Enhancing the Credibility of the Decision-Making Journey Through Serious Games Learning Analytics

Louis Doru Havriliuc, Gianita Bleoju, A. Căpățînă
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Abstract

This chapter proposes a specific learning system and a combined method to devise the learning analytics component as an envisioned solution to inform the development of other digital learning resources which are built for meeting specific, predefined learning objectives. The authors acknowledge the critical challenges of distinguishing between decision making and decision taking on the outcomes of learning. The ambition is to assess learning performance by means of unstructured interviews with participants using a digital marketing simulation game and how this has helped them attain job success working on real digital marketing projects. The authors expect that the consequences of decisions taken on real or realistic business conditions provided by a simulated learning environment should enrich the learning experience with insights (influences, constructs, and variables), unstructured knowledge representation, and rule-based decisions that learners will utilize and be alert and react to in real markets.
通过严肃游戏学习分析提高决策过程的可信度
本章提出了一个特定的学习系统和一种组合方法来设计学习分析组件,作为一个设想的解决方案,为其他数字学习资源的开发提供信息,这些资源是为满足特定的、预定义的学习目标而构建的。作者承认,在学习结果上区分决策制定和决策承担是一项重大挑战。目标是通过使用数字营销模拟游戏对参与者进行非结构化访谈来评估学习表现,以及这如何帮助他们在真正的数字营销项目中获得工作成功。作者期望,在模拟学习环境提供的真实或现实的商业条件下做出的决策的结果,应该通过洞察(影响、结构和变量)、非结构化知识表示和基于规则的决策来丰富学习经验,学习者将在真实市场中利用这些决策,并对其保持警惕和反应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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