Calendar

Welcome to Teaching Computer (and Data) Science!

Lec01: Introductions and orientation to the course (slides)

Tutoring Tips

Lec 02: Tutoring Orientation: Demo and Tips (slides)

Practicing one-on-one explanations

Lec 03: Guidelines for the session

Academic Integrity

Lec 04

UCSB Academic Integrity Policy

Why is academic dishonesty a problem
Why do students resort to academic dishonesty
Detecting cheating and ULA responsibilities
What can instructors and tutors do to discourage academic dishonesty
Consequences

Growth Mindset, Impostor syndrome, and Self-efficacy

Lec 05: Growth Mindset, Impostor syndrome, and Self-efficacy (slides); How experts differ from novices (Chapter 2 from the book “How people learn”; you can download as a guest, instead of creating an account).

Diversity, Equity, and Inclusion

Lec 06: Teaching Practices game; Please join the Office of Diversity, Equity, and Inclusion for the last event of its 2020-2021 series “Difficult Dialogues: Anti-Blackness” on Friday, May 7 at 12pm. The talk will be delivered by Samuel Sinyangwe and is titled, “Using Data to Fight Racism and Police Violence.” Samuel Sinyangwe gave a TED talk on Mapping Police Violence and is a contributor to FiveThirtyEight.

Teaching Demos (Weeks 7, 8, 9)

7, 8, 9

Guidelines for the Teaching Demo: Due Demo Materials

Ongoing Shadowing Observations: Due Observation report

ULAs in CS

Lec 10

Discussion of the paper about ULAs: Due Paper Analysis

Finals Week

Final: Due Final Report