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…

The use of Learning Management System (LMS) is widespread in academic institutions across worldwide as technology integration in education keeps evolving. This study aims at investigating students' acceptance of using LMS for online testing. Additionally, the study seeks to thoroughly examine the reasons that lead to their acceptance of this…

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…

This study examines the role of receptive vocabulary knowledge on outcomes of the TOEFL reading comprehension task. Participants included 18 native speakers of Spanish learning English as a foreign language and 17 native speakers of English ranging in age from 19-25 years. Lexical stimuli were presented auditorily and were divided into…

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…

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…

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…

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…

Email remains a key mode of communication between faculty and students in higher education institutions. Composing appropriate email texts is an important skill for learners; however, little technological support is available for the pragmatic aspect of email communication -- the ways in which social context influences language choices.…

This study examined the use of a popular Automatic Speech Recognition (ASR), Google Voice Typing (GVT), to automatically assess English as second language pronunciation. It aimed to answer the following question: What is the relationship between GVT-rated scores and human-rated scores? To answer this question, we compared audio recordings of 56…

Language learners are underserved if there are unlearned meanings of a word that they think they have already learned. For example, "circle" as a noun is well known, whereas its use as a verb is not. For artificial-intelligence-based support systems for learning vocabulary, assessing each learner's knowledge of such atypical but common…

This paper focuses on Partial and Synchronized Caption (PSC) as a tool to train L2 listening and introduces new features to facilitate speech-related difficulties. PSC is an intelligent caption that extensively processes the audio and transcript to detect and present difficult words or phrases for L2 learners. With the new features, learners can…

Questions exist as to whether AI tools, such as ChatGPT, can aid learning. This study examined whether in-class exercises involving error detection in text generated by ChatGPT can aid students' foreign language writing. Participants were Arabic-English speakers who were classified as ranging from modest to competent English users according to…