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| Content Provider | ACM Digital Library |
|---|---|
| Author | Soh, Leen-Kiat |
| Abstract | Intelligent tutoring systems (ITSs) have been used to complement classroom instruction in recent years, and have been shown to facilitate learning. We incorporate an ITS named Intelligent Learning Materials Delivery Agent (ILMDA) into our CS1 course and collect evidence to validate two hypotheses: (1) The ITS improves student learning, (2) The ITS "learns" to tutor the students more efficiently and/or effectively. Our method of inquiry includes collecting data tracked while a student interacts with the ITS, post-test scores, and exam scores. We also use control and treatment groups, as well as different versions of the ILMDA in our experiments. Based on the results, we see indications that support the above two hypotheses. |
| Starting Page | 486 |
| Ending Page | 490 |
| Page Count | 5 |
| File Format | |
| ISSN | 00978418 |
| DOI | 10.1145/1124706.1121494 |
| Journal | ACM SIGCSE Bulletin (SGCS) |
| Volume Number | 38 |
| Issue Number | 1 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 1978-02-01 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Cs1 Intelligent tutoring system |
| Content Type | Text |
| Resource Type | Article |
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