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國立中正大學 教育領導與管理發展國際碩士學位學程 陳姚真所指導 阮天寶的 A Study on the Perceptions of Implementation of M-learning in Classrooms: Perspectives from High School Teachers and Students in Southern Vietnam (2021),提出tin 24h關鍵因素是什麼,來自於。

而第二篇論文國立高雄師範大學 軟體工程與管理學系 余遠澤所指導 王可欣的 以情境感知為基礎之主動式聊天機器人設計 (2020),提出因為有 人工智慧、自然語言處理、聊天機器人的重點而找出了 tin 24h的解答。

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A Study on the Perceptions of Implementation of M-learning in Classrooms: Perspectives from High School Teachers and Students in Southern Vietnam

為了解決tin 24h的問題,作者阮天寶 這樣論述:

The prevalence of mobile phones in every corner of the modern world is clearly discernible. Taking advantage of this phenomenon, a plethora of educational mobile applications has been developed to enhance learning performance of students. However, in varied classroom contexts, the implementation of

mobile learning needs to be conscientiously considered due to practical obstacles. Although various studies on mobile learning have mushroomed in recent years, few focuses on the context of high schools. Moreover, in November 2020, Vietnamese government amended their educational law to lucidly indi

cate that Vietnamese high school students are allowed to use mobile phones in classroom under the agreement of the teachers for the purpose of studying. Therefore, in an attempt to address the research gap in the timely moment, the current study aimed to investigate how Vietnamese high school teache

rs and students perceive the opportunities, challenges, strategies and their suggestions for the deployment of m-learning in classroom. In this qualitative study, five teachers and six students were invited for semi-structured interviews. The data was, then, analyzed using an analytic tool developed

from the FRAME model (Koole, 2009). The results reveal that subjective and objective factors have benefitted m-learning while external considerations, human aspects, inadequate facility and health related concerns were the hurdles to the feasibility of the application of m-learning in the classroom

setting. Besides, using educational apps or websites is the dominant for learning and teaching strategy. Suggestions highlighted the responsibilities of authorities, professors and the autonomy of students. It is hoped that the findings of the present study will contribute to the literature of the

field and assist different stakeholders in implementing mobile learning in classroom contexts.

以情境感知為基礎之主動式聊天機器人設計

為了解決tin 24h的問題,作者王可欣 這樣論述:

   現今的各行各業服務型態已轉換為即時提供且不受區域限制的服務,因此,聊天機器人在此階段中扮演著極為重要的角色且已被廣泛運用,如:金融、電信、電商平台及醫療等以提供服務為主的領域,皆已有各自的線上24H客服平台,還有蘋果公司的智慧助理Siri及Google開發的智慧型個人助理。   以目前的智能客服及智慧個人助理而言,皆可達到隨時隨地提供使用者所需之答案,但現行之模式僅能提供一般既定之回答,在實際的人機互動過程仍是取決於使用者的輸入,缺乏訊息的主動式提供。此外,目前所提供之服務已能普遍滿足使用者在現實生活中的需求,但所提供的內容較缺乏個人獨特性。因此,在設計聊天機器人時,需多考慮能主動式提

供消息內容且可透過情境感知了解使用者興趣。   本研究核心為自然語言處理,其中利用Python的爬蟲技術快速且大量取得網路即時資料,並透過中文斷詞技術CKIP工具針對蒐集的每筆資料進行斷詞、詞性標記、命名實體識別,且利用詞性標記將關鍵字進行分類,並將相關聯之內容進行主動推播。