REVOLUTIONIZING MSI TO R1 GRADUATE PATHWAYS THROUGH DISTRIBUTED TEACHING

Dwayne C. Joseph
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Abstract

Morehouse College’s Dual Degree Engineering (DDE) program has leveraged its relationship with Michigan Robotics to introduce its students to University of Michigan’s undergraduate Robotics curriculum through the development of the Distributed Teaching Collaborative (DTC). The DTC connects students and faculty from Historically Black Colleges and Universities (HBCUs) and other minority serving institutions (MSIs) with doctoral universities that have very high research activities (R1 institutions) to deliver a unifying classroom experience, share distribution of resources, and prepare students for careers in AI. Since Fall of 2022, University of Michigan established a Robotics Department with an undergraduate program that emphasizes excellence in equity. A compelling feature of the department is its highly innovative approach to a robotics curriculum that allows for national scalability through collaborative distributed teaching. The curriculum, developed through active partnerships between Michigan Robotics and several MSIs, is adaptable to the teaching styles of MSI faculty, creating onramps to a robust robotics and artificial intelligence education that prepares students for R1 research experiences and graduate programs regardless of their background or where they are enrolled. The aim of the DTC model is to build MSI-R1 pathways to graduate programs at R1 universities by establishing collaborative teaching courses that have at least a 90% completion rate due to their social-interactions through student-student, student-instructor, and instructor-instructor interactions. The success of this project will be viewed through the number of students that complete DTC courses, matriculate in graduate programs, and maintain successful careers in STEM longitudinally.
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通过分布式教学革新msi到r1的研究生路径
莫尔豪斯学院的双学位工程(DDE)项目利用其与密歇根机器人公司的关系,通过开发分布式教学协作(DTC),将其学生介绍给密歇根大学的本科机器人课程。DTC将传统黑人学院和大学(HBCUs)以及其他少数族裔服务机构(msi)的学生和教师与研究活动非常高的博士大学(R1机构)联系起来,提供统一的课堂体验,共享资源分配,并为学生在人工智能领域的职业生涯做好准备。自2022年秋季以来,密歇根大学建立了一个机器人系,其本科课程强调卓越的公平性。该系的一个引人注目的特点是其高度创新的机器人课程方法,允许通过协作分布式教学在全国范围内扩展。该课程是通过密歇根机器人和几家MSI之间的积极合作开发的,适合MSI教师的教学风格,为强大的机器人和人工智能教育创造了通道,为学生的R1研究经验和研究生课程做好准备,无论他们的背景或入学地点如何。DTC模型的目标是通过建立协作教学课程,通过学生与学生、学生与教师、教师与教师的互动,至少有90%的完成率,为R1大学的研究生课程建立MSI-R1途径。该项目的成功将通过完成DTC课程的学生数量,研究生课程的入学人数,以及在STEM领域长期保持成功的职业生涯来衡量。
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