Artificial intelligence ethics in services: are we paying attention to that?! DOI
Ahmed Tlili, Mouna Denden, Mourad Abed

et al.

Service Industries Journal, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 24

Published: June 26, 2024

Language: Английский

Generative AI for Customizable Learning Experiences DOI Open Access
Ivica Pesovski, Ricardo Santos, Roberto Henriques

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(7), P. 3034 - 3034

Published: April 5, 2024

The introduction of accessible generative artificial intelligence opens promising opportunities for the implementation personalized learning methods in any educational environment. Personalized has been conceptualized a long time, but it only recently become realistic and truly achievable. In this paper, we propose an affordable sustainable approach toward personalizing materials as part complete process. We have created tool within pre-existing management system at software engineering college that automatically generates based on outcomes provided by professor particular class. were composed three distinct styles, initial one being traditional style other two variations adopting pop-culture influence, namely Batman Wednesday Addams. Each lesson, besides delivered different formats, contained generated multiple-choice questions students could use to check their progress. This paper contains instructions developing such with help large language models using OpenAI’s API analysis preliminary experiment its usage performed 20 studying European university. Participation study was optional voluntary basis. student’s quantified, questionnaires conducted: immediately after subject completion another 6 months later assess both immediate long-term effects, perceptions, preferences. results indicate found multiple variants really engaging. While predominantly utilizing variant materials, they inspiring, would recommend students, like see more classes. most popular feature quiz-style tests used understanding. Preliminary evidence suggests various versions leads increase students’ especially who not mastered topic otherwise. study’s small sample size restricts ability generalize findings, provide useful early insights lay groundwork future research AI-supported strategies.

Language: Английский

Citations

61

ADVANCEMENTS AND CHALLENGES IN AI INTEGRATION FOR TECHNICAL LITERACY: A SYSTEMATIC REVIEW DOI Creative Commons

Babajide Tolulope Familoni,

Nneamaka Chisom Onyebuchi

Engineering Science & Technology Journal, Journal Year: 2024, Volume and Issue: 5(4), P. 1415 - 1430

Published: April 17, 2024

This systematic review explores the advancements and challenges associated with integration of artificial intelligence (AI) in promoting technical literacy. Technical literacy is increasingly important today's digital age, where understanding utilizing technology are essential skills. AI has potential to enhance by providing personalized learning experiences, facilitating hands-on learning, offering innovative tools resources. However, education also presents challenges, such as ensuring equitable access, addressing ethical considerations, overcoming barriers. The examines a range studies literature related for literacy, focusing on key themes tools. It highlights transform tailored experiences that cater individual needs preferences. AI-driven tools, simulations, virtual laboratories, intelligent tutoring systems, have been shown student engagement concepts. Despite benefits, identifies integration, including need teacher training, concerns about data privacy, risk reinforcing existing inequalities. Addressing these requires careful planning, collaboration between educators developers, commitment access educational Overall, this provides insights into current state opportunities approach. By leveraging AI, can prepare students success technology-driven world. Keywords: Advancement, Challenges, Integration, Literacy.

Language: Английский

Citations

45

Integrating AI in education: Opportunities, challenges, and ethical considerations DOI Creative Commons

Chima Abimbola Eden,

Onyebuchi Nneamaka Chisom,

Idowu Sulaimon Adeniyi

et al.

Magna Scientia Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 10(2), P. 006 - 013

Published: March 7, 2024

Integrating Artificial Intelligence (AI) in education presents a promising frontier with manifold opportunities, yet it also poses significant challenges and necessitates ethical considerations. This review explores the multifaceted landscape of AI integration education, highlighting its potential to revolutionize traditional pedagogical approaches, personalize learning experiences, streamline administrative tasks. However, addresses pertaining implementation, including issues related accessibility, data privacy, digital divide. The opportunities afforded by are vast transformative. AI-driven technologies have capacity adapt instruction individual styles, thereby enhancing student engagement academic outcomes. Additionally, AI-powered tools can automate tasks, allowing educators allocate more time meaningful interactions students. Moreover, holds promise facilitating creation immersive environments through virtual reality augmented applications, enriching educational experience. Nevertheless, considerations that warrant careful examination. Concerns regarding privacy security arise as institutions collect analyze amounts data. there apprehensions about for algorithms perpetuate biases or reinforce inequalities if not implemented conscientious oversight. Furthermore, questions surrounding use assessing performance making consequential decisions underscore importance establishing transparent accountable practices. While offers unprecedented innovation improvement, is imperative navigate associated diligence foresight. By addressing these thoughtfully, stakeholders harness full cultivate equitable, inclusive, effective environments.

