- author = "Siti Afiqah Ismail and Jason Teo Tze Wi",
- title = "Evolution of an adaptive mathematics learning game for lower primary students",
- year = "2015",
- keywords = "genetic algorithms, genetic programming",
-
URL = "
http://www.ums.edu.my/fki/index.php/en/evolution-of-an-adaptive-mathematics-learning-game-for-lower-primary-students",
-
URL = "
http://www.ums.edu.my/fki/files/EVOLUTION_OF_AN_ADAPTIVE_MATHEMATICS_LEARNING_GAME_FOR_LOWER_PRIMARY_STUDENTS_new.pdf",
- size = "6 pages",
- abstract = "The newly coined term courseware was actually derived from the words course and software. The courseware that is available nowadays has been added with the adaptiveness values. These adaptive elements have been implemented by researchers in various ways. Some are using fuzzy, neural-network or even metaheuristics to implement the adaptive elements in to their courseware systems. By using these approaches, they apply the adaptiveness by optimizing the learning path. In this research, the learning path will be optimized based on the learners' understanding level of the concept being learnt. This approach is commonly known as personalization. In this project, the Evolutionary Algorithm approach is selected as the optimization method. The EA used in this project is Genetic Programming. Instead of evolving the separate representations to the solution, Genetic Programming evolves the solution itself. Genetic Programming usually evolves computer programs instead of evolving the solution representations found in Genetic Algorithms. Nonetheless, the process of Genetic Programming is still similar to Genetic Algorithms. Apart from implementing GP into the learning system, this research uses the basic user interface design for designing an interface of the mathematics learning game. Since the main audience of the game is young children, some interface design elements especially suited for young children have to be taken into account. In this research, 4 experiments had been conducted to test the algorithms implemented. In comparison, experiment 2 yielded better results compared to other experiments. In experiment 2, the level was set to be fixed, while in the other experiments, the level changing parameter is set to be random. In experiments 1, 3 and 4, the findings show that the random changing level is unpredictable. Some level jumps are too high and some level jumps are too low. In general, the overall outcomes of this research demonstrate that EAs can be a viable approach in terms of implementing adaptive courseware at least in the realms of teaching mathematics to young children.",
-
notes = "
...new.pdf gives rough outline of table of contents
See also: THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENT FOR THE DEGREE OF BACHELOR OF COMPUTER SCIENCE (SOFTWARE ENGINEERING) WITH HONOURS",
