Developing and evaluating cybersecurity competencies for students in computing programs

Alammari, Abdullah; Sohaib, Osama; Younes, Sayed S.

doi:10.7717/peerj-cs.827

Cited by 4 publications

(3 citation statements)

References 52 publications

(76 reference statements)

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“…Наред с ползите, свързани с онлайн тренировките, неизбежно се появяват предизвикателства в областта на киберсигурността, които изискват сериозно внимание и превантивни мерки. Тяхното изолиране и актуализиране на механизмите и политиките за киберсигурност ще доведе до създаването на по-сигурна среда за провеждане на онлайн фитнес тренировки и ще повиши доверието на потребителите (Alammari et al 2022). За запазването на ефективността, сигурността и надеждността на онлайн тренировките като метод за спорт и обучение в дигиталната ера е важно да се внедрят адекватни мерки за сигурност.…”

Section: Research Resultsunclassified

Online Fitness Training and Cybersecurity: Potential Threats and Prevention

Zaykova,

Yordanov

2023

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In today's digital world, online communication has gained wide popularity as an effective and easy way to maintain the activity of a number of areas of life, including conducting online workouts with fitness instructors. Despite the benefits associated with online training, cybersecurity challenges are inevitably emerging that require serious attention and preventive measures. The aim of the study is to analyze the effectiveness of current online security mechanisms and policies and to identify potential threats related to online training and cybersecurity. The highest efficiency is achieved in protecting users' personal data and preventing hacker attacks. The leading potential threats are phishing attacks, misuse of personal data and malware installation. The most commonly used mechanisms achieve optimal cybersecurity, but continuous online threats require increased attention from users as well. Using strong and unique passwords for all online accounts, updating device software, using two-factor authentication and creating backups will increase the effectiveness of online security.

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Section: Research Resultsunclassified

Online Fitness Training and Cybersecurity: Potential Threats and Prevention

Zaykova,

Yordanov

2023

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“…Among the vital areas that educators and policymakers must contend with are ethics, data privacy, and the imperative need for effective collaboration with artificial intelligence ( Akgun & Greenhow, 2022 ). As we advance in integrating AI into education, it is crucial to exercise caution, ensuring that the advantages of AI are fully harnessed while conscientiously addressing any potential challenges ( Kang, Li & Sohaib, 2023 ; Alammari, Sohaib & Younes, 2022 ; Baker, Smith & Anissa, 2019 ).…”

Section: Discussionmentioning

confidence: 99%

Evaluating generative AI integration in Saudi Arabian education: a mixed-methods study

Alammari

2024

PeerJ Computer Science

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Incorporating generative artificial intelligence (GAI) in education has become crucial in contemporary educational environments. This research article thoroughly investigates the ramifications of implementing GAI in the higher education context of Saudi Arabia, employing a blend of quantitative and qualitative research approaches. Survey-based quantitative data reveals a noteworthy correlation between educators’ awareness of GAI and the frequency of its application. Notably, around half of the surveyed educators are at stages characterized by understanding and familiarity with GAI integration, indicating a tangible readiness for its adoption. Moreover, the study’s quantitative findings underscore the perceived value and ease associated with integrating GAI, thus reinforcing the assumption that educators are motivated and inclined to integrate GAI tools like ChatGPT into their teaching methodologies. In addition to the quantitative analysis, qualitative insights from in-depth interviews with educators unveil a rich tapestry of perspectives. The qualitative data emphasizes GAI’s role as a catalyst for collaborative learning, contributing to professional development, and fostering innovative teaching practices.

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“…The syntactic analysis involves speech tagging parts, named entity recognition, and generation of parse structure ( Aldabe et al, 2006 ; Karamanis & Mitkov, 2006 ). Coreference resolution aims mapping to nouns to their concerned nouns is used by Alammari, Sohaib & Younes (2022) , Shah (2012) . Word sense disambiguation means identifying the word’s exact sense in a given sentence ( Liu et al, 2005 ).…”

Section: Background and Literature Reviewmentioning

confidence: 99%

Automatic computer science domain multiple-choice questions generation based on informative sentences

Maheen

Asif

Ahmad

et al. 2022

PeerJ Computer Science

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Students require continuous feedback for effective learning. Multiple choice questions (MCQs) are extensively used among various assessment methods to provide such feedback. However, manual MCQ generation is a tedious task that requires significant effort, time, and domain knowledge. Therefore, a system must be present that can automatically generate MCQs from the given text. The automatic generation of MCQs can be carried out by following three sequential steps: extracting informative sentences from the textual data, identifying the key, and determining distractors. The dataset comprising of various topics from the 9th and 11th-grade computer science course books are used in this work. Moreover, TF-IDF, Jaccard similarity, quality phrase mining, K-means, and bidirectional encoder representation from transformers techniques are utilized for automatic MCQs generation. Domain experts validated the generated MCQs with 83%, 77%, and 80% accuracy, key generation, and distractor generation, respectively. The overall MCQ generation achieved 80% accuracy through this system by the experts. Finally, a desktop app was developed that takes the contents in textual form as input, processes it at the backend, and visualizes the generated MCQs on the interface. The presented solution may help teachers, students, and other stakeholders with automatic MCQ generation.

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Developing and evaluating cybersecurity competencies for students in computing programs

Cited by 4 publications

References 52 publications

Online Fitness Training and Cybersecurity: Potential Threats and Prevention

Online Fitness Training and Cybersecurity: Potential Threats and Prevention

Evaluating generative AI integration in Saudi Arabian education: a mixed-methods study

Automatic computer science domain multiple-choice questions generation based on informative sentences

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