In the world of technology, tools and gadgets, a huge amount of data is produced every second in applications ranging from medical science, education, business, agriculture, economics, retail and telecom. Higher education institutes play an important role in the overall development of any nation. For the successful operation of these institutions,…

Ensuring postsecondary readiness is a goal of K-12 education, but it is unclear whether high school students should get different messages about the required levels of academic preparation depending on their postsecondary trajectories. This study estimated readiness benchmark scores on a college admissions test predictive of earning good grades in…

It is generally assumed that bare numerals (e.g., "three") have two readings: the "exactly" and the "at least" reading. It has been a matter of debate whether one of these two readings is derived from the other pragmatically. To shed light on this question research has aimed at characterizing the processing demands…

This paper surveys the state of the art on prediction in MOOCs through a systematic literature review (SLR). The main objectives are: first, to identify the characteristics of the MOOCs used for prediction, second, to describe the prediction outcomes, third, to classify the prediction features, fourth, to determine the techniques used to predict…

Given the importance of a college degree for both individual and societal economic prosperity, policymakers and educators are focused on strengthening the path to college beyond college entry. In this report, we synthesize the existing literature on four factors key to educational attainment--aspirations and beliefs, academic preparation,…

Success prediction in Massive Open Online Courses (MOOCs) is now tackled in numerous works, but still needs new case studies to compare the solutions proposed. We study here a specific dataset from a French MOOC provided by the OpenClassrooms company, featuring 12 courses. We exploit various features present in the literature and test several…

For the development of successful human-agent dialogue-based tutoring systems, it is essential to understand what makes a human-human tutorial dialogue successful. While there has been much research on dialogue-based intelligent tutoring systems, there have been comparatively fewer studies on analyzing large-scale datasets of human-human online…

Social Cognitive Career Theory (SCCT) presupposes that contextual supports play key roles in the career development process. However, little research has examined the relationship between high school career development experiences and persisting in a college major. The present study examined the predictive influence of the contextual support…

The relative speed concept was chosen since it is linked with the relative nature of motion and it is likely that the students would harbor many alternative conceptions about it. The research objective was to identify the various ways students conceive relative motion. Qualitative data collected in various forms of representation received a…

Target onsets in dynamically changing displays can be predicted when contingencies exist between different stimulus states over time. In the present study, we examined predictive monitoring when participants searched dynamically changing displays of numbers and colored squares for a color target, a number target, or both. Stimuli were presented in…

The aim of this study was to examine how people mentally represent and depict true and false statements about claimed future actions--so-called true and false intentions. On the basis of construal level theory, which proposes that subjectively unlikely events are more abstractly represented than likely ones, we hypothesized that false intentions…

Children's understanding of the quantities represented by number words (i.e., cardinality) is a surprisingly protracted but foundational step in their learning of formal mathematics. The development of cardinal knowledge is related to one or two core, inherent systems--the approximate number system (ANS) and the object tracking system (OTS)--but…

This article describes Learning Analytics (LA) as a predictive and formative approach that enables the planning of educational scenarios in line with students' needs and languages in order to set a priori and in progress systems of control and inspection of the following: consistency, relevance and effectiveness of training objectives, curriculum…

Determining optimal units of representing morphologically complex words in the mental lexicon is a central question in psycholinguistics. Here, we utilize advances in computational sciences to study human morphological processing using statistical models of morphology, particularly the unsupervised Morfessor model that works on the principle of…

One of the core functions of explanation is to support prediction and generalization. However, some explanations license a broader range of predictions than others. For instance, an explanation about biology could be presented as applying to a specific case (e.g., "this bear") or more generally across "all animals." The current…