Students using self-directed learning platforms, such as Duolingo, cannot be adequately assessed relying solely on responses to standard learning exercises due to a lack of control over learners' choices in how to utilize the platform: for example, how learners choose to sequence their studying and how much they choose to revisit old material. To…

This research investigates the effects of rater experience on performance ratings in language testing using a systematic review of studies published from 1985 to 2017. Based on a comprehensive literature search of 14 databases, we identified sixteen relevant papers. With these we conducted a narrative review to conceptualize a theoretical…

Measuring similarity of educational items has several applications in the development of adaptive learning systems, and previous research has already proposed a wide range of similarity measures. In this work, we provide an experimental evaluation of selected similarity measures using a large dataset. The used items are alternate-choice questions…

The article, "morphosyntactic peculiarities of the speech of children with Down's syndrome", treats, important aspects of the study of two adjacent branches of linguistics, namely, psycholinguistics and neurolinguistics-Language development of the child accompanied by speech disorders, on the other hand, those morphosyntactic features…

The aim of this research is to reveal the cognitive structures of secondary school students regarding the concepts of "good school" and "good teacher". The survey model was used in this study. The data have been gathered through word association test. The study group of the research consists of 162 secondary school students…

The use of alternate English language proficiency (Alt-ELP) assessments is an emerging phenomenon with real-life consequences for students with complex support needs from language minority homes. Our examination of U.S. state practices during the 2017-2018 academic year for the identification of English learners (ELs) with complex support needs…

Taiwan's central government launched the 2030 Bilingual National Policy in 2018 to develop Taiwan into a Mandarin-English bilingual nation by 2030. It is anticipated that the chain of talent development--education, selection, training, and utilization--should interlock with each other to effectively reach the goal. Being in charge of national…

This systematic review aims to synthesize the literature on the effects of cross-linguistic transfer on Spanish/English bilinguals' reading comprehension skills. The search yielded at least 90 studies in which participants were Spanish/English bilinguals aged birth to Grade 12. Researchers assessed participants' decoding and/or linguistic…

In this study we evaluated the stability of item parameters and student scores, using the pre-equated (pre-pandemic) parameters from Spring 2019 and post-equated (post-pandemic) parameters from Spring 2021 in two calibration and equating designs related to item parameter treatment: re-estimating all anchor parameters (Design 1) and holding the…

Intelligent Tutoring Systems (ITSs) have been developed to provide students with personalized learning experiences by adaptively generating learning paths optimized for each individual. Within the vast scope of ITS, score prediction stands out as an area of study that enables students to construct individually realistic goals based on their…

A gloss refers to a short definition or explanation of the meaning of a word in a text that can assist learners in reading comprehension and vocabulary learning. This study aims to investigate how glosses in English academic texts affect the reading behaviour of ESL undergraduates while reading is taking place. In addition, it also examines the…

The integration of mobile technology in language education represents notable progress, providing a versatile tool for learners of different ages to acquire a language. The poster will focus on research evaluating the efficacy of the Duolingo mobile app in augmenting Russian language proficiency for A1 and B1 level students at the University of…

The primary goal of this project is to assess the students' better communication attainment after applying a series of five interactive strategies to an experiment group of subjects. This class will be compared with a control group of other participants, and in their class, the interactive approaches are not emphasized and practiced openly. The…

This paper studies the use of Reinforcement Learning (RL) policies for optimizing the sequencing of online learning materials to students. Our approach provides an end to end pipeline for automatically deriving and evaluating robust representations of students' interactions and policies for content sequencing in online educational settings. We…

Predicting student success in a data science degree program is a challenging task due to the interdisciplinary nature of the field, the diverse backgrounds of the students, and an incomplete understanding of the precise skills that are most critical to success. In this study, the applicant's future academic performance in a Master of Data Science…