Data-Driven Artificial Intelligence in Education: A Comprehensive Review

Abstract

As Education constitutes an essential development standard for individuals and societies, researchers have been exploring the use of Artificial Intelligence (AI) in this domain and have embedded the technology within it through a myriad of applications. In order to provide a detailed overview of the efforts, this article pays particular attention to these developments by highlighting key application areas of data-driven AI in Education; it also analyzes existing tools, research trends, as well as limitations of the role data-driven AI can play in Education. In particular, the article reviews various applications of AI in Education including student grading and assessments, student retention and drop-out predictions, sentiment analysis, intelligent tutoring, classroom monitoring and recommender systems. The article also provides detailed bibliometric analysis to highlight the salient research trends in AI in Education over seven years (2014)(2015)(2016)(2017)(2018)(2019)(2020) and further provides detailed description of the tools and platforms developed as the outcome of research and development

Human Transformation (HX) in the Age of AI and the Challenges of Education through the Post-Human Debate

“…Con el uso de la IA, la educación se aleja del enfoque único que suele estar presente en el aprendizaje en grupo para lograr una optimización individual del mismo, de forma que se respeten las necesidades y estilos individuales de los alumnos. Mediante la optimización individual del aprendizaje, la educación puede ser más específica y adaptarse mejor a los intereses y aspiraciones de aprendizaje individuales (Ahmad et al, 2023).…”

A Social Perspective on AI in the Higher Education System: A Semisystematic Literature Review

“…It is worthwhile to mention that most published papers in the literature regarding AIED focused on pedagogical and managerial stakeholders rather than technological stakeholders. However, their role could be affected by AI adoption in educational settings, especially with the urgent need for an AI specialist workforce [10,14,35]. They need to adapt their skill sets to accommodate the development, implementation, and maintenance of AI systems.…”

“…In our context, Artificial Intelligence in Education (AIED) refers specifically to the adoption of AI technology in educational settings [12]. It encompasses the integration of intelligent systems, machine learning algorithms, and AI-based tools into the teaching and learning processes [11,13,14]. AIED aims to enhance educational outcomes by providing personalized learning experiences, automating administrative tasks, and facilitating the development of innovative instructional methods [10].…”

Artificial intelligence in biology and learning biology: A literature review

“…The use of AI in education has consistently expanded and grow by 47% in the 2018-2022 period in the United States (Ahmad et al, 2023). The presence of AI has changed the paradigm of education, especially higher education, especially with the development of Intelligence Tutorial System (ITS), Teaching Course Content, Evaluation and Assessment, Adaptive Systems, and Personalized which seems to have reduced the role of the teacher (Zawacki-Richter et al, 2019).…”