There have been giant leaps in the field of education in the past 1–2 years.. Schools and colleges are transitioning online to provide more resources to their students. The COVID-19 pandemic has provided students more opportunities to learn and improve themselves at their own pace. Online proctoring services (part of assessment) are also on the rise, and AI-based proctoring systems (henceforth called as AIPS) have taken the market by storm. Online proctoring systems (henceforth called as OPS), in general, makes use of online tools to maintain the sanctity of the examination. While most of this software uses various modules, the sensitive information they collect raises concerns among the student community. There are various psychological, cultural and technological parameters need to be considered while developing AIPS. This paper systematically reviews existing AI and non-AI-based proctoring systems. Through the systematic search on Scopus, Web of Science and ERIC repositories, 43 paper were listed out from the year 2015 to 2021. We addressed 4 primary research questions which were focusing on existing architecture of AIPS, Parameters to be considered for AIPS, trends and Issues in AIPS and Future of AIPS. Our 360-degree analysis on OPS and AIPS reveals that security issues associated with AIPS are multiplying and are a cause of legitimate concern. Major issues include Security and Privacy concerns, ethical concerns, Trust in AI-based technology, lack of training among usage of technology, cost and many more. It is difficult to know whether the benefits of these Online Proctoring technologies outweigh their risks. The most reasonable conclusion we can reach in the present is that the ethical justification of these technologies and their various capabilities requires us to rigorously ensure that a balance is struck between the concerns with the possible benefits to the best of our abilities. To the best of our knowledge, there is no such analysis on AIPS and OPS. Our work further addresses the issues in AIPS in human and technological aspect. It also lists out key points and new technologies that have only recently been introduced but could significantly impact online education and OPS in the years to come.
PurposeThe use of information and communication technologies (ICTs) has become a major driving force in transforming education worldwide. Similarly, in the last ten years, the usage of ICTs and e-learning in Pakistan has increased. Whereas the latest educational policy of the Government of Pakistan has focused on using ICTs and e-learning in schools and universities. The national professional standards for teachers have also suggested teachers to integrate ICTs in their classrooms and develop e-learning platforms for teaching and learning processes. However, in this study the effectiveness of information and communication and e-learning technologies integration in teaching and learning has been assessed. The context selected for this research study is a public university of Sindh, Pakistan. The research gap, which has been founded through the extensive literature review, indicated that most of the students are not able to utilize ICTs effectively. The first objective of this study is to enable students to gain wider range of knowledge and access Internet for developing a global outlook. Moreover, the second objective of this study is to develop students' capabilities of processing information more effectively and efficiently for teaching and learning.Design/methodology/approachBy nature, this study is quantitative survey-based research study. For this purpose, data has been collected from students and teachers of English, Computer Science and Business Administration departments of targeted university, survey questionnaires have been adopted as a data collection tool. Whereas the random sampling technique is used for the collection of data by using Morgan table of sample size. Additionally, data has been collected from 100 participants, 80 of them were students and 20 were teachers, and data has been analyzed by using SPSS 22.0 software.FindingsThe findings of this study have indicated the student's level of interest toward the integration of ICTs and e-learning in science and social science courses. Similarly, the findings specify that through ICT and e-learning materials, students can learn more effectively, which can also facilitate teachers for their teaching process in this modern era of technology. Whereas the issue that has been specified through the findings is that the teachers are not encouraged by the management of the university to implement the ICT in their teaching and learning due to their concerns on the limited resources and lack of competencies.Practical implicationsFor the practical implication, the findings of this study will facilitate the teachers and learners for integrating the ICTs and e-learning in their course curriculums and interactive teaching practices as per modern era of technology. Also, this study will help the provincial leader and policymakers by addressing the teachers’ concern to encourage the integration of ICT tools and develop capabilities for interactive classrooms for effective teaching and learning.Originality/valueThis is the first study of its nature that has been conducted in the Pakistani public university in rural setting, and the finding of this study will facilitate and help the institutional and government stakeholders to where and how they can effectively integrate ICTs and e-learning in classrooms for interactive teaching and learning processes in the rural Sindh.
PurposeThe rapid advancement of technology in online communication and fingertip access to the Internet has resulted in the expedited dissemination of fake news to engage a global audience at a low cost by news channels, freelance reporters and websites. Amid the coronavirus disease 2019 (COVID-19) pandemic, individuals are inflicted with these false and potentially harmful claims and stories, which may harm the vaccination process. Psychological studies reveal that the human ability to detect deception is only slightly better than chance; therefore, there is a growing need for serious consideration for developing automated strategies to combat fake news that traverses these platforms at an alarming rate. This paper systematically reviews the existing fake news detection technologies by exploring various machine learning and deep learning techniques pre- and post-pandemic, which has never been done before to the best of the authors’ knowledge.Design/methodology/approachThe detailed literature review on fake news detection is divided into three major parts. The authors searched papers no later than 2017 on fake news detection approaches on deep learning and machine learning. The papers were initially searched through the Google scholar platform, and they have been scrutinized for quality. The authors kept “Scopus” and “Web of Science” as quality indexing parameters. All research gaps and available databases, data pre-processing, feature extraction techniques and evaluation methods for current fake news detection technologies have been explored, illustrating them using tables, charts and trees.FindingsThe paper is dissected into two approaches, namely machine learning and deep learning, to present a better understanding and a clear objective. Next, the authors present a viewpoint on which approach is better and future research trends, issues and challenges for researchers, given the relevance and urgency of a detailed and thorough analysis of existing models. This paper also delves into fake new detection during COVID-19, and it can be inferred that research and modeling are shifting toward the use of ensemble approaches.Originality/valueThe study also identifies several novel automated web-based approaches used by researchers to assess the validity of pandemic news that have proven to be successful, although currently reported accuracy has not yet reached consistent levels in the real world.
Purpose Online learning is essential in today’s world. The COVID-19 has resulted in shutting down all the universities across the globe. Countries like India and Turkey (lower-income countries) are suffering a lot in giving the best classroom practice to their students through online mode. The entire way of teaching-learning has changed drastically, and it is a need of an hour. Research suggests that online learning has been shown to increase retention of information, and take less time, meaning the changes coronavirus have caused might be here to stay. It is therefore important to understand from student’s perspectives about learning online. The paper systematically surveys the perception of learning online for Indian and Turkan students. Design/methodology/approach To achieve this goal, 594 samples of students (from India and Turkey country) have been taken into considerations, and through statistical measures, the results were analyzed. The set of four research questions comprising of effect of study on COVID-19 pandemic, perception of learning online in COVID-19 pandemic, perception of different genders in learning online and perception of Indians over Turkan students in learning online were analyzed through statistical measures such as mean, standard deviation and so on. Findings The descriptive statistics of various responses across various dimensions (gender, country) reveals that there is no effect in learning online as compared to classroom-based teaching. On the other hand, there is no significant difference in gender and country in learning online. Originality/value Online learning has become crucial in higher education as far as pandemic situation is concerned. Many higher education institutions across different countries are suffering various problems from student point of view. Middle-income countries who are with limited assets and less advancements in higher education need to adhere to certain guidelines in online learning. This empirical study will help to understand the perception of students in online learning across India and Turkey.
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