Propensity to judge randomly generated, syntactically correct (i.e., bullshit) statements as profound is associated with a variety of conceptually relevant variables (e.g., intuitive cognitive style and supernatural beliefs). Besides generalizing these findings to a different cultural setting, we examined the relationships to sharing the bullshit…

Learning analytics research has used both knowledge engineering and machine learning methods to model student behaviors within the context of digital learning environments. In this paper, we compare these two approaches, as well as a hybrid approach combining the two types of methods. We illustrate the strengths of each approach in the context of…

Purpose: We empirically assessed the results of computational optimization and prediction in communication interfaces that were designed to allow individuals with severe motor speech disorders to select phonemes and generate speech output. Method: Interface layouts were either random or optimized, in which phoneme targets that were likely to be…

Purpose: The mainstream psychology has mostly focused on the negative factors that threaten human mental health. With the emergence of positive psychology approach, the human strengths have started to be studied and the number of studies on the issue of happiness and well-being has increased. The aim of this research is to reveal the level of…

The 2017 ASSISTments Data Mining competition aims to use data from a longitudinal study for predicting a brand-new outcome of students which had never been studied before by the educational data mining research community. Specifically, it facilitates research in developing predictive models that predict whether the first job of a student out of…

In the present work, we explore the development of processing of emotional facial configurations under a predictive processing (or predictive coding) framework. Predictive processing provides a new approach to brain function that has been used to explain a wide range of processes, from perception to socioemotional processing. The explanatory power…

This study focused on the relationship of two dimensions of perfectionism (perfectionistic strivings, and perfectionistic concerns) and academic performance, with the role of academic resilience as mediator. Participants including 132 undergraduate students form age range 18 to 25, from first year to fifth year in their studies mainly from a…

This study investigated whether second language (L2) learners can develop predictive processing of determiners after a brief exposure to a novel language, and whether this depends on learners' awareness for the target structure and their cognitive aptitudes. One hundred L2 learners received auditory exposure to a miniature language based on Fijian…

The academic performance of a student in a university is determined by a number of factors, both academic and non-academic. Student that previously excelled at the secondary school level may lose focus due to peer pressure and social lifestyle while those who previously struggled due to family distractions may be able to focus away from home, and…

PEOE (predict, explain, observe, explain) is a strategy that supports conceptual change (Dial et al. 2009). "Conceptual change" is a process through which students can change their understandings, ideas, or beliefs (diSessa 1993; Konicek-Moran and Keeley 2015). This style of lesson allows students to express their scientific ideas…

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,…