摘要
隨著數位學習領域的發展，學者應用現代科技輔助與教育理論應用，造就數位學習領域研究主題的多樣化，其中，以問題導向學習模式為主的研究主題更是衍生出許多的應用，而數位教材的精緻化與學習概念的微型化，在問題導向學習模式中的導入，將能促進問題描述概念的重整與擴充。本研究藉由微型學習策略與問題導向學習模式的整合，幫助學生習得自我學習策略與自我反思能力，其中，本研究所提出的知識推播系統，能提供包含問題描述瀏覽、問題推論過程、提問、問題概念論述、問題概念整合以及問題概念回饋功能，且透過學習活動歷程的記錄，讓教學者也有機會能夠檢視學習素材、教學活動是否符合學習者的需求。本研究透過知識推播系統應用於程式設計課程的教學活動中，讓學習者與教學者能利用系統進行問題導向學習活動與整合微型學習策略，透過本系統建置的知識推播模組與自動化摘要模組，提升學生於程式設計課程的學習動機，更透過問卷調查結果，觀察與分析學習者是否透過此系統提昇其學習動機、學習意圖與學習成就感。
關鍵詞：問題導向學習、微型學習策略、知識推播、自動化摘要Abstract
With the development of the e-learning domain, researchers apply modern technology and learning pedagogy to achieve a diversity of e-learning research topics. Among them, the research based on Problem-based Learning (PBL) methodology fosters numerous research applications. Besides, the refinement of learning materials and the refined learning concept combined with problem-based learning methodology will assist the reform and expansion of problem description. Therefore, in order to develop a helpful teaching and learning assistance tool for both instructor and learner, this research has built a knowledge pushing system based on micro-learning strategy and problem-based learning pedagogy for supporting programming courses. It provides the functions of problem description browsing, problem reasoning, question form, problem concept explanation, problem concept combination and problem concept feedback. Additionally, the learners' learning portfolio can be retrieved and analyzed in the system for instructor to tune the teaching strategies. This research applies micro-learning strategies and problem-based learning pedagogy to knowledge pushing system for supporting programming courses. Besides, the automatic text summarization module provides the summarized learning materials for learners. In the process of problem-based learning activities with the assistance of the system, improvement is shown in learners' learning outcomes in programming courses. Through observation and analysis of the questionnaire results it has been illustrated how the system improves the learners’ self-learning mind and self-thinking ability.
Keywords: Problem-based Learning, Micro-learning Strategy, Knowledge-pushing, Automatic Text Summarization