[HTML][HTML] Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education

TKF Chiu, Q **a, X Zhou, CS Chai, M Cheng - Computers and Education …, 2023 - Elsevier
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 …

A Review of Artificial Intelligence (AI) in Education from 2010 to 2020

X Zhai, X Chu, CS Chai, MSY Jong, A Istenic… - …, 2021 - Wiley Online Library
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 …

[HTML][HTML] Artificial intelligence innovation in education: A twenty-year data-driven historical analysis

C Guan, J Mou, Z Jiang - International Journal of Innovation Studies, 2020 - Elsevier
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 …

Recent advances in Predictive Learning Analytics: A decade systematic review (2012–2022)

N Sghir, A Adadi, M Lahmer - Education and information technologies, 2023 - Springer
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 …

Multimodality of ai for education: Towards artificial general intelligence

GG Lee, L Shi, E Latif, Y Gao, A Bewersdorff… - arxiv preprint arxiv …, 2023 - arxiv.org
This paper presents a comprehensive examination of how multimodal artificial 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

H Munir, B Vogel, A Jacobsson - Information, 2022 - mdpi.com
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 …

Multimodal data capabilities for learning: What can multimodal data tell us about learning?

K Sharma, M Giannakos - British Journal of Educational …, 2020 - Wiley Online Library
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 …

Multimodal learning analytics for game‐based learning

A Emerson, EB Cloude, R Azevedo… - British journal of …, 2020 - Wiley Online Library
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 …

[PDF][PDF] Multimodal learning analytics-Rationale, process, examples, and direction

X Ochoa, C Lang, G Siemens, A Wise… - The handbook of …, 2022 - researchgate.net
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 …

[HTML][HTML] Children's play and problem-solving in motion-based learning technologies using a multi-modal mixed methods approach

S Lee-Cultura, K Sharma, M Giannakos - International Journal of Child …, 2022 - Elsevier
Abstract Motion-Based Learning Technologies (MBLT) offer a promising approach for
integrating play and problem-solving behaviour within children's learning. The proliferation …