Jubilian Hong Yi Ho, D. Tan, Jasmin Yi Yap, Kin Ping Tse, Muhamed Fauzi Bin Abbas, Arthur Wee Yeong Loo, Weihan Goh
{"title":"IoT-Enhanced Remote Proctoring: A New Paradigm for Remote Assessment Integrity","authors":"Jubilian Hong Yi Ho, D. Tan, Jasmin Yi Yap, Kin Ping Tse, Muhamed Fauzi Bin Abbas, Arthur Wee Yeong Loo, Weihan Goh","doi":"10.1109/CSEET58097.2023.00045","DOIUrl":null,"url":null,"abstract":"COVID-19 has hastened the adoption of online learning and teaching worldwide, and across all levels of education. Many educational institutions have adopted online proctoring solutions to conduct and ensure academic integrity during online assessments. As most online proctoring solutions include the installation of various libraries or dependencies, this introduces risk to assessment integrity, where students with ill-intentions seek to tamper with these installations in an attempt to bypass measures put in place to deter cheating. To tackle the issue at hand, we developed a proof-of-concept internet-of-things (IoT) tool called RAPID that leverages unconventional cybersecurity and malware techniques for remote proctoring. Our solution does not require prior installation of any software on the test-taker’s machine yet is able to monitor surface level and internal activities on a Windows operating system. Future works on the proof-of-concept could extend the solution to other popular operating systems, as well as capture and analyze more data with greater efficiency.","PeriodicalId":256885,"journal":{"name":"2023 IEEE 35th International Conference on Software Engineering Education and Training (CSEE&T)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE 35th International Conference on Software Engineering Education and Training (CSEE&T)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSEET58097.2023.00045","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
COVID-19 has hastened the adoption of online learning and teaching worldwide, and across all levels of education. Many educational institutions have adopted online proctoring solutions to conduct and ensure academic integrity during online assessments. As most online proctoring solutions include the installation of various libraries or dependencies, this introduces risk to assessment integrity, where students with ill-intentions seek to tamper with these installations in an attempt to bypass measures put in place to deter cheating. To tackle the issue at hand, we developed a proof-of-concept internet-of-things (IoT) tool called RAPID that leverages unconventional cybersecurity and malware techniques for remote proctoring. Our solution does not require prior installation of any software on the test-taker’s machine yet is able to monitor surface level and internal activities on a Windows operating system. Future works on the proof-of-concept could extend the solution to other popular operating systems, as well as capture and analyze more data with greater efficiency.