sequences: A review and analysis,” Stud. Sci. Educ., vol. 47, pp. 123–182, Sep. 2011.[12] C. B. Zoltowski, W. C. Oakes, and A. E. Cardella, “Students’ ways of experiencing human-centered design,” J. Eng. Educ., vol. 101, no. 1, pp. 28–59, 2012.[13] E. A. Sanders, M. H. Goldstein, and J. L. Hess, “Assessing Ways of Experiencing Human- centered Design via Student Reflections,” ASEE Annu. Conf. Expo. Conf. Proc., 2021.[14] J. Hehn and F. Uebernickel, “Towards an understanding of the Role of Design Thinking for Requirements Elicitation - Findings from a Multiple-Case Study,” Am. Conf. Inf. Syst. 2018 Digit. Disruption, AMCIS 2018, pp. 1–10, 2018.[15] Stanford d.school, “Bootcamp Bootleg,” Stanford d.school, p. 47, 2010.[16] R. Razzouk
may not be a consensus about thedefinition and measurement of student engagement [15, 16]. While some maintain that“[s]tudents always lie at the heart of conversations about student engagement” (p. 3) [17], othersbelieve that it is important to recognize the role of postsecondary institutions in student 2engagement [18-20]. Consequently, it is posited that student engagement consists of twocomponents: (a) the extent to which students participate in educationally effective activities; and(b) the institutional resources, learning opportunities and services, and students’ perceptions ofthe institutional environment that supports student learning and
—and greatefforts to fulfill this desire will be exerted [5, p. 381]. As with the other psychological theoriesand constructs, the concept of belonging is based on Maslow’s hierarchy of needs [6]. Later, Baumeister and Leary [4] broadened the construct of belonging with thebelongingness hypothesis. They defined belonging as a factor in developing and maintaininglasting, positive, and meaningful interpersonal bonds. Furthermore, this hypothesis is supportedby two characteristics: (a) that individuals maintain conflict-free interaction with others and (b)that individuals retain connections with others through stable, committed, and genuine concern.By developing long-term relationships, a person can satisfy their need for SB. According to
Education, vol. 98, no. 1, pp. 53–66, Jan. 2009, doi: https://doi.org/10.1002/j.2168-9830.2009.tb01005.x.[2] K. Kelly and B. Bowe, “Qualitative research in engineering education,” ASEE Annual Conference and Exposition, Conference Proceedings, 2011.[3] R. L. Jackson, D. K. Drummond, and S. Camara, “What is qualitative research?,” Qualitative Research Reports in Communication, vol. 8, no. 1, pp. 21–28, 2007, doi: 10.1080/17459430701617879.[4] A. L. Pawley, “Learning from small numbers of underrepresented students’ stories: Discussing a method to learn about institutional structure through narrative,” ASEE Annual Conference and Exposition, Conference Proceedings, 2013, doi: 10.18260/1-2--19030.[5] L. H
Mwangi, N. Changamire, and J. Mosselson, “An intersectional understanding of African international graduate students’ experiences in US higher education,” Journal of Diversity in Higher Education, vol. 12, no. 1, pp. 52, 2019.[2] C. Rodríguez, C. R. Chavez, and C. Klauber, “International graduate student challenges and support,” International research and review, vol. 8, no.2, pp. 49-64, 2019.[3] T. T. Tuma, J. D. Adams, B. C. Hultquist, and E. L. Dolan, “The dark side of development: A systems characterization of the negative mentoring experiences of doctoral students,” CBE—Life Sciences Education, vol. 20, no.2, pp. ar16, 2021.[4] Institute of International Education, “Fall 2022 snapshot on international
H. Kyngäs, "The qualitative content analysis process," Journal of Advanced Nursing , vol. 62, no. 1, pp. 107-115, 2008.[25] J. A. Leydens, B. M. Moskal and M. J. Pavelich, "Qualitative methods used in the assessment of engineering education," Journal of Engineering Education, vol. 93, no. 1, pp. 65-72, 2004.[26] H. F. Hseih and S. E. Shannon, "Three approaches to qualitative content analysis," Qualitative Health Research , vol. 15, no. 9, pp. 1277-1288, 2005.[27] A. Assarroudi, F. Heshmati Nabavi, M. R. Armat , A. Ebadi and M. Vaismoradi, "Directed qualitative content analysis: the description and elaboration of its underpinning methods and data analysis process," Journal of Research in Nursing , vol. 23, no. 1, pp. 42-55
, “The AEQ-S: A short version of the Achievement Emotions Questionnaire,” Contemp. Educ. Psychol., vol. 65, p. 101940, Apr. 2021, doi: 10.1016/j.cedpsych.2020.101940.[14] American Educational Research Association, American Psychological Association, and National Council on Measurement in Education, Standards for educational and psychological testing. Washington DC: American Educational Research Association, 2014.[15] W. Cobern and B. Adams, “Establishing survey validity: A practical guide,” Int. J. Assess. Tools Educ., pp. 404–419, Aug. 2020, doi: 10.21449/ijate.781366.
