<?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">SSR</journal-id><journal-title-group><journal-title>Scientific and Social Research</journal-title></journal-title-group><issn>2661-4332</issn><eissn>2981-9946</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/ssr.v8i4.14818</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Exploration of Innovative Teaching Paths for AI-Enabled Big Data Technology Courses</title><url>https://artdesignp.com/journal/SSR/8/4/10.26689/ssr.v8i4.14818</url><author>YuHan,LiXin</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>8</volume><issue>4</issue><history><date date-type="pub"><published-time>2026-05-25</published-time></date></history><abstract>With the continuous development of China’s digital economy, big data technology has gradually become an important part of promoting industrial transformation and upgrading. The cultivation of big data talents will also exert a profound influence on China’s economic development. As a core approach to cultivating interdisciplinary data talents, the teaching mode of the Big Data Technology major is confronted with many problems. Teachers may try to introduce artificial intelligence (AI) technology into classrooms to provide new ideas for solving these problems. In view of this, this paper analyzes the innovation of AI-enabled teaching for Big Data Technology courses and puts forward several strategies for reference.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Jiang YT, Wang JX, Tang NN, 2026, Research on Case Teaching Mode of Data Science and Business Analytics — Taking Data Science and Big Data Technology Major as an Example. Achievements Collection of 2023 Annual Planning Projects of China Business Statistics Association (2nd Series), 80–84.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Liu HY, 2025, Research on the Training Path of Applied Talents for Data Science and Big Data Technology Major from the Perspective of New Quality Productive Forces. Industrial Innovation Research, 2025(19): 166–168.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Dang Y, 2025, Statistics and Analysis of College Students’ Employment Intention Based on Big Data Platform — Taking Big Data Technology Major as an Example. Office Automation, 30(20): 123–125.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Han LR, Lu KF, Li XZ, 2025, Construction of Dynamic Evaluation Model for Practical Teaching Under the 1+X Certificate System — Research on the Adaptation Between Practical Teaching Standards and Industry of Big Data Technology Major. Modern Vocational Education, 2025(29): 85–88.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Chen CF, Zhou KQ, Ou Y, et al., 2025, Research and Practice on the Construction of Data Science and Big Data Technology Major. Computer Education, 2025(10): 251–257.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Ma T, Zhang JF, 2025, Construction of an Innovative Model for College Students’ Mental Health Education Driven by the Synergy of AI and Big Data Technology. Journal of Shenyang University (Social Science), 27(5): 54–61.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B7" content-type="article"><label>7</label><element-citation publication-type="journal"><p>Zheng DC, 2025, Exploration and Practice on the Construction of Big Data Technology Major Under the Background of Artificial Intelligence. China Computer &amp; Communication, 37(18): 176–178.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B8" content-type="article"><label>8</label><element-citation publication-type="journal"><p>Li L, Yang JZ, 2025, Skill Competition Leading the Training of High-skilled Talents in Vocational Colleges — Taking Big Data Technology Major as an Example. Technology Wind, 2025(26): 142–144.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B9" content-type="article"><label>9</label><element-citation publication-type="journal"><p>Shi M, 2025, Research on the Quality Evaluation of Talent Training for Big Data Technology Major Group Under School-Enterprise Cooperation Based on AHP. China Computer &amp; Communication, 37(18): 242–244.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B10" content-type="article"><label>10</label><element-citation publication-type="journal"><p>Hou HZ, Dai Y, Wei W, 2025, Teaching Cases of Big Data Technology Major in the Sino-German Advanced Vocational Education (SGAVE) Project. Wisdom China, 2025(S1): 183–185.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B11" content-type="article"><label>11</label><element-citation publication-type="journal"><p>Wang RF, Cai ZS, Yi DR, 2025, Research on the Innovation of Curriculum System Construction for Data Science and Big Data Technology Major from the Perspective of Emerging Engineering Education. University, 2025(22): 123–126.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B12" content-type="article"><label>12</label><element-citation publication-type="journal"><p>Wang YY, 2025, Research on Practical Teaching Reform From the Perspective of Competition Empowerment — Taking Data Science and Big Data Technology Major as an Example. Journal of Shandong Technology and Business University, 39(4): 118–128.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B13" content-type="article"><label>13</label><element-citation publication-type="journal"><p>Zhu YC, 2025, Research on the Construction of Industry-Education Integration Base for Big Data Technology Major Under the Background of High-Quality Development. Quality and Market, 2025(7): 186–188.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B14" content-type="article"><label>14</label><element-citation publication-type="journal"><p>Liu XZ, Liu YP, Lu Bm, 2025, Construction of an Innovative Talent Training System for Big Data Technology Major Under the Background of “Artificial Intelligence + Emerging Engineering”. Henan Education (Higher Education), 2025(7): 57–58.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B15" content-type="article"><label>15</label><element-citation publication-type="journal"><p>Shen WW, Xiao ZP, 2025, Innovation and Practice of Major Construction Based on the Integration of “Post-Course-Competition-Certificate” — Taking Big Data Technology Major as an Example. Journal of Heilongjiang Ecological Engineering Vocational College, 38(4): 142–146.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
