The rapid advancements in online education have pointed to a new open learning approach using Open Educational Resources (OER). In this approach, educators and learners can freely access or redistribute educational resources that have been released online in the public domain under an open licence. Whereas this approach looks appealing in reducing learning costs, as well as in enhancing learning quality and facilitating knowledge sharing, several challenges might hinder the adoption of OER, such as locating and selecting the most appropriate resources among the thousands that are published and that are available online, and trusting them. This paper elaborates on those challenges and suggests an emerging technologies-based perspective for addressing the efficient inclusion of OER. To this end, this paper discusses how the integration of emerging yet essential technologies, such as Artificial Intelligence (AI) and blockchain, with big learning data and educational data mining algorithms could have a profound impact on enhancing OER-based learning and teaching. The dynamics of incorporating these technologies to solve several OER challenges are demonstrated through numerous examples, and the potential limitations are also discussed. The paper concludes with visions of the future, possible research challenges and directions.

在线教育的飞速发展指出了使用开放教育资源（OER）的一种新的开放学习方法。通过这种方法，教育者和学习者可以通过开放许可自由访问或重新分配已在公共领域在线发布的教育资源。尽管此方法在降低学习成本，提高学习质量和促进知识共享方面看起来很有吸引力，但一些挑战可能会阻碍OER的采用，例如在已发布和可用的数千种资源中定位和选择最合适的资源。在线，并信任他们。本文详细阐述了这些挑战，并提出了基于新兴技术的观点来解决OER的有效纳入问题。为此，本文讨论了新兴但必不可少的技术（例如人工智能（AI）和区块链）与大学习数据和教育数据挖掘算法的集成如何对增强基于OER的学与教产生深远影响。通过大量示例展示了采用这些技术来解决多个OER挑战的动力，并讨论了潜在的局限性。本文总结了对未来的展望，可能的研究挑战和方向。通过大量示例展示了采用这些技术来解决多个OER挑战的动力，并讨论了潜在的局限性。本文总结了对未来的展望，可能的研究挑战和方向。通过大量示例展示了采用这些技术来解决多个OER挑战的动力，并讨论了潜在的局限性。本文总结了对未来的展望，可能的研究挑战和方向。