Intrinsic Motivation in the 21st Century”, Special Issue of selected papers from AFBE UNITEN Conference, 5 (3), pp.371-381, 2012.[5] R. Conaway and M.C. Garay, “Gamification and Service Marketing”, SpringerPlus, 3, pp.653, 2014.[6] F. Nah, B. Eschenbrenner, C. Claybaugh, and P. Koob, “Gamification of Enterprise Systems”, Systems, Vol. 7, No. 13, 2019. Available: https://doi.org/10.3390/systems7010013[7] F. Noorbehbahani, F.Salehi, and R. Jafar Zadeh, "A systematic mapping study on gamification applied to e-marketing", Journal of Research in Interactive Marketing, Vol. 13 No. 3, pp. 392-410, 2019. Available: https://doi.org/10.1108/JRIM-08-2018-0103[8] I. Prasetya, C. Leek, R. Oosenbrug, and P. Kostic, “Can Learning Formal
with a range of 1 to 7, signifying a moderate belief in their ability to control effort and attention intheir HyFlex class. The non-significant Pearson correlation (r = 0.019, p = 0.773) indicated that students whoopted for face-to-face or remote participation had a comparable experience in effort regulation. Students, onaverage, scored 4.58 in peer learning, indicating a moderate belief in working and learning with peers in theirHyFlex class. The non-significant Pearson correlation (r = -0.020, p = 0.716) revealed that face-to-face orremote participants had similar experiences in peer learning.Study 8: Krishna, B. (2023). Effect of Modalities on Group Performance in Hyflex Environment (30685608)[Master’s thesis, Purdue University]. ProQuest
grader toprocess the work and provide feedback. Lengthy feedback times are suboptimal from a learningperspective since the student may miss opportunities to learn from the feedback. Faster feedbackresults in better learning because the feedback has better connection to the work when thememory of the work is fresh.One way to reduce grading time is to employ low-resolution grading, that is, grading methods thatuse low numbers of possible grade levels. Grading on a scale of 100% without fractionalpercentage points has 100 levels. Grading on an A-B-C-D-F scale without pluses and minuses hasfive levels. Miguel and Larson 1 recommend using the lowest number of grading levels that allowsan accurate assessment of student learning, and they state that
Qualitative Researchers. Sage, 2015.[17] M. Shahin, C. Gonsalvez, J. Whittle, C. Chen, L. Li and X. Xia, “How Secondary SchoolGirls Perceive Computational Thinking Practices through Collaborative Programming with theMicro:Bit,” Journal of Systems and Software 183, 2022.[18] A. J. Magana and G. S. Coutinho, “Modeling and simulation practices for a computationalthinking-enabled engineering workforce,” Comput Appl Eng Educ 25, pp. 62-78, 2017.[19] G. Ardito, B. Czerkawski and L. Scollins, “Learning Computational Thinking Together:Effects of Gender Differences in Collaborative Middle School Robotics Program,” TechTrends64, pp. 373-387, 2020.[20] M. Zapata-Cáceres, N. Fanchamps, I. H. Yeter, P. Marcelino and E. Martín- Barroso,“Understanding Teachers
Paper ID #42949Enhancing Teamwork Skills in STEM Education: A Behavioral Theory-BasedApproachTazim Ahmed, The University of Texas at Arlington Tazim Ahmed is currently a PhD student in Industrial Engineering at the University of Texas at Arlington. His research primarily focuses on Human Factors Engineering, Cognitive Engineering, and Engineering Education.Syed Mufid, The University of Texas at Arlington Syed Mufid is currently a Master’s student in Industrial Engineering at the University of Texas at Arlington. His research interests encompass Human Factors, Radio Frequency Identification (RFID) and Supply Chain
engineers," Proceedings of the IEEE, vol. 88, no. 8, pp. 1367-1370, 2000.[2] L. Small, K. Shacklock, and T. Marchant, "Employability: a contemporary review for higher education stakeholders," Journal of Vocational Education & Training, vol. 70, no. 1, pp. 148-166, 2018.[3] R. J. Marandi, B. K. Smith, R. F. Burch, and S. C. Vick, "Engineering soft skills vs. engineering entrepreneurial skills," The International Journal of Engineering Education, vol. 35, no. 4, pp. 988-998, 2019.[4] H. Jang, "Identifying 21st century STEM competencies using workplace data," Journal of Science Education and Technology, vol. 25, pp. 284-301, 2016.[5] L. Ballesteros-Sanchez, I. Ortiz-Marcos, and R. Rodriguez-Rivero
