Improving Teaching and Learning

(Project completed 2021) Since its inception at UT in 2006, the Difficult Dialogues (DD) program has worked with over 40 faculty in 8 colleges or schools to develop Difficult Dialogue signature courses, i.e., introductory UGS courses that promote respectful and productive dialogue about difficult and controversial social issues, including race and ethnicity, gender and sexuality, religion, human rights, immigration, evolution, climate change and sustainability, and illness and mortality.

The University of Texas at Austin’s Civil, Architectural and Environmental Engineering (CAEE) department has taken several steps towards improving the preparation of Architectural Engineering students with respect to modern engineering tools, including the computing tools commonly used in engineering practice.

(Project completed 2021) In my lectures, I rely on supplementary videos to break up the pace of the lecture and introduce new concepts. However, when I search for videos online, I have trouble finding a diverse representation. As a result, I end up with an oversampling of white male scholars in my course.

(Project completed 2021) Reading in community broadens our understanding of how we belong and how we connect to one another. I propose to develop and execute a community-wide collective reading program including related events programming around one book that addresses topics related to diversity, equity, and inclusion issues featuring a topic around the design, use, and implementation of data-driven technologies at UT’s iSchool. Typical diversity and inclusion initiatives in iSchools focus on curriculum development.

Educational research has provided compelling evidence that science students learn most effectively when they are engaged in Experiential Learning, broadly defined as hands-on learning where students are doing meaningful work in their discipline under the guidance of experts. Ideally, students would be exposed to Experiential Learning at multiple stages. While programs have been successful in providing experiential approaches to underclassmen, no large-scale effort exists for upper division students at UT Austin.

Success in a doctoral program can be captured by students’ adjustment to the academic community and their achievement. In recent years, growing concerns have been raised by media, policy makers, and academics about reported mental health issues amongst PhD students. Research suggests that the mental health of PhD students can be improved when there are available supports related to management of work-life balance, workload, decision-making, and leadership styles that lead to satisfactory and constructive work relations (Levecque et al., 2017).

We teach in challenging times. As the world, and our campuses, become more connected our students grapple with the impact of challenging events both on and off campus. Faculty have asked for support and guidance for how to proceed within the framework of semesters and syllabi in order to cope or respond. Our faculty needs resources to help recognize critical moments and support for our pedagogical resiliency.

The goal of this project is to train the next generation of environmental engineers in computing and statistical techniques to solve big data problems. Current undergraduate students in the Department of Civil, Architectural and Environmental Engineering have little to no exposure to computational and statistical methods for data analysis (e.g., big data collected from sensor networks). I proposed to integrate computational techniques in several courses throughout the Environmental Engineering Degree.

Cross-cultural connections can deepen student engagement in the world around them and encourage their creativity about the course material.  Such connections can happen in a UT classroom if the student body is particularly diverse, or if students participate in study abroad programs. Global connections are also being created through the Global Classrooms Initiative that connect UT students with students at universities from other countries through classroom activities, conversations and projects intentionally designed to encourage collaboration.

Marketing is inherently an applied science and, as a result, students learn the most when they can see marketing theories, constructs, and models in action. Marketing is at the intersection of so many academic disciplines—economics, statistics, psychology, sociology, organizational theory and decision science; and to see the way in which each of these disciplines influences marketing decisions requires the real-world dynamics of marketing-decision-making in a dynamic real-world context.