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.
Formats:
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 2024):
CS 370 – Tu 17:00-18:59, Wheeler 212 –
Christopher Todd Hunn
CS 370-2 – Th 17:00-18:59, Wheeler 212 –
Christopher Todd Hunn
Class Schedule (Spring 2025):
CS 370 – Tu 17:00-18:59, Hearst Field Annex B5 –
Christopher Todd Hunn
CS 370-2 – Th 19:00-20:59, Hearst Field Annex B5 –
Christopher Todd Hunn