Most novice teachers and even some experienced teachers can lack appropriate tools for designing teaching strategies that ensure the quality of education. The ability of working in teams is crucial in educating professionals. The literature proves that social relations influence the performance of teams. For instance, the team cohesion is directly related with its performance. In this paper, we have developed an agent-based tool for assisting teachers in simulating their teaching strategies to estimate their influence on the group sociometrics like cohesion, coherence of reciprocal relations, dissociation, and density of relations. The experiments with nine scenarios in disciplines of computer science, electronic, psychology, business, tourism, and renewal energies with 239 students and 6 teachers including experienced and novice ones show that its underlying agent-based framework can adapt to different disciplines obtaining similar outcomes to the real ones. We learned that the tool was especially reliable in predicting the density of relations and the cohesion, being the latter one probably the most relevant due to its known relation with academic performance. In addition, we also learned that it was difficult to assess the prediction quality of the dissociation in higher education, due to the usual low amounts or absence of reciprocal rejections in the students’ groups in this educational stage. The presented agent-based tool is publicly distributed as open source for facilitating other researchers in following this research line.

中文翻译：

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基于Agent的模拟器应用于教学过程，以预测高等教育的社会计量指标

大多数新手老师，甚至是一些经验丰富的老师，都可能缺乏设计教学策略以确保教育质量的适当工具。团队合作的能力对于培训专业人员至关重要。文献证明，社会关系影响团队的绩效。例如，团队凝聚力与其绩效直接相关。在本文中，我们开发了一种基于主体的工具，可以帮助教师模拟他们的教学策略，以评估他们对群体社会计量学的影响，例如凝聚力，相互关系的连贯性，分离性和关系密度。在计算机科学，电子，心理学，商业，旅游，239名学生和6名教师（包括经验丰富和新手）的更新活力表明，其基于主体的基础框架可以适应不同学科，从而获得与真实学科相似的结果。我们了解到，该工具在预测关系的密度和内聚力方面特别可靠，由于已知的与学习成绩的关系，后者可能是最相关的。此外，我们还了解到，由于在此教育阶段学生群体通常人数较少或互不排斥，因此很难评估高等教育的解体预测质量。提出的基于代理的工具作为开放源公开发布，以方便其他研究人员遵循此研究路线。