A New Intelligent System for Evaluating and Assisting Students in Laboratory Learning Management System

Hadeer A. Hassan, Mohab Mohammed Eid, M. M. Elmesalawy, Ahmed M. Abd El-Haleem
{"title":"A New Intelligent System for Evaluating and Assisting Students in Laboratory Learning Management System","authors":"Hadeer A. Hassan, Mohab Mohammed Eid, M. M. Elmesalawy, Ahmed M. Abd El-Haleem","doi":"10.1109/CICN56167.2022.10008322","DOIUrl":null,"url":null,"abstract":"Due to the Covid-19 epidemic the need for digital E-learning systems become mandatory. Also, most sectors that faced a shortage in E-learning systems are performing laboratory experiments remotely. For this reason, this research paper focuses on providing a complete Laboratory Learning Management System (LLMS) with generic and intelligent performance evaluation for experiments. The new LLMS offers many services from intelligently and automatically doing performance assessments and assistance for the students while performing the experiments online. The new performance assessment module provides regular assessment for experimental steps added to it the intelligent automatic assessment that detects if the students performed the experiments correctly from their mouse dynamics using an AI algorithm. Moreover, the new LLMS uses an analytic module to provide the teachers with analyzed results and charts to describe the behavior of students in various performed experiments. Regarding, the new performance assistant module provides students with complete assistance by pressing the help button to trigger the virtual tutor to explain any experimental steps. Furthermore, it intelligently to collects the mouse dynamics of the student performing the experiments and uses AI algorithms to detect if students face difficulties and provide them with suitable help automatically. Moreover, it can open a chat session with a real teaching assistant or a classmate to help the students. Furthermore, the new performance assessment and assistant services are considered generic because they used the mouse dynamic behavior of students which is suitable for any type of software used in the laboratory, without the need for a special device or extra cost.","PeriodicalId":287589,"journal":{"name":"2022 14th International Conference on Computational Intelligence and Communication Networks (CICN)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 14th International Conference on Computational Intelligence and Communication Networks (CICN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICN56167.2022.10008322","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

Due to the Covid-19 epidemic the need for digital E-learning systems become mandatory. Also, most sectors that faced a shortage in E-learning systems are performing laboratory experiments remotely. For this reason, this research paper focuses on providing a complete Laboratory Learning Management System (LLMS) with generic and intelligent performance evaluation for experiments. The new LLMS offers many services from intelligently and automatically doing performance assessments and assistance for the students while performing the experiments online. The new performance assessment module provides regular assessment for experimental steps added to it the intelligent automatic assessment that detects if the students performed the experiments correctly from their mouse dynamics using an AI algorithm. Moreover, the new LLMS uses an analytic module to provide the teachers with analyzed results and charts to describe the behavior of students in various performed experiments. Regarding, the new performance assistant module provides students with complete assistance by pressing the help button to trigger the virtual tutor to explain any experimental steps. Furthermore, it intelligently to collects the mouse dynamics of the student performing the experiments and uses AI algorithms to detect if students face difficulties and provide them with suitable help automatically. Moreover, it can open a chat session with a real teaching assistant or a classmate to help the students. Furthermore, the new performance assessment and assistant services are considered generic because they used the mouse dynamic behavior of students which is suitable for any type of software used in the laboratory, without the need for a special device or extra cost.
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
一种新型的智能学生评价与辅助实验室学习管理系统
由于2019冠状病毒病的流行,对数字电子学习系统的需求变得势在必行。此外,大多数面临电子学习系统短缺的部门正在远程进行实验室实验。因此,本研究的重点是为实验提供一个完整的具有通用和智能性能评估的实验室学习管理系统(LLMS)。新的LLMS提供了许多服务,从智能和自动进行绩效评估和帮助学生在网上进行实验。新的性能评估模块为实验步骤提供定期评估,并添加了智能自动评估,通过使用人工智能算法从学生的鼠标动态中检测学生是否正确执行实验。此外,新LLMS使用分析模块为教师提供分析结果和图表,以描述学生在各种实验中的行为。在这方面,新的表演助手模块为学生提供了完整的帮助,通过按下帮助按钮来触发虚拟导师解释任何实验步骤。此外,它可以智能地收集学生进行实验的鼠标动态,并使用人工智能算法来检测学生是否遇到困难,并自动提供适当的帮助。此外,它可以打开一个聊天会话与一个真正的助教或同学来帮助学生。此外,新的绩效评估和辅助服务被认为是通用的,因为它们使用了学生的鼠标动态行为,适用于实验室使用的任何类型的软件,而不需要特殊的设备或额外的费用。
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
Prediction of Downhole Pressure while Tripping A Parallelized Genetic Algorithms approach to Community Energy Systems Planning Application of Artificial Neural Network to Estimate Students Performance in Scholastic Assessment Test A New Intelligent System for Evaluating and Assisting Students in Laboratory Learning Management System Performance Evaluation of Machine Learning Models on Apache Spark: An Empirical Study
×
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