<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">ETI</journal-id><journal-title-group><journal-title>Education and Teaching Innovation</journal-title></journal-title-group><issn>2995-4894</issn><eissn>2995-4908</eissn><publisher><publisher-name>Art and Technology</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.61369/ETI.12388</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>智慧教育背景下的个性化学习—— 以初中英语教学为例</title><url>https://artdesignp.com/journal/ETI/2/10/10.61369/ETI.12388</url><author>关心</author><pub-date pub-type="publication-year"><year>2024</year></pub-date><volume>2</volume><issue>10</issue><history><date date-type="pub"><published-time>2024-10-20</published-time></date></history><abstract>英语教学是我们国家的一项重要而特殊的工作。在信息化的环境下，改革英语教学方法，构建新型的&amp;ldquo;线上&amp;rdquo;与&amp;ldquo;线下&amp;rdquo;相结合的教学模式，是实现学生英语个性化学习的一条重要路径。例如，通过微课课程，就能对学生进行因材施教，从而为学生提供个性化的自主学习资源库。对于学生来说，微课可以更好地满足他们对所学知识点的个性化学习，也就是按照需要进行学习，帮助他们发现自己的不足之处，并帮助他们将知识进行内化，这对于传统的课堂教学来说，是一种必不可少的补充和扩展。再比如说利用人工智能，人工智能技术的崛起正在为教育领域带来革命性的变革。特别是在个性化学习路径设计方面，人工智能技术展现出了前所未有的潜力和优势。</abstract><keywords>个性化学习,智慧教育背景,人工智能,初中英语教学</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1]Zhu Z T, Yu M H, Riezebos P. A research framework of smart education[J]. Smart learning environments, 2016, 3: 1-17.[2]Basham, James D., et al. "An operationalized understanding of personalized learning."Journal of Special Education Technology, 31.3 (2016): 126-136.[3] Bajaj R, Sharma V. Smart Education with artificial intelligence based determination of learning styles[J]. Procedia computer science, 2018, 132: 834-842.[4] Baig A, Cressler J D, Minsky M. The future of ai in education: Personalized learning and intelligent tutoring systems[J]. AlgoVista: Journal of AI &amp;amp; Computer Science,2024, 1(2).[5] Singh H, Miah S J. Smart education literature: A theoretical analysis[J]. Education and Information Technologies, 2020, 25(4): 3299-3328.[6] Chen Ting. Research on the design and application of smart classroom teaching mode under the background of "Internet + education"[D].Jiangsu Normal University,2017.[7] Shemshack A, Spector J M. A systematic literature review of personalized learning terms[J]. Smart Learning Environments, 2020, 7(1): 33.[8] Skinner B F. Methods and theories in the experimental analysis of behavior[J]. Behavioral and Brain Sciences, 1984, 7(4): 511-523[9] Spector J M. Smart learning futures: a report from the 3rd US-China smart education conference[J]. Smart Learning Environments, 2018, 5(1): 5.[10] Whalley B, France D, Park J, et al. Towards flexible personalized learning and the future educational system in the fourth industrial revolution in the wake of Covid-19[J]. Higher Education Pedagogies, 2021, 6(1): 79-99.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
