CS 370. Adaptive Instruction Methods in Computer Science

Catalog Description: This is a course for aspiring teachers or those who want to instruct with expertise from evidence-based research and proven equity-oriented practices. It provides pedagogical training by introducing the big ideas of teaching and learning, and illustrating how to put them into practice. The course is divided into three sections—instructing the individual; a group; and psycho-social factors that affect learning at any level. These sections are designed to enhance any intern’s, tutor’s, or TA’s teaching skillset. Class is discussion based, and covers theoretical and practical pedagogical aspects to teaching in STEM. An integral feature of the course involves providing weekly tutoring sessions.

Units: 3

Prerequisites: Prerequisite satisfied Concurrently: experience tutoring or as an academic intern; or concurrently serving as an academic intern while taking course.

Fall: 2.0 hours of lecture per week
Spring: 2.0 hours of lecture per week

Grading basis: letter

Final exam status: No final exam

Class Schedule (Fall 2023):
CS 370 – Tu 16:00-17:59, Wheeler 204 – Christopher Todd Hunn
CS 370-2 – We 16:00-17:59, Social Sciences Building 166 – Christopher Todd Hunn

Class Schedule (Spring 2024):
CS 370 – Tu 17:00-18:59, Wheeler 212 – Christopher Todd Hunn
CS 370-2 – Th 17:00-18:59, Social Sciences Building 110 – Christopher Todd Hunn

Class homepage on inst.eecs