【摘要】 学习者画像是基于现有学习者的学习行为投入调查，对学习者进行细分后，针对学习者的个性特点实施智能化推送。创建学习者画像可以有效帮助学习者进行学习行为投入设计和学习策略决策，可以更好地了解学习者的需求和期望。以学习通在线平台上提供的学习者学习行为投入数据为依据，以参与、坚持、专注和主动性为主要测评维度。根据学习者的最终综合成绩采用K-Means聚类分析法对其分类，划分出四类学习群体画像，依据学习者群体特点不同提出不同学习策略。研究得出，学习者的最终综合成绩与学习行为投入成正相关，不同的学习行为投入程度会导致综合成绩发生变化。因此，在线教育信息平台可以通过画像技术深刻、细致及全面地刻画学习者行为，对学习者作出客观公正的评价，针对学习者个体特点推送精准的学习内容，从而多维度地提高学习者的学习成绩。更多还原

【Abstract】 Based on the investigation of current learners’ learning behavior engagement, learner profile can perform a detailed analysis of these learners and implement intelligent push according to the learners’ personality characteristics. Creating learner profile can effectively help learners to design their learning behavior engagement and make decisions in learning strategy and also assist teachers in better understanding learners’ needs and expectations. In our study we based on the input data of learners’ learning behavior engagement provided by the online platform of Chaoxing, and took participation, persistence, concentration and initiative as the main evaluation dimensions. Based on the learners’ final comprehensive academic achievements, we adopted the K-means clustering analysis method to classify these learners, and created four types of learner profiles. Moreover, based on the characteristics of learner groups we proposed different learning strategies. The results showed that the learners’ final comprehensive academic achievements were positively correlated with their learning behavior engagement, and different degrees of their learning behavior engagement led to the changes in their comprehensive academic achievements. As such, the online education information platform can depict learners’ behaviors in a profound, detailed and comprehensive way through profile technology, make objective and fair evaluation of learners’ academic achievements, and push accurate learning content according to learners’ individual characteristics, so as to improve learners’ academic achievements in multiple dimensions.更多还原