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機器人融入國小英語教育戲劇以強化學生之學習成效、動機和專注力
No full text[[abstract]]https://wsts.nstc.gov.tw/STSWeb/Award/AwardMultiQuery.aspx?year=110&code=QS05&organ=D,FD08,FD08A008&name=%E6%A5%8A%E8%88%92%E5%AA%9B[[note]]為因應全球化和國際化的浪潮，本研究探討運用「任務型教學法」對國小 五年級學生實施英語重述故事，並搭配教育機器人實施英語教學，以培養學生 學習語言的自信心，以及打破常規英語課程的單調性。本專題將探討機器人融 入英語說故事教學對於學生的學習成效是否有提升；英語重述故事搭配機器人 之教學觀察學生在活動中的心流變化；最後機器人融入英語說故事學生的情緒 表現
動態資訊設計研究 - 臺灣人口負成長數據變遷
No full text[[abstract]]2020 年台灣出現「生死交叉j ，死亡人數首度超越新生兒數， 正式進入人口負成長，將使人力短缺、消費力
下降，衝擊經濟，甚至會面臨到國安問題。根據內政部統計，去年全年新生兒僅1 6.5 萬入。預估到203 1 年，
台灣勞動人口將呈現負成長去年50 歳以上到64 歲以下的勞動人口已超過3 0 0 萬人，占就業人口近3 成。追
群勞動人口預計在15 年內全部退休。未來企業將面對招不到年輕人才、高齡勞丁高達數兆元退休支出的雙重
壓力。
本研究希望最終透過動態資訊視覺化的方式，以動態資訊圖像的方式呈現近二十年（民國90- llO 年）生育率
逐年下降的數據變化，希望能讓大眾更容易、有效率地閱讀並了解其中的關係及嚴重性
導入合作數位說故事於國小英臺雙語學習之環境開發與成效評估
No full text[[abstract]]本計畫旨在探討導入合作數位說故事的雙語教學對學習成效之影響，以國小高年 級英語及閩南語的部定課程為基礎，開發一個雙語的合作數位說故事學習環境，著重 於臺灣民俗故事的創作，創建貼近臺灣生活的雙語數位故事，藉由此學習環境提升學 生學習的成效。為達此目的，本研究透過以下階段的設計開發雙語合作數位說故事學 習環境，分別為學習環境內容架構設計、教材設計概念圖、教學內容設計流程圖與製 作場景物件；其次，為導入雙語數位說故事於學習活動，本計畫準備英語及臺灣閩南 語數位說故事範例，作為學生學習之教材。本計畫邀請臺中市某國小一個六年級班級 共 24 位學生參與『說故事「助」英台』雙語學習活動，歷時四週，於該校的電腦教室 進行。學生以三人為一組，使用個人電腦於 CoSpaces Edu 進行雙語合作數位說故事創 作活動的操作，並在課堂中與組員進行討論。研究發現，學生在參與活動後，在英語 及閩南語的學習成就與學習動機皆有顯著地提升
AI照護機器人應用之民 事責任探討
No full text[[abstract]]我國於 2018年老年人口占總人口比率超過 14％，已進入高齡社會，國家發展委員會推估於 2025年 將邁入超高齡社會，屆至 2070 年時，高齡人口占比將提升至 41.6％。我國相較許多先進國家，由高 齡社會轉為超高齡社會之速度甚為快速，因此高齡化社會之議題來得令人措手不及。然而，隨著人 工智慧日益發達，有關醫療人工智慧的民事責任問題也漸漸浮出水面。本文將先介紹人工智慧之定 義，透過文獻整理羅列各式醫療智慧機器人發展之類型樣態，形塑對於我國目前醫療照護機器人相 關規範，其次針對目前民事責任問題探討，說明電子人格之可行性與否，以及對照護機器人之安全 性及廠商之產品責任分析，並援引歐盟的發展模式比較，進一步研究 AI 照護應用的風險與產品的製 造、設計、使用等相互關連性，透過整理與歸納，以此提出建議以作為我國未來立法規範之參考
[[alternative]]The Pathway from Vulnerable Personality and Depression to Smartphone Addiction and Suicidal Behavior among College Students: The Role of Social Influence and Behavioral Outcome Expectations
No full text[[abstract]]研究背景：科技日益進步，網路及手機使用便利；研究指出，大學生手機成癮盛行率逐年上升；而大學生族群自殺行為是造成死亡的第四大原因，亦成為大學生的重要心理問題。過去研究指出，手機成癮與自殺行為有顯著的共發率，但其機制未明。過去文獻分析指出，脆弱性格與憂鬱均與自殺行為、手機成癮相關；而社會影響力與行為結果預期也與自殺行為、手機成癮相關，但其中發展路徑還需進一步探討。研究目的：本研究假設脆弱性格預測憂鬱，而憂鬱會透過自傷結果預期的中介，預測自殺行為；憂鬱會透過手機使用結果預期的中介，預測手機成癮；另一方面，社會影響力透過自傷結果預期的中介預測自殺行為；手機使用社會影響力透過手機使用結果預期的中介預測手機成癮。 研究方法：研究樣本採用「大學生網路成癮預防教育」研究計劃資料庫資料進行分析。該資料庫資料取樣自中部大學生；為考慮性別取樣代表性，再依據教育部網站發布之歷年大專院校學生人數中性別比例公開檔案進行隨機抽樣，共抽取有效樣本1,583名大學生樣本進行分析。該研究使用五因素性格量表、自殺行為量表、憂鬱量表、自傷結果預期量表、手機使用結果預期量表、自傷社會影響力量表、手機社會影響力量表、手機成癮量表進行施測。本研究利用SPSS22.0與SMARTPLS統計軟體、Boostrapping test（拔靴法）進行資料分析。研究結果：結果顯示脆弱性格正向顯著預測憂鬱，而憂鬱會透過自傷結果預期自殺程度；憂鬱也會透過手機使用結果預期預測手機成癮程度。自傷社會影響力透過自傷結果預期預測自殺程度，手機社會影響力透過手機使用結果預期預測自殺之程度。結論與建議：本研究驗證脆弱性格、憂鬱、社會影響，透過行為結果預期預測自殺行為與手機成癮之路徑，研究結果支持行為結果預期是憂鬱與自殺行為、手機成癮間關係之中角色；也是社會影響力與自殺行為、手機成癮之中介角色。然而，本研究設計為橫斷研究，有待未來更進一步採縱貫研究加以驗證。研究結果可做為對於未來在大學生族群智慧型手機成癮與自殺之三級預防及介入策略規劃參考。[[abstract]]Background The prevalence of smartphone addiction among college students is increasing year by year. Meanwhile, suicidal behavior within the college student population ranks as the fourth leading cause of death and constitutes a significant psychological issue among students. Previous studies have indicated a significant co-occurrence between smartphone addiction and suicidal behavior, though the mechanisms driving this connection remain unclear. A review of past literature has identified that both vulnerable personality traits and depression are