Events

In this workshop, we cover how to scrape data from the web using Python. Web scraping involves downloading a webpage's source code and sifting through the material to extract desired data. Web scraping is typically only done when Web APIs are not available. Platforms like Twitter, Reddit, or The New York Times offer APIs to retrieve data. If you want to learn how to use web APIs in Python, see D-Lab's Python Web APIs workshop. We will assume a basic knowledge of Python. We recommend attending D-Lab's Python Fundamentals and Python Data Wrangling prior to this workshop. We additionally recommend a basic understanding of HTML and CSS.

Classroom observation tools provide an objective method for evaluating the use of active learning strategies in college classrooms (Lund et al., 2015). These tools allow instructors to document and assess their teaching practices, track improvements over time, and compile evidence for teaching portfolios, faculty position applications, and tenure reviews. Over the past two decades, various protocols have been developed to systematically analyze classroom instruction. One widely used method is the Classroom Observation Protocol for Undergraduate STEM (COPUS; Smith et al., 2013). Originally designed for STEM disciplines, COPUS has been applied across many fields due to its structured approach to capturing classroom dynamics. In this workshop, participants from all disciplines will receive hands-on training in COPUS, which categorizes classroom activities without making subjective judgments about teaching quality. Observers record instructor and student behaviors using 25 distinct codes at 2-minute intervals, creating a detailed snapshot of classroom interactions. By the end of the session, attendees will be equipped to use COPUS effectively to analyze and enhance instructional practices in their own classrooms. Participants will also learn how to use COPUS data to: Reflect on their teaching practices Identify opportunities to incorporate active learning strategies Track and document teaching adaptations over time Explore how COPUS supports evidence-based teaching and improves student engagement Bring your lunch and make the most of your lunch break with us!

Qualtrics is a powerful online tool available to Berkeley community members that can be used for a range of data collection activities.  Primarily, Qualtrics is designed to make web surveys easy to write, test, and implement, but the software can be used for data entry, training, quality control, evaluation, market research, pre/post-event feedback, and other uses with some creativity. This overview will introduce a simple workflow using the system with an orientation to the main interfaces for web survey design, sample management, corresponding with sample members, and exporting data at the end of the field period. Examples from completed surveys in public health, economics, program evaluation, and other disciplines will be incorporated in the overview. This workshop will introduce students to the basics of designing a survey instrument using the Qualtrics platform, such as randomization and survey flow. We will also cover more advanced topics like implementing embedded data and using javascript, as well as tips and tricks on how to use your design to maximize the number of quality responses you get.