Authors :
Hamsajini Suntharalingam
Volume/Issue :
Volume 9 - 2024, Issue 4 - April
Google Scholar :
https://tinyurl.com/2hh5hm72
Scribd :
https://tinyurl.com/yc3wdsc2
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24APR530
Abstract :
This research investigates the application of
artificial intelligence (AI) in digital learning
environments and its impact on learning outcomes. A
comprehensive review of literature was conducted,
encompassing studies from various educational levels
and settings. The analysis reveals promising findings
regarding the effectiveness of AI interventions, including
intelligent tutoring systems, adaptive learning platforms,
virtual assistants, and content recommendation systems,
in enhancing learning outcomes. Learners exhibit high
levels of engagement and satisfaction with AI-enhanced
learning environments, appreciating the interactive
features and personalized support provided by AI
technologies. However, challenges and limitations
associated with AI implementation, such as technical
issues, privacy concerns, and ethical considerations, were
identified. The research contributes valuable insights
into the potential benefits and risks of AI in education,
with implications for both research and practice. Future
research directions include optimizing AI algorithms,
exploring ethical and social implications, and addressing
educator training needs to ensure the successful
integration of AI technologies into teaching and learning
processes.
Keywords :
Artificial Intelligence, Digital Learning, Machine Learning, Natural Language Processing, Adaptive Learning, Education.
This research investigates the application of
artificial intelligence (AI) in digital learning
environments and its impact on learning outcomes. A
comprehensive review of literature was conducted,
encompassing studies from various educational levels
and settings. The analysis reveals promising findings
regarding the effectiveness of AI interventions, including
intelligent tutoring systems, adaptive learning platforms,
virtual assistants, and content recommendation systems,
in enhancing learning outcomes. Learners exhibit high
levels of engagement and satisfaction with AI-enhanced
learning environments, appreciating the interactive
features and personalized support provided by AI
technologies. However, challenges and limitations
associated with AI implementation, such as technical
issues, privacy concerns, and ethical considerations, were
identified. The research contributes valuable insights
into the potential benefits and risks of AI in education,
with implications for both research and practice. Future
research directions include optimizing AI algorithms,
exploring ethical and social implications, and addressing
educator training needs to ensure the successful
integration of AI technologies into teaching and learning
processes.
Keywords :
Artificial Intelligence, Digital Learning, Machine Learning, Natural Language Processing, Adaptive Learning, Education.