在許多數位化教學工具當中,具備多元豐富性及高互動性之互動式電子白板(Interactive Whiteboard,簡稱IWB)成為一種重要的輔助工具,並普遍被使用於教學上。目前有許多相關文獻顯示在教學上使用IWB能夠有效地提升學生學習意願及增加課堂互動;此外,IWB能以有效的形式來紀錄教學現場的所有過程,進而以教學現場紀錄的視頻教學素材來做為補救教學之用,提供學生課後重覆學習的機會。在相關研究中也指出視頻化的學習會比純文字靜態的學習模式來得有效,但是在產出這一類視頻的補救教學素材時會面臨下列的問題:1. 不易產出具備重點標記的視頻;2. 影片數量龐大導致檢索及管理上的困難;3. 較難搜尋教學視頻片段中的重點;4. 缺乏協作學習及互動性;5. 影片資源的儲存空間限制。因此,本研究運用視頻補救教學提出一個解決方案,提供有效的視頻標記機制及檢索方式,找出使用者與標籤之間的關聯性,並透過本研究所提出的視頻補救學習機制之建立,來改善原有的視頻學習模式之不足。
Among digital teaching tools, interactive whiteboard (IWB) has become an important aiding tool, and it is widely used in teaching environment. There are many related literatures reveal that IWB can be effectively used to promote students’ learning will and increase in-class interaction on teaching. Besides, IWB can record all the process of live teaching scene in effective form, and this kind of video teaching can offering a re-learning opportunity for remedial learning. In the related research, it points out that video learning is more effective than text-only learning. However, some issues will be encountered while producing this kind of video content: 1. Hard to produce a video with tagging in real time. 2. Hard to manage videos in large volume. 3. Hard to search the cue points in the teaching videos. 4. Lack of collaborative learning and interaction. 5. Limited storing space for video resources. This research proposes a solution to offer an effective video tagging mechanism, and finds out the relation between tags by analyzing the user’s behavior. Based on the proposed mechanism, the encountered issues can be solved.