correlated with both suicidal behavior and smartphone addiction. Additionally, it is anticipated that social influence and expected behavioral outcomes are associated with both suicidal behavior and smartphone addiction, yet further exploration is required to fully understand the developmental pathways in these relationships.Purpose This study hypothesized that vulnerable personality traits predict depression, and depression predicts suicidal behavior through the mediation of behavioral outcome expectations of self-harm. Depression also predicts smartphone addiction through the mediation of behavioral outcome expectations of smartphone use. On the other hand, social influence predicts suicidal behavior through the mediation of behavioral outcome expectations of self-harm, and social influence of smartphone use predicts smartphone addiction through the mediation of behavioral outcome expectations of smartphone use.Methods The study sample was analyzed using data from the "College Student Internet Addiction Prevention Education" research project database. This database was sampled from central university students. To ensure gender representativeness in the sample, random sampling was conducted based on the gender ratio data publicly available on the Ministry of Education's website regarding the gender proportions of college students in previous years. A total of 1,583 valid samples of college students were selected for analysis. This study utilized the Five-Factor Personality Scale, Life Experiences Scale, Depression Scale, Behavioral Outcome Expectations of Self-Harm Scale, Behavioral Outcome Expectations of Smartphone Use Scale, Social Influence of Self-Harm Scale, Social Influence of Smartphone Use Scale, and Smartphone Addiction Scale for assessment. Statistical analysis was conducted using SPSS 22.0 and SMARTPLS software, along with Bootstrapping test for data analysis.Results In the model, vulnerable personality traits significantly and positively predict depression, and depression predicts the severity of suicidal behavior through behavioral outcome expectations of self-harm. Depression also predicts the level of smartphone addiction through behavioral outcome expectations of smartphone use. Social influence of self-harm predicts the severity of suicidal behavior through behavioral outcome expectations of self-harm, while social influence of smartphone use predicts the severity of suicidal behavior through behavioral outcome expectations of smartphone use.DiscussionThis study explores the pathway of vulnerable personality traits, depression, and social influence predicting suicidal behavior and smartphone addiction through behavioral outcome expectations of behavior. The study verifies that behavioral outcome expectations play a mediating role in the relationship between depression and suicidal behavior, as well as smartphone addiction. Similarly, social influence acts as a mediator in the relationships between social influence, suicidal behavior, and smartphone addiction. However, the findings of this study are based on cross-sectional research, and further longitudinal research is needed for verification. The results of the study can serve as a reference for planning tertiary prevention and intervention strategies for smartphone addiction and suicide in the college student population in the future