mental health and help-seeking by race/ethnicity: Findings from the national healthy minds study, 2013–2021,” Journal of Affective Disorders, vol. 306, pp. 138–147, Jun. 2022, doi: https://doi.org/10.1016/j.jad.2022.03.038. 3. C. Son, S. Hegde, A. Smith, X. Wang, and F. Sasangohar, “Effects of COVID-19 on college students’ mental health in the united states: Interview survey study,” Journal of Medical Internet Research, vol. 22, no. 9, pp. 1–14, Sep. 2020, doi: https://doi.org/10.2196/21279. 4. B. Coley and M. Jennings, “The price of persistence: Investigating the impact of pursuing engineering on undergraduate student mental health,” presented at the IEEE Frontiers in Education Conference, Covington, KY, USA
construction in qualitative research: From grounded theory to abductive analysis,” Sociol. Theory, vol. 30, no. 3, pp. 167–186, 2012.[8] C. Marshall and G. B. Rossman, Designing Qualitative Research, 5th ed. London: Sage Publications, 2012.[9] K. A. Hallgren, “Computing Inter-Rater REliability for Observational Data: An Overview and Tutorial,” Tutor Quant. Methods Psychol., vol. 8, no. 1, pp. 23–34, 2012.[10] H.-F. Hsieh and S. E. Shannon, “Three Approaches to Qualitative Content Analysis,” Qual. Health Res., vol. 15, no. 9, pp. 1277–1288, 2005.[11] K. Krippendorff, Content Analysis: An Introduction to its Methodology, 3rd ed. Thousand Oaks, CA: SAGE Publications Inc., 2013.[12] R. Tesch, Qualitative Research
practices in US classrooms," Teach. Teach. Educ., vol. 99, p. 103273, Mar. 2021, doi: 10.1016/j.tate.2020.103273[3] M. J. Hannafin, J. R. Hill, S. M. Land, and E. Lee, "Student-centered, open learning environments: Research, theory, and practice," Handbook of Research on Educational Communications and Technology, pp. 641-651, May 2013, doi: 10.1007/978-1-4614- 3185-5_51[4] B. L. McCombs and J. S. Whisler, The Learner-Centered Classroom and School: Strategies for Increasing Student Motivation and Achievement. The Jossey-Bass Education Series. San Francisco, CA: Jossey-Bass Inc., 1997.[5] J. N. Agumba¹ and T. Haupt, "Collaboration as a strategy of student-centered learning in construction technology
Paper ID #41332WIP: Assessment of Student Retention and Satisfaction in Computer ScienceService Courses When Using Competency-Based Grading and AssignmentChoiceMr. Robert Harold Lightfoot Jr., Texas A&M University Robert Lightfoot received his master’s degree in software engineering from Southern Methodist University and his bachelor’s degree in computer science from Texas A&M. Before joining Texas A&M, he worked at Ericsson (now Sony-Ericsson), then with DSC (Motorola) deploying Cellular network infrastructure. Now, a Professor of Practice, teaching Computer Science at Texas A&M University.Dr. Tracy Anne
examinedfour cohorts of students for three semesters: (a) fall 2018 sophomore students, (b) fall 2019sophomore students, (c) fall 2018 junior students, and (d) fall 2019 junior students. Thesophomore and junior students’ persistence was tracked over a period of three semesters— thusthe pre-COVID-19 cohorts (i.e., fall 2018 cohorts) did not have their education disrupted overthis time frame (fall 2018 to fall 2019) by COVID-19 while the COVID-19 cohorts (i.e., fall2019 cohorts) did have their education disrupted in spring 2020. Next, due to our large sample,we were able to break down and examine student persistence rate by student demographic groups(i.e., gender, financial need, first generation status, and race/ethnicity).Plan of Analysis We
. More importantly, a consistent scale will better facilitate the calculation and comparison of average mean factor scores when the survey is implemented. 2. Several items can be improved with better rewording: a. Q18 - separate the terms “teamwork” and “collaboration” into individual items. This may help improve the item’s low discrimination index. b. Re-write negatively worded items to be the exact opposite, or antonym, of a positively worded item [83], thereby creating positive/negative item pairs. For example, positively worded item: “Engineering decisions are influenced by the societal context in which they take place”; negatively worded antonym: “Engineering
