本研究以國立教育廣播電臺Channel+網站為案例，該網站係以線上策展與學習課程為概念進行設計，並以網站Podcast隨選收聽之方式提供民眾進行終身學習。透過在該網站上導入網路流量分析工具Google Analytics (GA)，並結合事件追蹤碼(Event tracking code)及多維度分析，以了解其服務情形、學習者背景及對學習內容的喜好。
本研究分析了案例網站2020年1月至12月之數據(共計1,227,295收聽次數、100,207位收聽使用者)，並與2019年1月至12月(共計964,778收聽次數、79,273位收聽使用者)的數據進行比較，以由淺入深的分析，實際探究GA相關數據所隱含的有效資訊。
依本研究之分析結果，發現不同學習內容的學習者背景均有所不同，亦有不同的學習行為，而學習資源被運用之績效也有所不同。主要結論與建議如下：
一、案例網站中，親子節目確實可以吸引育兒階段的女性與孩子進行共聽，建議持續製作精緻且適合親子的節目內容，並開發適合行動裝置收聽之相關功能及適時進行行銷推廣。而語言學習節目，則建議可持續開發德語、泰語及越南語等較少有的學習資源，而日語、英語等過於飽和的學習資源則應汰弱留強，以有效吸引學習者。
二、節目內容製作時應依不同內容學習者之學習目的，進行內容與課程設計，並製作簡短精緻的學習內容，以減輕學習者的學習負擔、提升其學習動機。另透過與相關機構或藉由社群媒體，針對不同內容學習者精準行銷，應可有效提升案例網站能見度與服務績效。
三、可藉由結合使用者瀏覽記錄，主動推薦學習者感興趣之內容，或透過不同學習內容間的互相推薦機制，讓使用者能觸及更多案例網站的不同內容，引導學習者持續學習，同時提升學習資源之運用度。
四、透過收聽次數、使用者之成長或衰退情形將語言節目進行分群，並搭配新舊使用者消長情形、學習者停留時間進行分析，可大致區分不同分群節目之差異，並初步確認各分群節目應調整或汰換之策略。
本研究驗證了終身學習資源網站透過運用GA進行深入與多維度分析後，可獲得評估網站績效、學習者背景與學習資源內容調整等相關有意義之資訊，相關終身學習資源網站可運用此簡易與低成本之方式進行分析評估，以持續改善並提升民眾學習意願，亦能初步了解使用Podcast網站服務學習者的背景與喜好情況。

This study used the Channel+ website of the National Education Radio as a case study. The website provides online exhibition and courses for lifelong learning by means of on-demand podcast. Through the integration of the web traffic analysis tool Google Analytics (GA) on the website, combining with event tracking code and multi-dimensional analysis, the researcher could understand the service situation and learner background and preferences for learning content on the channel.
This study analyzed the data of the case website from 2019 to 2020, including 964,778 events and 79,273 users in 2019 and 1,227,295 events and 100,207 users in 2020. User background and using behaviours were analyzed. Furthermore, specifically for the popular language programs, the data of the two years was compared to find patterns of growth and decline in the number of listenings. The language programs were divided into groups based on the user frequency, the growth or decline of users, and the average length of use. The groups were analyzed to explore possible producing and marketing strategies.
The results found that users of different program categories have different backgrounds and learning behaviours. The main conclusions and recommendations are as follows:
1.In the case website, parent-child programs can attract women and children in the parenting stage to listen together. They prefer to use mobile devices. It is recommended to continue to produce exquisite and suitable parent-child program, and develop convenient functions for mobile device listening. For language learning programs, it is recommended to continue to develop rare learning resources such as German, Thai, and Vietnamese. The number of users in these languages is increasing. For those languages that have over-saturated learning resources elsewhere such as Japanese and English, programs with fewer users were identified and might be eliminated.
2.The content of the program should be designed according to the learning objectives of the different types of learners. Short and exquisite learning content should be produced to reduce the learning load of the learners and enhance their learning motivation. In addition, through cooperation with related organizations or through social media, accurate marketing to learners of different programs effectively improves the visibility and service performance of the case website.
3.By combining user browsing records to actively recommend programs that learners might be interested in, or through a mutual recommendation mechanism across programs, users can be exposed to various program and sustain lifelong learning. At the same time, improve the utilization of learning resources.
4.The language programs are grouped according to the number of listening times and the increase and decrease of users, and the increase and decrease of new and old users, as well as the staying time of learners, are analyzed. We can roughly distinguish the differences between different groups of programs, and understand the strategies that each group of programs should adjust or replace.
This research verifies that GA can be used to obtain relevant and meaningful information from lifelong learning resource websites. Accordingly, researchers can evaluate website performance and learner background and adjust content through in-depth and multi-dimensional analyses. Related lifelong learning resource websites can use this simple and low-cost method to continuously improve user’s satisfaction. It also provides a preliminary understanding of the background and preferences of learners using podcast website services.

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