Our research aims to predict students' academic performance by considering the variables affecting academic performance in science courses using the deep learning method from machine learning algorithms and to determine the importance of independent variables affecting students' academic performance in science courses. 445 students from 5th, 6th,…

This research article examines the accuracy of using Google Translate as a means to offer native language, e-mail communication between teachers and parents of Latino English Language Learners (ELLs). To this end, an elementary teacher's e-mail message was translated by Google Translate and certified translators and then evaluated and compared…

Musical abilities, both in the pitch and temporal dimension, have been shown to be positively associated with phonological awareness and reading abilities in both children and adults. There is increasing evidence that the relationship between music and language relies primarily on the temporal dimension, including both meter and rhythm. It remains…

Assessing the content of learners' compositions is a common practice in second language (L2) writing assessment. However, the construct definition of content in L2 writing assessment potentially underrepresents the target competence in content and language integrated learning (CLIL), which aims to foster not only L2 proficiency but also critical…

This study investigated college Chinese a second language learners' word segmentation error patterns in reading instructional-level Chinese sentences, the relationship between word segmentation errors and reading comprehension, and learners' perspectives on the role of word segmentation in reading comprehension. The results showed that the…

Embedded instruction facilitates individualized support and promotes meaningful participation for all children, irrespective of their abilities or disabilities, by integrating learning opportunities into the natural, everyday activities of inclusive preschool settings. This study aimed to investigate the impact of a coaching intervention on the…

Background: Over 50% of individuals with aphasia face ongoing word-finding issues. Studies have found phonologically oriented therapy helpful for English speakers, but this has not yet been studied in French. It is essential to assess the effectiveness of such a therapy in French, considering the distinct linguistic typologies between both…

This study examines the proficiency of Chat GPT, an AI language model, in answering questions on the Situational Judgement Test (SJT), a widely used assessment tool for evaluating the fundamental competencies of medical graduates in the UK. A total of 252 SJT questions from the "Oxford Assess and Progress: Situational Judgement" Test…

With the advancements in technology and the growing demand for online education, Virtual Learning Environments (VLEs) have experienced rapid development in recent years. This demand was especially evident during the COVID-19 pandemic. The incorporation of new technologies in VLEs provides new opportunities to better understand the behaviors of…

Purpose: This study examines the accuracy of Interaction Detection in Early Childhood Settings (IDEAS), a program that automatically transcribes audio files and estimates linguistic units relevant to speech-language therapy, including part-of-speech units that represent features of language complexity, such as adjectives and coordinating…

Written answers to open-ended questions can have a higher long-term effect on learning than multiple-choice questions. However, it is critical that teachers immediately review the answers, and ask to redo those that are incoherent. This can be a difficult task and can be time-consuming for teachers. A possible solution is to automate the detection…

Technologies that enable individualization for students have significant potential in special education. Computerized Adaptive Testing (CAT) refers to digital assessments that automatically adjust their difficulty level based on students' abilities, allowing for personalized, efficient, and accurate measurement. This article examines whether CAT…

Efforts to improve outcomes for students amidst a climate of school accountability have led to a myriad of education initiatives, perhaps none as profound and widespread as the tiered intervention models offered by the RTI and MTSS frameworks. While those who advocate for tiered intervention models argue that these systems bring support to…

Computational Thinking (CT) skill was a part of the global framework of reference on Digital Literacy for Indicator 4.4.2, widely developed in mathematics and science learning. This study aimed to promote an assessment tool using a two-tier Computerized Adaptive Test (CAT). The study used the Design and Development Research (DDR) method with four…

Grades matter to students, and grading methods have documented impacts on student outcomes. While many strategies exist to study variance and reliability in research settings, unique challenges exist when it comes to applying these techniques in practical settings of post-secondary coursework. In our course setting, teaching assistants (TA's)…