Purpose: How older adults engage in predictive processing compared to young adults during sentence processing has been a controversial issue in psycholinguistic research. This study investigated whether age-related differences in predictive processing emerge and how they influence young and older adults' construction of sentential representations…

Previous research has illustrated the potential of flipped learning for assisting teachers in designing meaningful activities to promote students' higher order thinking skills; however, several previous studies have challenged the effects of flipped learning on students' learning. One of the key problems is the lack of an effective learning…

Young children frequently exhibit persistent overconfidence when evaluating their own physical and cognitive abilities. Although task persistence due to overconfidence may be beneficial in some instances, it may also have adverse effects on academic performance. For example, children may reduce cognitive effort because they mistakenly believe that…

Curriculum research is an important tool for understanding complex processes within a degree program. In particular, stochastic graphical models and simulations on related curriculum graphs have been used to make predictions about dropout rates, grades, and degree completion time. There exists, however, little research on changes in the curriculum…

The gap in supply (i.e., shortage) and demand of the STEM workforce have prompted extensive research on identifying factors that predict STEM outcomes and retention of students. Few studies, however, have examined the relationships between STEM outcomes and predictors in an integrated model, taking into account measurement errors in the…

Students often struggle with developing understanding from expository science texts. This study explored whether training students to engage in a POE (Predict-Observe-Explain) study strategy might be beneficial when learning from texts that introduce theories by describing experiments and empirical results, a common style in social science…

How early do children produce multiword utterances? Do children's early utterances reflect abstract syntactic knowledge or are they the result of data-driven learning? We examine this issue through corpus analysis, computational modeling, and adult simulation experiments. Chapter 1 investigates when children start producing multiword utterances;…

This study aimed to explore supervisee and supervisor experiences of relational depth (RD) within the supervisory relationship and its association with supervisee level of counselor self-efficacy (CSE). Participants in the study were master's level counseling students and their doctoral supervisors in a practicum course. A total of 52 supervisees…

Experiences of social rejection can impact individual development in a severe and enduring manner, including significant academic and psychological challenges that span time, relationships, and circumstances. As a result, capacity to assess for social rejection is important to inform early identification and subsequent intervention (McKown et al.,…

Given the growing movement in support of blurring the divisions between language and literature teaching, it has become increasingly vital to understand what language teachers think of literature as a language resource, the approaches they employ when teaching with it, the extent to which they can appreciate, understand, analyse, and interpret…

Teacher retention is a foundational issue and schools have historically struggled to retain teachers. Previous research indicates that teachers leave the profession at high rates before year five of teaching expertise. Lack of teacher retention contributes to instability and lack of trust in school districts. This secondary data study explores…

Math anxiety impacts negatively on the individual's ability to enjoy mathematics, their perception of their own ability in relation to mathematics and results in avoidance of mathematics activities. Self-efficacy, motivation, engagement and attainment are negatively impacted by math anxiety. This study aims to explore the literature to identify if…

Objective: Low emotional intelligence and symptoms of disordered eating are connected, however, whether daily fluctuations in emotional intelligence predict daily changes in disordered eating symptoms has not been examined, nor has stress been explored as a potential moderator of this relationship. Participants: Participants were undergraduate…

Monitoring students' academic progress is vital for ensuring timely completion of their studies and supporting at-risk students. Educational Data Mining (EDM) utilizes machine learning and feature selection to gain insights into student performance. However, many feature selection algorithms lack performance forecasting systems, limiting their…

Predictive learning analytics has been widely explored in educational research to improve student retention and academic success in an introductory programming course in computer science (CS1). General-purpose and interpretable dropout predictions still pose a challenge. Our study aims to reproduce and extend the data analysis of a privacy-first…