# Quick Polling for Data Assessments

Activity: Intro to Data Science Lecture

Submitted by Rafael A. Irizarry, Public Health

Goal/s:

• To allow both the student and the teaching staff to gauge if the lecture material is being understood.

Class: BIO 260 –Introduction to Data Science

Introduction/Background: This in-class activity is part of a Biostatistics course that incorporates assessment questions throughout the lecture as an activity-based learning technique.

# Complex Stats, Simple Tech

Activity: Complex Stats, Simple Tech

Submitted by Theodore Svoronos, Advanced Quantitative Methods I

Goal/s:

• The goal of the activity was to get the students comfortable with understanding the effects of changes on confidence intervals, a concept they had learned about in theory prior to the class.

Class: API 209 – Health Policy

Introduction/Background:

# Roses and Thorns Feedback

Students provided feedback on the highlights of lecture (Roses) and confusing concepts (Thorns) through a weekly online form, providing students with time for reflection and instructors with the ability to address areas of confusion.

# Greenhouse Gas Inventory and Reduction Plan

Students develop a greenhouse gas inventory and reduction plan for a business, non-profit, government entity, or other institution by working with the organization to understand their sources of emissions and find practical methods of reducing them.

# Interactive Probability Theory Activity

Introduction/Background: Claudia De Grandi

# Chalk Talks

In Systems Biology 201, in an effort to prevent paper regurgitation, students were pre-assigned to present "chalk talks" of the reading at each session.

# Teaching Statistics with Modules

EMR16: Real-Life Statistics: Your Chance for Happiness (or Misery) is taught around real-life modules, and all major assignments apply statistical topics directly to the real-life topics.

# Topic-Centered Assignments

In Sociology 157, Dan O'Brien's students choose a topic of their choice relating to the Greater Boston Area.  All assignments center around this topic, culminating in a final paper that resembles an actual science paper.

# Strategic Practice Problems

In Statistics 110, Professor Joe Blitzstein provides students "strategic practice problems," arranged by topic which help then do the problem set.

# Section Presentations

In the 2008 offering of Math 154, Professor Paul Bamberg had small weekly sections where students prepared problems from the textbook in advance, which they presented for each other.

# Student Math Presentations

In Math 152, Professor Paul Bamberg and his co-teacher structured the class in a seminar format, where students did mini-lectures for each other in class and critiqued each other content as well as style.

# Specialized Topics in Physics

About every other week, Greg Kestin held a special optional session for Physics 16, which focused on specialized topics that students wanted to learn.

# Interactive Group Math

Every aspect of Math 121 is highly interactive: Students spend most of class time working in groups on problems and they then present their work and discuss as a class.  Each student is responsible for some part of the in-class problems.

# Incentivizing Proofs

In Math 23a and Math23b, Professor Paul Bamberg provides opportunities for students to practice proofs.