It is widely acknowledged that the acquisition of vocabulary is the foundation of learning English. With the rapid development of information technologies in recent years, e-learning systems have been widely adopted for English as a Second Language (ESL) Learning. However, a limitation of conventional word learning systems is that the prior vocabulary knowledge of learners is not well captured. Understanding the prior knowledge of learners plays a key role in providing personalized learning, which many studies suggest is a successful learning paradigm for vocabulary acquisition, one that aims to optimize instructional approaches and paces by catering to individual learning needs. A powerful learner profile model which can represent learner’s prior knowledge is therefore important for word learning systems to better facilitate personalized learning. In this article, we investigated various methods to establish learner profiles and attempted to determine the optimal method. To verify the effectiveness of personalized word learning supported by the proposed model, ESL students from several universities participated in this study. The empirical results showed that the proposed learner profile model can better facilitate vocabulary acquisition compared with other baseline methods.

中文翻译：

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大学生的个性化单词学习：一种基于配置文件的电子学习系统方法

众所周知，词汇学习是学习英语的基础。近年来，随着信息技术的飞速发展，电子学习系统已被广泛用于英语作为第二语言（ESL）的学习。但是，常规单词学习系统的局限性在于不能很好地掌握学习者的先验词汇知识。了解学习者的先验知识在提供个性化学习中起着关键作用，许多研究认为这是一种成功的词汇习得学习范式，旨在通过满足个人学习需求来优化教学方法和速度。因此，可以表示学习者先验知识的强大学习者档案模型对于单词学习系统更好地促进个性化学习非常重要。在本文中，我们研究了建立学习者档案的各种方法，并试图确定最佳方法。为了验证该模型支持的个性化单词学习的有效性，来自几所大学的ESL学生参加了这项研究。实验结果表明，与其他基准方法相比，该学习者档案模型可以更好地促进词汇习得。