Artificial Intelligence and Management of Knowledge in Language Education: Potentials and Challenges
Fuente:
Zenodo
Enregistré dans:
| Auteurs principaux: | , , |
|---|---|
| Format: | Recurso digital |
| Publié: |
Zenodo
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866901247456444416 |
|---|---|
| author | Gift Ukpai Salihu S. Musa Emilia Andorshiye John |
| author_facet | Gift Ukpai Salihu S. Musa Emilia Andorshiye John |
| contents | <p>Artificial Intelligence AI is increasingly being implemented across various fields due to its numerous benefits. Knowledge management defined as the practice of applying information and strategies for learning is particularly important in education to enhance decision-making through improved information application and sharing. This study investigates the potential benefits and challenges of AI-powered knowledge management in language education. Using a systematic literature review the study synthesizes current research to explore the transformative impact of AI on knowledge management in language education. It identifies gaps in existing studies on the potential benefits and challenges of integrating AI into this field.rn The findings reveal that AI-powered knowledge management offers significant benefits in language education including personalized learning efficient resource management automated feedback and improved collaboration. However challenges such as data privacy concerns potential biases in AI systems limitations in technical infrastructure and the need for user adaptation through training were also identified. The study concludes that while the integration of AI-powered knowledge management in language education has transformative potential addressing its associated challenges is critical to realizing its full benefits. Educators in educational technology language education and library and information science should focus on developing AI algorithms tailored to individual learning needs supporting adaptive feedback and real-time progress tracking equip future information professionals with skills in AI-powered knowledge management through hands-on training in AI-based tools data ethics and digital resource management and integrate AI-driven knowledge management tools in language instruction to enhance learner engagement vocabulary retention and personalized learning utilizing adaptive technologies as supportive aids rather than replacements.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_16920318 |
| institution | Zenodo |
| language | |
| publishDate | 2024 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Artificial Intelligence and Management of Knowledge in Language Education: Potentials and Challenges Gift Ukpai Salihu S. Musa Emilia Andorshiye John Artificial Intelligence and Management of Knowledge in Language Education: Potentials and Challenges <p>Artificial Intelligence AI is increasingly being implemented across various fields due to its numerous benefits. Knowledge management defined as the practice of applying information and strategies for learning is particularly important in education to enhance decision-making through improved information application and sharing. This study investigates the potential benefits and challenges of AI-powered knowledge management in language education. Using a systematic literature review the study synthesizes current research to explore the transformative impact of AI on knowledge management in language education. It identifies gaps in existing studies on the potential benefits and challenges of integrating AI into this field.rn The findings reveal that AI-powered knowledge management offers significant benefits in language education including personalized learning efficient resource management automated feedback and improved collaboration. However challenges such as data privacy concerns potential biases in AI systems limitations in technical infrastructure and the need for user adaptation through training were also identified. The study concludes that while the integration of AI-powered knowledge management in language education has transformative potential addressing its associated challenges is critical to realizing its full benefits. Educators in educational technology language education and library and information science should focus on developing AI algorithms tailored to individual learning needs supporting adaptive feedback and real-time progress tracking equip future information professionals with skills in AI-powered knowledge management through hands-on training in AI-based tools data ethics and digital resource management and integrate AI-driven knowledge management tools in language instruction to enhance learner engagement vocabulary retention and personalized learning utilizing adaptive technologies as supportive aids rather than replacements.</p> |
| title | Artificial Intelligence and Management of Knowledge in Language Education: Potentials and Challenges |
| topic | Artificial Intelligence and Management of Knowledge in Language Education: Potentials and Challenges |
| url | https://doi.org/10.5281/zenodo.16920318 |