Using artificial intelligence to grade practical laboratory examinations: Sacrificing students' learning experiences for saving time?

Author:

Gonzalez Victor H.12ORCID,Mattingly Spencer34ORCID,Wilhelm Jessica2,Hemingson Danielle1

Affiliation:

1. Undergraduate Biology Program College of Liberal Arts and Sciences, University of Kansas Lawrence Kansas USA

2. Department of Ecology and Evolutionary Biology College of Liberal Arts and Sciences, University of Kansas Lawrence Kansas USA

3. Department of Anatomy and Cell Biology Burrell College of Osteopathic Medicine Las Cruces New Mexico USA

4. Department of Basic Medical Sciences College of Medicine – Phoenix, University of Arizona Phoenix Arizona USA

Abstract

AbstractThe use of artificial intelligence (AI) by students has recently been made a key topic among educators because of the potential to transform students' learning experiences. However, the use of AI‐based software by instructors has not received the same level of consideration despite its recent accessibility and prevalence. This contribution discusses the benefits, challenges, and limitations of commercial AI‐based software (Gradescope®) for grading summative, short answer practical examinations in an undergraduate gross anatomy course. While the integration of Gradescope® in grading practical examinations reduces time and perceived instructor biases, it might erode personal relationships between students and instructors, especially with regard to individual feedback. Future research should assess best practices for incorporating AI technology into course grading considering the challenges and trade‐offs to students and instructors.

Publisher

Wiley

Subject

Embryology,General Medicine,Histology,Anatomy

Reference15 articles.

1. AbrahamsonCE.Methodologies for motivating student learning through personal connections. Forum Public Policy Online.2011. Available from:https://files.eric.ed.gov/fulltext/EJ969845.pdf

2. Grading Exams and Homework More Efficiently and Effectively

3. TECH launch with gradescope

4. Anatomy “steeplechase” online: Necessity sometimes is the catalyst for innovation

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