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An Intelligent Grading System for e-Learning Environments
| Content Provider | Semantic Scholar |
|---|---|
| Author | Gamalel-Din, Shehab |
| Copyright Year | 2016 |
| Abstract | Many educators believe that among effective learning methods are learning-by-explaining-experience and learning-by-correcting-mistakes through one-on-one interactions with students. It is not surprising, then, that an effective way of teaching is to give students immediate feedbacks on exercises and problems that they have just solved. Unfortunately, such one-on-one teaching scenarios are becoming increasingly difficult to arrange in e-learning, especially web-based learning, where the number of participating students is continuously increasing. Computerized empowered intelligent graders that provide students with comprehensive explanations on their mistakes and what a correct answer would be are of urgent need to overcome such difficulties. This research have introduced the new concept of Intelligent Grading Systems (IGS), designed a generic framework, and implemented Smart Grader (SG) – a simple proof of concept prototype. SG is assumed to either work as a separate grading tool or as an integrated component to e-Learning systems for grading programming and mathematics problems. |
| Starting Page | 3 |
| Ending Page | 13 |
| Page Count | 11 |
| File Format | PDF HTM / HTML |
| DOI | 10.5220/0004087300030013 |
| Alternate Webpage(s) | http://www.scitepress.org/Papers/2012/40873/40873.pdf |
| Alternate Webpage(s) | https://doi.org/10.5220/0004087300030013 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
