臉書目前是世界上最流行的社群網站，並已應用於合作式學習中。在合作式學習環境裡，一個良好且適合的學習夥伴可以協助學習者瞭解學習內容、分享知識、激發創造力和促進其它合作學習的效果。本研究為學習者在臉書開發了一套個人學習夥伴推薦系統，本系統也支援行動式合作學習。這套系統會根據學習需求自動收集朋友的檔案資料，如興趣與專業能力。而且，系統會利用蜜蜂演算法有效地尋找最佳的學習夥伴。我們會分析比較各種條件下的系統效能，接著使用科技接受模式和部分最小平方法來調查學習者接受LCRS進行學習活動的意願。我們得到兩種結果：第一，蜜蜂演算法改善搜尋的準確性並且優於其他方法。第二，系統設計特徵與臉書的採用對於學習者使用LCRS的意願有正向的影響。

Facebook is currently the world’s most popular social networking site, and it has been used in a number of collaborative learning applications. In a collaborative learning environment, a good and adaptive learning companion could help learners understand the learning content and share knowledge, as well as raise their creativity and facilitate the other beneficial effects of collaborative learning. In this study, an individual learning companion recommendation system (LCRS) is developed for learners on Facebook, and this system supports mobile collaborative learning. The system collects friends’ profile data automatically according to their learning needs, such as interests and professional abilities. Moreover, this system utilizes an Artificial Bee Colony (ABC) algorithm to effectively search for the optimal learning companion. We analyze system performance under various conditions, and then the technology acceptance model and partial least squares regression are used to investigate learners’ intention to accept the LCRS for learning activities. Two main findings are obtained, as follows: First, the ABC approach improves the accuracy of the search process and outperforms other methods. Second, both the system design characteristics and the usage of Facebook have positive influences on learners’ intention to use LCRS.

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