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
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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
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