[HTML][HTML] Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education
Applications of artificial intelligence in education (AIEd) are emerging and are new to
researchers and practitioners alike. Reviews of the relevant literature have not examined …
researchers and practitioners alike. Reviews of the relevant literature have not examined …
A Review of Artificial Intelligence (AI) in Education from 2010 to 2020
This study provided a content analysis of studies aiming to disclose how artificial intelligence
(AI) has been applied to the education sector and explore the potential research trends and …
(AI) has been applied to the education sector and explore the potential research trends and …
[HTML][HTML] Artificial intelligence innovation in education: A twenty-year data-driven historical analysis
Reflecting on twenty years of educational research, we retrieved over 400 research article
on the application of artificial intelligence (AI) and deep learning (DL) techniques in teaching …
on the application of artificial intelligence (AI) and deep learning (DL) techniques in teaching …
Recent advances in Predictive Learning Analytics: A decade systematic review (2012–2022)
The last few years have witnessed an upsurge in the number of studies using Machine and
Deep learning models to predict vital academic outcomes based on different kinds and …
Deep learning models to predict vital academic outcomes based on different kinds and …
Multimodality of ai for education: Towards artificial general intelligence
This paper presents a comprehensive examination of how multimodal artificial intelligence
(AI) approaches are paving the way towards the realization of Artificial General Intelligence …
(AI) approaches are paving the way towards the realization of Artificial General Intelligence …
Artificial intelligence and machine learning approaches in digital education: A systematic revision
The use of artificial intelligence and machine learning techniques across all disciplines has
exploded in the past few years, with the ever-growing size of data and the changing needs …
exploded in the past few years, with the ever-growing size of data and the changing needs …
Multimodal data capabilities for learning: What can multimodal data tell us about learning?
Most research on learning technology uses clickstreams and questionnaires as their primary
source of quantitative data. This study presents the outcomes of a systematic literature …
source of quantitative data. This study presents the outcomes of a systematic literature …
Multimodal learning analytics for game‐based learning
A distinctive feature of game‐based learning environments is their capacity to create
learning experiences that are both effective and engaging. Recent advances in sensor …
learning experiences that are both effective and engaging. Recent advances in sensor …
[PDF][PDF] Multimodal learning analytics-Rationale, process, examples, and direction
This chapter is an introduction to the use of multiple modalities of learning trace data to
better understand and feedback learning processes that occur both in digital and face-to …
better understand and feedback learning processes that occur both in digital and face-to …
[HTML][HTML] Children's play and problem-solving in motion-based learning technologies using a multi-modal mixed methods approach
Abstract Motion-Based Learning Technologies (MBLT) offer a promising approach for
integrating play and problem-solving behaviour within children's learning. The proliferation …
integrating play and problem-solving behaviour within children's learning. The proliferation …