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Field training is the backbone of the teacher-preparation process. Its importance stems from the goals that colleges of education aim to achieve, which include bridging the gap between theory and practice and aligning with contemporary educational trends during teacher training. Currently, trainee students attendance in field training is recorded manually through signatures on attendance sheets. However, this method is prone to impersonation, time wastage, and misplacement. Additionally, traditional methods of evaluating trainee students are often susceptible to human errors during the evaluation and scoring processes. Field training also lacks modern technology that the supervisor can use in case of his absence from school to monitor the trainee students' implementation of the required activities and tasks. These shortcomings do not meet the needs of the digital era that universities are currently experiencing. As a result, this paper presents a smart management system for field training based on Internet of Things (IoT) and mobile technology. It includes three subsystems: attendance, monitoring, and evaluation. The attendance subsystem uses an R307 fingerprint sensor to record trainee students' attendance. The Arduino Nano microcontroller transmits attendance data to the proposed Android application via an ESP-12F Wi-Fi module, which then forwards it to the Firebase database for storage. The monitoring subsystem utilizes Global Positioning System (GPS) technology to continually track trainee students' locations, ensuring they remain at the school during training. It also enables remote communication between trainee students and supervisors via audio, video, or text by integrating video call and chat technologies. The evaluation subsystem is based on three items: an online exam, attendance, and implementation of required activities and tasks. Experimental results have demonstrated the accuracy and efficiency of the proposed management system in recording attendance, as well as in monitoring and evaluating trainee students during field traiing. [ABSTRACT FROM AUTHOR]

Massive open online courses (MOOCs) and other forms of distance learning have gained popularity in recent years. The success of remote online exam proctoring determines the integrity of the exam. Deep-learning-powered proctoring services have also grown in popularity. A large number of samples are needed for deep-learning training. The network's generalization ability is poor due to insufficient training data or an uneven lack of variation. This study illustrates how to analyze students' anomalous behavior by utilizing a YOLOv5 deep model trained using newly produced dataset. To overcome insufficient training data for deep-learning-related issues, this paper proposes a data-augmentation method based on semantic segmentation. The MobileNetV3 model was used to get an image semantic segmentation mask, which was used to get a binary mask, which in turn was used to replace the image background by using conditional subtraction with randomly selected background images. Finally, randomly pixel-based color augmentation was added to the resulting image. The behavioral detection model used in this study achieved 0.98 mean average precision (mAP) on the produced dataset, showing acceptable detection precision. The experimental findings indicate that the suggested augmentation method improves behavioral detection precision by more than 0.3%. [ABSTRACT FROM AUTHOR]

This study examined the use of Advancity Learning Management Systems (ALMS) and the Moodle Learning Management Systems (LMS) in learning settings, as well as online exams, within the framework of Transactional Distance Theory. With 146 college students (nfemale = 102, nmale = 44) as voluntary participants, data was gathered through an online questionnaire. A time series design was used for two different LMS sessions, and participants who voluntarily participated in ALMS and Moodle LMS sessions were matched. The findings revealed that while Moodle and ALMS both receive relatively similar assessment ratings for online exams, Moodle scored better in terms of learning setting. When factors of the Learning Management Systems Evaluation Scale (LMSES) based on Transactional Distance Theory were compared, the dialogue and autonomy factors were significantly higher for Moodle LMS than for ALMS. When online exams in the LMS were compared, there was no significant difference between ALMS and Moodle LMS, and for both LMS, the reliability factor was a determinant indicator than the other factors. As a result, in assessing and using an LMS, choices should be based on how well the LMS characteristics address an institution's demands. [ABSTRACT FROM AUTHOR]

Nowadays, online learning or e-learning has become increasingly popular and evolved. Many academic institutions use the Learning Management System (LMS) as a medium for delivering e-learning. A vital feature in such a system is the electronic examination (e-exam), where verifying student’s authentic competence is a challenge. This paper aims to present countermeasures for impersonation attacks. This research was a more focused effort and a continuation of previously owned one and many others found in works of literature. The method of protection is presented in the form of an attack-defense tree model. [ABSTRACT FROM AUTHOR]

