以大數據分析探討臺灣幼兒對數位遊戲偏好及學習成效

A Study on Taiwan Children’s Preference for Digital Games and Learning Through Big Data

遊戲學習係透過遊戲提升學習成效。本研究旨在探究3~8歲幼兒的遊戲偏好及學習，以大數據分析了十個遊戲、五種遊戲類別（競速、開發、選擇、創造、紙牌），將遊戲放在兒童教育平板內，提供給幼兒自由探索。研究結果發現：1. 幼兒願意對於喜歡的遊戲一次又一次的遊玩；2. 性別及年齡對於遊戲的喜好並未有顯著差異；3. 幼兒對遊戲的興趣及學習成效成正向的相關。本研究嘗試以大數據的方式找出幼兒遊玩數位遊戲的模式，此分析結果可作為幼兒和學齡前教師或是幼兒數位遊戲設計師的參考。

Game-based learning enhances learning through the use of digital games. To explore the learning effects and preferences of children aged 3–8 in game-based learning, this study analyzed ten different types of games in five digital game categories (competition, speed, development, choice, creation, and solitaire) and placed them on children’s educational tablets, providing free exploration for young children. Through big data analysis to evaluate the behavior of 1,000 children aged 3–8, we found the following: 1. Children are willing to repeatedly play their favorite games; 2. There were no significant differences in game preference based on gender or age; 3. Children’s interest in games and learning outcomes were positively correlated. This study aimed to determine the patterns of children playing digital games using big data, and the analysis results can be used as a reference for children and preschool teachers or children’s digital game designers.