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Gamification to avoid cognitive biases: An experiment of gamifying a forecasting course

机译:避免认知偏差的游戏:赌展预测课程的实验

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摘要

In their daily lives, people are confronted with situations where they need to form a schema of possible future scenarios and the likelihood of them occurring, be it about climate change, economic up- or downturn, or even the potential success of a romantic date. Be these issues of mundane or universal importance, this judgmental forecasting poses people with a difficult pervasive cognitive challenge. Commonly, judgmental forecasting is taught in forecasting courses syllabi, and the pedagogy surrounding it is challenging. However, gamification and game-based learning have risen as promising tools to simulate different kinds of scenarios and stimulate cognitive problem solving. This study investigates the effects of a gamified application with points, levels, challenges, storytelling and leaderboard for teaching judgmental forecasting by conducting a 2 x 2 between-subjects experiment (treatments: i) read: yes vs no, and ii) gamification: yes vs no), with a sample of 285 students of a School of Electrical and Computer Engineering and a Business Administration Department. The findings indicate that the gamified application improved learning outcomes regarding the heuristics and biases that affect judgmental forecasting by almost 15%, supporting the use of gamification in forecasting education.
机译:在他们的日常生活中,人们面对了他们需要形成可能的未来情景的架构以及它们发生的可能性的情况,以及关于气候变化,经济上涨或低迷的可能性,甚至浪漫日期的潜在成功。成为普通或普遍重要性的这些问题,这一判断预测造成了困难的普遍认知挑战的人。通常,在预测课程教学课程中教授判断预测,并且周围的教育学是挑战性的。然而,基于游戏和基于游戏的学习已经作为有前途的工具来模拟不同类型的情景并刺激认知问题解决。本研究调查了赌博应用与积分,水平,挑战,讲故事和排行榜的影响,通过进行2 x 2在对象实验(治疗方法:I)之间进行2 x 2来教学判断预测:是VS No和II)Gamification:是的vs no),具有285名电气计算机工程学院和工商管理部门的样本。调查结果表明,游戏应用改善了关于影响判断预测的启发式和偏差的学习结果,近15%,支持在预测教育中使用赌博。

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