… Taking action is the ultimate goal of any learning analytics process and the results of follow-up
actions will determine the success or failure of our analytical efforts (Siemens, 2013). So, …

… established work to use learning analytics as a research tool (analytics of collaborative
learning—ACL). Beyond this potential though, we discuss the use of analytics as a mediational …

… realize the potential of games as learning tools. This chapter explores the … learning analytics
(an emerging research and assessment tool in educational settings) and game analytics (an …

… In reviewing the state of learning analytics research in terms of both inclusiveness and …
improvement of learning analytics approaches in this context. We found that learning analytics in …

… Numerous techniques based on machine learning, data mining, and knowledge … learning
analysis and suggestion, as well as learning comprehension. Artificial intelligence education …

… However, reliable and scalable analysis of large imaging datasets in three … learning-based
framework to quantify and analyze brain vasculature, named Vessel Segmentation & Analysis …

… We widely classified techniques used in big data analytics into the following six categories:
machine learning/data mining techniques, cloud computing, semantic network analysis/web …

… While most discussions centred on the ethics of AIED and the related field of learning analytics
focus on data (eg, biases, privacy, and data ownership) and how that data is analysed (eg…

… A machine learning analysis using Word2Vec and GloVe embeddings | AI & SOCIETY … In
this analysis, we are not handling any evidence about the gravity of these attributes. Instead, …

… , a state-of-the-art analysis of the ongoing machine learning (ML) and deep learning (DL) …
Moreover, a comparative analysis on the impact of machine learning and other competitive …