year, Multi-Institution Study of Women Engineering Student Self- Efficacy,” J. Eng. Educ., vol. 98, no. 1, pp. 27–38

Relevance Score: 0.03019854

Thinking as Argument: A Theoretical Framework for Studying how Faculty Arrive at Their Deeply-held Beliefs About Inequity in Engineering

Conference Session: Faculty Perspectives of Active Learning, Inequity, and Curricular Change
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Jeremy Grifski, Ohio State University; Emily Dringenberg, Ohio State University; Dira Melissa Delpech, Ohio State University
Tagged Topics: Diversity
Tagged Divisions: Educational Research and Methods

Relevance Score: 0.027617171

Work in Progress: Longitudinal Study of Identity-based Motivation of Students Participating in Chemical Engineering Research Center Programs

Conference Session: Efforts to Understand and Support Students' Socioemotional Factors
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Joana Marques Melo, Purdue University, West Lafayette; Allison Godwin, Purdue University, West Lafayette
Tagged Divisions: Educational Research and Methods

expectations in U.S. undergraduate civil engineering programs,” Australasian Journal of Engineering Education, vol. 25, no. 1, pp. 79–89, Jan. 2020, doi: 10.1080/22054952.2020.1720434.[26] R. A. Revelo Alonso, “Engineering familia: The role of a professional organization in the development of engineering identities of Latina/o undergraduates,” Ph.D., University of Illinois at Urbana-Champaign, United States -- Illinois, 2015. Accessed: Mar. 07, 2021. [Online]. Available: http://search.proquest.com/docview/1748662367/abstract/67E260FA87274C15PQ/1[27] D. Verdin and A. Godwin, “EXPLORING LATINA FIRST-GENERATION COLLEGE STUDENTS’ MULTIPLE IDENTITIES, SELF-EFFICACY, AND INSTITUTIONAL INTEGRATION TO INFORM

Relevance Score: 0.026698783

What Should Teachers Do? Visibility of Faculty and TA Support Across Remote and Traditional Learning

Conference Session: Studies of Shifting In-person Courses to Online and Students' Online Behavior
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Morgan Elizabeth Anderson, University of Washington; Denise Wilson, University of Washington; Ziyan Bai, University of Washington; Neha Kardam, University of Washington; Shruti Misra, University of Washington
Tagged Divisions: Educational Research and Methods

engineering education focus on the role of self-efficacy, belonging, and other non- cognitive aspects of the student experience on engagement, success, and persistence and on effective methods for teaching global issues such as those pertaining to sustainability.Ziyan Bai, University of Washington Ziyan Bai has a Ph.D. in educational leadership and policy studies with a focus on higher education. She has over six years of research and professional experience in the field of higher education. With a dedication to diversity, equity, and inclusion, she is committed to using qualitative and quantitive research to inform impact-driven decisions.Neha Kardam, University of Washington Neha Kardam is a Ph.D. student in Electrical

Relevance Score: 0.026663646

Investigating Factors that Predict Academic Success in Engineering and Computer Science

Conference Session: Academic Success and Retention
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Olusola Adesope, Washington State University; Oluwafemi J. Sunday, Washington State University; Ebenezer Rotimi Ewumi, Washington State University; Angela Minichiello P.E., Utah State University; Muhammad Asghar P.E., Utah State University; Candis S. Claiborn, Washington State University
Tagged Topics: Diversity
Tagged Divisions: Educational Research and Methods

ofpractices that would result in the maximum attainment of academic success for students fromvarious backgrounds and among different levels of their study program (i.e., first-year or seniorstudents). Additionally, these engagement practices' voluntary nature means that students fromminority demographic groups might not participate, and they are more at risk of dropping out ofan engineering program. However, studies have shown that participation in HIEP improves E/CSHIEP participation could be a predictor of academic success [5]. The combination of severalengagement academic practices, and experience would increase the general knowledge within amajor, improves competence (self-efficacy), social interactions, and job opportunities [1

Relevance Score: 0.02632771

Design of a Comprehensive System to Benchmark Makerspaces

Conference Session: Teaching In and Through Design, Maker Spaces, and Open-ended Problems
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Amit Shashikant Jariwala, Georgia Institute of Technology; Nicholas Greenfield, Georgia Institute of Technology; Emily Orton, Georgia Institute of Technology; Rohan Banerjee, Georgia Institute of Technology
Tagged Divisions: Educational Research and Methods

Computational Data Analysis. Interested in industrial automation, product design, high volume manufac- turing, and renewable energy. American c Society for Engineering Education, 2021 Design of a comprehensive system to benchmark makerspacesAbstractMakerspace, a term coined in the early 2000s by MAKE Magazine, is an umbrella term for manyorganizations that share a common goal; to support creative self-efficacy. Makerspaces can beunderstood as the 21st-century evolution of libraries - communities allowing members withshared interests to collaborate on developing ideas while socializing the financial burden ofequipment access and upkeep. A makerspace can look very different

