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Feasibility and usability of MentorPal, a framework for rapid development of virtual mentors
Journal of Research on Technology in Education ( IF 4.5 ) Pub Date : 2020-07-22 , DOI: 10.1080/15391523.2020.1771640
Benjamin D. Nye 1 , Dan M. Davis 1 , Sanad Z. Rizvi 1 , Kayla Carr 1 , William Swartout 1 , Raj Thacker 1 , Kenneth Shaw 2
Affiliation  

Abstract

One-on-one mentoring is effective for helping novices with career development. However, traditional mentoring scales poorly. To address this problem, MentorPal emulates conversations with a panel of virtual mentors based on recordings of real STEM professionals. Students freely ask questions as they might in a career fair, while machine learning algorithms respond with best-match answers. MentorPal is researching rapid development of new virtual mentors, where training data will be sparse. In a usability study, 31 high school students reported (a) increased career knowledge and confidence, (b) positive ease-of-use, and that (c) mentors were helpful (87%) but seldom covered their preferred career (29%). These results demonstrate feasibility for virtual mentoring, but efficacy studies are needed to evaluate its impact, particularly for groups with limited STEM opportunities.



中文翻译:

MentorPal的可行性和可用性,MentorPal是虚拟导师快速发展的框架

抽象的

一对一的指导有效地帮助了新手职业发展。但是,传统的指导规模很差。为了解决这个问题,MentorPal根据真实STEM专业人士的录音模拟了与虚拟导师小组的对话。学生可以像在职业博览会上一样随意提问,而机器学习算法则以最匹配的答案做出回应。MentorPal正在研究新的虚拟导师的快速发展,在那里培训数据将是稀疏的。在一项可用性研究中,有31名高中学生报告(a)增加了职业知识和信心,(b)积极易用,并且(c)指导者很有帮助(87%),但很少涵盖他们喜欢的职业(29% )。这些结果证明了虚拟辅导的可行性,但是需要进行功效研究以评估其影响,

更新日期:2020-07-22
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