, and the assignment learning outcomes. WATTS research was funded by a National Science Foundation (NSF) Improving UndergraduateSTEM Education (IUSE) collaborative grant (award #s 2013467, 2013496, & 2013541). The results ofthis research demonstrated statistically significant improvements in student technical writing [1]. Theseimprovements can be attributed to the WATTS-trained tutors who provide appropriate feedback to thestudents during their tutoring sessions. This team’s research has explored changes between pre-tutoring and post-tutoring assignments anddemonstrates that, while the writing improves, it is still a challenge to engage students in revising theirwork. During the WATTS research project, students took writing assignment
specific goalsrelated to increasing diversity and inclusion in enrollment and degree attainment. The pledgecommits the signatory programs to engage in four activities to promote diversity in enrollment,retention, and graduation rates which will lead to increased diversity in the workforce andengineering faculty. Applicants must be members of the ASEE Engineering Deans Council(EDC) or the Engineering Technology Council (ETC). The program is projected to have threelevels of recognition: Bronze, Silver and Gold. Currently applicants can apply for bronze status,reaffirmation of bronze status, direct to silver status or silver status (for current bronzeinstitutions).Literature ReviewSelection and persistence of STEM majors has been attributed to four
forward the ABET Coordination Team is developing a process to export student outcomeresults from Canvas and import them into a web-based database and reporting interface. The initialplan was to import Canvas assessments into SearchLight. But since this tool is no longer supportedby the University, the team is exploring other options such as PowerBI and Tableau.Figure 9 in the appendix presents the pilot PowerBI dashboard summarizing Canvas student out-come results. The goal of this pilot project is to incorporate and improve upon some of the re-porting features found in SearchLight and to compile data from various sources into one database.Though there is increased flexibility by building out the reporting infrastructure, it requires moreskills
undergraduate-level deterministic modeling course that covers linear and integerprogramming, students apply modeling and optimization approaches to address challenges relatedto network flows, project management, transportation, and assignment problems. They alsoacquire proficiency in various solution strategies, including the simplex method and the branch-and-bound approach. Duality and sensitivity analysis are comprehensively covered, as well as theireconomic interpretations. Both Industrial Engineering and Mechanical Engineering students shareaccess to identical learning modules, completing the same assignments and exams. The objectiveof this study is to compare the performance of these two student cohorts and assess their abilitiesin three crucial
required for developing students’ essential skills [2].Although students who used ChatGPT in project-based, reflective, critical thinking, and research-related writing assessments have faced some challenges and shortcomings, they managed to getsatisfactory results with proper training and input. Therefore, the success rate relies on the level ofstudents’ understanding of ChatGPT usage and expected output. However, there is always a riskassociated with mastering this technique that can alter the balance of risk and reward for students[3].Methodology:This case study involved the introduction of a new module regarding Artificial Intelligence inengineering classrooms by looking at the use of generative and non-generative AI in anengineering technical
collaborated in. In a between-groupdesign, each participating small-group was randomly assigned to one of the three IV levels tocollaborate on ZOOM while (1) using their webcams and microphones (videoconferencing), (2)collaborate with deactivated webcams via microphone only (audioconferencing), or (3) usingonly synchronous text-chat while webcams and microphones remain deactivated.Students of Hochschule Bonn-Rhein-Sieg, University of Applied Sciences (H-BRS), Germanywere invited via e-mail distribution list to participate in an online research project with a durationof approximately 45 minutes during which a fictitious criminal case was to be solved by a small-group of three students. The participants were allowed to form groups on their own or show
0.90, ranging from 0.77 to 0.90 in its dimensions. The students' academic performance was evaluated based on the academic performancecoefficient adopted by the researched HEI, which uses the weighted average of the final gradesof all subjects taken in the first series. This coefficient weights the workload and the grades ofthe tests and assignments of the subjects.Data Collection Procedure The research occurred after the project was approved by the Research Ethics Committee(REC), number 1.607.007. The inclusion criteria were: entering students, present at the time ofdata collection, with a minimum age of 17 years, and who consented to participate by signingthe Free and Informed Consent Form. The application was collective, in a
the program names contribute to some of these challenges,leading to questions about whether rebranding to a different name might be beneficial. Otherstudies have explored renaming motivations and results in geography [13], agronomy [14],writing programs [15], vocational education [16], and institutions [17], [18]. There is a generalconsensus that names are powerful, and changes often reveal tensions with the health and/oridentity of programs. Frazier et al. [13, p. 13] notes: “Do name changes reflect an expandedmission… or other goals such as addressing low enrollment, shifting student interests, or thedesire to project a fresh identity or realign with a new academic emphasis?” There may also beconcern about name recognition or conveying the