隨著網絡的發展、社會結構的改變,生活中的事物大多離不開網路,而學習也是,在非正式的網路學習中,通常學習者會自主選擇感興趣的學習內容來學習,要身為一個好的網絡學習者必須具備篩選過濾及彙整資料的能力,有此可知建立個人學習網絡的重要性。且不論哪一種學習方式,學習者都是很重要的影響因素,尤其隨著台灣人口逐漸高齡化,中高齡者也必須要與時俱進,學習使用電腦、手機、網絡和社群媒體等,學習建立屬於自己的個人學習網絡。本研究主要探討不同背景及思考風格的學習者,於Facebook上建立個人學習網絡的情形與知識分享成效是否有所差異。 研究結果顯示,在Facebook上建立個人學習網絡之情形方面,中高齡學習者管理及反思情形的表現較差,中高齡女性在篩選及閱讀資訊的表現優於中高齡男性;而思考風格方面,除了中高齡男性司法型思考風格高於女性外,也發現已退休的學習者其司法型思考風格強度較高,並且大多中高齡學習者的思考風格偏向行政型;而知識分享成效方面,中高齡女性的知識分享成效高於男性,另外Facebook使用頻率為影響個人學習網絡及知識分享成效的重要因素之ㄧ,個人學習網絡的建立情形也會影響知識分享成效,而中高齡學習者思考風格不會影響個人學習網絡建立情形及知識分享成效。
With the rapid development of the Internet and the change of social structure, life cannot be separated from the Internet, and learning is likewise. In informal e-learning, learners usually choose what they are interested in to learn. A good e-learner must have the ability to filter and aggregate information especially in constructing personal learning networks. Taiwanese population is gradually aging. More and more higher-aged people need to keeping up with the times, learn to use computers, mobile phones, Internet and social medias, etc. They also need to construct their own personal learning network. This research mainly explored whether learners with different backgrounds and thinking styles have different performance in knowledge sharing while constructing personal learning networks on Facebook. The results of the study revealed that in terms of constructing personal learning networks on Facebook, higher-aged learners perform poorly in the management and reflection. Moreover, higher-aged women are better than men in screening and reading information. In terms of thinking styles, elderly men is scored higher than women in judicial thinking styles. It is also found that judicial thinking styles is socred higher for retired learners, and most higher-aged learners tend towards executive thinking styles. In terms of knowledge sharing performance, higher-aged women are scored higher than men in knowledge sharing performance. Furthermore, the frequency of using Facebook is one of the important factors that affects personal learning networks and knowledge sharing performance. The construction of personal learning networks will also affect knowledge sharing performance. Moreover, thinking styles of higher-aged learners have no influence on the construction of personal learning networks and knowledge sharing performance.