“Better than my professor?” How to develop artificial intelligence tools for higher education

Stefano Triberti, Raffaele Di Fuccio, Chiara Scuotto, Emanuele Marsico, P. Limone
{"title":"“Better than my professor?” How to develop artificial intelligence tools for higher education","authors":"Stefano Triberti, Raffaele Di Fuccio, Chiara Scuotto, Emanuele Marsico, P. Limone","doi":"10.3389/frai.2024.1329605","DOIUrl":null,"url":null,"abstract":"Artificial Intelligence (AI) tools are currently designed and tested in many fields to improve humans’ ability to make decisions. One of these fields is higher education. For example, AI-based chatbots (“conversational pedagogical agents”) could engage in conversations with students in order to provide timely feedback and responses to questions while the learning process is taking place and to collect data to personalize the delivery of course materials. However, many existent tools are able to perform tasks that human professionals (educators, tutors, professors) could perform, just in a timelier manner. While discussing the possible implementation of AI-based tools in our university’s educational programs, we reviewed the current literature and identified a number of capabilities that future AI solutions may feature, in order to improve higher education processes, with a focus on distance higher education. Specifically, we suggest that innovative tools could influence the methodologies by which students approach learning; facilitate connections and information attainment beyond course materials; support the communication with the professor; and, draw from motivation theories to foster learning engagement, in a personalized manner. Future research should explore high-level opportunities represented by AI for higher education, including their effects on learning outcomes and the quality of the learning experience as a whole.","PeriodicalId":508738,"journal":{"name":"Frontiers in Artificial Intelligence","volume":"50 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/frai.2024.1329605","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Artificial Intelligence (AI) tools are currently designed and tested in many fields to improve humans’ ability to make decisions. One of these fields is higher education. For example, AI-based chatbots (“conversational pedagogical agents”) could engage in conversations with students in order to provide timely feedback and responses to questions while the learning process is taking place and to collect data to personalize the delivery of course materials. However, many existent tools are able to perform tasks that human professionals (educators, tutors, professors) could perform, just in a timelier manner. While discussing the possible implementation of AI-based tools in our university’s educational programs, we reviewed the current literature and identified a number of capabilities that future AI solutions may feature, in order to improve higher education processes, with a focus on distance higher education. Specifically, we suggest that innovative tools could influence the methodologies by which students approach learning; facilitate connections and information attainment beyond course materials; support the communication with the professor; and, draw from motivation theories to foster learning engagement, in a personalized manner. Future research should explore high-level opportunities represented by AI for higher education, including their effects on learning outcomes and the quality of the learning experience as a whole.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
"比我的教授更好?如何为高等教育开发人工智能工具
目前,许多领域都在设计和测试人工智能(AI)工具,以提高人类的决策能力。高等教育就是其中之一。例如,基于人工智能的聊天机器人("对话式教学代理")可以与学生进行对话,以便在学习过程中及时反馈和回答问题,并收集数据以个性化地提供课程材料。然而,现有的许多工具都能完成人类专业人员(教育工作者、辅导员、教授)所能完成的任务,只是更及时而已。在讨论在我校教育项目中实施基于人工智能的工具的可能性时,我们回顾了当前的文献,并确定了未来人工智能解决方案可能具备的一些功能,以改善高等教育过程,重点是远程高等教育。具体来说,我们认为创新工具可以影响学生的学习方法;促进课程材料之外的联系和信息获取;支持与教授的交流;以及借鉴激励理论,以个性化的方式促进学习参与。未来的研究应探索人工智能为高等教育带来的高层次机遇,包括其对学习成果和整个学习体验质量的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Using synthetic dataset for semantic segmentation of the human body in the problem of extracting anthropometric data Enhancing educational Q&A systems using a Chaotic Fuzzy Logic-Augmented large language model AI can empower agriculture for global food security: challenges and prospects in developing nations Examining the impact of green technological specialization and the integration of AI technologies on green innovation performance: evidence from China Expandable-RCNN: toward high-efficiency incremental few-shot object detection
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1