such asenvironment, learner aptitude, and course design elements [2]. The distinct effect specific tostudent engagement and learning strategies could potentially contribute to student satisfaction[3]. Studies have shown faculty reluctance to accept online learning as a valid modality ofteaching and learning. Additionally, as recently as the spring of 2020, surveys identify a strongbelief among faculty that online courses will lead to lowered student performance [7]. Thisdisdain of the online experience is exacerbated by students’ lack of confidence, insufficientsupport, poor course design, inadequate feedback, and lack of instructor presence in the onlinelearning environment [8]. Shen [9] noted self-efficacy as the critical component
, document, observe, and quantify the development of a student’s EM during hands-on experiences in an REU. his work-in-progress paper describes the successful implementation of concept mapping as anTanalytical tool to measure student learning outcomes in the non-traditional learning environment of an REU. Furthermore, this paper describes a work in a current study to explore the development of research self-efficacy and engineering identity development of early career engineering students who participate in a 10-week interdisciplinary research experience and community-building activities through the Engineering Grand Challenges Scholars REUp rogram. This paper illustrates the key role of the
STEM-literacy for students majoring in engineering, thehumanities, or social sciences. Additionally, the course aims to positively impact students’ affectby attending to their motivation, attitudes, beliefs and self-efficacy towards STEM content andengineering as a creative profession. With fewer than 40% of college students intending onmajoring in STEM graduating, there is a need to address retention and graduation in highereducation1. Furthermore, as noted by the NAE2 and the ASEE3 it is important for all students toappreciate the central role of engineering in all facets of modern life. The civil engineering ideasdisseminated by the Structures course are vital to STEM majors and students majoring in thehumanities and social sciences alike
measurable constructs of affect.Exploring affect in the STEM education literature11, we identified possible constructs. For thepurpose of this study, the constructs of affect are: interest, motivation, attitude, and self-efficacy.Interest reflects the level of student engagement or reengagement with the STEM contentpresented in the Structures course. Motivation triggers or maintains a students’ goal-orientatedbehavior to further engage with STEM content. Students’ attitude, positive or negative, providesan evaluation about the content presented in Structures. Students’ self-efficacy for STEM contentreflects their expectancy about his or her ability to do well on a specific STEM-related task.Utilizing the framework defining STEM-literacy and student
sketching fundamentals inperspective to engineering students that was developed at Texas A&M University [6-11]. Thesystem has been deployed at three universities for 4 years in undergraduate and graduatemechanical engineering and design graphics courses. It has also been used by undergraduateinstructors outside of engineering. Students receive real-time feedback on their speed, precisionand smoothness and also an additional tip to help them improve. SketchTivity has repeatedlyimproved the sketching self-efficacy of students along with sketching skill development. Asurvey instrument that measures the self-efficacy of students was developed and validated as partof the project that helped us [12].A few years ago, an instructor who used
support from science teachers, while interest andaspirations for mathematics study was associated with math self-efficacy, math salience, andsupport from math teachers. Gender ideology also played a role, but in the opposite directionexpected.To shed additional light on these findings, we analyzed data from Key Informant interviewsconducted with several local and national STEM leaders. Themes from the Key Informantinterviews included attention to extracurricular activities (infrastructural issues, socioeconomicsupport, the need to support adults in their work with urban youth, specific challenges associatedwith after-school STEM opportunities) and messages to girls regarding STEM involvement(gender-specific messages that can discourage or
-making after participating in an integrated science,technology, engineering, and mathematics academic/ career summer camp. Using a case studymethodology, we examine three of the students in detail regarding their changes in self-reportedfuture academic major choices and career goals utilizing measures of motivation, self-efficacy,and self-determination.Interview data provides qualitative evidence that participants’ experiences during camp mayindeed impact their short-term outlook towards their informed decision making and motivationrelated to pursuing STEM careers. Repeat participants (two or more years) are highlighted as casestudies and their survey and interview input is analyzed to determine to what extent, if any, studentsattribute changes
