Pub Date : 2023-11-28DOI: 10.1109/mic.2023.3334025
Teresa M. Ober, Ying Cheng
We administered a survey to examine the impact of the COVID-19 pandemic on academic assessment in a sample of 992 U.S. college students (mean age = 22.36 years) between February and June 2021. The survey included multiple-choice and open-ended questions asking about students’ experiences before (fall 2019 to early spring 2020) and during the pandemic-affected periods (late spring 2020 to spring 2021). While classroom assessment formats showed minimal changes, methods of exam administration differed significantly during the pandemic. Untimed and open-book exams became more prevalent, while in-class proctored exams decreased. Even in spring 2021, open-book, outside-of-class, and online proctored or unproctored exams remained common. Students who altered their long-term academic plans due to the pandemic expressed frustration with educational experiences and concerns about future job prospects via open-ended responses. Understanding students’ experiences with online assessments can provide valuable insights for the development and administration of fair and valid assessments in online and remote higher education settings.
{"title":"Adapting to Online and Remote Learning: Examining the Educational Assessment Experiences of U.S. College Students Amidst COVID-19","authors":"Teresa M. Ober, Ying Cheng","doi":"10.1109/mic.2023.3334025","DOIUrl":"https://doi.org/10.1109/mic.2023.3334025","url":null,"abstract":"We administered a survey to examine the impact of the COVID-19 pandemic on academic assessment in a sample of 992 U.S. college students (mean age = 22.36 years) between February and June 2021. The survey included multiple-choice and open-ended questions asking about students’ experiences before (fall 2019 to early spring 2020) and during the pandemic-affected periods (late spring 2020 to spring 2021). While classroom assessment formats showed minimal changes, methods of exam administration differed significantly during the pandemic. Untimed and open-book exams became more prevalent, while in-class proctored exams decreased. Even in spring 2021, open-book, outside-of-class, and online proctored or unproctored exams remained common. Students who altered their long-term academic plans due to the pandemic expressed frustration with educational experiences and concerns about future job prospects via open-ended responses. Understanding students’ experiences with online assessments can provide valuable insights for the development and administration of fair and valid assessments in online and remote higher education settings.","PeriodicalId":13121,"journal":{"name":"IEEE Internet Computing","volume":"24 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139910119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-23DOI: 10.1109/mic.2023.3336057
Daniel López-Fernández, Aldo Gordillo, Sonsoles López-Pernas, Edmundo Tovar
Numerous initiatives were conducted online during the COVID-19 pandemic, and today it is necessary to analyze whether it is better to continue conducting these initiatives online, or should they be done face-to-face and even readapted to this format. This article compares an educational escape room for learning software engineering conducted online during the confinement caused by the pandemic and later face to face. The research involves 241 students and employs instruments to explore the knowledge acquisition attained by the students and their perceptions toward the activity. The results provide insights to consider use of this technique in the future. The digital elements used in a remote escape room are suitable for a face-to-face escape room since the educational efficacy of the activity was similar when conducted online and face to face. However, some students' perceptions related to enjoyment were worse in the face-to-face escape room, which could be improved by incorporating physical elements.
{"title":"Are Remote Educational Escape Rooms Designed During the Pandemic Useful in a Postpandemic Face-to-Face Setting?","authors":"Daniel López-Fernández, Aldo Gordillo, Sonsoles López-Pernas, Edmundo Tovar","doi":"10.1109/mic.2023.3336057","DOIUrl":"https://doi.org/10.1109/mic.2023.3336057","url":null,"abstract":"Numerous initiatives were conducted online during the COVID-19 pandemic, and today it is necessary to analyze whether it is better to continue conducting these initiatives online, or should they be done face-to-face and even readapted to this format. This article compares an educational escape room for learning software engineering conducted online during the confinement caused by the pandemic and later face to face. The research involves 241 students and employs instruments to explore the knowledge acquisition attained by the students and their perceptions toward the activity. The results provide insights to consider use of this technique in the future. The digital elements used in a remote escape room are suitable for a face-to-face escape room since the educational efficacy of the activity was similar when conducted online and face to face. However, some students' perceptions related to enjoyment were worse in the face-to-face escape room, which could be improved by incorporating physical elements.","PeriodicalId":13121,"journal":{"name":"IEEE Internet Computing","volume":"33 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139945903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-21DOI: 10.1109/mic.2023.3333199
Enrique Barra, Sonsoles López-Pernas, Aldo Gordillo, Alejandro Pozo, Andres Muñoz-Arcentales, Javier Conde
Learning about databases is indispensable for individuals studying software engineering or computer science or those involved in the IT industry. We analyzed a remote educational escape room for teaching about databases in four different higher education courses in two consecutive academic years. We employed three instruments for evaluation: a pre- and posttest to assess the escape room’s effectiveness for student learning, a questionnaire to gather students’ perceptions, and a Web platform that unobtrusively records students’ interactions and performance. We show novel evidence that educational escape rooms conducted remotely can be engaging as well as effective for teaching about databases.
