What mathematics in the future marked by AI DOI Creative Commons
Alessio Drivet

International Journal of Computational and Applied Mathematics & Computer Science, Год журнала: 2024, Номер 4, С. 138 - 145

Опубликована: Дек. 11, 2024

The text addresses a significant topic: the relationship between mathematics and artificial intelligence. In particular, focus is on most involved issues which tools can be used to present relevant topics current students. As an aid understanding, program in Python exemplifies mathematical addressed.

Язык: Английский

Chatbots and AI in Education (AIEd) tools: The good, the bad, and the ugly DOI Open Access
Augustine O. Ifelebuegu,

Peace Kulume,

Perpetua Cherukut

и другие.

Journal of Applied Learning & Teaching, Год журнала: 2023, Номер 6(2)

Опубликована: Сен. 26, 2023

As the application of Artificial Intelligence (AI) continues to permeate various sectors, educational landscape is no exception. Several AI in education (AIEd) applications, like chatbots, present an intriguing array opportunities and challenges. This paper provides in-depth exploration use role research, focusing on benefits (the good) potential pitfalls bad ugly) associated with deployment chatbots other AIEDs. The explored include personalised learning, facilitation administrative tasks, enriched research capabilities, provision a platform for collaboration. These advantages are balanced against downsides, such as job displacement, misinformation, plagiarism, erosion human connection. Ethical considerations, particularly concerning data privacy, bias reinforcement, digital divide, also examined. Conclusions drawn from this analysis stress importance striking balance between capabilities elements education, well developing comprehensive ethical frameworks contexts.

Язык: Английский

Процитировано

39

Exploring the impact of integrating AI tools in higher education using the Zone of Proximal Development DOI
Lianyu Cai, Msafiri Mgambi Msambwa, Daniel Kangwa

и другие.

Education and Information Technologies, Год журнала: 2024, Номер unknown

Опубликована: Окт. 22, 2024

Язык: Английский

Процитировано

11

Bibliometric Overview of ChatGPT: New Perspectives in Social Sciences DOI Creative Commons
Marian Oliński, Krzysztof Krukowski, Kacper Sieciński

и другие.

Publications, Год журнала: 2024, Номер 12(1), С. 9 - 9

Опубликована: Март 21, 2024

This study delves into a bibliometric analysis of ChatGPT, an AI tool adept at analysing and generating text, highlighting its influence in the realm social sciences. By harnessing data from Scopus database, total 814 relevant publications were selected scrutinised through VOSviewer, focusing on elements such as co-citations, keywords international collaborations. The objective is to unearth prevailing trends knowledge gaps scholarly discourse regarding ChatGPT’s application Concentrating articles year 2023, this underscores rapid evolution research domain, reflecting ongoing digital transformation society. presents broad thematic picture analysed works, indicating diversity perspectives—from ethical technological sociological—regarding implementation ChatGPT fields reveals interest various aspects using which may suggest certain openness educational sector adopting new technologies teaching process. These observations make contribution field sciences, suggesting potential directions for future research, policy or practice, especially less represented areas socio-legal implications AI, advocating multidisciplinary approach.

Язык: Английский

Процитировано

9

The Impact of AI on the Personal and Collaborative Learning Environments in Higher Education DOI Open Access
Msafiri Mgambi Msambwa, Zhang Wen, Daniel Kangwa

и другие.

European Journal of Education, Год журнала: 2025, Номер 60(1)

Опубликована: Янв. 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.

Язык: Английский

Процитировано

1

AI and the advent of the cyborg behavioral scientist DOI Creative Commons
Geoff Tomaino, Alan Cooke,

Jim Hoover

и другие.

Journal of Consumer Psychology, Год журнала: 2025, Номер unknown

Опубликована: Март 16, 2025

Язык: Английский

Процитировано

1

GPT-4 in Education: Evaluating Aptness, Reliability, and Loss of Coherence in Solving Calculus Problems and Grading Submissions DOI Creative Commons
Alberto Gandolfi

International Journal of Artificial Intelligence in Education, Год журнала: 2024, Номер 35(1), С. 367 - 397

Опубликована: Май 5, 2024

Abstract In this paper, we initially investigate the capabilities of GPT-3 5 and GPT-4 in solving college-level calculus problems, an essential segment mathematics that remains under-explored so far. Although improving upon earlier versions, attains approximately 65% accuracy for standard problems decreases to 20% competition-like scenarios. Overall, models prove be unreliable due common arithmetic errors. Our primary contribution lies then examining use ChatGPT grading solutions exercises. objectives are probe in-context learning task with less emphasis over direct calculations; recognize positive applications educational contexts; highlight a potentially emerging facet AI could necessitate oversight; introduce unconventional benchmarks, which like GPT untrained. Pertaining latter, uncover tendency loss coherence extended contexts. findings suggest while current exhibits comprehension often provides relevant outputs, consistency is marred by occasional hallucinations. Intriguingly, GPT-4's overall scores, delivered mere moments, align closely human graders, although its detailed suboptimal. This work suggests that, when appropriately orchestrated, collaboration between graders LLMs might combine their unique strengths mitigating respective shortcomings direction, it imperative consider implementing transparency, fairness, appropriate regulations near future.