Language: Английский

Citations

35

Artificial intelligence and sustainable development during urbanization: Perspectives on AI R&D innovation, AI infrastructure, and AI market advantage DOI Open Access

Qiang Wang,

Fuyu Zhang,

Rongrong Li

et al.

Sustainable Development, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 27, 2024

Abstract This study explores the impact of artificial intelligence (AI) on sustainable development across 51 countries during urbanization. Using panel data, examines AI's effects through three dimensions: R&D innovation, infrastructure, and market advantage. The results demonstrate that AI promotes development, with innovation exerting strongest influence, followed by whereas advantage has smallest impact. Additionally, uncovers regional heterogeneity in impacts. In upper middle levels (60%–70% quantiles), promoting effect is strongest. Moreover, urbanization plays a threshold role relationship between development. When below threshold, infrastructure promote inhibit it. Conversely, when exceeds this inhibits becomes insignificant, begin to recommends governments should consider level crafting policies utilizing AI.

Language: Английский

Citations

25

Digital finance and corporate green investment: A perspective from institutional investors and environmental regulations DOI
Sohail Ahmad Javeed, Rashid Latief,

Xiang Cai

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 446, P. 141367 - 141367

Published: Feb. 19, 2024

Language: Английский

Citations

23

Harnessing technology integration in education: Strategies for enhancing learning outcomes and equity DOI Creative Commons

Chima Abimbola Eden,

Onyebuchi Nneamaka Chisom,

Idowu Sulaimon Adeniyi

et al.

World Journal of Advanced Engineering Technology and Sciences, Journal Year: 2024, Volume and Issue: 11(2), P. 001 - 008

Published: March 6, 2024

In contemporary educational settings, the integration of technology has become a pivotal aspect in shaping learning experiences and fostering equitable access to education. This review delves into strategies employed leverage effectively, aiming enhance outcomes promote equity within systems. The rapid evolution transformed traditional pedagogical approaches, offering diverse tools platforms engage learners across varied demographics. By strategically integrating frameworks, educators can tailor instruction accommodate styles facilitate personalized experiences. Furthermore, enables creation interactive immersive environments, student engagement motivation. However, achieving remains critical challenge, particularly underserved communities developing regions. Addressing this challenge necessitates proactive measures such as investing infrastructure, providing training for educators, implementing policies that prioritize digital inclusion. Moreover, effective goes beyond merely incorporating devices software classrooms. It involves aligning technological with goals, literacy skills among students, promoting thinking creativity through technology-mediated activities. highlights importance leveraging not only but also bridge divide adopting inclusive collaboration stakeholders, institutions harness full potential create more enriching environments all students.

Language: Английский

Citations

23

Artificial Intelligence in Education DOI
Julie A. Delello, Jennifer Bailey,

Arlene Garcia-Lopez

et al.

Advances in business information systems and analytics book series, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 26

Published: June 30, 2024

This chapter explores artificial intelligence (AI) and its potential to revolutionize the field of education by enhancing teaching learning. It further highlights ways in which AI technologies can support educators students, including content creation encompassing voice video, task automation, provision personalized learning through adaptive platforms. Potential benefits leveraging technology include improved learner engagement, automated administrative processes, more robust data-driven insights. As advances, a unique opportunity emerges for schools prepare use classroom redefine traditional methodologies. Nonetheless, balancing innovation with ethical considerations includes considering issues transparency privacy algorithms as well mitigating biases data.

