在学习环境中采用和使用智能数字技术的挑战,机遇和前景:代性审查
Siyabonga Mhlongo1, Khanyisile Mbatha2, Boitumelo Ramatsetse3
1Department of Applied Information Systems, University of Johannesburg, Johannesburg, South Africa.
Heliyon
|June 5, 2023
概括
智能数字技术正在改变教育,增强学习和教学. 这项研究使用复杂性理论构建了智能数字教育,探索其负担能力,挑战和包容性,丰富的学习体验的潜力.
科学领域:
- 教育技术的教育技术
- 数字学习环境 数字学习环境
- 教育中的复杂性理论.
背景情况:
- 智能数字技术越来越多地被采用在教育中,从传统的"泥"模式转变.
- 数字化为无处不在的教学和学习提供了新的可能性,需要一个框架来理解其复杂性.
- 这项研究探讨了数字化教育的不断变化以及其对学习体验的影响.
研究的目的:
- 用复杂性理论和代审查方法来框架智能数字教育的研究.
- 探索数字化教育的负担能力,挑战和复杂性.
- 推进关于数字化如何促进包容性和丰富传统学习环境的讨论.
主要方法:
- 采用了一种包含9个步骤的代审查研究方法.
- 复杂性理论被用作一个框架来分析智能数字教育系统中的相互作用.
- 这项研究涉及技术支持和技术增强的学习环境的多个话语.
主要成果:
- 出现了四大主题,说明了数字化教育中各种技术的相互作用.
- 他们强调了数字化带来的优势,如多式联络,异步和新的参与形式.
- 讨论了数字化教育的主要挑战和复杂性,以及其包容性潜力.
结论:
- 数字技术彻底改变了知识构建和学习范式,扩展了传统的教育环境.
- 数字化提供了显著的负担能力,可以增强整体的教育经验.
- 未来的研究应该专注于公平,数字化教育的综合计划,以促进认知发展.
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