Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/98384
標題: 以課程資訊分析揭露讀者潛在學習需求可行性及其應用之研究
Uncovering Potential Learning Information Needs Based on Analysis of Course Information: Feasibility Study and Application
作者: 林家陞
Jia-Sheng Lin
關鍵字: 推薦系統
資訊偶遇
先備知識
潛在資訊需求
Recommendation System
Information Encountering
Prior Knowledge
Potential Information Needs
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摘要: 在資訊尋求行為研究中大部分研究多探討使用者主動找尋資訊的情境,關於使用者被動接收資訊的情境探討則相對較少,而關於使用者被動接收資訊的情形,在過去研究中則提出了資訊偶遇的概念,在其概念中,指出使用者會偶然地接觸到有用資源,也指出使用者其實具有多樣的潛在資訊需求,以及使用者個人本身具備的先備知識能幫助使用者辨識資源,判斷資源的有用性或幫助程度。 本研究嘗試以課程相關資源為推薦項目,透過分析學校系統中既有的課程相關資訊,以及配合圖書館館藏紀錄,以圖書館館藏查詢平台為基底,在其上建置推薦系統的方式,嘗試揭露大學生與課程修課相關的潛在學習及資訊需求,並透過推薦系統推薦可能幫助解決前述資訊需求的資源,邀請大學生進行推薦系統的操作,配合問卷、訪談等方式進行資料蒐集,探討透過既有之課程資料的分析,嘗試揭露大學生的修課資訊需求,並探討大學生個人先備知識對於資源判斷可能產生的影響,以及驗證建置相應推薦系統之可行性。 研究發現使用者的先備知識會影響其對於推薦之資源的判斷,幫助使用者辨識不同主題範圍之資源與課程的關聯性,當使用者具備修課經驗時,會傾向將推薦之資源與實際修課內容進行比較;而當使用者不具備修課經驗時,則多傾向分析資源與課程之間主題範圍的差異來進行比較,同時,當使用者具備修課經驗時會相對容易辨識及判斷推薦之資源對課程可能的具體幫助;另一方面,無論使用者是否具備修課經驗,都會傾向取用容易理解,或是主題難易度較淺的資源項目,以及使用者會對偏實務應用或個案探討相關的資源較感興趣。本研究建置之推薦系統在面對不同科系的使用者時都能夠推薦出使用者認為是有幫助的資源,驗證本研究分析課程資訊進行推薦的系統建置方向確實有其發展可行性,最後研究亦發現當系統採用圖像式的資源呈現方式時,確實能在第一時間吸引到參與者的注意。 根據研究結果提出對未來推薦系統建置時的建議包含未來可以嘗試考量個人先備知識對資源判斷的影響,融入與課程有關的資源推薦,並且建置以圖像呈現為主的推薦系統介面,吸引使用者注意及興趣,以及在資源呈現上嘗試增加相關資訊的說明或提示,幫助使用者更容易辨識資源對自己的可能幫助;對圖書館與教師的建議則包含未來可以盡可能增加館藏的曝光,以及讓對使用者修課可能有幫助的資源能更容易被教師應用於課程授課上。
In the research of information seeking behavior, most of the researches explored the situation in which users actively seek information. The situation of passively receiving information was relatively less, and there was the concept of this situation has been proposed in the past research, called 'Information Encountering', which pointed out that users will access useful resources by serendipitly, and it also pointed out that users have a variety of potential information needs, and the user's own prior knowledge can help users identify resources and determine the usefulness or helpness of resources. This study attempts to use the curriculum-related resources as a recommended project. By analyzing the existing curriculum information in the school system and matching the library collection records, the library collection inquiry platform is used as the basis, and the recommendation system is built on it. Uncovering the potential learning and information needs of college students related to curriculum courses, and recommending resources to help solve the above information needs through the recommendation system, inviting college students to use the recommendation system, and collecting data through questionnaires, interviews, etc. The analysis of the course materials attempts to expose the information needs of college students, and explores the possible impact of college students' prior knowledge on resource judgment and the feasibility of constructing the corresponding recommendation system. The study found that users' prior knowledge affects their judgment on recommended resources, and helps users identify the relevance of resources and courses in different subject areas. When users have experience of the course, they will tend to compare the difference of the recommended resources and course content; when the user does not have the experience of the course, the tendency is to analyze the difference between the subject and the scope of the course to compare, and at the same time, when the user has the experience of the course, it is relatively easy for users to identify and judge the usefulness, and the practical help to the course. On the other hand, regardless of whether the user has the experience of the course, they will tend to use resource items that are easy to understand, or that are not difficult to use, and that users will apply to the practice or Case studies on relevant resources are more interesting. The recommendation system built in this study can recommend resources that users think are helpful when facing users of different departments, and verify the system to analyze the course information for recommendation. The direction of construction does have its development feasibility. Finally, the research also found that when the system adopts Mind map like presentation, indeed able to attract the attention of the participants at the first time. According to the research results, the suggestions for the future recommendation system construction include the future consideration of the impact of personal prior knowledge on resource judgment, the integration of resource recommendations related to the curriculum, and the establishment of a recommendation system interface based on image presentation for attracting users' interest and interest, as well as explanations or tips on trying to increase the information on the resource presentation, to help users more easily identify the possible helpness of resources; the recommendations for libraries and teachers include the possibility of increasing the exposure of collection as much as possible in the future, as well as resources that may be helpful to the user, can be more easily applied by the teacher to the course.
URI: http://hdl.handle.net/11455/98384
文章公開時間: 2018-08-23
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