5% Doctor’s 80%* Percentages reflect some rounding errorEQ1: Factors associated with individual Fellows’ successStudents are exceptional upon entryA partner arm of the Epicenter project has been conducting national research on the entrepreneurialmindset of engineering students through a survey of junior or senior engineering majors1.Constructs were developed for Innovation Self-Efficacy, and Career Goals: Innovation work(Figure 1). Figure 1: Engineering Major’s Survey Constructs Innovation Self Efficacy Construct Career Goals: Innovation work construct How confident are you in your ability to do How important is it to you to be involved in the each of the following at this
intelligent web interface for automatic grading of sketched free-body diagrams,”presented at the 2021 ASEE Virtual Annual Conference, 2021.[11] P. S. Steif and J. A. Dantzler, “A statics concept inventory: Development andpsychometric analysis,” Journal of Engineering Education, vol. 94, no. 4, pp. 363–371, 2005,doi: https://doi.org/10.1002/j.2168-9830.2005.tb00864.x.[12] D. Hestenes, M. Wells, and G. Swackhamer, “Force concept inventory,” The physicsteacher, vol. 30, no. 3, pp. 141–158, 1992.[13] A. R. Carberry, H.-S. Lee, and M. W. Ohland, “Measuring engineering design self-efficacy,” Journal of Engineering Education, vol. 99, no. 1, pp. 71–79, 2010, doi:https://doi.org/10.1002/j.2168-9830.2010.tb01043.x.[14] N. Stites et al., “Analyzing an
Knowledgeable Biomedical Workforce,” CBE Life Sci. Educ., vol. 13, no. 4, pp. 636–640, 2014, doi: 10.1187/cbe.14- 06-0101.[15] N. A. Mamaril, E. L. Usher, C. R. Li, D. R. Economy, and M. S. Kennedy, “Measuring Undergraduate Students’ Engineering Self-Efficacy: A Validation Study,” J. of Eng. Educ., vol. 105, no. 2, pp. 366–395, 2016, doi: 10.1002/jee.20121.[16] S.L. Ash and P.H. Clayton, “The Articulated Learning: An Approach to Guided Reflection and Assessment,” Innovative Higher Educ., vol. 29, no. 2, pp. 137-154, 2004, doi:10.1023/B:IHIE.0000048795.84634.4a
, limited early exposure to computing, competent preparation in science andmathematics, lack of self-efficacy to succeed in computing, the small proportion of womenamong computing faculty and student populations, differential treatment by male peers,prominence of geek culture, and a pervasive sense of not belonging to computing9,10,11,12,13,14,15,16.This has led some to see computing as a masculine field17,18.In contrast, women in many developing countries have increased their presence in computing. Inrecent years, scholars have begun to turn their attention to women in computing outside westerncountries19,20,21. Studies show that computing is a popular major among women in mostdeveloping countries. This is despite the fact that women in developing
individually. Constructs on the instrument are assessed on a 7-point Likert scale and scores aredetermined by obtaining participants mean score for items on each sub-scales. We used items onfour motivational sub-scales of the instruments to assess intrinsic and extrinsic goal orientations,task value and self-efficacy for learning and performance. Items were adapted from four of thelearning strategies sub-scales to assess students’ use of cognitive and regulatory learningstrategies (critical thinking, peer learning, metacognitive self-regulation and elaboration).Objectives of the StudyThis work in progress describes a proposal for examining the psychometric analysis of MSLQfor assessing engineering students’ motivation and learning strategies. Although
processes: Inside the black box,” Public Administration Review, vol. 66, no. s1, pp. 20–32, Dec. 2006.[19] A. M. Thomson, J. L. Perry, and T. K. Miller, “Conceptualizing and measuring collaboration,” Journal of Public Administration Research and Theory, vol. 19, no. 1, pp. 23–56, Nov. 2007.[20] S. Y. Yoon, M. G. Evans, and J. Strobel, “Validation of the teaching engineering self- efficacy scale for K-12 teachers: A structural equation modeling approach,” Journal of Engineering Education; Washington, vol. 103, no. 3, pp. 463–485, Jul. 2014.[21] M. Knight and C. M. Cunningham, “Draw an engineer test (DAET): Development of a tool to investigate students’ ideas about engineers and engineering,” presented at the ASEE Annual
trustworthiness of the findings. The final codebook was developed, and categorieswere organized into factors (internal and external) and dimensions (systemic/programmatic)based on emergent participant responses.FINDINGSThe findings from this study revealed that the engagement of STEM faculty in EEPs was shapedby an interplay of internal and external influences, which related with systemic andprogrammatic dimensions relevant to entrepreneurship and EEPs. We define internal influencesas interactions within the individual, such as identity and self-efficacy. External influencesinvolved interactions found in the structures or setting outside of the individual, such as theiracademic setting or family structures. Programmatic dimensions focused on aspects
the program improved on their leadership self-efficacy and belief that womencan be successful in leadership positions. In addition, the Women in Engineering LeadershipInstitute (WELI) has also held workshops to support the formation of a network of womencolleagues and mentors that help participants evaluate future leadership opportunities to succeedin academia. Participants reported that the program helped them to prepare for complexleadership roles by developing critical leadership knowledge and skills [5].Purpose of studyThis “work in progress” paper highlights how women engineering students acquire leadershipknowledge and skills to develop their leadership identity in a project-based engineeringleadership course with teams composed
