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| Content Provider | ACM Digital Library |
|---|---|
| Author | Toivonen, Tapani Jormanainen, Ilkka |
| Abstract | Machine learning is a subfield of computer science and it is widely taught as a part of computing degrees. Machine learning is an umbrella concept for a wide range of different algorithms and approaches, and it is often considered a difficult subject to teach. Machine learning systems work usually in a black box where only inputs and outputs of algorithms are visible to the user. This might cause difficulties for a learner to interpret and comprehend how the algorithm works. In this paper, we introduce a novel approach to demonstrate and teach machine learning concepts by turning the black box into a white box with JS-Eden, which is an Empirical Modelling platform for creating open-ended and interactive open educational resources (construals) with Eden modelling language. A specifically developed JS-Eden plugin for physical computing follows white-box approach and it enables a user to import an implementation of a machine learning algorithm to the environment and interact with the algorithm in an unusual way. |
| Starting Page | 165 |
| Ending Page | 169 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781450347709 |
| DOI | 10.1145/2999541.2999548 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-11-24 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Q-learning Machine learning education Reinforcement learning Artificial neural network Js-eden |
| Content Type | Text |
| Resource Type | Article |
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