Embrace, Don’t Avoid: Reimagining Higher Education with Generative Artificial Intelligence DOI Creative Commons
Teuku Rizky Noviandy, Aga Maulana, Ghazi Mauer Idroes

и другие.

Journal of Educational Management and Learning, Год журнала: 2024, Номер 2(2), С. 81 - 90

Опубликована: Ноя. 28, 2024

This paper explores the potential of generative artificial intelligence (AI) to transform higher education. Generative AI is a technology that can create new content, like text, images, and code, by learning patterns from existing data. As tools become more popular, there growing interest in how improve teaching, learning, research. Higher education faces many challenges, such as meeting diverse needs preparing students for fast-changing careers. offers solutions personalizing experiences, making engaging, supporting skill development through adaptive content. It also help researchers automating tasks data analysis hypothesis generation, research faster efficient. Moreover, streamline administrative tasks, improving efficiency across institutions. However, using raises concerns about privacy, bias, academic integrity, equal access. To address these issues, institutions must establish clear ethical guidelines, ensure security, promote fairness use. Training faculty literacy are essential maximize benefits while minimizing risks. The suggests strategic framework integrating education, focusing on infrastructure, practices, continuous learning. By adopting responsibly, inclusive, practical, demands technology-driven world.

Язык: Английский

Anxiety among Medical Students Regarding Generative Artificial Intelligence Models: A Pilot Descriptive Study DOI Open Access
Malik Sallam,

Kholoud Al-Mahzoum,

Yousef Mubrik N. Almutairi

и другие.

Опубликована: Авг. 16, 2024

Despite the potential benefits of generative Artificial Intelligence (genAI), concerns about its psy-chological impact on medical students, especially with regard to job displacement, are apparent. This pilot study, conducted in Jordan during July–August 2024, aimed examine specific fears, anxieties, mistrust, and ethical students could harbor towards genAI. Using a cross-sectional survey design, data were collected from 164 studying across various academic years, employing structured self-administered questionnaire an internally consistent FAME scale—representing Fear, Anxiety, Mistrust, Ethics comprising 12 items, three items for each construct. The results indicated variable levels anxiety genAI among participating students: 34.1% reported no role their future careers (n = 56), while 41.5% slightly anxious 61), 22.0% somewhat 36), 2.4% extremely 4). Among constructs, Mistrust was most agreed upon (mean: 12.35±2.78), followed by construct 10.86±2.90), Fear 9.49±3.53), Anxiety 8.91±3.68). Sex, level, Grade Point Average (GPA) did not significantly affect students’ perceptions However, there notable direct association between general elevated scores constructs scale. Prior exposure previous use modify These findings highlighted critical need refined educational strategies address integration training. demonstrated pervasive anxiety, fear, regarding deployment healthcare, indicating necessity curriculum modifi-cations that focus specifically these areas. Interventions should be tailored increase familiarity competency, which would alleviate apprehension equip physicians engage this inevitable technology effectively. study also importance incorporating discussions into courses mistrust human-centered aspects Conclusively, calls proactive evolution education prepare AI-driven healthcare practices shortly ensure well-prepared, confident, ethically informed professional interactions technologies.

Язык: Английский

Процитировано

4
Generative AI as a Tool for Personalized STEAM K-12 Education DOI
Abdesselam Bougdira,

Ghadah Al Murshidi

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 387 - 410

Опубликована: Март 13, 2025

This chapter delves into the transformative impact of generative AI on personalized STEAM education. It explores how technologies are integrated education to deliver learning experiences that cater individual student needs. The benefits highlighted, including enhanced engagement, improved outcomes, greater accessibility, and stimulation creativity innovation. also examines challenges deploying in education, such as resource limitations, data privacy concerns, algorithmic biases, need for educator training. Future trends explored, focusing advancements AI-driven virtual classrooms, adaptive technologies, ethical considerations. By harnessing AI, can be scaled a broader audience, delivering equitable, high-quality prepare students complexities contemporary society.

