Many psycholinguistic studies examine how people parse sentences in isolation; however, years of work in discourse processing have shown that sentence-level interpretations are influenced at some stage by discourse-level information. Evidence over the past 20 years remains mixed as to the temporal dynamics of such top-down interactions. In…

Although possible to recall in both forward and backward order, recall proceeds most naturally in the order of encoding. Prior studies ask whether and how forward and backward recall differ. We reexamine this classic question by studying recall dynamics while varying the predictability and timing of forward and backward cues. Although overall…

The way that mothers talk about the past (reminisce) with young children is linked to key memory, language, and socioemotional outcomes. The present research explored the role of a range of child, maternal, socioeconomic, and cultural factors that predict maternal reminiscing style, with a particular focus on maternal personality and child…

People often underestimate their completion times of future tasks or events. The phenomenon of optimistic time prediction is called the planning fallacy. Prior research has demonstrated that individuals are less likely to make optimistic predictions about events that are temporally relatively close. Furthermore, events involving relatively more…

Research has shown that judgments of learning (JOLs) often produce a reactive effect on the learning of cue-target pairs in which target recall differs between participants who provide item-based JOLs at study versus those who do not. Positive reactivity, or the memory improvement found when JOLs are provided, is typically observed on related…

Employees in service-oriented, relationship-based jobs are prone to experiencing feelings of burnout. As such, paraprofessional staff in college housing environments, resident assistants (RAs), are not immune to its effects. Since navigating relationships is the root cause of burnout, it makes sense to focus on the relationships between…

Predictive Processing accounts of autism claim that autistic individuals assign higher precision to their prediction errors than non-autistic individuals, that is, autistic individuals update their predictions more readily when faced with unexpected sensory input. Since setting the level of precision is a fundamental part of perception and…

Neural networks are ubiquitous in applied machine learning for education. Their pervasive success in predictive performance comes alongside a severe weakness, the lack of explainability of their decisions, especially relevant in humancentric fields. We implement five state-of-the-art methodologies for explaining black-box machine learning models…

The aim of this study was to examine the trends in Olympic Games (OLY) and World Long Course Championships (WLC) across three performance categories (1st-3rd, 4th-8th and 9th-16th), and to make predictions for the 2024 OLY. Top 16 rankings were obtained for all OLY and WLC competitions between 2011 and 2019. Linear regression and forecasting…

When human adults make decisions (e.g., wearing a seat belt), we often consider the negative consequences that would ensue if our actions were to fail, even if we have never experienced such a failure. Do the same considerations guide our understanding of other people's decisions? In this paper, we investigated whether adults, who have many years…

Purpose: The purpose of this study is to analyze from multiple perspectives, so as to form an effective massive open online course (MOOC) personalized recommendation method to help learners efficiently obtain MOOC resources. Design/methodology/approach: This study introduced ontology construction technology and a new semantic association algorithm…

In this article, we advocate for and propose a novel concept map driven knowledge tracing (CMKT) model, which utilizes educational concept map for learner modeling. This article particularly addresses the issue of learner data sparseness caused by the unwillingness to practice and irregular learning behaviors on the learner side. CMKT considers…

Working in groups is an important collaboration activity in the educational context, where a variety of factors can influence the prediction of the teams' performance. In the pertinent bibliography, several machine learning models are available for delivering predictions. In this sense, the main goal of the current research is to assess 28…

Aim/Purpose: The purpose of this study is to review and categorize current trends in student engagement and performance prediction using machine learning techniques during online learning in higher education. The goal is to gain a better understanding of student engagement prediction research that is important for current educational planning and…

As they navigate the social and academic expectations of a new college, transfer students commonly suffer "transfer shock," or a sudden drop in GPA. However, little is known about why some students suffer transfer shock, why some bounce back, and the consequences in terms of student retention. This analysis of over 25,000 transfer…