In this episode I unpack Obermüller, Greifenstein, and Fraser’s (2023) publication titled “Effects of automated feedback in Scratch programming tutorials,” which investigates the impact of two different types of hint generating approaches among two different classes.

Click here for this episode’s show notes.

How to Get Started with Computer Science Education

━━━━━━━━━━━━━
00:00 Intro

00:44 Abstract

01:54 My single sentence summary

02:02 1 Introduction

02:42 2 Background

03:25 3 Interactive tutorial system for Scratch

03:47 4 Experimental setup

06:14 RQ1: How do next-step hints influence

08:50 RQ2: How do next-step hints influence

11:42 RQ3: How do next-step hints influence help

12:29 RQ4: How do next-step hints influence

13:15 My lingering questions and thoughts

13:22 What kind of projects can students create with such a tool?

16:56 How do you teach students to provide feedback to peers when other forms of feedback are unavailable?

20:18 As teaching, assessment, feedback, etc. becomes more automated, how will this impact teaching and learning?

21:38 Outro