their support. MethodsAn electronic data mining/learning analytics (EDM/LA) knowledge discovery cycle model (Romero &Ventura, 2020) is applied. EDM/LA is one type of knowledge discovery (KDD) in a databases processmodel. KDD is a process model that applies data mining methods to discover the knowledge pattern behindlarge databases (Fayyad et al., 1996). According to Romero and Ventura (2020), the EDM/LA processmodel typically includes the (a) education environment (e.g., face-to-face classroom education, andinformation system used (e.g., blackboard or gradescope), (b) education data (e.g., school, course, student),(c) processing the data (e.g., remove irrelevant variables, imput missing
discrimination faced byAsian engineering students in postsecondary education. The identified relevantstudies need to be consistent with this research scope. In order to do that, we focus onboth Asian American and Asian international college students within the engineeringdiscipline, reflecting our centered research interest. Considering the scope of ourstudy and the research questions, we established relevant studies in our review asstudies that satisfy the following three conditions: a) the presence of Asian students,b) a focus on college engineering majors, and c) relevance to experiences ofdiscrimination.Selecting Studies We conducted the literature search using a variety of scholarly databases,including Semantic Scholar, Google Scholar, ERIC
. Carroll, C. J. Finelli, and S. L. DesJardins, “Academic success of college students with ADHD: the first year of college,” Network for Engineering & …, 2022.[6] A. Cuellar, B. Webster, S. Solanki, C. Spence, and M. Tsugawa, “Examination of Ableist Educational Systems and Structures that Limit Access to Engineering Education through Narratives,” in 2022 ASEE Annual Conference & Exposition, 2022.[7] M. L. Sánchez-Peña, N. Ramirez, X. (rose) Xu, and D. B. Samuel, “Work in progress: Measuring stigma of mental health conditions and its impact in help-seeking behaviors among engineering students.pdf,” in 2021 ASEE Virtual Conference Content Access, 2021.[8] M. Chrysochoou et al., “Redesigning engineering education for
in flipped classroom methods, the team includes a third-personeducational researcher (Andrea Medina) focusing on high-impact classroom practices. There arethree instructors in the study: Instructor A, Instructor B and Instructor C. Instructor A is the leadinstructional designer and learned FC and active learning from the Transforming STEMTeaching Faculty Learning Program (FLP) hosted virtually by the University of California,Berkley. Instructor A has publications in iterations of the flipped classroom model [20], [21].Instructor C received a grant on diversity-centric learning and project-based learning. InstructorA and C taught years of courses in the flipped classroom modality before the study. Instructor Bhas less training than Instructor
Sciences. The International Journal of Assessment and Evaluation. 24(1). 1-24.Renshaw, T. L., & Bolognino, S. J. (2016). The college student subjective wellbeing questionnaire: A brief, multidimensional measure of undergraduate's covitality. Journal of Happiness Studies, 17(2), 463-484. https://doi.org/10.1007/s10902-014-9606-4Rodríguez-Simmonds, H. E., Pearson, N. S., Jackson, B. P., Langus, T. C., Major, J. C., Kirn, A., & Godwin, A. (2018). Interpersonal interactions that foster inclusion: Building supports for diversity in engineering teams. ASEE Annual Conference and Exposition.Scheidt, M., Godwin, A., Berger, E., Chen, J., Self, B. P., Widmann, J. M., & Gates, A. Q. (2021). Engineering students