COVID'19 is hastening the adoption of online learning and teaching worldwide, and across all levels of education. While many of the typical learning and teaching transactions such as lecturing and communicating are easily handled by contemporary online learning technologies, others, such as assessment of learning outcomes with closed book examinations are fraught with challenges. Among other issues to do with students and teachers, these challenges have to do with the ability of teachers and educational organizations to ensure academic integrity in the absence of a live proctor when an examination is being taken remotely and from a private location. A number of online proctoring tools are appearing on the market that portend to offer solutions to some of the major challenges. But for the moment, they too remain untried and tested on any large scale. This includes the cost of the service and their technical requirements. This paper reports on one of the first attempts to properly evaluate a selection of these tools and offer recommendations for educational institutions. This investigation, which was carried out at the University of the South Pacific, comprised a fourphased approach, starting with desk research that was followed with pilot testing by a group of experts as well as students. The elimination of a tool in every phase was based on the 'survival of the fittest' approach with each phase building upon the milestones and deliverables from the previous phase. This paper presents the results of this investigation and discusses its key findings. [ABSTRACT FROM AUTHOR]

As online learning is becoming very popular in formal educational settings and in individual development, online exams are starting to be recognized as one of the more efficient assessment methods. Online exams are effective in either blended or traditional forms of learning, and, when appropriately used, bring benefits to both learners and the learning process. However, learners' perceptions of online exams in developing countries have not been widely studied despite the potential of such research for contributing to more effective use of online exams in these countries. Thus, this study served two purposes. First, it aimed to investigate students' perceptions of online exams at a state university in Turkey, and at a state university in Kyrgyzstan. Second, the study compared the results. Structured as a mixed study, the research was conducted during the 2018-2019 fall term. The participants were 370 undergraduate students taking first-year courses online. Quantitative data considered learners' perception scores gathered via a survey, whereas qualitative data considered learners' opinions in response to an open-ended question. According to the quantitative analysis, learners' perceptions differed according to gender, major, and prior online course experience variables. In addition, Turkish and Kyrgyz learners differed in that Turkish learners found online exams less stressful and more reliable and fairer than traditional paper-based exams when compared with their Kyrgyz counterparts. The qualitative analysis provided important results for future planning in both institutions. [ABSTRACT FROM AUTHOR]

This paper outlines the key issues of remotely invigilated online exams (RIOEs) and presents ways to avoid and resolve the issues for educators who are considering implementing them. The purpose of this paper is to share the lessons learned during the process of implementing and evaluating RIOEs and highlight the key considerations required to conduct RIOEs more seamlessly, whilst minimising students' cognitive load. With the continued growth, and future importance of online tertiary education, this paper provides an important contribution to the understanding of the best methods and practices by which to conduct online examinations and provides a foundation for continued research and enhancement of effective RIOEs. The paper follows an extensive Action Learning process to develop and present a case study that was conducted across nine fully online business courses in a start-up venture for the University of South Australia. Cognitive load theory underpins the case study, which enabled the researchers to gain profound understanding into the RIOE process, identify issues and offer resolutions. RIOEs require more systematic and effective design compared to traditional paper-based exams and should be supplemented by early and clear communication with students. Educators should enable and encourage students to rehearse the exam service access procedures prior to their exams and students should be provided with real-time responsive technical support for any ad hoc issues that may present during the exam. These factors play a critical role in ensuring the successful implementation of RIOEs. [ABSTRACT FROM AUTHOR]

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Rationale and Objectives: Electronic learning (e-learning) may provide a means to enhance learning efficacy. However, introduction of e-learning often fails. We describe a strategy of how an e-learning curriculum was successfully implemented.Materials and Methods: The curriculum was designed based on published evidence. It consists of self-directed learning, an online discussion forum, and discussion rounds. The e-content in nuclear medicine and radiotherapy was produced by the k-MED team of medical authors, web designers, and psychologists. The online courses were delivered via a dedicated learning management system. The e-content for diagnostic radiology and physics was provided as PDF/HTML script by the respective teachers who objected to participate in the k-MED project. The exam was taken online. Online evaluation of the curriculum by the students was taken at the end of the course.Results: The new curriculum proved very effective. The time for the preparation for the clinical part of the radiology course could be reduced from 4 to 2 weeks. The students particularly enjoyed the self-directed learning. Although the material provided by k-MED received 90%-99% positive scores, the HTML and PDF scripts scored worse (13%-67% positive ratings). The positive results of the evaluation convinced the teachers responsible for physics and diagnostic radiology to participate in k-MED.Conclusions: As our example shows, new e-learning curricula can successfully be introduced. The strategy of implementation should be based on the existing evidence from the literature. The new curriculum helped to increase the efficacy of teaching and save time as the duration of the respective part of the course could be reduced by half. [ABSTRACT FROM AUTHOR]