,” Applied Thermal Engineering, vol. 112, pp. 841–854, Feb. 2017, doi: 10.1016/j.applthermaleng.2016.10.134.[4] B. A. Al-Sheeb, A. M. Hamouda, and G. M. Abdella, “Modeling of student academic achievement in engineering education using cognitive and non-cognitive factors,” JARHE, vol. 11, no. 2, pp. 178–198, Apr. 2019, doi: 10.1108/JARHE-10-2017-0120.[5] M. Khan, M. Ibrahim, and N. Wu, “Measuring Self-Efficacy in Engineering Courses – Impact of Learning Style Preferences,” in 2019 ASEE Annual Conference & Exposition Proceedings, Tampa, Florida: ASEE Conferences, Jun. 2019, p. 33092. doi: 10.18260/1-2-- 33092.[6] M. Khan and M. Ibrahim, “Women in Engineering – Focus on Self-Efficacy in Modeling and Design through
] E. Fast and E. Horvitz, "Long-Term Trends in the Public Perception of Articial Intelligence," AAAI, vol. 31, no. 1, 2017.[2] M. Borrego, "Conceptual difficulties experienced by trained engineers learning educational research methods," Journal of Engineering Education, vol. 96, no. 2, pp. 91-102, 2007.[3] 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," Journal of Engineering Education, vol. 105, no. 2, pp. 366-395, 4 2016.[4] R. M. Marra and B. Bogue, "Women Engineering Students' Self Efficacy-A Longitudinal Multi- Institution Study," 2006.[5] J. S. Weedon, "Judging for Themselves: How Students Practice Engineering
teams,undergraduate research, and service-learning organizations. The first phase of this study,reported in this paper, involves the implementation of an electronic survey to measure the impactof engineering-focused extra-/co-curricular activities on students’ academic achievement andself-efficacy. Academic achievement is measured using questions from the Statics ConceptInventory [1], and self-efficacy is measured using a series of questions from self-efficacy surveyitems [2] that ask students to rate on a six-point Likert scale their capability in (a) specificengineering skills such as working with machine and engineering design, and (b) generalengineering coursework. Based on the results from the survey administered to junior and
surveys to measure increase in self-efficacy. Additionally, anonymized project gradesand final grades from previous semesters will be compared to Fall 2024 grades to explore anychanges in student competency. Findings/Conclusions: Preliminary results indicate that, ingeneral, student self-efficacy increased after completing the project, but additions to the surveyand/or other data collection need to be included in future semesters to help quantify the effects ofSDL in the project. Implications: It is possible that the small addition of story-telling elementsinto the already established end-of-the-semester project may positively correlate with an increasein student self-efficacy and competency in system dynamics. If so, this may be a useful
9 Senior / 4th 28 19 9 0 7 Total 256 199 (78%) 54 (21%) 3 (1%) 32 (12%)Survey items (Appendix A) considered participant demographics, questions regarding identity asa maker and self-efficacy for conceptual design and prototyping, and questions regardinginteractions with both the makerspace teaching assistants (TAs) and other student users in themakerspace. Survey items came from a previously validated measure [26,27] with items relatedto self-efficacy in conceptual design and prototyping (i.e., “tinkering”) with terminology relatingto space identification [31]; The survey also included questions regarding participant
confidence whenapplying the course concepts in the experimental analysis and outcome part of the activity andlower confidence in accounting for uncertainties and troubleshooting. Ford and coworkersreported similar confidence level trends in these self-efficacy items in a materials laboratorycourse. [16]Figure 7: Student mean scores for self-efficacy questions in the exit survey.Conclusion and Future WorkSeveral hands-on MP activities were implemented along with regular HW assignments toenhance student learning in an undergraduate Dynamics course. The effectiveness of these MPactivities was measured through comparative analysis of course grade data with a baselinesection and entry and exit surveys administered in the MP section. The study results
wereadapted from the Motivated Strategies for Learning Questionnaire (MSLQ) [37, 38], to measureattitudes associated with learning. In this survey, the learner is asked to rate statements on a 7-point Likert scale (1 - “not at all true of me” to 7 - “very true of me”). The students rated their at-titudes toward intrinsic goal orientation, which is associated with a student’s perception that theyshould participate in the learning task because it is challenging, arouses their curiosity, and forcomplete understanding of the material. Further, the students rated their motivation to reengagewith the material and their fear of making mistakes. Finally, the survey also asked the students torate several self-efficacy constructs, where they are asked to judge
his bachelor’s and master’s degrees from the University of Texas R´ıo Grande Valley, formerly University of Texas Rio Grande Valley. He also holds a doctorate degree in School Improvement from Texas State University. ©American Society for Engineering Education, 2023 Keeping Calm and Staying Balanced: Exploring the Academic Pressures Faced by Engineering Students to Attain High Grades and their Impact on Mental HealthStudies reveal that grades have a short-term impact on students’ self-efficacy, motivation, anddecision making. Earning high grades has become a focal point for engineering students to securethree types of opportunities: internships, post-graduation employment
– 82, 2006, doi: 10.1177/1525822X05279903.[27] V. Braun and V. Clarke, “Using thematic analysis in psychology,” 2006.[28] J. Saldaña, The Coding Manual for Qualitative Researchers, Second. SAGE, 2013. [Online]. Available: www.sagepublications.com[29] N. K. Denzin, “Triangulation 2.0*,” J Mix Methods Res, vol. 6, no. 2, pp. 80–88, Apr. 2012, doi: 10.1177/1558689812437186.[30] B. Choi, “I’m Afraid of not succeeding in learning: introducing an instrument to measure higher education students’ fear of failure in learning,” Studies in Higher Education, vol. 46, no. 11, pp. 2107–2121, Nov. 2021, doi: 10.1080/03075079.2020.1712691.[31] L. E. Margulieux et al., “Self-Regulation, Self-Efficacy, and Fear of Failure Interactions with
