. Student-focused direct measures include students’ self-efficacy and self-regulatoryfactors for writing, collected through the Metacognitive Strategy Knowledge Test (MSKT).[17]This inventory is designed to measure strategies mapped to the three stages of writing(before/planning, during/writing, and after/reflecting) predicted by Metacognitive WritingKnowledge framework,[18], [19] which provides natural subscales. To measure self-efficacy andself-regulation, the Writing Self-Regulatory Efficacy Scale (WSRES) [20] has been adopted andadministered to participating students in the Writing SySTEM. The adoption process will involveminor rewording to items to make them more realistic for a graduate engineering student.Instruments will be given prior to
State UniversityEmma Elizabeth RoblesAddym Paul Jackson, Sam Houston State UniversityFrancis Coker, Sam Houston State University ©American Society for Engineering Education, 2025 Design of a Micro Class Airplane for SAE 2024 Competition: Fostering Engineering Self-Efficacy and Collaboration in Capstone EducationAli Dinc, Emma Robles, Addym Jackson, Joice Hill, Francis Coker, Syed Hasib Akhter Faruqui and Iftekhar Ibne Basith Engineering Technology, Sam Houston State University, Huntsville, TXAbstract This paper presents a multidisciplinary capstone project centered on the 2024 SAE Aero DesignMicro-Class competition, emphasizing both technical achievement and
cognitive load, freeing up mentalresources for other tasks and fostering more efficient cognitive processing (Thalmann,Souza, & Oberauer, 2019).BackgroundCourse StructureIn this study, we implemented a structured approach to assess student engagement andlearning outcomes in technical content. Beginning with an initial evaluation of student self-efficacy and interest through surveys, we then administered a pre-course quiz to gaugebaseline understanding. Following this, students engaged with the technical material, afterwhich a mid-course quiz was conducted to evaluate learning progress. Finally, we reassessedstudent self-efficacy and interest after completion of all technical quizzes. This methodologyprovided valuable insights into the
Sample Item for Applicants Recruiters Self-Efficacy A student’s perception I am confident at I can effectively develop of their competence presenting myself a recruiting timeline. participating in the through a resume. recruitment process Expectancy A student’s expectation Based on my statement Based on my abilities to for Success that they can achieve of interest, I am likely screen applicants, I am their goal in the to move forward to the likely to find good recruitment process. next recruitment stage
framework & the 3C’s Assignments Curiosity quiz, discussion, Weeks 2-3 of AU semester and MS Teams posts + Direct Assessments listed below Self-assessment Survey on self-efficacy on 14 Beginning of AU semester, EM learning objectives end of AU semester, end of SP semester Meetings with teams Framing the discussion in From week 5 of AU semester terms of EM and the 3C’s until the end of SP semester when relevant Direct
only rise in interestamong the students to learn more about the aviation industry but also the possibility ofsustainably implementing the curriculum utilizing existing equipment [8]. In addition, exposingthe students to aviation-themed learning activities has shown to help with determining themotivation and self-efficacy levels of the students toward STEM-based curriculum [9]. Inaddition, since UAS technologies are uniquely positioned to help with variety of workforceneeds, exposing students to UAS curriculum has shown to better prepare students towards STEMcareers [10].Utilization of simulators has been noted to be one of the methods of enhancing learningexperiences for the students and overall safety during training [11]. As it has also been
engineering courses, and the applicability of course content to real-worldchallenges. However, students did not report substantial gains in learning outcomes specificallyrelated to data science. Encouragingly, students also reported increased self-efficacy, includinggreater enthusiasm for engineering and a stronger willingness to seek academic support frompeers and instructors.RQ2: To what extent did students find the learning activities helpful to their learning?All respondents (100%) indicated that the laboratory experiments provided either “much” or“great” help to their learning. Feedback on their work was also rated highly, with two-thirds ofstudents ranking it as a major contributor to their understanding. Among all instructionalmethods
, D., & Layton, R. A.(2008). Persistence, engagement, and migration in engineering programs. Journal of EngineeringEducation, (December), 260–278. https://doi.org/10.1002/j.2168-9830.2008.tb00978[5] Sun, J. C. Y., & Rueda, R. (2012). Situational interest, computer self-efficacy and self-regulation: Their impact on student engagement in distance education. British Journal ofEducational Technology, 43(2), 191–204. https://doi.org/10.1111/j.1467-8535.2010.01157.x[6] Guthrie, J. T., Wigfield, A., Barbosa, P., Perencevich, K. C., Taboada, A., Davis, M. H., &Tonks, S. (2004). Increasing reading comprehension and engagement through concept-orientedreading instruction. Journal of Educational Psychology, 96(3), 403–423.https://doi.org
. Current and past implementations of the course indicate thatstudents gain the most from the course when they engage in both the MOOC and the hands-onbuild and launch section, but still gain a great deal of understanding and self-efficacy from theonline course alone. When taking part in the hands-on portion, students become more curiousand ask insightful questions they had not thought of during the earlier sections, indicatingqualitatively an increase in student interest in further pursuing rocketry. These results arecurrently being studied more quantitatively in implementation of the course at the universitylevel.The instructional design is structured as first learning the theoretical concepts via video lessons,and then applying the hands-on kits