Blankestijn, Jori (2021) A teacher's perspective on developing a dashboard for intelligent tutoring systems to support students in class. Master's Thesis / Essay, Human-Machine Communication.
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Abstract
Intelligent tutoring systems (ITSs) improve student learning outcomes by providing step-specific feedback and adaptively assigning problems based on skill mastery. Instead of students’ needs, this research is among the first to explore teachers’ needs for displaying complex ITS data. We aimed to develop a dashboard displaying real-time student data from ITSs, to support teachers’ decisions for helping K-12 students in different classroom contexts (i.e. remote or in-class) using a five-stage design process. Firstly, examining related research, which suggests teachers need to see what students are doing, get to them quickly, and correct struggles timely. Secondly, we storyboarded ideas with teachers about displaying problems, communicating and classroom contexts. In-class, teachers wanted two novel ways of displaying student work: a problem replay tool and interactive annotated snapshots. Thirdly, during prototyping teachers favored using snapshots and replay to review problems with students over investigating by themselves. Fourthly, we tested our design by simulating student data in real-time. Teachers suggested replay is versatile, but want to give feedback in the dashboard. They would primarily use replay to investigate students and analyze errors with students. Finally, we make recommendations for in-class and remote teaching and present a set up for pilot testing the tool in-class.
| Item Type: | Thesis (Master's Thesis / Essay) |
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| Supervisor name: | Taatgen, N.A. |
| Degree programme: | Human-Machine Communication |
| Thesis type: | Master's Thesis / Essay |
| Language: | English |
| Date Deposited: | 03 Jan 2022 09:48 |
| Last Modified: | 03 Jan 2022 09:48 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/26434 |
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