Improving Teaching and Learning
Elements of Computing Concentrations
The Computer Science department provides CS classes to the whole university via our Computer Science "Elements" program. The Elements sequence can be started by any student in any major with no prerequisites; later Elements courses only have prerequisites from earlier Elements courses. Some students choose to take just 1 or 2 CS classes in order to learn some programming, and others choose to take 18 hours in order to earn the Elements of Computing Certificate. The CS Elements program serves a very diverse population of students, in terms of backgrounds, majors, and goals.
Improved Student Evaluations of Teaching
Student evaluations of teaching (SETs) are one of the official means to gauge the performance and effectiveness of an instructor at higher-education institutions. They are often used for promotion/tenure decisions as well as to guide faculty into becoming effective instructors. But the question is whether, as currently implemented at UT Austin, SETs are reliable indicators of (a) effective teaching, and (b) long-lasting, impactful learning?
Early Exposure to Data Skills in Introductory Biology Sequence
Biology continues to be seen as a field for science-interested, but math-disinterested students. However, due to the surge in data use in all biology careers, and the focus in research on sequence data, there is a strong need for data skill development in biology degree programs. Math anxiety poses a specific challenge for biology education. A suggestion to overcome this, is an early introduction to data skills in the two-course sequence of Introductory Biology.
Offering Real-World Opportunities for Students Enrolled in Statistics and Data Science Undergraduate Research
The primary goal of this community-based service project is to provide experiential learning opportunities for undergraduates interested in statistics and data sciences while supporting the broader Austin-area community. Coordinating with local organizations, students enrolled in some of our SDS courses are gaining hands-on experience in data analysis while exploring authentic contexts. This innovative and collaborative effort provides a community-based model that allows students and local organizations to co-develop and answer real-world research questions.
Teaching Engineering through Murder Mysteries and Personalized AI Tutor
CE 357: Introduction to Geotechnical Engineering is a third year required undergraduate course that has traditionally been a challenging course for students due to its abstract nature. The average course rating for CE 357 is 3.8 in the last twenty years. I have successfully transformed the lecture modules to achieve a significant increase in interest and students’ performance in the course. Although preliminary work looks promising, I want to scientifically evaluate the effectiveness of the course and publish the findings.
Strengthening the Sustainability Studies Degree
Sustainability Studies graduated its first sizeable cohort in 2022, and the program has yet to undergo a comprehensive review. Conversations with students revealed their desire for better access to the professional field of sustainability across the sectors of non-profit, government, and business. This is an area that the current structure of the degree does not adequately address. To address these concerns, I am proposing a three-pronged approach. My first initiative is to build a database of internships across the three sectors mentioned above.
Longhorn Mindfulness Project
This project focuses on mental health on campus. Specifically, the mental health and self-regulation challenges that mindfulness practices have been empirically shown to address: anxiety, depression, focus, and procrastination. There is strong empirical support for these benefits emerging around the 8-week mark of regular practice (10-15 minutes per day), which is feasible in the confines of the semester calendar.
Imagery for Critical Thinking: A Pedagogical Approach for Engineering and Science Students
Most science and engineering courses are founded on abstract mathematical and/or analytical theories/concepts. Though the abstract concepts are essential to describe underlying scientific and engineering principles, the teaching pedagogy largely misses out on the utilization of imagery. We expect our students to master the subject we teach, but rarely do we provide them with the necessary tools to synthesize their acquired knowledge. Innovation gets stifled in the maze of abstract theories.
Developing Experiential Learning in Organizations
My project, “Developing Experiential Experiences in Organizations,” assessed HDO students’ access to experiential learning
in organizations, particularly in the form of internships; additionally, our program aimed to provide more built-in
opportunities HDO students to engage in experiential learning. To gauge need, I surveyed HDO students. Results
demonstrated that many of our students were graduating without any organizational experience, especially first-generation
Peer Mentor Leadership Project
The Peer Mentor Leadership Project (PMLP) empowers undergraduate students to explore and develop their leadership styles. Participants design and implement mentoring and leadership projects that align with their goals and values, while assessing the impact of their work. The program emphasizes introspection, reflection, and professional growth, helping students strengthen their resumes and leadership skills.
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