and diversity,equity, and inclusion (DEI). The authors described how these subcategories would need to becategorized properly in future revisions, but the idea is they heavily dictated a student’sconfidence and sense of belonging.Summarizing this listing, we concluded with a motivational category list of interventionsubcategories as follows: task-value interventions (e.g., utility-value, communal value), framinginterventions (e.g., self-efficacy, belonging), personal value interventions (e.g., valueaffirmations), mitigating stereotype threat, and changing attributions, as shown in Table 1.Donker et al (2014) conducted a meta-analysis on teaching strategies that help studentmetacognition and self-regulation to find which specific tactics
. Otherengineering educators have presented projects of similar complexity, including a fast-returnactuator [8], compressed air engine [9], and ceiling hoist [10]. These projects are typicallyimplemented in standalone lab settings [7] or embedded within junior year machine designcourses [3, 10] and students work in groups to manufacture their prototype from a common,instructor-specified design. Implementation of machining projects has been linked to improvedcourse evaluations [3, 11] and enhanced understanding of theory-based course material [10];however, prior studies do not present evidence of improvement in students’ self-efficacy withregards to specific machining skills nor do these prior studies adequately demonstrate thetransferability of machining
around the test 3. After gaining IRBapproval, students could choose to complete the survey for 1-point of extra credit. If students didnot want to complete the survey, they could choose an alternative assignment that is equivalent tothe same amount of time and effort. In doing so, we were able to include responses of those whochose to respond to the survey (Table 1). Questions regarding perceptions of multiple attemptswere created by the professor on a scale from 1-5 (strongly disagree to strongly agree) to furtherdevelop best practices and identify the perceived efficacy of MAT in a course providing PBH(Table 1). Self-reported motivation was investigated through the lens of self-efficacy, or the beliefthat a student is able to accomplish the
methods are increasingly being discussed [1] - [3]. Some concernswith grades include being an ineffective way to provide constructive feedback and demotivatingstudents [4]. Alternative grading strategies, including specifications grading, are gainingpopularity in higher education. Benefits of alternative grading methods include reduced studenttext anxiety [5], increased student self-efficacy [6], [7], similar or higher learning outputs [8],and higher grades in a subsequent course [9]. Many examples of alternative grading methods inengineering courses have recently been reported [10] - [15].In specifications grading, student work is scored pass/fail according to whether the assignmentsubmission meets the provided requirements, and the final grade
. Cady (Eds.) Applying Research to Practice (ARP) Resources. 2009, Accessed 2/15/2019 fromhttp://www.engr.psu.edu/AWE/ARPresources.aspx[2] Torres, J. B. and Solberg, V. S., "Role of Self-Efficacy, Stress, Social Integration, and FamilySupport in Latino College Student Persistence and Health," Journal of Vocational Behavior 59,2001, 53-63.[3] Dinther, M. V., F. Dochy, and Segers, M., “Factors affecting students’ self-efficacy in highereducation,” Educational Research review, 6, 2011, 95-108.[4] National Science Foundation, “Shaping the Future: New Expectations for UndergraduateEducation in Science, Mathematics, Engineering and Technology,” National ScienceFoundation, Directorate for Education and Human Resources: Arlington, VA, 1996.[5] Xiongyi
interaction with rigid bodies will deepen their comprehension of equilibrium and force balance.4. Application of Theoretical Concepts: Through interactive gameplay, students will apply theoretical knowledge to practical scenarios, advancing from basic force applications to complex systems like frames and trusses, where internal force representation is required.5. Increased Self-Efficacy: The immersive VR experience is designed to boost students' confidence in their ability to understand and apply statics concepts. Pre- and post-assessments will measure their improved ability to resolve forces in 3D space, highlighting increased mastery of the subject matter. V. Research Questions:Our main research question is: How does How does the
in both grading schemes and students perceptions on how specifications gradingaffected their learning, anxiety, and self efficacy, as collected in midterm and end of term surveys.In general, students reported feeling that the specifications grading scheme helped them learn andgave them confidence to earn their desired grade, although some students reported that thespecifications grading scheme was more stressful than traditional points-based grading. Finally,we discuss the advantages and challenges, from the instructor’s observations and perspective,associated with transitioning from a traditional points-based grading scheme to usingspecifications grading.IntroductionDifferent instructors have different perspectives on the purpose and
was one of few studies to examine whether astructures themed PBL exercise boosts student performance on textbook statics problems. Priorstudies [1, 2, 5] have focused mainly on students’ analytical and design self-efficacy. Our studyadds to prior research by connecting the PBL experience to improved understanding of specificstatics concepts like two-force members, action-reaction pairs, and internal loads.There are several strengths and some limitations to our study. First, we used a robust, mixed-methods approach that allowed us to measure qualitative and quantitative changes in students’structural analysis skills. One limitation of the study is that we did not determine causality; inother words, we cannot definitively claim that the PBL
socialunrest, as well as fires, hurricanes, floods, and other emergencies [1] may also cause disruptions.Such disruptions, on the student side, may lead to, among other things, feelings of isolation,anxiety, and stress [2]; reduced motivation, self-efficacy, and achievement [3]; and retentionissues [4]. The use of a learning management system (LMS) has been shown to mitigatechallenges associated with disruptions, prompting researchers to better understand the degree towhich LMS features are used and how they can be used more effectively. This study wasconducted to discover how instructors utilized a LMS before, during, and after a disruption.Findings from this study can be used by policy makers and educators to plan how best to useLMS features given