Relevance Score: 0.025919978

Understanding How Social Agents and Communicative Messages Influence Female Students’ Engineering Career Interest From High School to First Semester of College (Fundamental)

Conference Session: Medley of Undergraduate Programming and Pedagogies
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Yue Liu, Arizona State University; Dina Verdin, Arizona State University; Gerhard Sonnert, Harvard Smithsonian Center for Astrophysics
Tagged Topics: Diversity
Tagged Divisions: Educational Research and Methods

interest, but they are still severely underrepresented in the field of engineering. Priorliterature demonstrated that various factors contribute to students’ engineering career interests,such as self-efficacy and social support. Previous research also explained that students’ earlyengineering interest was the most influential predictor of their engineering major and careerchoice. Therefore, it is necessary to examine students’ engineering career interest trajectoriesprior to college to better understand how students develop or hinder their interest in anengineering career. This study answers the following research question: “Which social agentsand what communicative messages influence female students’ intentions to choose engineeringas a career at

Relevance Score: 0.025165452

Virtual Reality in STEM Education During COVID-19

Conference Session: Innovative Pedagogies Afforded Through Technology and Remote Learning
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Chadia A. Aji, Tuskegee University; M. Javed Khan, Tuskegee University
Tagged Topics: Diversity
Tagged Divisions: Educational Research and Methods

. However, the COVID-19 protocolsimpacted the implementation of these lessons in a VR environment. The lessons were thereforeimplemented such that students could experience them on their computer screens at any time andfrom anywhere. The software platform allowed interaction with the 3D environment usingmouse/cursor controls. The methodology of the development of a VR lesson and links to the VRlessons are included in the paper. Attitude surveys were administered to students before and afterthe implementation of these interactive lessons. Results from these surveys are shared. Thispaper is based on an exploratory project funded by the NSF HBCU Target Infusion Projectsprogram.IntroductionLow self-efficacy associated with challenges in understanding

Relevance Score: 0.024990214

Comparing Wellbeing Indicators, Perception of Stress, Competition, and Achievement Between Undergraduate Engineering, Other STEM, and Non-STEM Majors

Conference Session: Student Engagement, Socioemotional Needs, and Social Support During Pandemic
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Matilde Luz Sanchez-Pena, University at Buffalo; Chloe Otis, Purdue University, West Lafayette
Tagged Topics: Diversity
Tagged Divisions: Educational Research and Methods

affects students in these majors negatively.Instructor characteristics such warmth and encouragement are associated with a strong sense ofbelonging [30] and these are typically absent in the traditional teaching methods employed inengineering [7]. Additionally, sense of belonging is directly related to a student's self-efficacy tosucceed and their value of their coursework [30]. In return this lack of value in their curriculumcan support the perception of a poor campus climate as they feel as they are not supported tosucceed.In terms of the elements related to diversity and inclusion, engineering students showed a higherknowledge of campus programs, policies, and efforts than the other two groups; however, theyhad a significantly lower levels of

Relevance Score: 0.024207205

What Do Students Need from other Students? Peer Support During Remote Learning

Conference Session: The Role of Peers in Promoting Learning and Persistence
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Neha Kardam, University of Washington; Shruti Misra, University of Washington; Morgan Anderson, University of Washington; Ziyan Bai, University of Washington; Denise Wilson, University of Washington
Tagged Topics: Diversity
Tagged Divisions: Educational Research and Methods

for analysis. All results were cross-sectional.InstrumentsThe instrument used to collect data for this study was a survey which asked students to reporttheir perceptions of various items related to peer support, engagement, belonging, peerharassment, task value, self-efficacy, TA and faculty support, and TA and faculty interactions aswell as multiple demographic items. The survey also included five short answer questions whichasked students to identify their primary expectations for faculty support (one question), TAsupport (one question), and peer support (three questions). Two of these short answer questionswere included in this analysis.The four Likert scale items used to measure peer support (Table 2) included elements ofinformational

Relevance Score: 0.023911381

Assessing the Impact of Transition from Face-to-Face to Online Instruction on Team Cooperation

Conference Session: Engineering Education During the COVID-19 Pandemic
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Aparajita Jaiswal, Purdue University, West Lafayette; Paul J. Thomas, Purdue University, West Lafayette; Tugba Karabiyik, Purdue University, West Lafayette; Viranga Perera, Purdue University, West Lafayette; Alejandra J. Magana, Purdue University, West Lafayette
Tagged Divisions: Educational Research and Methods

as an ITprofessional [4]. To address these needs, cooperative learning pedagogies have beenimplemented in higher education settings to promote proficiency in problem-solving skills,communication, and teamwork [5], [6]. Cooperative learning implemented through small grouplearning has been largely successful in STEM courses in promoting academic achievement andstudent perceptions of self-efficacy [7], [8]. A prominent model used to characterize teamdevelopment in various settings is the Tuckman model. It lends itself well to cooperativelearning and proposes a series of stages that teams must overcome to function effectively [9].Courses should ideally be structured in a manner that implements the tenets of cooperativelearning [5] while allowing