对于学习软件工程、计算机科学或从事 IT 行业的人来说，学习数据库知识是必不可少的。我们对连续两个学年在四门不同的高等教育课程中使用远程教育逃生室教授数据库知识的情况进行了分析。我们采用了三种工具进行评估：前测和后测，以评估逃生室对学生学习的有效性；问卷调查，以收集学生的看法；网络平台，以不引人注目的方式记录学生的互动和表现。我们用新颖的证据证明，远程教育逃生室不仅能吸引学生，还能有效地进行数据库教学。
{"title":"Empowering Database Learning Through Remote Educational Escape Rooms","authors":"Enrique Barra, Sonsoles López-Pernas, Aldo Gordillo, Alejandro Pozo, Andres Muñoz-Arcentales, Javier Conde","doi":"10.1109/mic.2023.3333199","DOIUrl":"https://doi.org/10.1109/mic.2023.3333199","url":null,"abstract":"Learning about databases is indispensable for individuals studying software engineering or computer science or those involved in the IT industry. We analyzed a remote educational escape room for teaching about databases in four different higher education courses in two consecutive academic years. We employed three instruments for evaluation: a pre- and posttest to assess the escape room’s effectiveness for student learning, a questionnaire to gather students’ perceptions, and a Web platform that unobtrusively records students’ interactions and performance. We show novel evidence that educational escape rooms conducted remotely can be engaging as well as effective for teaching about databases.","PeriodicalId":13121,"journal":{"name":"IEEE Internet Computing","volume":"54 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139911141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-21DOI: 10.1109/mic.2023.3332887
Kevin K.W. Ho, Shaoyu Ye, Dickson K.W. Chiu, Takuya Sekiguchi
The COVID-19 pandemic changed the world in multiple ways. The global lockdown forced people to adopt remote learning and work, creating many examples of different organizations (government agencies, businesses, and educational institutions) adapting to this new paradigm through digital transformation. In this article, we review how educational institutions have digitally transformed teaching and learning processes into remote learning and how government agencies and businesses have re-engineered their business processes to facilitate remote work worldwide. Based on this review, we further discuss how our society will embrace these new working and learning paradigms in the post-COVID-19 era.
{"title":"Digital Transformation in Remote Learning and Work—An Externality of the COVID-19 Pandemic","authors":"Kevin K.W. Ho, Shaoyu Ye, Dickson K.W. Chiu, Takuya Sekiguchi","doi":"10.1109/mic.2023.3332887","DOIUrl":"https://doi.org/10.1109/mic.2023.3332887","url":null,"abstract":"The COVID-19 pandemic changed the world in multiple ways. The global lockdown forced people to adopt remote learning and work, creating many examples of different organizations (government agencies, businesses, and educational institutions) adapting to this new paradigm through digital transformation. In this article, we review how educational institutions have digitally transformed teaching and learning processes into remote learning and how government agencies and businesses have re-engineered their business processes to facilitate remote work worldwide. Based on this review, we further discuss how our society will embrace these new working and learning paradigms in the post-COVID-19 era.","PeriodicalId":13121,"journal":{"name":"IEEE Internet Computing","volume":"4 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139911192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-21DOI: 10.1109/mic.2023.3335614
Hem Chandra Joshi, Sandeep Kumar
The COVID-19 pandemic has transformed the way we work, especially in the domain of remote work (RW). It compelled employees and organizations to embrace RW arrangements, which were previously voluntary, part time, or occasional, as a means to curtail the spread of the virus and minimize business disruptions. RW has introduced a flexible arrangement and other benefits but has also brought forth numerous challenges and obstacles specifically faced by female employees. In this study, we collect important insights about recent research focusing on the impact of RW, particularly accentuated by the COVID-19 pandemic, on gender equality and highlight the barriers and challenges women face due to it. By analyzing insights gleaned from recent literature, we propose strategies and discuss the potential artificial intelligence-based solutions to address and overcome them. Furthermore, we also outline potential avenues for future research.
