Abstract
As computer-based training systems become increasingly integrated into real-world training, tools which rapidly author courses for such systems are emerging. However, inconsistent user interface design and limited support for a variety of domains makes them time consuming and difficult to use. We present a Generalized, Rapid Authoring Tool (GRAT), which simplifies creation of Intelligent Tutoring Systems (ITSs) using a unified web-based wizard-style graphical user interface and programming-by-demonstration approaches to reduce technical knowledge needed to author ITS logic. We implemented a prototype, which authors courses for two kinds of tasks: A network cabling task and a console device configuration task to demonstrate the tool's potential. We describe the limitations of our prototype and present opportunities for evaluating the tool's usability and perceived effectiveness.
Original language | English |
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Title of host publication | Proceedings of the 30th Australian Computer-Human Interaction Conference (OzCHI 2018) |
Subtitle of host publication | Melbourne 4 – 7 December 2018 |
Editors | Dana McKay, Jenny Waycott, Ann Morrison, Jaz Hee-Jeong Choi, Artur Lugmayr, Mark Billinghurst, Ryan Kelly, George Buchanan, Duncan Stevenson |
Place of Publication | New York NY USA |
Publisher | Association for Computing Machinery (ACM) |
Pages | 368-373 |
Number of pages | 6 |
ISBN (Electronic) | 9781450361880 |
DOIs | |
Publication status | Published - 2018 |
Event | Australian Computer Human Interaction Conference 2018 - Melbourne, Australia Duration: 4 Dec 2018 → 7 Dec 2018 Conference number: 30th http://www.ozchi.org/2018/ https://dl.acm.org/doi/proceedings/10.1145/3292147 (Proceedings) |
Conference
Conference | Australian Computer Human Interaction Conference 2018 |
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Abbreviated title | OZCHI 2018 |
Country/Territory | Australia |
City | Melbourne |
Period | 4/12/18 → 7/12/18 |
Internet address |
Keywords
- Intelligent Tutoring Systems
- Programming-By-Demonstration
- Rapid Authoring Tools
- Unified user interface