數理統計創新教學：資訊科技融入與數位學習網站實作之教學實踐歷程

數理統計是多數統計資訊學系學生深感學習困難的科目。本研究目的為使用R-SHINY程式套件進行統計計算模擬，透過資料視覺化幫助學生學習抽象的數學概念。研究對象為107學年度修課學生，實驗組學生除了傳統的講授方式外，並輔以電腦輔助教學法、合作學習教學法與海報發表教學法三種不同的創新教學策略進行教學，對照組則僅使用講授方式教學。研究結果顯示實驗組學生的學習成效優於對照組學生，而透過海報成果發表，藉由評分教師的提問，學生更能發現自己學習迷思。本研究並建構互動式數理統計數位學習網站，輔助同學線上學習，達成自主學習之目的。

關鍵字

R-SHINY ；資料視覺化；數位學習；數理統計

並列摘要

Students majoring in statistics typically consider mathematical statistics a difficult subject, with its the abstruse theories and low sense of accomplishment. This study applied R-SHINY programs in graphic drawing and statistical simulation to help students learn abstract mathematical concepts and enhance learning effectiveness through data visualization. Participants included students who took the course of mathematical statistics in the academic year of 2018, and they were divided into experimental and control groups. The experimental group was taught using the R-SHINY programs integrated into the conventional instructional method, while the control group was taught using only the conventional method. The results indicated that the presentation of dynamic graphics, led the experimental group to exhibit better learning; in addition, visualized presentations and explanations helped the students understand statistical theories, thus increasing learning effectiveness. The results also revealed that the experimental group had higher learning effectiveness than the control group. Further, through poster presentations, students were shown to learn statistical theories and programming simultaneously. Moreover, teachers' questions can help make students aware of their misconceptions about mathematical statistics, thereby achieving their learning goals.