This systematic literature review investigates the fairness of machine learning algorithms in educational settings, focusing on recent studies and their proposed solutions to address biases. Applications analyzed include student dropout prediction, performance prediction, forum post classification, and recommender systems. We identify common…

Clinical Question: When assessing a kindergarten student in the area of early reading skills, does dynamic assessment provide additional classification accuracy over and above static, standardized assessments when determining if the student exhibits a difference in early learning experiences or a true disorder? Method: Systematic Review. Study…

Despite the proliferation of video-based instruction and its benefits--such as promoting student autonomy and self-paced learning--the complexities of online teaching remain a challenge. To be effective, educators require extensive training in digital teaching methodologies. As such, there's a pressing need to examine and comprehend the…

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…

Children from low-income environments are at increased risk of developing language delays which can negatively affect later academic and social outcomes. As children age, deficits between children with language delays and their typically developing peers continue to widen. In order to prevent future disabilities, efficient early language screening…