Note: When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher.
Some full text articles may not yet be available without a charge during the embargo (administrative interval).
What is a DOI Number?
Some links on this page may take you to non-federal websites. Their policies may differ from this site.
Report on Engineering Design Self-Efficacy and Demographics of Makerspace Participants Across Three UniversitiesAbstract University makerspaces have been touted as a possible avenue for improving student learning, engagement, retention, and creativity. As their popularity has increased worldwide, so has the amount of research investigating their establishment, management, and uses. There have, however, been very few studies that use empirical data to evaluate how these spaces are impacting the people using them. This study of three university makerspaces measures engineering design (ED) self-efficacy and how it is correlated with involvement in the makerspaces, along with student demographics. The three university makerspaces include a relatively new makerspace at a Hispanic-serving university in the southwestern US, makerspaces at an eastern liberal arts university with an engineering program that has been created within the last decade, and a makerspace at a large, research university in the southeast often considered to be one of the top programs in the US. Students at all three universities are surveyed to determine their involvement in their university's makerspace and how they perceive their own abilities in engineering design. The findings presented in this paper show a positive correlation between engineering design self-efficacy (EDSE) and involvement in academic makerspaces. Correlations are also seen between certain demographic factors and the percentage of studentsmore »
Introductory engineering courses within large universities often have annual enrollments exceeding several hundreds of students, while online classes have even larger enrollments. It is challenging to achieve differentiated instruction in classrooms with class sizes and student diversity of such great magnitude. In such classes, professors assess whether students have mastered a concept through multiple-choice questions, marking answers as right or wrong with little feedback, or using online text-only systems. However, in these scenarios the feedback is of a mostly binary nature (right or wrong) with limited constructive feedback to scaffold learning. A growing concern among engineering educators is that students are losing both the critical skill of sketched diagrams and the ability to take a real system and reduce it to an accurate but simpliﬁed free-body diagram (FBD). A sketch-recognition based tutoring system, called Mechanix, allows students to hand-draw solutions just as they would with pencil and paper, while also providing iterative real-time personalized feedback. Sketch recognition algorithms use artiﬁcial intelligence to identify the shapes, their relationships, and other features of the sketched student drawing. Other AI algorithms then determine if and why a student’s work is incorrect, enabling the tutoring system to return immediate and iterative personalized feedback facilitatingmore »
Investigating Why Students Choose to Become Involved in a University Makerspace through a Mixed-methods StudyMakerspaces have observed and speculated benefits for the students who frequent them. For example, previous studies have found that students who are involved in their campus’s makerspace tend to be more confident and less anxious when conducting engineering design tasks while gaining hands-on experience with machinery not obtained in their coursework. Recognizing the potential benefits of academic makerspaces, we aimed to capture what influences students to become involved in these spaces through a mixed-method study. A quantitative longitudinal study of students in a mechanical engineering program collected data on design self-efficacy, makerspace involvement, and user demographics through surveys conducted on freshmen, sophomores, and seniors. In this paper, the student responses from three semesters of freshmen level design classes are evaluated for involvement and self-efficacy based on whether or not a 3D modeling project requires the use of makerspace equipment. The study finds that students required to use the makerspace for the project were significantly more likely to become involved in the makerspace. These results inspired us to integrate a qualitative approach to examine how student involvement and exposure to the space are related. Using an in-depth phenomenologically based interviewing method, purposive sampling, and snowball sampling, six females, who have allmore »