1) Nowadays Artificial Intelligence is being used almost in every field. Consequently, the field of education has not gone unnoticed and has been impacted by AI as well. In education, AI is utilized to make various tasks, however, this paper is dedicated to AI-driven personalized learning in making the utopian educational environment. – Comment: analyze further \u201cOpen Learner Models (OLMs), represent a student’s knowledge, skills or resource requirements and they help teachers and students understand their performance and its assessment\u201d (R.Luckin,2017, par. 9) – Comment: Explain evidence(Remember to balance each example with a clear explanation of how it supports your thesis.)
2) \u201cThis data can be analyzed and used to create an OLM to: (1) help teachers understand their students\u2019 approach to learning to shape their future teaching appropriately, and (2) help motivate students by enabling them to track their own progress and encouraging them to reflect on their learning.\u201d- Comment: Explain evidence(Remember to balance each example with a clear explanation of how it supports your thesis.)
3) \u201cPerhaps the metaphor of a human tutor has run its course. While a human tutor often works one-on-one, for a specific duration, and in constrained spaces, interactive learning environments can be collaborative, omnipresent, and portable. Simply speaking, ILE have unique affordances that human tutors do not, and the next generation of systems should leverage those affordances to support learning anytime, anywhere, by anyone.\u201d – long quote not really explaining much
4) Before
\narguing on how AI-driven personalized learning would establish the utopian
\neducation environment it is vital to understand what is AI-driven personalized
\nlearning. AI-driven personalized learning – is a model of learning, where the
\nAI accustomed to students\u2019 learning pace, needs, and possibilities and gives a
\npersonalized plan for studying. Such a model provides a plan where the student
\nis engaged in the learning process while fulfilling the requirements of the
\nstudy plan. This affects not only the learners but the teachers who are being
\nfreed from most of the administrative tasks and given more time to dedicate for
\nstudents. – Support with evidence
5) The authors suggest that the ILE\u2019s are striving to achieve the same level as
\nthe personalized human tutoring. – citation needed
6) <\/span><\/span>\u201cIndeed,
\nmuch interactive learning environment (ILE) papers show improvements in
\nefficiency by demonstrating similar learning gains in a reduced amount of time
\n\u201c(Roll & Wyllie, 2016, par. 2) – Explain evidence(Evaluate your evidence in this section. Be sure you have included sufficient evidence to support each point and that you have thoroughly explained how each point supports your thesis)<\/span><\/div>\n7) Clarification of what is : utopian educational environment<\/span><\/div>\n8)<\/span>\u201cGamification,
\nleveraging AI for instructional purposes with significant benefits to the
\ninstructional quality, which is also an element of or integrates virtual
\nreality and 3-D technologies, in its different forms was discussed in other
\nstudies, which highlighted the benefits of simulation, team-viewer
\napplications, and gamification, closely related to VR and 3-D or even
\nleveraging the technologies to the pursuit of instructional effectiveness and
\nefficiency\u201d(<\/span>
\nL. Chen, P. Chen & Z. Lin<\/span>, 2020, p. 75274). As it is shown in the
\nstudy, the gamification enhances the efficiency and effectiveness by involving
\nthe student. – inappropriate citation, also no synthesis in this paragraph
8)<\/span>The next crucial aspect of the ideal education
\nenvironment is the high-level academic performance of the students which
\nreflects the success of the teaching plan and the credibility of the
\nassessments. Moreover, because academic performance is the indicator of
\nunderstanding the subjects, failure in it means failure to fulfill the
\nrequirements of the course. Nowadays in traditional schooling systems, there
\nare standardized tests for everyone, despite checking the knowledge of the
\nstudent it might cause to fiasco of unlocking the student\u2019s potential due to
\nunfair grading. To correct the problem of the unfair judgment of student
\nopportunities Luckin offers to strive for AI-powered assessment systems. By
\nmaking the assessments relevant with the good arranged learning plan for
\nstudent, in combination it could result in a high level of academic
\nperformance. This correlation is proven in the article of Luckin, the author
\nclaims that: \u201c<\/span>AI assessment systems would be able to demonstrate how a student deals
\nwith challenging subject matter, how they persevere and how quickly they learn
\nwhen given appropriate support. In addition, national AI assessment systems
\nwould also offer support and formative feedback to help students improve.<\/span>\u201d
\n.In long term, such AI assessments might exclude the cases where student
\nabsolutely fails the course. Therefore, by avoiding this situation, it provides
\nthe education where everyone passes the demands of the course which is one more
\nstep to reach utopia. – no synthesis in this paragraph and also explain evidence comment.
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