動態難度之數位學習遊戲設計與實作：以虛擬對手與競爭條件為調整要素

Design and Implementation of a Digital Learning Game with Adaptive Difficulty by Adjusting Virtual Competitor and Competition Condition

呂紹彬(Shao-Pin Lu)

指導教授 ： 周志岳

元智大學/資訊學院/資訊工程學系/碩士(2008年)

https://doi.org/10.6838/YZU.2008.00140

摘要

大部分的數位學習遊戲針對不同的使用者還是提供事先設定好的難度，這樣固定的難度可能會使得有些學生覺得太難，而有些學生則覺得太容易。此外大部分遊戲的調整難度方式通常是在不同關卡給予不同難度的遊戲目標，這種調整方式很容易讓學生察覺到難度上的變化。本研究旨在設計與實作出一個具動態調整難度的數位學習遊戲，而且採取不易被學生發現的難度調整機制。在本研究中以勝負的多寡以及與對手間的差距來作為控制遊戲難度的調整依據。系統則透過勝負與差距超出設定時的調整時機，分別以虛擬對手及競爭條件兩種方式來調整難度。實驗結果顯示出系統調整的次數確實可因人而異作適當的調整以控制遊戲的勝負以及對手的差距。本研究也進行實驗來探究動態難度以及非動態難度遊戲對學生動機的影響，雖然兩組學生在學習動機上並沒有顯著差異，學生對於本系統都表現出高度學習動機。

關鍵字

遊戲式學習 ； 動態難度調整 ； 難度控制 ； 學習動機

並列摘要

Most of the digital learning games provide fixed difficulty for different users. It could make some students feel the game too difficult, and some students feel that too easy. In addition, most games provide different difficulties by setting different goals in different stages. However, it is easy for students to detect the change of difficulty. The objective of this research is to design and implement a digital learning game with adaptive difficulty by some adjustments, which are not easily detected by students. This study developed a game based learning system to control win-lose ratio and distance between competitors by adjusting virtual competitor and competition condition. The experiment results show that the adjustment numbers for different students differ to attain adaptive difficulty. This study also compared students’ motivation between a game with adaptive difficulty and a game with fixed difficulty. Although there was no significant difference among students’ motivation on two games, students revealed high motivation to play the developed games.

並列關鍵字

gamebased-learning ； dynamic difficulty adjustment ； adaptive difficulty ； learning motivation

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