Learner Model for Adaptive Scaffolding in Intelligent Tutoring Systems for Organizing Programming Knowledge
Learner Model for Adaptive Scaffolding in Intelligent Tutoring Systems for Organizing Programming Knowledge
复制标题
用于组织编程知识的智能辅导系统中自适应脚手架的学习者模型
DOI:
10.1007/978-3-030-78361-7_6
复制
发表时间:
2021
期刊:
影响因子:
--
通讯作者:
T.
中科院分区:
文献类型:
--
作者:
Koike;K.;Fujishima;Y.;Tomoto;T.;Horiguchi;T.;and Hirashima;T.
Learner models are constructed from learner understanding states regarding learning materials, obtained by observing learner behaviors. A learner model collects information for adaptive tutoring and uses this information to determine system actions such as hints, problem presentations, and explanations appropriate to learner understanding. A learner model thus plays an essential role in intelligent tutoring systems (ITSs). Our previously developed ITSs have adopted a simple learner model that considers once-solved problems as learner-acquired solutions for problem solving. However, such models cannot grasp learner proficiency for solutions, which is an important aspect of constructing learner models because learners often make problem-solving mistakes despite having already learned the solution. In such situations, it is effective for an ITS to apply scaffolding based on learner proficiency regarding the solution. However, excess scaffolding decreases comprehension, a phenomenon known as the “assistance dilemma.” A learner model that adaptively scaffolds based on analysis of learner proficiency in solutions can effectively mitigate the assistance dilemma. In this study, we develop and evaluate an ITS with a learner model that considers learner proficiency in solutions. Experimental results indicate that the developed learner model can reduce total feedback without changing learner comprehension.
DOI:
10.1007/3-540-55606-0_11
发表时间:
1992
期刊:
--
影响因子:
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作者:
T. Hirashima;A. Kashihara;J. Toyoda
通讯作者:
J. Toyoda