The research on language acquisition and retention has primarily focused on monolinguals and bilinguals, with comparatively few studies including trilinguals. To address this gap, the current study compares the acquisition and retention of a novel morphosyntactic rule in Spanish in twelve monolinguals, twelve bilinguals, and twelve trilinguals.…

Objective: Over one-third of college students are overweight or obese and rates are rising. Whole body vibration (WBV) training could prevent weight gain but has not been tested in college students. Methods: Randomized controlled trial comparing thrice weekly WBV for 6 months to controls (CON) in undergraduate students. Feasibility included…

Access to body-based resources has been shown to augment cognitive processes, but not all movements equally aid reasoning. Interactive technologies, like dynamic geometry systems (DGS), potentially amplify the link between movement and geometric representation, thereby deepening students' understanding of geometric properties. This study…

We present two types of validity evidence to support inferences and decisions about use of easyCBMs in relation to state testing programs. The first type involves the use of Benchmarks in reading to use in making predictions of performance on the Smarter Balanced (SB) test. These predictions can be made both well in advance (several months) or…

Increasing productivity in educational systems is of great importance. Researchers are keen to predict the academic performance of students; this is done to enhance the overall productivity of educational system by effectively identifying students whose performance is below average. This universal concern has been combined with data science…

Automated Essay Scoring (AES) can reliably grade essays at scale and reduce human effort in both classroom and commercial settings. There are currently three dominant supervised learning paradigms for building AES models: feature-based, neural, and hybrid. While feature-based models are more explainable, neural network models often outperform…

In educational applications, "Knowledge Tracing" (KT) has been widely studied for decades as it is considered a fundamental task towards adaptive online learning. Among proposed KT methods, Deep Knowledge Tracing (DKT) and its variants are by far the most effective ones due to the high flexibility of the neural network. However, DKT…

Recommender systems in educational contexts have proven effective to identify learning resources that fit the interests and needs of learners. Their usage has been of special interest in online self-learning scenarios to increase student retention and improve the learning experience. In current recommendation techniques, and in particular, in…

With the recent advancements in digital technologies, the design studios are transformed to virtual environments that offer both to design students and instructors a broader perspective in understanding the design process. As an integral part of design process, the supporting virtual tools enhance creativity in basic design studios. This study…

In a global context increasingly prone to e-learning formats at all levels of education, especially in and after the context of the COVID-19 pandemic, the acquisition of skills in distance learning programmes should not differ from the ones in onsite learning programmes. The main objective of this study is to analyse the perception that master's…

Background/Context: Chronic absenteeism is a serious problem that has been linked to lower academic achievement, diminished socioemotional skills, and an increased likelihood of high school dropout (Allensworth et al., 2021; Gottfried, 2014). As a result, many schools have begun to embrace early warning systems (EWS) as a tool to identify and flag…

The COVID-19 pandemic has led to a global crisis resulting in lockdowns worldwide. Studies found that these could amplify negative affects predictive of disturbances in time perception. However, all existing studies on this topic concentrated on the general population during a lockdown at home. There was no research on university students living…

This exploratory study aimed to investigate the characteristics of students who opted in to use Boost, an automated student-support mobile app, and compare them to characteristics of Boost nonusers. Boost integrates with a learning management system (Canvas) and provides support services aimed at improving student behavior and success. At the…

Despite less than 10% of South Africans claiming English as their home language, it has become the de facto language of instruction. Yet we cannot assume that teachers have sufficient command of this language when using it for instructional purposes. As a sub-study, in this article we report on the oral proficiency of isiZulu-speaking pre-service…

Objective: To examine the use of transportation networking companies (TNCs) (eg, Uber) among substance-using students in rural and urban college settings. Participants: Students at two large state universities were randomly selected and screened for substance use. Participants reported use of TNCs generally and after substance use and whether TNC…