Structuring the student research experience

Author:

Bernat Andrew1,Teller Patricia J.1,Gates Ann1,Delgado Nellie1

Affiliation:

1. Computer Science Department, Connie Kubo Della-Piana, Model Institutions for Excellence, University of Texas at El Paso, El Paso, TX

Abstract

The benefits of working in a research group are clear: students develop domain expertise, gain an understanding and appreciation of the research process and its practice, and acquire team, communication, problem-solving, and higher-level thinking skills. Students with this experience are better equipped to make informed judgments about technical matters and to communicate and work in teams to solve complex problems. However, it is difficult to provide a quality experience to large numbers of students, particularly to students of differing abilities.The Systems and Software Engineering Affinity Research Group model provides a socialization mechanism and infrastructure that supports the development and management of large research groups that engage undergraduate and graduate students, who have a wide range of skill levels and experiences, in research and projects. This non-hierarchical model integrates students into both small research groups and an encompassing large research group, and uses structured activities to develop their research, technical, communication, and group skills.In this paper we introduce the model and report how the model meets independently developed Best Practice guidelines for student research experiences and we provide indicators of success for use by other projects.

Publisher

Association for Computing Machinery (ACM)

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Persona-based Assessment of Software Engineering Student Research Projects: An Experience Report;2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering Education and Training (ICSE-SEET);2023-05

2. Student Research as Legitimate Peripheral Participation;Communications of the Association for Information Systems;2022

3. Running research-oriented final year projects for CS and IS students;ACM SIGCSE Bulletin;2003-01-11

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3