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A Generic Model for the Group Formation Problem Using Constraint Logic Programming

机译：使用约束逻辑编程的组形成问题的通用模型

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For collaborative learning to be successful, the instructor must carefully plan the formation of student groups. Typically, a teacher uses a set of conditions inferred from certain student parameters such as individual proficiency, learning and thinking styles, team-related traits and personality traits. While all of these parameters are instructor-driven, it is also favorable to get the teammate preferences of the students. Based on this, an instructor strategy can thus be generalized as an assignment problem that satisfies the most number of predetermined conditions based on these parameters and the most number of teammate preferences. In this paper, the generic model was implemented using constraint logic programming. Cohorts produced are evaluated based on the parameter constraints satisfied and on the number of teammate preferences satisfied. As such, the study demonstrates not only the feasibility of applying Constraint Logic Programming in the field of computer-supported group formation but also demonstrates that an instructor strategy can both include parameters decided by the instructor and teammate preferences from students.
机译：对于成功的合作学习，教练必须仔细规划学生团体的形成。通常，教师使用从某些学生参数推断的一套条件，例如个人熟练程度，学习和思维方式，团队相关的特征和人格特征。虽然所有这些参数都是教练驱动的，但也有利于获得学生的队友偏好。基于此，因此，基于这些参数和最多的队友偏好，指导员策略可以作为满足最多数量的预定条件的分配问题。在本文中，使用约束逻辑编程实现了通用模型。根据满足的参数约束和满足的队友偏好数量评估生成的群组。因此，该研究不仅展示了在计算机支持的组形成领域应用约束逻辑编程的可行性，而且还表明了教师策略可以包括由教师和学生队友偏好决定的参数。

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