Over the last decade, there has been great research interest in the application of artificial intelligence (AI) in various fields, such as medicine, finance, and law. Recently, there has been a research focus on the application of AI in education, where it has great potential. Therefore, a systematic review of the literature on AI in education is…

The growing use of machine learning for the data-driven study of social issues and the implementation of data-driven decision processes has required researchers to re-examine the often implicit assumption that datadriven models are neutral and free of biases. The careful examination of machine-learned models has identified examples of how existing…

Question classification is a key point in many applications, such as Question Answering (QA, e.g., Yahoo! Answers), Information Retrieval (IR, e.g., Google search engine), and E-learning systems (e.g., Bloom's tax. classifiers). This paper aims to carry out a systematic review of the literature on automatic question classifiers and the technology…

Argues that early childhood experiences with processes as diverse as language, mathematics, emotion, and music determine which neurons grow and remain active in the brain. Early exposure to these processes results in receptive programming. Discusses the implications for schools, teachers, and parents. (MJP)

The prevalence of underprepared students attending colleges, the need to define literacy requirements of courses, the implications of research on literacy in the design of remedial programs, and the need for systematic evaluation of such programs are considered. Literacy is broadly defined as a language competence that is used to achieve both…