Teacher classroom teaching behavior indicators serve as a crucial foundation for guiding instructional evaluation. Existing indicator system suffers from limitations such as strong subjectivity and weak contextual generalization capabilities. Generalized category discovery (GCD) enables automatic data clustering to identify known categories and…

This study is developing a Deep Learning model automating the coding of drawings students provide about climate change phenomena in our world, as a learning contribution through formative assessment. We started first with ResNet50 architecture, but ultimately, we settled on MobileNetV2 reduced architecture for the sake of being able to integrate…

Background and Aim: Promoting the development of international education is an important international education trend in the world today. It has had or is having a far-reaching impact on the education of all countries in the world, whether it is formal education or non-formal education (Gu, M., 2020). The "Course Plan for Technicians in…

The commonly used categorical system for conditionals (zero, first, second, and third) has been repeatedly demonstrated to be inadequate because it is unable to account for many conditional types attested in actual usage. ELT coursebooks and pedagogic grammars are criticized for ignoring the evidence and persisting with its use, but the reality…

This study presents a list of 2022 Bulgarian-Turkish cognate words that can be used to facilitate vocabulary acquisition and cross-linguistic awareness. The list was created manually through a multi-step process that involved scanning the database of an online dictionary to identify Bulgarian words that had the same or similar forms in Turkish.…

With the onset of online education via technology-enhanced learning platforms, large amount of educational data is being generated in the form of logs, clickstreams, performance, etc. These Virtual Learning Environments provide an opportunity to the researchers for the application of educational data mining and learning analytics, for mining the…

Purpose: This study compared English grammatical performance of bilingual school-age children who spoke either Spanish or Vietnamese at home, focusing on their first-language influence on the acquisition of 13 English grammatical forms. Method: Scores from 30 children on a cloze task were analyzed for accuracy, developmental patterns, and error…

Cognitive diagnostic models (CDMs) are a family of psychometric models designed to provide categorical classifications for multiple latent attributes. CDMs provide more granular evidence than other psychometric models and have potential for guiding teaching and learning decisions in the classroom. However, CDMs have primarily been conducted using…

This research was triggered by the identified need in literature for large-scale studies about the kinds of designs that teachers create for mobile learning (m-learning). These studies require analyses of large datasets of learning designs. The common approach followed by researchers when analyzing designs has been to manually classify them…

Building and especially improving a classification kernel represents a challenging task. The works presented in this paper continue an already developed semi-supervised classification approach that aimed at labelling transcripts from educational videos. We questioned whether the size of the ground-truth data-set (Wikipedia articles) or the quality…

A common goal of Intelligent Tutoring Systems (ITS) is to provide learning environments that adapt to the varying abilities and characteristics of users. This type of adaptivity is possible only if the ITS has information that characterizes the learning behaviors of its users and can adjust its pedagogy accordingly. This study investigated an…

This study examines the putative benefits of explicit phonetic instruction, high variability phonetic training, and their effects on adult nonnative speakers' Mandarin tone productions. Monolingual first language (L1) English speakers (n = 80), intermediate second language (L2) Mandarin learners (n = 40), and L1 Mandarin speakers (n = 40) took…

Intelligent Tutoring Systems (ITSs) are aimed at promoting acquisition of knowledge and skills by providing relevant and appropriate feedback during students' practice activities. ITSs for literacy instruction commonly assess typed responses using Natural Language Processing (NLP) algorithms. One step in this direction often requires building a…

The article presents research into the concept of "personality" in the categorical grid of the consciousness of primary and secondary school teachers. The data obtained demonstrate the presence of an orientation in the teachers' minds and activities towards the implementation of personality-oriented, humanistic models of learning. At the…

Despite the proliferation of video-based instruction and its benefits--such as promoting student autonomy and self-paced learning--the complexities of online teaching remain a challenge. To be effective, educators require extensive training in digital teaching methodologies. As such, there's a pressing need to examine and comprehend the…