manufacturing course at three large state universities:Texas Tech University, Kansas State University, and California State University – Northridge.The research questions addressed are: (1) What are the changes in skill and knowledge concerning additive manufacturingexperienced by undergraduate students? (2) What is the effect of this course on attitudes towards engineering and self-efficacy inengineering for enrolled undergraduate students?The sample consists of four years of data from the undergraduate students enrolled in the courseat all three universities (combined N = 196). Our method for data collection was matched-pairsurveys that contained both (i) an assessment for content knowledge and (ii) an attitudinalassessment previously
on nine semesters of Fab Friday programming, a total of 107 Fab Friday participantscompleted the Fab Friday Student Satisfaction Survey designed to provide recommendations forprogrammatic improvement. We measured three major areas: skill building, learning computerscience, and teamwork. In addition, we administered the Glynn et al. (2011) Science MotivationQuestionnaire (SMQ) [9]. The SMQ provides scores on 5 domains: Career motivation (anextrinsic motivation for learning CS to secure a good career), Grade motivation (an extrinsicmotivation for learning CS in order to achieve good grades), Self-determination (an individual’sbeliefs in their personal control over learning CS), Self-efficacy (an individual’s confidence intheir ability to learn
immediate feedback. As collegebound populations continue to change, this program has shown results that may allow schoolswith decrease enrollment to better support underprepared students in their own academic quests,increasing retention and graduation rates along the way.MethodThis program has focused on two specific areas which were lacking with this student population,curricular focus on areas of interest and co-curricular support programming, to help foster agreater sense of belonging while instilling self-efficacy in the most significant problem areas forunderprepared STEM students, mathematics and science. Utilizing two newly developedcourses, the curriculum effectively transfers students to their majors one semester earlier thanpreviously
potential and details must be refined.References 1. Lincoln, Steven. (2015, May 15). Trustees approve Purdue Polytechnic Institute name. Purdue University News. 2. Laux, D. (2014). A model for measuring student persistence through collaborative learning (Doctoral Dissertation). Retrieved from Digital Repository at Iowa State University. (Paper 14175) 3. Chemers, M. M., Hu, L. T., & Garcia, B. F. (2001). Academic self-efficacy and first year college student performance and adjustment. Journal of Educational Psychology, 93(1), 55-64. 4. Hutchison, M. A., Follman, D. K., Sumpter, M., & Bodner, G. M. (2006). Factors influencing the self- efficacy beliefs of first-year engineering students. Journal of
commonand uncommon viewpoints from students of different backgrounds to seek out and join suchresearch programs. Another purpose of this study was to gauge the impacts of summer researchexperiences on US and non-US students. The following research questions guided this study: 1. What is the REU impact on the students’ career goals? 2. What is the REU impact on the students’ self-efficacy about making decision about graduate school and success therein? 3. How do the REU participants perceive any changes on their research knowledge, skills, and engineering career path? 4. What is the difference in the impact of the REU between national and international students?II. MethodA. SettingA.1 Objectives of the REU Program
by the endof the semester.Results for Student Ranking of Class ActivitiesIn addition to the diversity and engineering identity survey questions, students rated classactivities to better understand what pedagogical practices fostered self-efficacy and engineeringidentity (see Tables 5-8).Students in the grand challenges course indicated that the visit with Steve Swanson (NASAastronaut) was the most helpful course activity in developing student self-efficacy and interest.Students also suggested that discussions about engineering and interacting with professors washelpful in developing self-efficacy while discussion of engineering challenges helped to fosterinterest. Students in the civil engineering course indicated that learning practical
confirmatory factor analysis on the pre- and post-survey datarespectively, we will validate and test the reliability of the surveys to measure self-efficacy, senseof belonging, perceptions of the curriculum, and perceptions of DEI.Fig. 1: Three levels of DEI student interventionData AnalysisThe pre-survey data was collected in the Fall 2023 semester, and is currently being analyzedusing SPSS and R softwares. After data cleaning, results of the pre-survey indicated that therewere 10 students in the S-STEM scholarship program, 91 in just the ELC, and 135 in neither.This represents a 100%, 84%, and 90% response rate for these populations, respectively. Asexpected, comparisons between these groups did not yield significant differences. However, weexpect
clinical immersion course impacts students from historicallymarginalized groups in race, ethnicity, first-generation status, gender, and age. Comparisonswere made between historically marginalized groups such as African Americans, Hispanics,women, and first-generation college students and their dominant counterparts. Pre- and post-course Likert scale questions were used to analyze the student’s sense of self-efficacy, abilities tomake connections and create value, and general interests in engineering. Preliminary dataanalysis indicated that there are discrepancies in the results of different demographic groups.Further analysis will be conducted to reveal the intricacies of the relationship betweenhistorically marginalized groups and their
