【作 者】：
董晓辉， 杨晓宏， 张学军
【关 键 词 】：
自适应学习技术；自适应学习系统；应用模型
【栏 目】：
学习环境与资源
【中文摘要】：
自适应学习技术具有改变游戏规则、促进学生个性化学习的潜力，但目前仍处在研究、开发及试点项目阶段。因此，有必要对自适应学习技术及其应用进行深入分析，以期对未来自适应学习技术的研究和应用提供借鉴。本研究通过内容分析法，对国内外2000年至2015年自适应学习技术相关的重要文献进行了梳理和分析，研究结果对自适应学习技术是实现个性化学习的有效途径提供了重要依据，同时发现：自适应学习技术涉及广泛，但应用领域基本趋于集中，对支持网络学习者情感的研究相对较少，视线追踪技术、情感计算技术与多种技术的结合以及教育大数据的应用将为学习者提供更精准、更智能的个性化学习服务。
【英文摘要】：
Though adaptive learning technology has potentials to change the rules of the game and promote students' personalized learning, it is still at the stage of research, development, and pilot projects. Therefore, it is necessary to analyze adaptive learning technology and its application deeply in order to provide some references for the future research and application of adaptive learning technology. Through content analysis, this paper analyzes the important literature at home and abroad from 2000 to 2015 on adaptive learning technology. The results indicate that adaptive learning technology helps to realize personalized learning. It is also found that adaptive learning technology can be used widely but its applications are relatively limited. Fewer researches are about how to support the emotions of online learners. Eye tracking, the combination of emotional computing and various technologies and the application of big data in education will provide a more accurate, intelligent personalized learning for learners.