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Teaching Overview
Teaching Overview
Teaching forms the cornerstone of my academic identity. My teaching experience started before my doctoral training when I worked with my aunt, an esteemed educator, to teach middle school mathematics. From then and throughout my academic career, I have accumulated a wealth of experience and accomplishments in academic teaching. Over five years as a teaching assistant, I have supported nine courses at both undergraduate and graduate levels at the University of Maryland. I have also contributed as a course designer, helping to develop two graduate-level courses in project management and collaborating with faculty on the design and release of MOOCs on the edX platform. In addition, I am teaching two courses: (1) Advanced Statistical Analytics and (2) Introduction to Data Science.
One significant milestone was when I received the “Outstanding Teaching Assistant” award from the University of Maryland for the 2018-2019 academic year, representing the top2% of teaching assistants. In addition, one of my supported program published on Edx “Agile Project Management” was selected as “edX top 100 program.” I also received “Online Instructor Certification” granted by University of South Florida at 2024.
With my extensive experience in teaching, I have led two publications that explore students' satisfaction with MOOCs and the application of ChatGPT in education. One of my key works, published in Computers & Education, was conducted in collaboration with the University of Maryland's online teaching program and Class Central, reflecting my exprience in exploring innovative approaches in education.
Course Instructor
Course Instructor
2024 – Now: School of Information, University of South Florida, Tampa
Spring 2025 LIS4280 – Introduction to Data Science
Spring 2025 LIS4273 – Advances in Statistics and Analytics
Fall 2024 LIS4273 – Advances in Statistics and Analytics
Course Designer
Course Designer
2022: Department of Civil & Environmental Engineering, University of Maryland, College Park; Designed and developed instructor dashboards using Power BI for MOOCs published by the Project Management Program on edX; Edited course materials (course outline, slides, references, summary) for MOOCs on edX published by the Project Management Program
UMD – Project Delivery Methods and Contract in Construction Management
UMD – The Industry and Profession in Construction Management
UMD – Product Management in Government
UMD – Data Science and Agile Systems Engineering
2017 – 2020: Department of Civil & Environmental Engineering, University of Maryland, College Park; Drafted quiz questions for the MOOC program – “Agile Project Management”
2017 – 2020: Department of Civil & Environmental Engineering, University of Maryland, College Park; Drafted quiz Designed course survey questions, compiled and analyzed course evaluations; Created lecture slides, drafted quizzes and assignments, and designed Canvas pages for:
Teaching Assistant
Teaching Assistant
2016 – 2021: Department of Civil & Environmental Engineering, University of Maryland, College Park
Spring 2021 ENCE627 – Project Risk Management
Fall 2020 ENCE603 – Data Analytics for Project Manager
Fall 2019 ENCE665 – Management of Project Teams
Fall 2019 ENCE662 – Fundamentals of Project Management
Spring 2019 ENCE320 – Introduction to Project Management
Spring 2019 ENCE607 – Mastering Agile Project Management
Spring 2019 ENCE662 – Fundamentals of Project Management
Fall 2018 ENCE662 – Fundamentals of Project Management
Spring 2018 ENCE604 – Sustainability Fundamentals for Project Management
Spring 2018 ENCE662 – Fundamentals of Project Management
Fall 2017 ENCE320 – Introduction to Project Management
Fall 2017 ENCE662 – Fundamentals of Project Management
Spring 2017 ENCE624 – Manage Projects in Dynamics Environment
Spring 2017 ENCE662 – Fundamentals of Project Management
Spring 2016 ENCE426 – Legal Aspects and Architectural and Engineering Practice
Research in Teaching
Research in Teaching
With my extensive experience in teaching, I have led several publications that explore students' satisfaction with MOOCs and the application of ChatGPT in education. Below is the list of my works relevant to education.
Figure. Concept map based on the Community of Inquiry (CoI) model.
Key factors in MOOC pedagogy based on NLP sentiment analysis of learner reviews: What makes a hit
Computers & Education 176, 104354
L Li, J Johnson, W Aarhus, D Shah
This study examines what makes a successful MOOC by analyzing learner reviews for top-rated courses on Coursera.org. It identifies two MOOC categories based on learner intent: knowledge-seeking, driven by course design and materials, and skill-seeking, influenced by instructor quality and integration of content. The study applies sentiment and statistical analysis to derive insights from large-scale reviews. The findings highlight key factors behind MOOC success and provide practical guidance for improving course design and delivery in an increasingly competitive and digitized educational landscape.
Figure. Sentiment trend and significant events for ChatGPT in higher education.
ChatGPT in education: A discourse analysis of worries and concerns on social media
Education and Information Technologies
L Li, Z Ma, L Fan, S Lee, H Yu, L Hemphill
This study explores the opportunities and challenges of using generative AI, particularly ChatGPT, in education by analyzing Twitter discourse. Using BERT-based topic modeling and social network analysis, it identifies five key concerns: academic integrity, learning outcomes, limitations, policy and social issues, and workforce challenges. While attitudes toward ChatGPT are generally positive, discussions are led by users in tech, education, and media, with individual educators and tech professionals driving concerns. The findings emphasize the need to regulate AI in education responsibly.
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