The goal of this paper is to disseminate an enhanced methodology and strategy to college instructors that can be successfully employed in a data-driven, project based course like Pavement Management Systems (PMS). PMS is a course offered in the Department of Civil Engineering at Rowan University's College of Engineering. The objective of the course was to provide a thorough understanding of the pavement management process and demonstrate how concepts of life cycle cost analysis are utilized in the decision making process. The course required students to utilize state of the art approaches that are typically employed by transportation agencies to analyze pavement performance data at the project and network levels. The PMS course was offered as an elective course dedicated to senior-year, undergraduate students as well as graduate students (i.e., Masters and Doctoral students) in Civil Engineering; whose academic interests lie within the field of transportation engineering. Lectures were conducted with the aid of multimedia presentations and students were often asked to form groups of two and participate in classroom assignments. The classroom assignments typically focused on material covered and incorporated authentic PMS scenarios and actual pavement performance data. In the second half of the course, undergraduate students were required to form groups of 3 and develop a data-driven, research, project that compared PMS used in the United States to those used in a developed and developing country. Graduate students were required to form groups of two, and formulate a research project using pavement performance data from the Federal Highway Administration's Long-Term Pavement Performance (LTPP) database. All groups were then asked to present weekly updates of their respective research projects to the class in order to receive feedback from their peers and instructors. Based on the feedback from student evaluations of the class project and overall PMS course, 77% of students agreed that the class project helped them to learn about pavement rehabilitation strategies and performance models and 64% of students agreed with the format of the weekly project presentations. Undergraduate students gave the teaching style and format of the course an overall average score of 3.94 out of 5 while the overall average score for graduate students was 4.64 out of 5.
|Original language||English (US)|
|Journal||ASEE Annual Conference and Exposition, Conference Proceedings|
|State||Published - Jun 22 2020|
|Event||2020 ASEE Virtual Annual Conference, ASEE 2020 - Virtual, Online|
Duration: Jun 22 2020 → Jun 26 2020
All Science Journal Classification (ASJC) codes