習慣領域深智慧學習態度量表編制

Construction of an Instrument to Measure Learning Attitudes by Principles for Deep Knowledge of Habitual Domains

本研究最主要目的是根據習慣領域理論的三大工具箱之ㄧ的九個獲取深智慧原理為理論架構，編制深智慧學習量表。量表包含九個面向，每一個面向有5個題目，共有45 個題目。本量表經過統計分析之後，結果顯示具備表面效度、內容效度、同時效度以及內部一致性信度。期待未來研究可以蒐集大量資料進行路徑分析以及測試建構效度，然後可以利用這個問卷在相關的實際運用上。

In this paper， we introduce the inventory to evaluate learning attitudes based on nine principles for deep knowledge， one of the three Habitual Domains Theory tool boxes. This questionnaire includes nine factors with 5 items per each， and 45 questions in total. Results indicated that this instrument proved to have the values of face， content and concurrent validity and internal consistency reliability. Further research is suggested to gather wealthy data to identify the theory by path analysesand to test construct validity， and then it can empathize practical implications of this instrument.