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The Era of Artificial Intelligence in Malaysian Higher Education: Impact and Challenges in Tangible Mixed-Reality Learning System toward Self Exploration Education (SEE)

机译:马来西亚高等教育中人工智能的时代:有形混合现实学习体系对自我勘探教育的影响与挑战(见)

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Artificial Intelligence (AI) is the creation of a smart machine that has human behaviour and response. AI in the education sector is able to interact, assist, and guide students through Self-Exploration Education (SEE) in Self Determined Learning (SDL) or Heutagogical technique, such as current, but semi-automatic learning systems. Malaysian higher education institutions are forced to adapt to such a radical change in order to stay competitive and fulfill their stakeholder needs. Everyone is born as a genius, with curiosity to explore the environment through experiments. This study examines the effect of SDL on SEE in Tangible Mixed-Reality Learning System until 2030. It does that under two different lenses: First, the effect on the value proposition and the business models of the SDL. Second, it identifies hurdles for the implementation and draws strategic implications for the SDL Tangible Mixed-Reality Learning System. However, in practice, SEE is still very much focused on spreading facts rather than encouraging personal exploration. Conducting exploration of learning in the classroom can be complicated for adult learning or andragogy and is limited by virtue, money and work infrastructure. But what if we can create a middle ground between learning and fiction, the world in which adults learn and explore in ways that may be impossible in real life but still true to the transfer of knowledge? The project is to craft an imaginative and accessible tool to help adults develop scientific minds and practices through self-exploration or Do-it-yourself DIY with a mixed reality learning system that empowers adults to know the invisible and investigate hard through exploration. By 2030 the likeliest scenario is that fully Self-Exploration is solely available for particularly high-value use cases, affecting the value proposition toward provision of education services, an increase of stakeholder and value-centric value propositions fostered by continuous interactions between the Heutagogical technique and the stakeholder.
机译:人工智能(AI)是创建具有人类行为和反应的智能机器。教育部门的AI能够通过自我确定的学习(SDL)或Heutagogical技术(例如半自动学习系统)通过自我探索教育(见)互动,协助和引导学生。马来西亚高等教育机构被迫适应这种激进的改变,以保持竞争力和履行其利益相关者的需求。每个人都是天才,好奇心,通过实验来探索环境。本研究介绍了SDL对参见有形混合现实学习系统的影响,直到2030年。它确实在两个不同的镜头下:第一,对价值主张和SDL的商业模式的影响。其次,它确定了实施的障碍,并为SDL有形混合现实学习系统提出了战略影响。但是,在实践中,看到仍然非常专注于传播事实而不是鼓励个人探索。在课堂上进行学习的探索可能对成人学习或安排和Andragogy具有复杂的,并且受到德形,金钱和工作基础设施的限制。但是,如果我们能够在学习和小说之间创造中间地位,那么成年人在现实生活中可能不可能探索的世界,仍然是真实的,那么呢?该项目是制作富有想象力和可访问的工具,以帮助成人通过自我探索或自我探索的科学思想和习俗,与自己的混合现实学习系统,使成年人能够通过探索来了解不可见的并努力调查。到2030年,最糟糕的情景是完全自我探索仅适用于特别高价值的用例,影响提供教育服务的价值,增加利益相关者和以价值为中心的价值主张,其促成了一次性技术之间的持续相互作用。和利益相关者。

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