Improving learning experiences in software engineering capstone courses using artificial intelligence virtual assistants

被引:15
作者
Gonzalez, Luis A. [1 ]
Neyem, Andres [1 ]
Contreras-McKay, Ignacio [1 ]
Molina, Danilo [1 ]
机构
[1] Pontificia Univ Catolica Chile, Comp Sci Dept, Avda Vicuna Mackenna 4860, Santiago, Chile
关键词
artificial intelligence; chatbot; lessons learned; recommender systems; software engineering education; MODEL;
D O I
10.1002/cae.22526
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Students of Software Engineering Capstone Courses face situations and challenges that grant them valuable experiences. However, as this knowledge is acquired through real-life exposure, it is difficult to transmit it across different generations. To deal with this problem, it has been proposed that students record their learnings through a lesson learned model. But the question of how future students can best benefit from these records remains unanswered. This study addresses this problem through the use of Artificial Intelligence (AI) Virtual Assistant combined with a recommender system. Artificial Intelligence Virtual Assistants, as conversational chatbots, are a manifestation of AI via the simulation of conversation with human users. The technology has the potential to provide personalized service to a range of stakeholders. Thus, we seek to move this trend forward by now pushing these capabilities into the field of higher education. Consequently, we aim to assist software engineering students by leveraging collective knowledge to enhance learning experiences.
引用
收藏
页码:1370 / 1389
页数:20
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