Does Providing a Personalized Educational Game Based on Personality Matter? A Case Study

Abstract

While researchers have highlighted the importance of considering learner's personality as a personalization parameter in computer based learning, very few studies have really addressed this parameter in educational games. Therefore, this paper presents an educational game which models learner's personality, specifically introvert/extrovert dimension, to serve as a personalized game learning environment. Fifty one learners were randomly assigned to a control and an experimental group which learned with a nonpersonalized and a personalized version of the game respectively. The experimental results show that the personalized educational game did not have a significant impact on learners' motivation, while it did significantly decrease learners' cognitive load. Besides, the learners who learned with the personalized version of the game revealed a significant higher degree of perceived usefulness and intention to use the game than those who learned with the non-personalized version of the game. The findings of this study can be used by educators and game designers to adopt and develop personalized game learning environments based on learner's personality. INDEX TERMS Educational games, personalized learning, personality, computer based learning.

Personalized Online Education Learning Strategies Based on Transfer Learning Emotion Classification Model

“…Chen and Wang [28] implemented personalized learning on a handheld device to accommodate students with different cognitive styles. Tlili et al [29] developed a personalized educational game based on learners' personalities.…”

Characterising Players of a Cube Puzzle Game with a Two-level Bag of Words

“…Dynamic difficulty adjustment (DDA) [39] is particularly relevant to adapt the challenge to the players' skills or preferences, which may bring an improved game experience [35]. Personality and game experience are related [5]; player types can be found from personality traits, and the latter can be inferred through behavioural data [9], which in turn can help personalise games [16,31]. User modelling from either theoretical frameworks [30], or human domain experts [20], are useful, but have limited flexibility.…”

Electronic Science Games Used to Enhance Cognitive Ability: Opinion of Design From Personalization and Adaptation

“…In 2019, Ahmed Tlili et al divided 51 learners into a control group and an experimental group, and they learned through the non-personalized version and the personalized version of the game, respectively (Tlili et al, 2019 ). The experimental results showed that personalized educational games not only reduced the cognitive burden of learners, but also allowed learners to show higher perceived usefulness and willingness to use.…”