Language: Английский

Citations

16

AI Chatbots and Cognitive Control: Enhancing Executive Functions Through Chatbot Interactions: A Systematic Review DOI Creative Commons
Pantelis Pergantis, Victoria Bamicha,

Charalampos Skianis

et al.

Brain Sciences, Journal Year: 2025, Volume and Issue: 15(1), P. 47 - 47

Published: Jan. 6, 2025

Background/Objectives: The evolution of digital technology enhances the broadening a person's intellectual growth. Research points out that implementing innovative applications world improves human social, cognitive, and metacognitive behavior. Artificial intelligence chatbots are yet another human-made construct. These forms software simulate conversation, understand process user input, provide personalized responses. Executive function includes set higher mental processes necessary for formulating, planning, achieving goal. present study aims to investigate executive reinforcement through artificial chatbots, outlining potentials, limitations, future research suggestions. Specifically, examined three questions: use conversational in functioning training, their impact on executive-cognitive skills, duration any improvements. Methods: assessment existing literature was implemented using systematic review method, according PRISMA 2020 Principles. avalanche search method employed conduct source following databases: Scopus, Web Science, PubMed, complementary Google Scholar. This included studies from 2021 experimental, observational, or mixed methods. It AI-based conversationalists support functions, such as anxiety, stress, depression, memory, attention, cognitive load, behavioral changes. In addition, this general populations with specific neurological conditions, all peer-reviewed, written English, full-text access. However, excluded before 2021, reviews, non-AI-based conversationalists, not targeting range skills abilities, without open criteria aligned objectives, ensuring focus AI agents function. initial collection totaled n = 115 articles; however, eligibility requirements led final selection 10 studies. Results: findings suggested positive effects enhance improve skills. Although, several limitations were identified, making it still difficult generalize reproduce effects. Conclusions: an tool can assistant learning expanding contributing metacognitive, social development individual. its training is at primary stage. highlighted need unified framework reference studies, better designs, diverse populations, larger sample sizes participants, longitudinal observe long-term use.

Language: Английский

Citations

3

Enhancing postgraduate digital academic writing proficiency: the interplay of artificial intelligence tools and ChatGPT DOI
Mohamed Oubibi,

Katsiaryna Hryshayeva,

Ronghuai Huang

et al.

Interactive Learning Environments, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 19

Published: Jan. 24, 2025

Language: Английский

Citations

2

Advancing environmental sustainability in the creative sectors: A strategic HR framework based on data analytics and eco-innovation DOI Creative Commons

Irunna Ejibe,

Tochukwu Chinwuba Nwankwo,

Ekene Ezinwa Nwankwo

et al.

World Journal of Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 21(3), P. 050 - 060

Published: March 4, 2024

In response to the growing urgency of environmental sustainability, industries across globe are seeking innovative approaches mitigate their ecological footprint. The creative sectors, encompassing fields such as design, advertising, media, and entertainment, wield significant influence in shaping societal norms consumer behavior. However, activities often come with substantial consequences. This proposes a strategic human resource (HR) framework grounded data analytics eco-innovation foster sustainability within sectors. proposed emphasizes pivotal role HR practices driving organizational change towards sustainability. Leveraging analytics, organizations can gain insights into impact various stages production consumption. By analyzing this data, firms identify key areas for improvement implement targeted strategies reduce consumption, waste generation, carbon emissions. Moreover, emerges central pillar framework, encouraging rethink traditional develop solutions that minimize harm. Through eco-innovation, design products, services, processes align principles while maintaining competitiveness market. Strategic play critical facilitating transition departments champion initiatives by fostering culture consciousness, providing training on eco-friendly practices, incentivizing employees contribute goals. Furthermore, professionals spearhead recruitment efforts attract individuals expertise facilitate knowledge sharing organization. integration represents forward-thinking approach addressing challenges adopting not only footprint but also capitalize opportunities innovation differentiation an increasingly environmentally conscious marketplace. Ultimately, review advocates holistic encompasses both objectives

Language: Английский

Citations

15