背景：世界衛生組織，訂定65歲以上高齡者口占總人口比例達到14%為「高齡社會」。未來需要大學生共同塑造友善的高齡環境，因此本研究欲從大學生的角度探究，由世界衛生組織提出之高齡友善城市八大面向了解大學生對於高齡者的態度以及意願之關聯。目的：探索大學生對於塑造高齡友善環境態度及協助意願之間的關聯強度，並利用人工智能繪製大學生對於塑造高齡友善環境預測精準度累計曲線圖。研究方法：分析2014年《大學生對於塑造高齡友善環境態度及協助意願探討》研究數據共390人，並使用SPSS 21版進行資料處理，以描述性統計分析人口學基本情形，並使用R進行分析。研究結果：在協助意願與社區及健康的服務的正確率平均值為87.61，標準差為0.94，兩項面向組合中，正確率最高的組合為社區及健康服務在搭配社會參與(正確率平均數= 91.86，SD=0.8597)結論：大學生對於塑造高齡友善環境八大面向態度及協助意願之間，若要能有效提升大學生的協助意願，只要能提升大學生對於「社區及健康服務」的態度，便會使協助意願獲得最佳成效。可以提供各種社會服務、休閒娛樂、運動保健活動、講座或健檢服務等，鼓勵大學生與高齡者一同參與。未來若需要了解一名大學生對於協助長者的意願，即可以透過填答預測出結果；且在無障礙與安全的公共空間、通訊與資訊、社區及健康服務及社會參與，可達到95 %的預測準確度。 Background：The World Health Organization stipulates that, to be considered as an "aging society", elderly population over 65 years old accounts for 14% of the total population.The aging population of Taiwan continues to grow. It is estimated that by 2026, the elderly population in Taiwan will exceed 20% and become a super-old society (National Development Committee, 2018). studies aimed to analyze the attitude and assistance of college students toward the elderly from eight aged-friendly perspectives proposed by WHO.Aims：The purpose of this research in explore the relationship between college students' attitudes and shaping the friendly environment of the elderly by analyzing the research data of "College Students' Attitudes and Assistance Willingness Toward Shaping Age-Friendly Environment" in 2014.Methods：SPSS for Window version 21 was use as statistical tool to carry out descriptive analysis of the 390 samples and use R system to obtain decision tree diagram in order to ascertain the accuracy of the eight perspectives. Results：It is artificial intelligence will predict the strength of the correlation between attitudes and assistance to let college students shape age-appropriate environment and use it to draw college students ’cumulative curves to ascertain their prediction accuracy. This research can be used as a policy reference to improve elderly-friendly environment in the future.
