This proceedings volume presents outstanding advances, with a multidisciplinary perspective, in the technological ecosystems that support Knowledge Society building and development. With its learning technology-based focus using a transversal approach, TEEM is divided into thematic and highly cohesive tracks, each of which is oriented to a…

Computer use has become a fact of life, especially for children, many of whom were forced to switch to online learning during the COVID-19 pandemic and resorted to digital hobbies as a safety measure. Further the amount of time children spend on computers, as well as the number of different computer devices that pervade our post-pandemic society…

This paper investigates the role of English in voice assistant (Siri, Alexa, Google Assistant) use from the perspective of language ideology. Major commercial companies in the voice assistant market use English as a training language for their speech technologies and offer the most optimised support for standardised varieties of English. This…

Recent advances and applications of artificial intelligence (AI) have increased the opportunities for students to interact with AI in their learning tasks. Although various fields of scholarly research have investigated human-AI collaboration, the underlying processes of how students collaborate with AI in a student-AI teaming scenario have been…

This study investigates the integration of advanced technologies to improve the translation and dissemination of Chinese museum culture through multimodal approaches. The primary aim is to incorporate Artificial Intelligence (AI) and big data to enhance the quality and accessibility of cultural exhibits. Current challenges in the translation and…

As advanced technologies such as Artificial Intelligence (AI) become increasingly integrated into Higher Education (HE) learning spaces, these environments adapt to changing technologies and goals of educators and learners. As such, designing learning spaces requires HE researchers to imagine future learning spaces. In this article, we present a…

Despite the increasing adoption of generative artificial intelligence (GenAI) to facilitate second language (L2) writing, current reviews are insufficient in their depth and scope to effectively highlight the forefront of research trends. To bridge the gap, this paper synthesizes findings from 73 empirical studies on GenAI-assisted L2 writing…

EFL learners generally have the problem of logical fallacies in EFL argumentative writings. Logical fallacies are errors in reasoning that can undermine EFL argumentative writing quality. Explicit training on logical fallacies may help learners deal with the problem and enhance their self-efficacy and proficiency in EFL argumentative writing,…

Purpose: The prediction of student attrition is critical to facilitate retention mechanisms. This study aims to focus on implementing a method to predict student attrition in the upper years of a physiotherapy program. Design/methodology/approach: Machine learning is a computer tool that can recognize patterns and generate predictive models. Using…

This research intended to identify key contextual factors that synergistically influence high- and low-performing students' science outcomes by drawing upon a dynamic model of educational effectiveness. The dataset, the Programme for International Student Assessment (PISA) 2015, consisted of 79,963 science scores for secondary students (49,924…

This research describes a case study of an integrated human-computer interaction (HCI) course for construction engineering students using project-based learning and experiential learning cycle methods. To help engineering students keep pace with the increasing use of information technology (IT) in the construction industry, educational…

This article shows how the exciting new field of Machine Learning can be effectively introduced in a standard calculus sequence, once the students have been introduced to functions of several variables. This is an opportunity to engage students in a discussion of an application of calculus to an emerging field that the students encounter in their…

Background/purpose. This study examined the application of the AI language model ChatGPT in enhancing the teaching and learning of English as a Foreign Language (EFL). The study involved 524 participants, comprising faculty members, teachers, and students, and utilized surveys to assess their perceptions of the benefits and challenges of ChatGPT.…

Traditional self-injurious behavior (SIB) management can place compliance demands on the caregiver and have low ecological validity and accuracy. To support an SIB monitoring system for autism spectrum disorder (ASD), we evaluated machine learning methods for detecting and distinguishing diverse SIB types. SIB episodes were captured with body-worn…

For many years, learning continues to be a vital developing field since it is the key measure of the world's civilization and evolution with its enormous effect on both individuals and societies. Enhancing existing learning activities in general will have a significant impact on literacy rates around the world. One of the crucial activities in…