This design case study delves into freshman engineering students’ utilization of generative technologies in a software engineering course to learn C programming. The design case is a description of a real artifact or experience that has been intentionally designed. In my course, I introduced ChatGPT as a self-regulated learning tool and tasked students with understanding… Read more »
Six years ago we started to build a college wide automated direct measures outcomes assessment process. Each program identified which junior and senior courses would be responsible for measuring each outcome. Care was taken to limit the number of outcomes assessed by each course. Instructors were required to upload a pdf of the metric they… Read more »
A sound evaluation process is critical to produce findings and recommendations for the improvement of student learning. Evaluation is where all the assessment processes come together for review and recommendations for improvements. This session will demonstrate the elements of an effective evaluation process that involves faculty and leads to the improvement of student learning, assessment… Read more »
This presentation details our institution’s experiences assessing engineering students’ writing skills to achieve ABET Student Learning Outcome 3. Historically, the engineering department faced several challenges in improving student writing, including constraints on time, resources and personnel. Additionally, students often relied on unethical methods of researching and writing their assignments, including unauthorized AI usage. To resolve… Read more »
In this session, participants will receive an update on the future directions of the Computing Accreditation Commission (CAC). Beginning with bachelor-level programs in computer science, over the years, the commission expanded to information systems, cyber security, information technology, and data science. In recent years, the CAC has added associate-level programs in Cyber Security. CAC is… Read more »
Generative AI holds the promise of helping students bridge learning gaps through autonomous learning. Students can personalize their learning experience through AI-driven real-time content creation and guided problem solving. Instant feedback on complex topics deepens comprehension and empowers learners, especially in challenging subject areas. Practical examples will demonstrate how AI can assist in crafting personalized… Read more »
The presentation explicates the unique strategies utilized and lessons learned in the attainment of ABET Criterion 4, Continuous Improvement (CI) process in the Engineering Technology (ET) department’s ETAC of ABET accredited programs by involving the constituents. Department faculty, led by the author, successfully implemented a 3-year schedule of assessment and evaluation of Student Outcomes (SO).… Read more »
ABET has been visiting programs available entirely online for several years. The criteria remain the same whether the program delivery is online or in-person or mixed; however visits to these programs have some unique characteristics. Currently, at least 40 institutions have more than 60 programs available fully online with ABET accreditation representing all four commissions.… Read more »
Engineering and engineering technology education stand at the precipice of a profound transformation driven by the integration of Generative Artificial Intelligence (Generative AI). The session aims to provide an overview of a study that explores the transformative future of Generative AI that has the potential to revolutionize the way students learn and prepare for careers… Read more »
Executive committee members from each commission will discuss the various elements of Self-Study Reports (SSRs), important content areas, and frequently asked questions about the preparation and review processes for the SSRs. The discussion will also include recommendations for the SSR format and content from the lens of the reviewer.