[[alternative]]Fear of Missing Out and Social Media Addiction: A Systematic Review and Meta-analysis
No full text[[abstract]]研究背景：學者們過去已發現錯失恐懼與社群網站成癮具相關性，亦有文獻回顧與後設分析嘗試討論可能影響兩者關聯強度的因素，然現有研究之文獻收錄原則和統計方法不一，加上過往研究發現社群網站成癮類別對兩者關聯強度調節效果可能的不一致性，且個人主義指數強度與新冠疫情前後可能調節錯失恐懼與不同社群網站成癮間的關聯強度，故有待進一步的整合性研究釐清上述議題。研究目的：採嚴謹的PRISMA標準做系統性文獻回顧與後設分析，檢驗錯失恐懼和社群網站成癮關聯強度，探討個人主義指數強度與新冠疫情前後是否調節錯失恐懼與不同社群網站成癮間的關聯強度。研究方法：以系統性文獻回顧進行質性分析，並採CMA軟體做隨機效果之後設分析、後設迴歸以驗證假設，於Scopus、PubMed、ProQuest、PsycInfo、ScienceDirect、MEDLINE、Google Scholar等資料庫或檢索系統進行截至西元2023年7月1日發表之錯失恐懼與社群網站成癮相關研究搜尋，經篩選後共收錄55篇文獻。研究結果：錯失恐懼與社群網站成癮具中等關聯強度(r = .48)；錯失恐懼和社群網站成癮之關聯強度在疫情間顯著高於疫情前；個人主義指數強度偏低的國家較個人主義指數強度偏高的國家在錯失恐懼和Facebook成癮的關聯強度顯著較高。結論與建議：個體在錯失恐懼相關的特質下，為滿足內外在需求或因應壓力情境之由，對社群網站產生補償性之使用動機，又因缺乏其他具適應性的替代因應方法，而衍生錯失恐懼到社群網站成癮行為的路徑。同時考量不同社群網站成癮類別時，個人主義指數強度偏低國家與新冠疫情期間則扮演著潛在影響因素。當人們對歸屬和訊息滿足需求增高，個人主義指數強度偏低的國家文化更可能強化個體過度使用著重群體性和關係連結功能的社群網站；而新冠疫情期間則普遍增加人們在經驗到錯失恐懼而過度使用社群網站的整體可能性。未來研究宜加強針對不同文化、環境背景、年齡層樣本或社群網站功能類型等特性進行調節變項探討，以更臻了解錯失恐懼和社群網站成癮關聯脈絡的影響因子；臨床工作者則可透過錯失恐懼和社群網站使用行為評估結果在理論架構下進行個案分析，著重個案的自我覺察、社交技巧與壓力因應心理介入和健康衛教。[[abstract]]Background: Scholars have identified a correlation between fear of missing out (FoMO) and social media addiction (SMA). Some literature reviews and meta-analyses have attempted to explore potential factors that may affect this association. Due to variations in literature inclusion criteria and statistical methods, as well as findings on the potential moderating effects of individualism and the COVID-19 pandemic on different SMA types in previous studies, further comprehensive research is needed to clarify these issues.Objective: The correlation strength between FoMO and SMA was assessed through a systematic review and meta-analysis following the PRISMA guidelines. The potential impact of individualism and the COVID-19 pandemic on the correlation between FoMO and SMA within different SMA types was also examined.Methods: The present study conducted a systematic review and employed CMA software to perform a meta-analysis with a random-effects model, aiming to elucidate these issues. A total of 55 studies published before July 1, 2023, were included.Results: The correlation strength between FoMO and SMA was moderate (r = .48). The correlation between FoMO and SMA was significantly stronger during the COVID-19 pandemic than before. Additionally, the correlation between FoMO and Facebook addiction was significantly stronger in countries with a high individualism index.Conclusions and Suggestions: This study indicates that individuals with FoMO tend to engage in compensatory social media use to fulfill certain needs and cope with stress while lacking adaptive coping strategies. Moreover, countries with a high individualism index and the COVID-19 pandemic might serve as potential factors influencing individuals' susceptibility to SMA. It is recommended to focus on moderators for different types of SMA, cultural/environmental backgrounds, and age groups when investigating the association between FoMO and SMA in future research. Clinical professionals can utilize a theoretical framework to evaluate FoMO and SMA behaviors, and then provide health education and appropriate interventions for social interaction, needs fulfillment, and stress coping