Reading comprehension assessments often vary from one measure to another related to the response format required, passage length and other variables. Yet, these measures purport to assess the same skill of reading comprehension, and they are often used interchangeably. Over the last decade some reading researchers have raised concerns that the…

In a world where everything involves data, an application of it became essential to the decision-making process. The Case Method approach is necessary for Data Science education to expose students to real scenarios that challenge them to develop the appropriate skills to deal with practical problems by providing solutions for different activities.…

Since zero-tolerance policies were put into effect, suspension rates have risen dramatically in the United States (Ayers et al., 2001). This fact is unsettling because research shows that suspension has a negative impact on both academic achievement and poor life outcomes (Rausch & Skiba, 2005). The goal of this quantitative study was to…

The National Assessment of Educational Progress (NAEP) program only reports state-level subgroup results if it samples at least 62 students identifying with the subgroup. Since some subgroups constitute small proportions of many states' general student populations, these minority subgroups are seldom sufficiently sampled to meet this sample size…

Understanding how a child's language system develops into an adult-like system is a central question in language development research. An increasingly influential account proposes that the brain constantly generates top-down predictions and matches them against incoming input, with higher-level cognitive models serving to minimize prediction…

Informal digital learning of English (IDLE) is an increasingly important subfield of inquiry in Computer-Assisted Language Learning (CALL) for its concentration on the language learning practices of the digital native EFL students in out-of-class contexts. Attention in mainstream research of IDLE has been directed to (meta)cognition, learning…

We propose a novel model, Wide & Deep Item Response Theory (Wide & Deep IRT), to predict the correctness of students' responses to questions using historical clickstream data. This model combines the strengths of conventional Item Response Theory (IRT) models and Wide & Deep Learning for Recommender Systems. By leveraging clickstream…

Natural languages contain systematic relationships between verb meaning and verb argument structure. Artificial language learning studies typically remove those relationships and instead pair verb meanings randomly with structures. Adult participants in such studies can detect statistical regularities associated with words in these languages and…

This longitudinal, mixed-methods study reports on the development and implementation of an early phonological awareness screening and intervention program for struggling emergent readers in a French immersion school in Manitoba. The program was created by a professional learning community made up of the school administrator, teachers, and clinical…

Peer relationships play important roles in middle-school students' individual development. Peer support is indispensable in computer-supported learning contexts. This study is designed to explore the connection between perceived peer support and deeper learning, while examining the mediating role of computer self-efficacy and perceived classroom…

Second-language (L2) learner motivation has been a thriving subfield within L2 acquisition research for decades, particularly since the development of the L2 Motivational Self System (L2MSS), a multi-faceted motivational theory. This survey-based study examines (1) whether L2MSS facets differ between students intending to continue (or discontinue)…

In this study, we investigate how the accumulation of stressful life events and chronic stressors experienced in adolescence predict young adults' future self-identification (i.e., connectedness, vividness, and valence of the future self) in a sample of 1482 Swiss youth. Furthermore, we investigate future self-identification as a source of…

Throughout the COVID-19 pandemic, commentators in broadly accessible media have offered a surfeit of predictions about the future of higher education. Due to the absence of accountability mechanisms, however, the accuracy of these claims has been heretofore unknown. Research shows that op-eds and other forms of public scholarship influence public…

Classroom climate has been considered as an important factor influencing students' learning motivation, achievement and psychological and behavioural health in schools. With the data from German National Educational Panel Study and the latent profile approach, we explored students' perception of German classroom climate including learning and…

Usage-based theories hold that mental representation of language is shaped by a lifetime of usage. Both input to which first language (L1) and second language (L2) users are exposed and their own language production affect their construction learning and entrenchment. The present study investigates L2 users' knowledge of two…