AI and Ethics, Journal Year: 2025, Volume and Issue: unknown
Published: March 11, 2025
Language: Английский
GSC Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 18(2), P. 261 - 271
Published: Feb. 20, 2024
The integration of Artificial Intelligence (AI) in education has ushered a transformative era, redefining traditional teaching and learning methods. This review explores the multifaceted role AI education, with particular focus on personalized educational technology. synergy between promises to address individualized needs, enhance student engagement, optimize outcomes. Personalized learning, enabled by algorithms, tailors experiences unique preferences, pace each student. approach goes beyond one-size-fits-all model, fostering more inclusive effective environment. delves into diverse applications AI-driven ranging from adaptive content delivery real-time feedback intelligent tutoring systems. It analyzes impact these technologies performance, highlighting potential narrow gaps cater styles. Educational technology, powered AI, extends classroom, encompassing online platforms, virtual reality, interactive tools. curriculum development, creation, assessment methods, offering insights how augment experience. Furthermore, examines automating administrative tasks, allowing educators redirect their towards instruction. Challenges ethical considerations associated adoption are also scrutinized. Privacy concerns, algorithmic biases, digital divide discussed, emphasizing importance responsible implementation. underscores need for collaborative efforts among educators, policymakers, technologists establish guidelines ensure equitable distribution AI-enhanced resources. provides comprehensive examination evolving landscape spotlight As symbiosis continues evolve, this synthesis current research trends aims guide future developments, an informed progressive sphere.
Language: Английский
Citations
103
Telematics and Informatics Reports, Journal Year: 2024, Volume and Issue: 13, P. 100116 - 100116
Published: Jan. 8, 2024
Language: Английский
Citations
66
Physics Education, Journal Year: 2024, Volume and Issue: 59(2), P. 025010 - 025010
Published: Feb. 6, 2024
Abstract With the rapid evolution of artificial intelligence (AI), its potential implications for higher education have become a focal point interest. This study delves into capabilities AI in physics and offers actionable policy recommendations. Using openAI’s flagship gpt-3.5-turbo large language model (LLM), we assessed ability to answer 1337 exam questions spanning general certificate secondary (GCSE), A-Level, introductory university curricula. We employed various prompting techniques: Zero Shot, context learning, confirmatory checking, which merges chain thought reasoning with reflection. The proficiency varied across academic levels: it scored an average 83.4% on GCSE, 63.8% 37.4% university-level questions, overall 59.9% using most effective technique. In separate test, LLM’s accuracy 5000 mathematical operations was found be 45.2%. When evaluated as marking tool, concordance human markers averaged at 50.8%, notable inaccuracies straightforward like multiple-choice. Given these results, our recommendations underscore caution: while current LLMs can consistently perform well earlier educational stages, their efficacy diminishes advanced content complex calculations. LLM outputs often showcase novel methods not syllabus, excessive verbosity, miscalculations basic arithmetic. suggests that university, there’s no substantial threat from non-invigilated questions. However, given LLMs’ considerable writing essays coding abilities, examinations skills are highly vulnerable automated completion by LLMs. vulnerability also extends pysics pitched lower levels. It is thus recommended educators transparent about students, emphasizing caution against overreliance output due tendency sound plausible but incorrect.
Language: Английский
Citations
25
Cognitive Computation, Journal Year: 2024, Volume and Issue: 16(5), P. 2528 - 2550
Published: May 5, 2024
Abstract ChatGPT is another large language model (LLM) vastly available for the consumers on their devices but due to its performance and ability converse effectively, it has gained a huge popularity amongst research as well industrial community. Recently, many studies have been published show effectiveness, efficiency, integration, sentiments of chatGPT other LLMs. In contrast, this study focuses important aspects that are mostly overlooked, i.e. sustainability, privacy, digital divide, ethics suggests not only every subsequent entry in category conversational bots should undergo Sustainability, PrivAcy, Digital Ethics (SPADE) evaluation. This paper discusses detail issues concerns raised over line with aforementioned characteristics. We also discuss recent EU AI Act briefly accordance SPADE support our hypothesis by some preliminary data collection visualizations along hypothesized facts. suggest mitigations recommendations each concerns. Furthermore, we policies policy act concerning ethics, sustainability.
Language: Английский
Citations
24
Technology in Society, Journal Year: 2024, Volume and Issue: 77, P. 102543 - 102543
Published: April 3, 2024
Language: Английский
Citations
16
International Journal of Educational Technology in Higher Education, Journal Year: 2024, Volume and Issue: 21(1)
Published: Oct. 16, 2024
Abstract Faculty perspectives on the use of artificial intelligence (AI) in higher education are crucial for AI’s meaningful integration into teaching and learning, yet research is scarce. This paper presents a study designed to gain insight faculty members’ ( N = 122) AI self-efficacy distinct latent profiles, perceived benefits, challenges, use, professional development needs related AI. The respondents saw greater equity as greatest benefit, while students lack literacy was among with majority interested development. Latent class analysis revealed four member profiles: optimistic, critical, critically reflected, neutral. optimistic profile moderates relationship between usage. adequate support services suggested successful sustainable digital transformation.
Language: Английский
Citations
10
Sustainability, Journal Year: 2024, Volume and Issue: 16(13), P. 5354 - 5354
Published: June 24, 2024
The emergence of Artificial Intelligence (AI) technology has significantly disrupted the educational landscape. latest development in AI, generative AI that can generate new and tailored to specific content, impacted education. Given value general users education, such as students, adaptability these technologies increased. However, continuing productive usage tools depends upon students’ satisfaction with tools. Drawing from existing research, present research developed factors affect collected data using a survey questionnaire Saudi Arabian university. two-stage method partial least squares structural equation modeling (PLS-SEM) artificial neural network (ANN) have been employed. is applied way PLS-SEM used for testing hypothesis significance factor’s influence on satisfaction, ANN determine relevant importance factor. results shown content quality, emotional wellbeing perceived utility student show most critical factor followed equally by quality utility.
Language: Английский
Citations
9
Education and Information Technologies, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 22, 2024
Language: Английский
Citations
9
Región Científica, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 3, 2025
Artificial intelligence (AI) represents a set of tools and models that have recently experienced exponential development. Due to its diverse features, it has received significant boost begun be introduced in growing number areas with wide range uses. In developed countries, implementing new technologies related AI the educational sector an obvious advantage regarding path taken. This research analyzed possibilities teaching-learning process from early age Cuba. Based on bibliographic review most relevant background information triangulation statistical data provided by state entities, was collected processed, making possible provide examples guidelines for inserting studied context. Finally, conclusion reached that, under ethical standards, use teaching would constitute very useful tool allow raising level performance both students teachers.
Language: Английский
Citations
1
European Journal of Education, Journal Year: 2025, Volume and Issue: 60(1)
Published: Jan. 7, 2025
ABSTRACT Artificial intelligence (AI) has extensively developed, impacting different sectors of society, including higher education, and attracted the attention various educational stakeholders, leading to a growing number research on its integration into education. Hence, this systematic literature review examines impact integrating AI tools in education students' personal collaborative learning environments. Analysis 148 articles published between 2021 2024 indicates that Tools improve personalised assessments, communication engagement, scaffolding performance motivation. Additionally, they promote environment by providing peer‐learning opportunities, enhanced learner‐content interaction cooperative support. Indeed, strategies such as skills development, ethical use, academic integrity instructional content design. Acknowledged limitations include considerations, particularly privacy bias, which require ongoing attention. it is recommended create good balance AI‐mediated human environments, key area future exploration.
Language: Английский
Citations
1