
The aim of this study was to design and evaluate a Digital Game Based Learning software for history subject. The methodology used was Instructional Design-Digital Game Based Learning (IDDGBL) Model adapted from ADDIE and game development as well as 5E intructional models. Design elements include learning theories, pedagogy and game components. The effectiveness evaluation used quasi-experimental tecnique via pre and post tests. The samples involved were 60 secondary school students; 30 in experimental group who used the software after class lesson and 30 in control group who used conventional method. Both the independent t test result show that there is significant difference of achievements between the control group (mean score = 35.80) and the experimental group (mean score = 72.30), p 4.00) design for all constructs evaluated (multimedia, interface, contents, feedback, ease of use and immersion). Motivation and learning opporturnity for history DGBL software are also high. Evaluation results indicate that the History DGBL software can entertain, attract, engage and motivate students to learn history subject. Students had fun and felt entertained learning through illustration of historical events when they play the games immersively. Evaluation results suggest that history DGBL software can be used as an alternative teaching and learning tool to promote student’s learning of
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 13 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