Язык: Английский

Процитировано

0
Evaluating the role of Artificial Intelligence in sustainable development goals with an emphasis on “quality education” DOI Creative Commons
Hatoon S. AlSagri, Shahab Saquib Sohail

Discover Sustainability, Год журнала: 2024, Номер 5(1)

Опубликована: Дек. 3, 2024

The integration of Artificial Intelligence (AI), particularly advancements in Generative AI technologies such as Large Language Models (LLMs)—of which ChatGPT is a notable example—marks pivotal step addressing global challenges within the framework Sustainable Development Goals (SDGs). Specifically, SDG4 (Quality Education), these open have potential to revolutionize education by providing scalable, personalized learning experiences, improving access quality education, and optimizing resource allocation. By reducing barriers educational equity supporting lifelong learning, contributes not only enhancing outcomes but also broader pillars sustainability—social, economic, environmental. Despite promising applications, existing literature reveals significant gaps understanding full scope AI's role achieving SDGs. This study employs bibliometric analysis quantify current research on contribution sustainable development, with particular focus sustainability. Our highlights emerging trends, key contributors, prevalent themes academic discourse, robust foundation for future research. We argue that deeper capabilities can inform more effective policies strategic initiatives, fostering equitable systems. Future should further explore ethical considerations long-term societal impacts into other sectors. offers comprehensive overview landscape, identifies critical areas investigation, sets stage continued inquiry

Язык: Английский

Процитировано

1
Exploring the nature of generative artificial intelligence in evolving cyber threats DOI Creative Commons

Oluwaseyi Olakunle Mokuolu

World Journal of Advanced Engineering Technology and Sciences, Год журнала: 2024, Номер 12(2), С. 914 - 917

Опубликована: Авг. 30, 2024

The rapid advancement of Generative Artificial Intelligence (GenAI) has significantly impacted cybersecurity, presenting both opportunities and challenges. This study explores the evolving nature cyber threats facilitated by GenAI, focusing on its dual role in enhancing security measures creating sophisticated attack vectors. Through a comprehensive literature review, analyses were made previous research focused applications GenAI examining potential to detect, prevent, respond vulnerabilities exploitation malicious actors. Utilizing qualitative methodology, this gathers insight from peer-reviewed articles, case studies, expert interviews reveal implications cybersecurity landscape. findings complex interplay between GenAI's protective adversarial capabilities, highlighting need for continuous innovation robust strategies mitigate associated risks. concludes positioning these insights within broader context proposing directions future address emerging

Язык: Английский

Процитировано

0
Flexible LLM Experimental Infrastructure (Flexi) – Enabling Experimentation and Innovation in Higher Education Through Access to Open LLMs DOI
Torsten Zesch, Michael Hanses, Niels Seidel

и другие.

Опубликована: Ноя. 6, 2024

Язык: Английский

Процитировано

0
Embrace, Don’t Avoid: Reimagining Higher Education with Generative Artificial Intelligence DOI Creative Commons
Teuku Rizky Noviandy, Aga Maulana, Ghazi Mauer Idroes

и другие.

Journal of Educational Management and Learning, Год журнала: 2024, Номер 2(2), С. 81 - 90

Опубликована: Ноя. 28, 2024

This paper explores the potential of generative artificial intelligence (AI) to transform higher education. Generative AI is a technology that can create new content, like text, images, and code, by learning patterns from existing data. As tools become more popular, there growing interest in how improve teaching, learning, research. Higher education faces many challenges, such as meeting diverse needs preparing students for fast-changing careers. offers solutions personalizing experiences, making engaging, supporting skill development through adaptive content. It also help researchers automating tasks data analysis hypothesis generation, research faster efficient. Moreover, streamline administrative tasks, improving efficiency across institutions. However, using raises concerns about privacy, bias, academic integrity, equal access. To address these issues, institutions must establish clear ethical guidelines, ensure security, promote fairness use. Training faculty literacy are essential maximize benefits while minimizing risks. The suggests strategic framework integrating education, focusing on infrastructure, practices, continuous learning. By adopting responsibly, inclusive, practical, demands technology-driven world.

Язык: Английский

Процитировано

0