Applications of convolutional neural networks in education: A systematic literature review

Silva, Lenardo Chaves e; Sobrinho, Alvaro; Cordeiro, Thiago; Mello, Rafael Ferreira; Bittencourt, Ig Ibert; Marques, Leonardo Brandão; Matos, Diego Dermeval Medeiros da Cunha; Silva, Alan Pedro da; Isotani, Seiji

doi:10.1016/j.eswa.2023.120621

Cited by 6 publications

(1 citation statement)

References 63 publications

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“…Regarding teaching and assessment, Martínez-Comesaña et al ( 2023) address AI's potential to automate and predict the learners' performance at different educational levels. Using convolutional neural networks (Silva et al, 2023) and machine learning (Fahd et al, 2022), and NLP (Zhang et al, 2023) aids the objectivity of the whole evaluation process. Another significant aspect of AI in education is the availability of AI-powered collaborative learning platforms (Ramadevi et al, 2023), which facilitate peer-to-peer learning and cooperation through enhanced group dynamics analytics (Calvo et al, 2011;Diziol et al, 2010).…”

Section: Literature Reviewmentioning

confidence: 99%

The Transformative Trajectory of Artificial Intelligence in Education: The Two Decades of Bibliometric Retrospect

Kavitha,

Joshith

2024

Journal of Educational Technology Systems

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Integrating artificial intelligence (AI) stands out as the most dynamic and innovative breakthrough in introducing disruptive paths in the varied domains of education. This bibliometric analysis delved into the trajectory of AI’s evolving landscape within educational settings over two decades, encompassing 324 articles published from 2003 to 2023, sourced from the Scopus database. The study uncovers a substantial surge in publications with a steep increase from 2020, peaking in 2023. Notably, while established nations like China and the US lead in publications, notable contributions from other developing countries, including Saudi Arabia, India, and Malaysia, underscored a global shift. Key terms, including students, machine learning, AI and higher education, underpin the central focus research areas while emerging themes like “generative AI” and chatbots like “chatgpt” mark the evolving trends. Further, the study prompts sustained global partnerships, interdisciplinary collaborations, and continued exploration of emerging AI technologies to catalyze educational advancements.

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