人工智能及其在拉丁美洲高等教育中的应用

Anghelo Josué Guerrero-Quiñonez, Mirna Carolina Bedoya-Flores, Erick Fabián Mosquera-Quiñonez, Ángel Enrique Mesías-Simisterra, José Vicencio Bautista-Sánchez
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引用次数: 1

摘要

人工智能(AI)正在对拉丁美洲的高等教育产生重大影响。通过定性性质的书目方法,可以分析和理解人工智能在这一领域的范围。首先,它强调了拉丁美洲高等教育中的人工智能允许扩大受教育的机会,打破了地理和经济障碍。这是通过数字教育资源的可用性和参与在线学习计划的能力来实现的。此外,人工智能促进了学习的个性化,使教育过程适应学生的个性化需求。通过智能辅导系统和基于人工智能的教育平台,可以为每个学生提供和适应相关内容,并提供即时和个性化的反馈。人工智能还提高了高等教育的效率和质量。通过自动化管理和重复的任务,教育者可以腾出时间专注于更有意义的活动,比如课程设计和对学生的个人关注。此外,人工智能支持数据分析和教学报告,促进基于证据的决策。然而,人们认识到,在高等教育中使用人工智能会带来道德和隐私方面的挑战。有必要确保保护学生的个人数据,并解决人工智能系统开发和实施过程中的公平和透明度问题。总之,人工智能正在改变拉丁美洲的高等教育,提供机会、个性化、效率和质量。定性书目方法使我们能够了解人工智能在这一领域的范围,突出其积极影响和必须解决的挑战,以负责任的实施。
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Artificial Intelligence and its scope in Latin American higher education
Artificial Intelligence (AI) is having a significant impact on Latin American higher education. Through a bibliographic methodology of a qualitative nature, it has been possible to analyze and understand the scope of AI in this area. In the first place, it is highlighted that AI in Latin American higher education has allowed expanding access to education, breaking geographical and economic barriers. This is achieved through the availability of digital educational resources and the ability to participate in online learning programs. In addition, AI has promoted the personalization of learning, adapting the educational process to the individual needs of students. Through intelligent tutoring systems and AI-based educational platforms, relevant content can be offered and adapted to each student, as well as provide instant and personalized feedback. AI has also improved the efficiency and quality of higher education. By automating administrative and repetitive tasks, time is freed up for educators to focus on more meaningful activities, such as curriculum design and individual attention to students. In addition, AI enables data analysis and pedagogical reporting, facilitating evidence-based decision making. However, ethical and privacy challenges associated with the use of AI in higher education are recognized. It is necessary to ensure the protection of students' personal data and address issues of fairness and transparency in the development and implementation of AI systems. In conclusion, AI is transforming higher education in Latin America, providing access, personalization, efficiency and quality. The qualitative bibliographic methodology has allowed us to understand the scope of AI in this area, highlighting its positive impact and the challenges that must be addressed for its responsible implementation.
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