由於數位遊戲引發人們主動参與的特性，應用於教育上已日益增多，並且成為了一種新的教育方式－遊戲式教學，遊戲式教學的成效必須依賴於教育遊戲的品質，然而並沒有方法去評估或挑選具有品質的教育遊戲。本論文基於沉浸理論並試圖建立一個評估模式，並且結合多準則決策方法將教育遊戲排序，藉以提供教育者在課程實施前先評選最適合且有品質的教育遊戲。此外本論文基於過去相關文獻設計沉浸構面問卷，並以德爾菲法請專家審視沉浸狀態的構面，提出建議並達到共識來重新建構適合用於評估遊戲環境之模型，然後以提出的情境OWA為基的TOPSIS多準策決策方法去開發評估教育遊戲之系統，名為eMLG。在個案驗證中，我們以開發的系統請專家進行評估三種不同類型的教育遊戲，並且實施系統滿意度調查，其結果證實使用本系統評估遊戲是快速且具有便利性，並且能有效的在根據情境推薦最佳並具有品質的教育遊戲給教育者。

The game-based learning as a well-known learning method used to teach students in education which learning effect depends on the quality of educational games. In the past the educators are difficult to determine whether the game is quality. Because of game environment is too complex and evaluation methods is difficult to implement. And also there is no method to help educator chosen the appropriate educational games for course. This research proposes a novel model to evaluate educational game based on flow theory and combined the MCDM method to rank educational game for assisting educator selects the best educational game with quality before curriculum implementation. In addition, this study designs the questionnaire of dimensions of flow based on previous related literature. And re-examine the dimension of flow by Delphi method which ask expert to build a new evaluation model for evaluating educational game. And this study developed a game evaluation system named eMLG based on TOPSIS method with situational OWA weighting. In case verification, several experts use the developed system to evaluate three educational games with different type of knowledge and style, and ask experts to fill questionnaire of system satisfaction after evaluation process. The results show that uses this system to evaluate game is more fast and convenient and can effectively recommended best education game with quality for educators in different situations.

摘要 i
ABSTRACT ii
Contents iii
List of Tables v
List of Figures vi
1. Introduction 1
1.1 Background and motivation 1
1.2 Research objectives 3
1.3 Research limitations 3
1.4 Organization of this thesis 4
2. Related literature 5
2.1 Digital game-based learning 5
2.2 Flow theory 6
2.3 Multiple Criteria Decision Making 8
2.3.1 TOPSIS 9
2.4 OWA 11
2.5 Delphi method 13
3. Proposed model and System development 15
3.1 Research concept 15
3.2 Building DGBL evaluation model 16
3.2.1 Selected variable of flow 17
3.2.2 Screening variables by Delphi method 23
3.2.3 Experts selected 23
3.2.4 Delphi method 23
3.2.5 Determine dimensions of flow 24
3.3 Proposed evaluation algorithm 25
3.3.1 System development 28
4. Case verification 30
4.1 Game description 30
4.2 Participants and evaluation process 33
4.3 System satisfaction questionnaire 33
4.4 Result and finding 34
4.5 Finding 1: Flow ingredient 37
4.6 Finding 2: Conservative situation 38
4.7 Finding 3: Preference ordering 38
4.8 Finding 4: System satisfaction 40
5. Conclusion 41
Reference 43

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