Background and Context: Assessing team members' indivdiual contributions to software development projects poses a key problem for computing instructors. While instructors typically rely on subjective assessments, objective assessments could provide a more robust picture. To explore this possibility, In a 2020 paper, Buffardi presented a…

Motor learning principles guide treatment of childhood apraxia of speech (CAS). Previous studies found children to benefit from higher-intensity conditions; however, they did not control for the total amount of therapy time. The aims of the article are to examine the effects of high versus low treatment frequency in intervention for CAS in…

With a growing interest in research on educational processes, there is a need to overview suitable latent variable models for students' learning experiences in real-time. This tutorial provides an introduction to intraindividual (multilevel) structural equation models (ISEM) for the analysis of process data (e.g. intensive longitudinal,…

Usage-based linguistics posits that communicative functions, including pragmatics, are at the core of language (Tomasello, 1992). It is surprising, then, that pragmatics is rarely systematically included in second language curricula (e.g., Bardovi-Harlig, 2017), especially since pragmatics instruction has been shown to significantly contribute to…

The objective of the article is the correspondence of individual and typological features of the student to the chosen direction, which promotes successful adaptation to study at the university and readiness for future professional activity. The aim is to reveal psychological features of personality of students: doctors, engineers, and jurists.…

Interviews were conducted with 263 licensed users of training software, 68 of whom had used computer-based training (CBT), instructor-led training, and video tutorials. Videos were deemed the least useful. Instructor-led training had the most feedback and media richness, but CBT was an effective low-cost alternative. (SK)

A component analytic method for analyzing multivariate longitudinal data is presented that does not make strong assumptions about the structure of the data. Central to the method are the facts that components are derived as linear composites of the observed or manifest variables and that the components must provide an adequate representation of…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…