Язык: Английский

Процитировано

6

A Systematic Review and Comprehensive Analysis of Pioneering AI Chatbot Models from Education to Healthcare: ChatGPT, Bard, Llama, Ernie and Grok DOI Creative Commons

Ketmanto Wangsa,

Shakir Karim, Ergun Gide

и другие.

Future Internet, Год журнала: 2024, Номер 16(7), С. 219 - 219

Опубликована: Июнь 22, 2024

AI chatbots have emerged as powerful tools for providing text-based solutions to a wide range of everyday challenges. Selecting the appropriate chatbot is crucial optimising outcomes. This paper presents comprehensive comparative analysis five leading chatbots: ChatGPT, Bard, Llama, Ernie, and Grok. The based on systematic review 28 scholarly articles. indicates that developed by OpenAI, excels in educational, medical, humanities, writing applications but struggles with real-time data accuracy lacks open-source flexibility. powered Google, leverages internet problem solving shows potential competitive quiz environments, albeit performance variability inconsistencies responses. an model from Meta, demonstrates significant promise medical contexts, natural language processing, personalised educational tools, yet it requires substantial computational resources. Baidu, specialises Chinese tasks, thus localised advantages may not extend globally due restrictive policies. Grok, Xai still its early stages, engaging, interactions, humour, mathematical reasoning capabilities, full remains be evaluated through further development empirical testing. findings underscore context-dependent utility each absence singularly superior chatbot. Future research should expand include wider fields, explore practical applications, address concerns related privacy, ethics, security, responsible deployment these technologies.

Язык: Английский

Процитировано

5

Current practices and future direction of artificial intelligence in mathematics education: A systematic review DOI
Liz Aliza Awang, Farrah Dina Yusop, Mahmoud Danaee

и другие.

International Electronic Journal of Mathematics Education, Год журнала: 2025, Номер 20(2), С. em0823 - em0823

Опубликована: Фев. 19, 2025

Mastering mathematics is often challenging for many students; however, the rise of artificial intelligence (AI) offers numerous advantages, including enhanced data analysis, automated feedback, and potential creating more interactive engaging learning environments. Despite these benefits, there a need comprehensive reviews that provide an overview AI's role in education to help educators identify best AI tools, inform researchers about current trends future directions. This study conducts systematic literature review (SLR) investigate applications by examining articles published reputable journals indexed Web Science Scopus. The categorizes tools into those narrowly addressing mathematical problems, such as solving equations visualizing geometry, offering broader pedagogical support, adaptive systems generative platforms. Key aspects analyzed include distribution Mathematics Education (AIME) studies across different educational levels, types categories used, functionality commercialized AIME available on internet, emerging directions based recent literature. insights from this SLR are crucial educators, policymakers, researchers, enabling them integrate effectively tailor specific teaching strategies needs.

Язык: Английский

Процитировано

0

Balancing innovation and ethics: promote academic integrity through support and effective use of GenAI tools in higher education DOI
Daniel Kangwa, Msafiri Mgambi Msambwa, Antony Fute

и другие.

AI and Ethics, Год журнала: 2025, Номер unknown

Опубликована: Март 11, 2025

Язык: Английский

Процитировано

0

Comparing and assessing four AI chatbots’ competence in economics DOI Creative Commons
Patrik T. Hultberg, David Santandreu Calonge, Firuz Kamalov

и другие.

PLoS ONE, Год журнала: 2024, Номер 19(5), С. e0297804 - e0297804

Опубликована: Май 8, 2024

Artificial Intelligence (AI) chatbots have emerged as powerful tools in modern academic endeavors, presenting both opportunities and challenges the learning landscape. They can provide content information analysis across most disciplines, but significant differences exist terms of response accuracy for conclusions explanations, well word counts. This study explores four distinct AI chatbots, GPT-3.5, GPT-4, Bard, LLaMA 2, quality explanations context university-level economics. Leveraging Bloom’s taxonomy cognitive complexity a guiding framework, confronts with standard test understanding economics, more advanced economics problems. The null hypothesis that all perform equally on prompts explore is rejected. results are observed these exacerbated economics-related increased. These findings relevant to students educators; choose appropriate better understand concepts thought processes, while educators design their instruction assessment recognizing support resources access through chatbot platforms.

Язык: Английский

Процитировано

4