Relevance Score: 0.023361435

A Student-centered Program to Increase STEM Interest Through NASA-STEM Content

Conference Session: Efforts to Understand and Support Students' Socioemotional Factors
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Madasamy Arockiasamy, Florida Atlantic University; Sudhagar Nagarajan, Florida Atlantic University; Hassan Mahfuz, Florida Atlantic University; Michael R. Maniaci, Florida Atlantic University; Ishwarya Srikanth, Florida Atlantic University; Stephen Michael Castillo; Reinaldo L. Dos Santos, Florida Atlantic University
Tagged Topics: Diversity
Tagged Divisions: Educational Research and Methods

: o How are the student learning activities perceived by teachers (in terms of overall quality and perceived usefulness in building STEM interest, skills, and knowledge)? o Are the teacher professional development workshops associated with improvements in teachers’ confidence delivering STEM content in the classroom? o Are the student activities associated with improvements in student outcomes (including students’ self-efficacy, outcome expectations, and interest in STEM)? Inputs Activities Outputs Outcomes • NASA funding Developing Teaching Teaching Modules

Relevance Score: 0.022088436

Common and Uncommon Characteristics of Engineering Student Retention After the First Year in University

Conference Session: Academic Success and Retention
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Nong Ye, Arizona State University; Ting Yan Fok, Arizona State University; James Collofello, Arizona State University; Tami Coronella, Arizona State University
Tagged Divisions: Educational Research and Methods

. IntroductionMany studies [1] – [37] investigated various factors of retention in STEM (Science,Technologies, Engineering, and Mathematics) education for undergraduates, includingdemographics [9], [10], [17], financial aids [1], [11], [14], [22], [25], [33], test scores and gradesin high school [2], [4], [7] – [10], [12], [13], [15] – [19], [21], [22], test scores and grades inuniversity/college [2], [3], [13], [27], [33], [34], courses and curriculums [3], [5] – [7],intellectual skills and abilities [2] – [4], [6], [8] – [10], [16], [20], motivational factors and self-efficacy [2], [5], [7], [26], [29], academic and social environments [3], [6], [9], [30] – [32], [36],[37], and interventions [2], [3], [6], [23], [24], [28]. These studies identified

Relevance Score: 0.0218363

Curriculum Design: Using the Five Discourses of Design Thinking

Conference Session: Research Methods and Studies on Engineering Education Research
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Javeed Kittur, Arizona State University; George K. Karway, Arizona State University; Mohammad Zaid Alrajhi, Arizona State University; King Saud University; Brian Carl Nelson, Arizona State University; Seungki Shin, Seoul National University of Education
Tagged Divisions: Educational Research and Methods

, K. L. (2015). Recommendations for Practice: Designing Curriculum for Gifted Students/Uygulamaya Yönelik Öneriler: Üstün Zekali Ögrenciler Için Müfredat Tasarimi. Türk Üstün Zeka Ve Eğitim Dergisi, 5(2), 157–166.36. Miles, M. B., Huberman, A. M., & Saldaña, J. (2018). Qualitative data analysis: A methods sourcebook. Sage publications.37. Kittur, J. (2020). Measuring the programming self-efficacy of Electrical and Electronics Engineering students. IEEE Transactions on Education, 63(3), 216-223.38. Kittur, J., & Brunhaver, S. (2020) Developing an Instrument to Measure Engineering

Relevance Score: 0.02159998

Serious Games in Engineering: The Current State, Trends, and Future

Conference Session: Innovative Pedagogies Afforded Through Technology and Remote Learning
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Javeed Kittur, Arizona State University, Polytechnic campus; Tahzinul Islam, York University
Tagged Divisions: Educational Research and Methods

Relevance Score: 0.021020582

A Two-step Model for the Interpretation of Meaningful Recognition

Conference Session: Undergraduate Students' Development of Computational and Programming Skills
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Kelsey Scalaro, University of Nevada, Reno; Indira Chatterjee, University of Nevada, Reno; Ann-Marie Vollstedt, University of Nevada, Reno; Jeffrey C. LaCombe, University of Nevada, Reno; Adam Kirn, University of Nevada, Reno
Tagged Divisions: Educational Research and Methods

. Cambridge University press, 1999.[29] K. J. Cross and M. C. Paretti, “African American males’ experiences on multiracial student teams in engineering,” 2020.[30] J. A. Leydens, B. M. Moskal, and M. J. Pavelich, “Qualitative methods used in the assessment of engineering education,” J. Eng. Educ., vol. 93, no. 1, pp. 65–72, 2004.[31] A. R. Carberry, H. S. Lee, and M. W. Ohland, “Measuring engineering design self- efficacy,” J. Eng. Educ., vol. 99, no. 1, pp. 71–79, 2010.[32] S. Elo and H. Kyngäs, “The qualitative content analysis process,” J. Adv. Nurs., vol. 62, no. 1, pp. 107–115, Apr. 2008.[33] H. F. Hsieh and S. E. Shannon, “Three approaches to qualitative content analysis,” Qual. Health Res., vol