Artificial intelligence (AI) has been rapidly developing, both in the education field and beyond, in recent years. Due to this fast-paced nature, special education teachers may not be aware of the availability of AI that could be pertinent to their practice. In this manuscript, five AI platforms that are readily available for special education…

The application of natural language processing (NLP) technology in the field of education has attracted considerable attention. This study takes 716 articles from the Web of Science database from 1998 to 2023 as its research sample. Using bibliometrics as the theoretical foundation, and employing methods such as literature review and knowledge…

This study evaluated the effect of peer-assisted learning strategies (PALS) intervention on the language and story comprehension skills of two kindergartners with developmental delays from a special education class while reading a digital storybook. The study was conducted in Taiwan with participants who spoke Mandarin Chinese. This study was a…

English speaking is considered the most difficult and anxiety-provoking language skill for EFL learners due to lack of access to authentic language use, fear of making mistakes, and peers' negative comments. With automatic speech recognition and natural language processing, intelligent personal assistants (IPAs) have potential in foreign language…

The aim of this research is to investigate the educational potential of AI-powered chatbots in Social Studies learning-teaching processes. The study was conducted using embedded design, evaluated within the framework of mixed methods research. The study group consists of 78 6th-grade students studying in three different classes, along with one…

This study aims to establish a model of collaboration that illustrates the various channels of collaboration that (trainee) translators go through in the course of translation, who they collaborate with, and why they choose to do so. To this end, it draws on an in-depth analysis of 21 medium-length Wikipedia articles translated by undergraduate…

Human-machine communication has emerged as a new relational context of education and should become a priority for instructional scholarship in the coming years. With artificial intelligence and robots offering personalized instruction, teachers' roles may shift toward overseers who design and select machine-led instruction, monitor student…

This paper intends to illustrate the didactic potential of Python-based Jupyter notebooks in teaching translation technology, machine translation in particular, to translation students. It discusses the basic makeup of Jupyter notebooks and shows how these notebooks can be set up for students who have had little to no prior exposure to the Python…

This paper describes an initial pilot study of Rimac, a natural-language tutoring system for physics. Rimac uses a student model to guide decisions about "what content to discuss next" during reflective dialogues that are initiated after students solve quantitative physics problems, and "how much support to provide" during…

We provided texts generated by speech-to text-recognition (STR) technology for non-native English speaking students during lectures in English in order to test whether STR-texts were useful for enhancing students' comprehension of lectures. To this end, we carried out an experiment in which 60 participants were randomly assigned to a control group…

In 2013, Spencer, Goldstein, Sherman, et al. reported the promising effects of a supplemental, technology-assisted, storybook intervention (Tier 2) containing embedded instruction targeting the oral language learning of preschool children at risk for delays. We sought to advance knowledge of the intervention by replicating it in a new sample and…

In 2013, Spencer, Goldstein, Sherman, et al. reported the promising effects of a supplemental, technology-assisted, storybook intervention (Tier 2) containing embedded instruction targeting the oral language learning of preschool children at risk for delays. We sought to advance knowledge of the intervention by replicating it in a new sample and…

We present an integrated theoretical framework guiding the use of visual narratives in educational settings. We focus specifically on the use of static and dynamic visual narratives to teach and assess inference skills in young children and discuss evidence to support the efficacy of this approach. In doing so, first we review the basis of the…

The purpose of this study was to investigate the influence of digital and non-digital storybooks on low-income preschoolers' oral language comprehension. Employing a within-subject design on 38 four-year-olds from a Head Start program, we compared the effect of medium on preschoolers' target words and comprehension of stories. Four digital…

Learning is facilitated by conversational interactions both with human tutors and with computer agents that simulate human tutoring and ideal pedagogical strategies. In this article, we describe some intelligent tutoring systems (e.g., AutoTutor) in which agents interact with students in natural language while being sensitive to their cognitive…