Artificial Intelligence and Education

Jaakkola, Hannu; Henno, Jaak; Lahti, Anne; Jarvinen, J-P.; Mäkelä, J.

doi:10.23919/mipro48935.2020.9245329

Cited by 12 publications

(3 citation statements)

References 2 publications

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“…Other aspects that are also affected by the development of AI in education include the development of educational markets. The current state of educational markets is largely determined by the role of AI in education [22]. The next aspect that is also an important aspect of achieving the big goal of education is student literacy.…”

Section: Other Aspects Of Educationmentioning

confidence: 99%

Integration of Artificial Intelligence in Education: Opportunities, Challenges, Threats and Obstacles. A Literature Review.

Saputra,

Astuti,

Sayuti

et al. 2023

ijcs

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The research background is the rapid development of AI which affects various aspects of education. The purpose of this study is to analyze in depth about the opportunities, challenges, threats and obstacles to the implementation of AI in education. The research method used in this study is semy-systematic literature review. The analysis technique used is a meta-narrative approach that includes the process of identifying, analyzing, recognizing patterns and topic-related themes. The results describe that AI opportunities in education are related to the delivery of learning materials, evaluation, management systems, and educational policy making. Meanwhile, the challenges are related to pedagogy, educational frameworks, and literacy. Threats that arise are related to the security of personal data, character building and educational ethics. Finally, obstacles that arise include the high costs required, limited teacher and professional training schemes in preparing AI competencies, and slow changes in curriculum structure and structural level of education.

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Section: Other Aspects Of Educationmentioning

confidence: 99%

Integration of Artificial Intelligence in Education: Opportunities, Challenges, Threats and Obstacles. A Literature Review.

Saputra,

Astuti,

Sayuti

et al. 2023

ijcs

View full text Add to dashboard Cite

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“…As noted by Ruangkanjanases et al (Ruangkanjanases et al, 2020), technology has long been incorporated into our lives. Yet, its role in education is under scrutiny, as AI's benefits for learners, educators, and institutions are due to the wider availability of remote devices and online curricula (Jaakkola et al, 2020). With the rise of Artificial Intelligence, this technology is helping in many ways (Raj & Seamans, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…As noted by Thao & Van Anh (Thao & Van Anh, 2020), the conventional patterns of formal education, grading, results, and interaction between educators Lee, 2017a). According to Ruangkanjanases et al (Ruangkanjanases et al, 2020), Artificial Intelligence in Learning Management Systems is equipped with some primary qualities, including perceptions, Reasoning, problem-solving, language processing, and others (Cavus et al, 2021;Davenport & Ronanki, 2018;Jaakkola et al, 2020). These qualities help the LMS system to deal effectively with queries, student record keeping, and content management.…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence in Learning Management System: A Case Study of the Students of Mass Communication

Ali

Yousaf

Behlol

2023

Voyage Journal of Educational Sciences

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Artificial Intelligence (AI) in learning and education is not new. However, the rise of the Covid-19 pandemic led to a focus on its role in Learning Management Systems (LMS). This study also examined the role of AI in the LMS with features including Natural Language Processing and Reasoning. The researchers used a self-proposed model and gathered data from the mass communication students in two public sector universities in Pakistan. Results revealed that Artificial Intelligence is integral to Learning Management Systems (LMS) in the selected institutions. Further, the effect of Natural Language Processing (NLP) on Reasoning indicated these two factors as interlinked, improving the quality of LMS. Additionally, Natural Language Processing significantly mediated the effect of AI on the LMS, showing that language processing facilitates LMS usage among students. Finally, the results also indicated the significant mediation effect of Reasoning on the relationship s between AI and the LMS. Overall, the results also remained supported towards the incorporation of Artificial Intelligence (AI) along with Natural Language Processing (NLP) and Reasoning in Learning Management Systems (LMS). The researchers conclude that AI in Learning Management Systems is widely applied in Pakistani institutions. The young students also acknowledge the benefits of AI-enabled LMS that have enhanced their learning experiences and provided them with logical solutions and answers to their complex queries. Further, the study limitations are discussed and highlighted accordingly.

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Integrating LLMs in Higher Education, Through Interactive Problem Solving and Tutoring: Algorithmic Approach and Use Cases

Bakas,

Papadaki,

Vagianou

et al. 2024

Lecture Notes in Business Information Processing

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Artificial Intelligence and Education

Cited by 12 publications

References 2 publications

Integration of Artificial Intelligence in Education: Opportunities, Challenges, Threats and Obstacles. A Literature Review.

Integration of Artificial Intelligence in Education: Opportunities, Challenges, Threats and Obstacles. A Literature Review.

Artificial Intelligence in Learning Management System: A Case Study of the Students of Mass Communication

Integrating LLMs in Higher Education, Through Interactive Problem Solving and Tutoring: Algorithmic Approach and Use Cases

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