Mapping Artificial Intelligence and Education

Kavitha, P.; Moorthy, Bhagavatula; Sudharshan, P.S; Aarthi, T

doi:10.1109/ic3iot.2018.8668123

Cited by 5 publications

(2 citation statements)

References 3 publications

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“…In line with these developments, the beginning of the new millennium highlights an impressive process of growth, maturation, and evolution of artificial intelligence in education (AIEd) [12]. As such, AI has already been utilized in predicting students' achievement [13], identifying atrisk students in earlier stages [14,15], determining the main factors that will affect students' performance [16], conducting performance evaluation, providing descriptive information about them and contributing to teaching process [17], creating flexible, efficient learning tools, and implementing adaptive learning techniques [18]. Additionally, AI systems can drive increased student engagement leading to improved learning outcomes, integrate technologies involving interactivity, dialogue, automated question generation, and learning analytics [19].…”

Section: A Snapshot Of Artificial Intelligencementioning

confidence: 99%

Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century

et al. 2021

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Artificial intelligence (AI) has penetrated every layer of our lives, and education is not immune to the effects of AI. In this regard, this study examines AI studies in education in half a century (1970–2020) through a systematic review approach and benefits from social network analysis and text-mining approaches. Accordingly, the research identifies three research clusters (1) artificial intelligence, (2) pedagogical, and (3) technological issues, and suggests five broad research themes which are (1) adaptive learning and personalization of education through AI-based practices, (2) deep learning and machine Learning algorithms for online learning processes, (3) Educational human-AI interaction, (4) educational use of AI-generated data, and (5) AI in higher education. The study also highlights that ethics in AI studies is an ignored research area.

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Section: A Snapshot Of Artificial Intelligencementioning

confidence: 99%

Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century

et al. 2021

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“…While designing it, the theoretical knowledge of students is considered that consists of simplified practical questions and the ability of students in thinking and solving the problems. Again in the same year, the integration of education and AI is characterized by Kavitha, P., et al (2018), for streamlining the learning process through the adaptive technique of learning using clustering methods and interaction traces based Bayesian student model [20]. Their proposed model helps in inventing the weaknesses and strengths of students.…”

Section: Related Workmentioning

confidence: 99%