create early on-ramps for students to begin the Introduction toEngineering course at the appropriate time to best leverage the study skills gained in thecourse.With the measured gains in student success, self-efficacy, and identifying with their pathin engineering, the curriculum shows success in achieving these main outcomes forstudents. From here the path forward is to continue developing resources to create anequally engaging, motivating, and empowering educational experience for studentstaking the course online. Special attention will be given to getting students connected toeach other and continue building the teamwork and communication skills essential tostrong academic success, rewarding careers, and fulfilling lives.AcknowledgementsThis
teams were reminded to complete their bi-weekly logs and their weekly mindmaps. During the final week, undergraduates completed the post-test survey during class to limitattrition.MeasuresStudents completed both quantitative measures and qualitative measures. The self-report surveysof the soft skills measures included a problem-solving inventory, and an interpersonalcompetence scale. The multiple perspectives measures included an interpersonal competencyquestionnaire, and an interpersonal reactivity index. The openness to failure measures included ageneral self-efficacy scale, a theory of intelligences survey, and a curiosity and explorationinventory.A. Problem-Solving (Heppner & Petersen [12] Problem-Solving Inventory) consisted of 32
Women in MississippiAbstractThe NSF INCLUDES Mississippi Alliance for Women in Computing (MSAWC) strives to:generate interest and participation of women in computing; improve recruitment and retentionrates of women in undergraduate computing majors; and help post-secondary women make atransition to the computing workforce. Activities designed to engage girls and young womenwith computing, emphasizing computational thinking and cybersecurity knowledge andawareness, and to illuminate a pathway forward are hosted and facilitated through Alliancepartnerships.The authors will describe a project-based approach to facilitating learning among K-12 students.By engaging students at an early age, we believe we can promote the development of self-efficacy
smart devicesMethodsA university teaching, learning and technology research team collaborated with the courseprofessor to conduct the study. All students in both the TLC and ALC courses were invited tocomplete three surveys during the semester—one at the beginning of the semester, one in themiddle of the semester, and one at the end of the semester. The first survey assessed students’self-efficacy, intrinsic values, and test anxiety [10]. The second survey included questionsconcerning students’ perceptions of the helpfulness of the class sessions and study hours in atypical week. The third survey reassessed students’ self-efficacy, intrinsic values and testanxiety, helpfulness of the class sessions, and study hours. Additionally, questions
from a social cognitive perspective10,11 thatconsiders the multiple environments central to one’s life and work. Relevant to thisproject, the authors advocated that attention be given to the multiple environments ofresearch, academia and home/family life that create numerous and often competingexpectations and demands on one’s work life. These multiple environments interactwith personal characteristics (e.g. gender, race) to influence career behaviors,confidence in one’s ability to do research (research self-efficacy), and the outcomes oneexpects from a research career (career self-efficacy). These factors, in turn, predict one’sinitial or sustained interest in a research career pathway. This theoretical framework isimportant because it
reviews of social science research,lunchtime seminars focused on gender issues, a faculty mentoring program, an allies programfor male faculty, and a worklife policy effort. Some aspects of the program have beenexpanded to address issues of women undergraduate and graduate students through seminarsfor graduate students, training for freshman faculty, and workshops for undergraduatestudents. Program assessment to-date suggests that women faculty have made some gains inwork self-efficacy and job satisfaction. Their perceptions of the quality of interactions withcolleagues have also shown improvement. Survey data suggests that more than half of thewomen faculty report increased professional self-confidence as a result of the program.Women faculty
withand sense of confidence in their major and career choice, outcome expectations and perceivedbarriers and supports using self-efficacy instruments. Track One and Two cohorts will be askedto complete the measures of these constructs on annual basis throughout the period of our NSFfunding in order to begin assessing the long term impact of RISE participation.Students will complete a satisfaction survey assessing the various program elements at the end ofthe experience (for example, training in teamwork). The students’ accomplishments as a resultof their program participation will be evaluated. In the case of Track One participants, thestudent summary team reports will be reviewed. For Track Two participants, members of theAdvisory Board will