Background: Online collaboration tools have been identified as potentially effective means for enhancing student learning, motivation, and engagement in science education. However, their effectiveness in improving science education outcomes among middle school students remains uncertain. Objectives: The study aimed to investigate the impact of…

In a conventional art course, it is important for a teacher to provide feedback and guidance to individual students based on their learning status. However, it is challenging for teachers to provide immediate feedback to students without any aid. The advancement of artificial intelligence (AI) has provided a possible solution to cope with this…

The adoption of English as a Medium of Instruction (EMI) in Turkish universities has heightened the necessity for advanced English proficiency among students. Many intermediate-level English learners face stagnation, known as the intermediate plateau, hindering their progress and affecting academic performance. This study explores the use of…

Efforts to utilize AI in education, and especially in language education, have their roots in the 60s with the appearance of the first rule-based systems. However, recent advances in Artificial Intelligence (AI) and more specifically the introduction of ChatGPT, have given a new perspective to language learning. The integration of AI, natural…

The effectiveness of workplace learning programs is linked to employee/learner motivation. However, our current understanding of workplace learning does not always acknowledge the importance of learner motivation to acquire new skills. In this study, I proposed that to obtain learning success and engage employees to learn on- the- job, employers…

For decades, self-report instruments -- which rely heavily on students' perceptions and beliefs -- have been the dominant way of measuring motivation and strategy use. Event-based measures based on online trace data arguably has the potential to remove analytical restrictions of self-report measures. The purpose of this study is therefore to…

Data-Driven Learning (DDL) is a method for learning languages that involves analyzing language usage trends and finding patterns in language data, utilizing technology and statistics. One of the key benefits of DDL is that it allows students to focus on the most relevant and useful language data for their needs. Data-driven learning is an…

This study examined how Google Jamboard-based autonomous knowledge-sharing advanced language proficiency and motivation in an online intermediate--high EFL communication course. For one semester, 30 Korean first-year college students shared their learning experiences beyond the classroom, enhancing their English communication competence via a…

Gamification offers potential for improving students' online discussion quantity and the depth of discussion content. However, very few studies have examined the social network patterns when students are posting and providing peer-feedback to each other in gamification-based environments. In response to those gaps, this study used a learning…

Courses in virtual learning environments can leave recently enrolled participants in a state of loneliness, confusion and boredom. What course content is essential in the course, where can more information be found and which assignments are mandatory? Research has stated that learner control and motivation are crucial issues for successful online…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…