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有效行動學習課程教學模式之設計與效益評估-以評量為中心的設計

Designing and Evaluating an Effective Instructional Model for Mobile Learning: Assessment-centered Model

摘要


行動學習已成為全球性的重要教育議題,本研究應用數位評量系統—「Graduated Prompting Assessment Module of the WATA system(GPAM-WATA)」,發展一以評量為中心的行動學習環境,並應用於國小五年級「校園植物分類」主題教學,GPAM-WATA中之教學性試題與教學性提示,可以引導學習者在校園真實情境中進行學習。本研究採準實驗研究設計,共142位國小五年級學童參與研究,學習者共分為三組,分別為控制組採用傳統資訊融入教學模式(n=47),實驗組A採用GPAM-WATA u-Learning system(n=44),實驗組B則採用一般行動學習模式(n=51),在四堂課的教學進行前後,分別進行「成就測驗前、後測」,在教學結束後,亦填寫「認知負荷量表」。研究發現,學習者在以評量為中心的行動學習環境,有顯著較低之認知負荷與顯著較佳之學習成就。

並列摘要


Mobile learning (ubiquitous learning, u-Learning) has become an important topic in the realm of education around the world. The present study applies the digital assessment system, Graduated Prompting Assessment Module of the WATA system (GPAM-WATA), to develop an assessment-centered u-Learning environment. GPAM-WATA is applied in teaching fifth graders the 'Categorization of Campus Plants' topic. The instructional items and prompts in GPAM-WATA guide students to learn on campus. Using the quasi-experimental design, the study involves 142 fifth-graders as participants. They are divided into three groups. The control group follows the traditional ICT-integrated teaching model (n=47), the experiment group A adopts GPAM-WATA u-Learning system (n=44), and the experiment group B involves the general u-Learning model (n=51). Before and after the 4-class instructions, all the participants take the pre-test and the post-test of an achievement test.' After receiving the instructions, they also fill out a cognitive-load scale. The study finds that in the assessment-centered u-Learning environment, learners have significantly lower cognitive load and significantly better learning achievement.

參考文獻


教育部( 2008 )。國民中小學九年一貫課程綱要。取自http://teach.eje.edu.tw/9CC2/9cc_97.php
教育部(2013)。迎接數位化學習時代─教育部規劃全面性的數位學習推動計畫。取自http://www.edu.tw/news1/detail.aspx?Node=1088&Page=18104&Index=&WID=3ee9c9ee-f44e-44f0-a431-c300341d9f77
教育部( 2014 )。「數位學習推動計畫」103 年起全面啟動。取自http://www.edu.tw/news1/detail.aspx?Node=1088&Page=22491&Index=1&WID=6635a4e8-f0de-4957-aa3e-c3b15c6e6ead
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Advanced Distributed Learning (ADL) Co-Laboratories. (2014). ADL mobile learning handbook. Retrieved from https://sites.google.com/a/adlnet.gov/mobile-learning-guide/basics

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