theminimum threshold of 0.60 to assess sample adequacy. Bartlett’s test of sphericity wassignificant for all datasets (p < 0.001), indicating a sufficient correlation between variables toproceed with the analyses.We used an exploratory factor analysis (EFA) approach to investigate the underlying structure ofthe measured items [15]. This statistical method is frequently used to optimize instruments byeliminating statistically ambiguous items and grouping variables in latent constructs. Accordingto Brown [17] and Howard [18], the EFA procedure can be divided into: a) choosing a factorextraction method, b) determining the number of factors to extract, c) choosing a factor rotationmethod, d) running the factor analysis, e) interpreting the factors
. Bilec, A. Dukes, A. Nave, A. Landis, and K. Parrish, “Developing and Sustaining Inclusive Engineering Learning Communities and Classrooms.” In 2022 ASEE Annual Conference & Exposition, Minneapolis, MN, 2022.[3] D. T. Rover, M. Mina, A. R. Herron-Martinez, S. L. Rodriguez, M. L. Espino, and B. D. Le, “Improving the Student Experience to Broaden Participation in Electrical, Computer and Software Engineering,” in 2020 IEEE Frontiers in Education Conference (FIE), 2020, pp. 1–7.[4] L. Long and J. A. Mejia, “Conversations about Diversity: Institutional Barriers for Underrepresented Engineering Students,” J. Eng., vol. 105, no. 2, 2016.[5] M. E. Matters, C. B. Zoltowski, A. O. Brightman, and P. M. Buzzanell
Paper ID #41514Use of Theories in Extended Reality Educational Studies: A Systematic LiteratureReviewDr. Kimia Moozeh, Queen’s University Kimia Moozeh is a research associate at Queen’s university in Engineering Education. Her PhD dissertation at University of Toronto explored improving the learning outcomes of undergraduate laboratories. Her research interests are lab-based learning, online learning and metacognition.Dr. Paul Cameron Hungler P.Eng., Dr. Paul Hungler is an assistant professor in the Department of Chemical Engineering and Ingenuity Labs at Queenˆa C™s University. Prior to starting his current position, Major
individuals manifestsin interactions is specifically referred to by Barron [13] as mutuality. High mutuality ischaracterized by each individual in a group realizing and constructing a joint solution spaceequally. Low mutuality is characterized by a dominant constructor of the joint space.Deploying these definitions, knowledge symmetry has potential to mediate the mutualitybetween individuals and be subverted by other socially-negotiated asymmetries in the context ofco-construction. To demonstrate these conclusions, this paper will elaborate A) co-constructionbetween learners, B) co-regulation between learners, C) the role of knowledge-based symmetryon co-construction between learners, then D) the role of knowledge-based symmetry on the co-regulation
between these five aspects. Theevaluators are not aware of our experiment on the impact of different feedback strategies.Feedback Strategies The class consisted of 56 undergraduates, mostly seniors, who worked on15 projects. The professor of the course randomly assigned each project to one of the twograduate student teaching assistants to get feedback on all their checkpoint submissions. Oneteaching assistant (TA-a) is a former lecturer who has taught the course at the university level, andthe other (TA-b) has 4 years of experience as a web developer.The two TAs worked together to provide process-level feedback on the first checkpointassignment, to make sure the proposed project falls into the scope of the course. For the otherfour checkpoints
research questions and theoretical framework, providing a structured foundation for the subsequent analytical phases [11]. b) Identifying one unique individual to organize the completion of the multiple case study report, despite the potential involvement of multiple researchers in the data collection phase of single case studies [11].Lastly, because of the nature of multiple case study research, the analysis process may encounterchallenges due to the substantial volume of data involved. Establishing a systematic approach toorganizing data from the inception of the collection process becomes paramount to navigatingthis challenge effectively [9].To better understand this section, let’s focus on the example presented in Table 3 and