{"title":"Remote Work and Gender Inequality: Unmasking the Challenges and Seeking Solutions","authors":"Hem Chandra Joshi, Sandeep Kumar","doi":"10.1109/mic.2023.3335614","DOIUrl":"https://doi.org/10.1109/mic.2023.3335614","url":null,"abstract":"The COVID-19 pandemic has transformed the way we work, especially in the domain of remote work (RW). It compelled employees and organizations to embrace RW arrangements, which were previously voluntary, part time, or occasional, as a means to curtail the spread of the virus and minimize business disruptions. RW has introduced a flexible arrangement and other benefits but has also brought forth numerous challenges and obstacles specifically faced by female employees. In this study, we collect important insights about recent research focusing on the impact of RW, particularly accentuated by the COVID-19 pandemic, on gender equality and highlight the barriers and challenges women face due to it. By analyzing insights gleaned from recent literature, we propose strategies and discuss the potential artificial intelligence-based solutions to address and overcome them. Furthermore, we also outline potential avenues for future research.","PeriodicalId":13121,"journal":{"name":"IEEE Internet Computing","volume":"21 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139911191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-17DOI: 10.1109/mic.2023.3325954
{"title":"Call for Papers: IEEE Internet Computing Special Issue on Data Economy and Data Marketplaces","authors":"","doi":"10.1109/mic.2023.3325954","DOIUrl":"https://doi.org/10.1109/mic.2023.3325954","url":null,"abstract":"","PeriodicalId":13121,"journal":{"name":"IEEE Internet Computing","volume":"12 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142203170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-17DOI: 10.1109/mic.2023.3300508
Sultan Altarrazi, Tomasz Szydlo, Schahram Dustdar, Satish Narayana Srirama, Rajiv Ranjan
In the Internet of Things (IoT) context, the landscape of weaknesses in the IoT spectrum sheds light on addressing faults by researchers due to the number of IoT components that unveil immense vulnerabilities to failures. Hence, there is a need to comprehend the faults dynamics to facilitate identifying potential hazards in a developer’s design, deliver methodologies to mitigate the risks, and ensure the data quality and resiliency of the IoT’s deployment. This article comprehensively aims to analyze faults occurrences in the IoT, their impacts on functionality, and their repercussions on data. It highlights the intricate patterns of data faults by addressing various aspects, such as duration, cause, pitfalls, component, type, and source.
{"title":"Addressing the Faults Landscape in the Internet of Things: Toward Datacentric and System Resilience","authors":"Sultan Altarrazi, Tomasz Szydlo, Schahram Dustdar, Satish Narayana Srirama, Rajiv Ranjan","doi":"10.1109/mic.2023.3300508","DOIUrl":"https://doi.org/10.1109/mic.2023.3300508","url":null,"abstract":"In the Internet of Things (IoT) context, the landscape of weaknesses in the IoT spectrum sheds light on addressing faults by researchers due to the number of IoT components that unveil immense vulnerabilities to failures. Hence, there is a need to comprehend the faults dynamics to facilitate identifying potential hazards in a developer’s design, deliver methodologies to mitigate the risks, and ensure the data quality and resiliency of the IoT’s deployment. This article comprehensively aims to analyze faults occurrences in the IoT, their impacts on functionality, and their repercussions on data. It highlights the intricate patterns of data faults by addressing various aspects, such as duration, cause, pitfalls, component, type, and source.","PeriodicalId":13121,"journal":{"name":"IEEE Internet Computing","volume":"1 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138517755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-17DOI: 10.1109/mic.2023.3326637
Elisa Bertino, Suparna Bhattacharya, Elena Ferrari, Dejan Milojicic
AI trustworthiness properties are at the top of concerns for industry, governments, and academia. However, the AI and its models are only as good as the data used to train it. Data lineage could be tracked in many ways, including using metadata, from its generation usage, deployment, and verification. New standards, blueprints, best practices, and repositories for data are required to address requirements for data trustworthiness, such as sustainability, scale, and responsiveness but also ethics, diversity, equity, and inclusion. In this special issue of IEEE Internet Computing, we feature three articles. The first one addresses certification for trustworthy machine-learning-based applications, the second one is on the topic of data and configuration variances in deep learning, and the third one explores balancing trustworthiness and efficiency in AI Systems. We hope that this special issue will increase the community’s awareness of the importance of AI trustworthiness through data lineage.
{"title":"Trustworthy AI and Data Lineage","authors":"Elisa Bertino, Suparna Bhattacharya, Elena Ferrari, Dejan Milojicic","doi":"10.1109/mic.2023.3326637","DOIUrl":"https://doi.org/10.1109/mic.2023.3326637","url":null,"abstract":"AI trustworthiness properties are at the top of concerns for industry, governments, and academia. However, the AI and its models are only as good as the data used to train it. Data lineage could be tracked in many ways, including using metadata, from its generation usage, deployment, and verification. New standards, blueprints, best practices, and repositories for data are required to address requirements for data trustworthiness, such as sustainability, scale, and responsiveness but also ethics, diversity, equity, and inclusion. In this special issue of IEEE Internet Computing, we feature three articles. The first one addresses certification for trustworthy machine-learning-based applications, the second one is on the topic of data and configuration variances in deep learning, and the third one explores balancing trustworthiness and efficiency in AI Systems. We hope that this special issue will increase the community’s awareness of the importance of AI trustworthiness through data lineage.","PeriodicalId":13121,"journal":{"name":"IEEE Internet Computing","volume":"32 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138517803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-17DOI: 10.1109/mic.2023.3328411
{"title":"IEEE Computer Society Information","authors":"","doi":"10.1109/mic.2023.3328411","DOIUrl":"https://doi.org/10.1109/mic.2023.3328411","url":null,"abstract":"","PeriodicalId":13121,"journal":{"name":"IEEE Internet Computing","volume":"106 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142203171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-17DOI: 10.1109/mic.2023.3328515
{"title":"IEEE CS Call for Papers","authors":"","doi":"10.1109/mic.2023.3328515","DOIUrl":"https://doi.org/10.1109/mic.2023.3328515","url":null,"abstract":"","PeriodicalId":13121,"journal":{"name":"IEEE Internet Computing","volume":"13 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142203173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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