DESIGN OF AN EASY-TO-USE MOBILE AUGMENTED REALITY LEARNING SETTING BY MEANS OF A CONJECTURE MAP

Luca Moser
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Abstract

Despite the positive effects of mobile augmented reality (MAR)-tools for learning, MAR-tools are not commonly used in classrooms. The scientific discourse identified a lack of concepts that guide the practical application of mobile augmented reality (MAR)-tools in education. Teachers often feel insecure when designing and applying digital learning settings and therefore need tools and concepts to support them. The present contribution outlines how to develop an easy-to-use mobile augmented reality learning setting (MARLS). Thus, a MARLS to foster artificial intelligence (AI)-literacy is developed and studied to explore what makes MARLS easy-to-use. AI-literacy serves as an exemplary topic. It appears to be suiting because MAR-technology is based on AI-systems and hence allows students to experience a positive form of human-AI-interaction first headedly. The educational design research is conducted by means of a conjecture map to enable the concurrent investigation of learning, teaching and its interdependence. Derived from the high-level conjectures, (I): AI-literacy is a set of competences, (II): a digital learning environment is crucial to foster it, (III): a good MARLS considers usability, user centeredness, conscious application, basic learning theories and cognitive load, the MARLS is developed. The MARLS and its conjecture map lay ground for the yet to follow measure and improvement of the learning design.
利用猜想图设计一个易于使用的移动增强现实学习设置
尽管移动增强现实(MAR)工具对学习有积极影响,但MAR工具在课堂上并不常用。科学论述发现缺乏指导移动增强现实(MAR)工具在教育中的实际应用的概念。教师在设计和应用数字化学习环境时往往感到不安全,因此需要工具和概念来支持。目前的贡献概述了如何开发一个易于使用的移动增强现实学习设置(MARLS)。因此,开发和研究了培养人工智能(AI)读写能力的MARLS,以探索使MARLS易于使用的原因。人工智能素养是一个典型的话题。这似乎很合适,因为人工智能技术是基于人工智能系统的,因此可以让学生首先体验一种积极的人类与人工智能互动形式。教育设计研究采用猜想图的方法,对学与教及其相互依存关系进行并行研究。基于高层次的推测,(I):人工智能素养是一系列能力,(II):数字化学习环境对培养它至关重要,(III):一个好的MARLS考虑可用性、以用户为中心、有意识的应用、基本的学习理论和认知负荷,MARLS被开发出来。MARLS及其猜想图为今后学习设计的测量和改进奠定了基础。
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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