This study investigates the interplay between EFL students' needs, proficiency levels, learning styles and AI-powered adaptive learning platforms in fostering academic engagement. A positive and significant relationship was observed, demonstrating that AI-powered platforms effectively cater to EFL students' individual needs, proficiency levels and…

This study investigates methods and effectiveness of implementing Differentiated Instruction (DI) in intelligent education based on learners' learning needs. The paper employs a mixed-method approach to collect and analyze data from various learner groups. Guided by the assessment results of the KANO model, the research prioritizes attributes for…

In view of the traditional teaching mode, this study focuses on the application of big data in personalized English teaching in colleges and universities. It aims at improving the teaching effect by using big data. By combining personalized teaching and big data theory, this paper analyzes the current situation of college English teaching,…

Teachers must foster within themselves the idea that technology is a part of civilization that must inevitably go hand in hand with teaching and learning, including assessment. Technology-based assessment should assist teachers in dealing with digital native students who are already aware of their own needs, requiring teachers to integrate…

Korean English medium instruction (EMI) classes aim to foster active discussions and communicative interactions in English between instructors and students. However, many Korean students in these classes struggle due to their limited English proficiency. This paper examines the challenges faced by Korean EFL students in EMI environments,…

In the United States, traditional lecture-based teaching methods have not effectively met the needs of diverse learners in higher education (HE). This is particularly problematic as diversity is increasing amongst learners, including those with diverse racial, ethnic, gender, academic, and emotional backgrounds. The predominance of the two-tiered…

This study investigates the transformative potential of integrating Artificial Intelligence (AI), animation, and personalized learning in contemporary education. Employing a mixed-methods approach involving interviews and experimental manipulations, the research examines the interconnectedness of these three domains and their collective impact on…

Large Language Models (LLMs) are a powerful type of Artificial Intelligence (AI) that simulates how humans organize language and are able to interpret, predict, and generate text. This allows for contextual understanding of natural human language which enables the LLM to understand conversational human input and respond in a natural manner. Recent…

In Bosnia and Herzegovina, the number of refugees and migrants arriving in the country has increased from just a few dozen arrivals annually prior to 2017 to 95,000 between 2018 and 2022. This increase has put incredible strain on the country's education systems. This research presents critical findings on the implementation and effectiveness of…

When second language learners are identified as having learning disabilities, their need for instruction in English language development and the benefits of instruction in their native language are essential for academic success. This could become a challenge for special education students and teachers when the magnet school is a dual language…

Although game-based learning has been increasingly promoted in education, there is a need to adapt game content to individual needs for personalized learning. Procedural content generation (PCG) offers a solution for difficulty in developing game contents automatically by algorithmic means as it can generate individually customizable game contents…

Purpose: A growing body of research has focused on the topic of inclusive education for ethnic minorities in Hong Kong. At the same time, few scholars have explored the role technology can play in enhancing inclusivity within the context of quality education. This study examines how the differentiated use of technology that takes into account…

The number of English learners (ELs) in our schools continues to increase, and at the same time, the academic achievement of ELs consistently lags behind the achievement of native-English-speaking peers. These second language learners bring with them a set of special needs for teaching and learning, especially for mainstream content area teachers,…

In "Educating English Learners," Joyce W. Nutta and her colleagues offer practical tools for helping schools and teachers successfully integrate English learners into mainstream classrooms. Drawing on the One Plus model presented in their award-winning book, "Preparing Every Teacher to Reach English Learners," the authors now…

Presents the idea that the teacher who constructs a learning program for a particular group of learners which is filled with materials and activities that stimulate deep personal feelings, making it possible for individuals to express personal reactions, achieves something close to true individualization. (Author)