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以微世界學習策略為調節變項探討期貨學習成就的影響因子

Factors Affecting the Learning Achievements of Futures: Taking the Microworld Learning Strategy as a Moderator

Abstracts


歷經了1997年的亞洲金融風暴、2008年的金融海嘯、乃至2020年迄今未止的新冠肺炎疫情,國際金融市場遭遇了極大的波動,投資人也賠損慘重,然而,期貨多空交易的特性,恰可使投資人進行避險交易,是故,有必要學習期貨。本研究採準實驗設計將受試者分為實驗組與控制組;實驗組有44位,進行微世界學習法;控制組有29位,實施傳統學習法。在研究模型中,將學習動機、態度列為自變項,學習策略為調節變項以探究期貨學習成效;結果顯示動機、態度、以及動機與學習策略交互作用項對學習成效有顯著正向影響。透過微世界學習策略,學習者親身體驗到總體經濟波動對期貨交易的影響,從而產生學習興趣與切身感,進而培養出問題解決的技巧。最後,也提出了對欲進行情境式學習者的建議。

Parallel abstracts


The global financial market has fluctuated considerably during the 1997 Asian financial turmoil, the financial tsunami in 2008, and the COVID-19 that has not stopped since 2020, investors suffered great losses. Nevertheless, futures can be traded in long and short transactions to conduct hedging in the financial market, thus, learning related to futures is necessary. A quasi-experimental design approach is taken and divides participants into two groups. The experimental group with forty-four subjects adopted the microworld learning strategy, and the conventional learning strategy was applied to the control group with twenty-nine subjects. This study uses learning motivation and attitude as explanatory variables, and learning strategy as a moderator to probe the learning achievements. The results reveal that motivation, attitude, and interaction between motivation and microworld learning strategy have significant positive effects on learning achievements. The microworld learning strategy provides students with the context of learning by doing. Through the microworld, learners can interact with the financial market, thereby comprehending the effect of macroeconomic fluctuations on futures trading, causing them to perceive learning as joyful and relevant and cultivating their problem-solving skills. The findings of this study also offer some suggestions for those who want to conduct contextual learning activities.

References


Huang, H., Hwang, G. J., & Chang, S. C. (2021). Facilitating decision making in authentic contexts: an SVVR-based experiential flipped learning approach for professional training. Interactive Learning Environments. 1-17. 10.1080/10494820.2021.2000435.
李其展(2020)。量化寬鬆(QE)是什麼?對經濟的影響有多大?。取自:https://is.gd/KQyjAd,日期:2020/07/08。
Bandura, A.(1991).Social cognitive theory of self-regulation. Organizational Behavior and Human Decision Processes, 50(2), 248-287.
Bandura, A., & Cervone, D. (1986). Differential engagement of self-reactive influences in cognitive motivation. Organizational Behavior and Human Decision Processes, 38(1), 92-113.
Chang, C. Y., Kao, C. H., Hwang, G. J., & Lin, F. H.(2020). From experiencing to critical thinking: A contextual game-based learning approach to improving nursing students’ performance in Electrocardiogram training. Educational Technology Research and Development, 68, 1225-1245.

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