Artificial intelligence (AI) is reshaping university education by offering personalized teaching assistance tailored to each student's cognitive needs. Despite its global rise, AI's adoption in higher education in developing nations like Bangladesh is sparse. This study, gathering 363 responses from Bangladeshi universities, employed PLS-SEM, ANN,…

Differentiated instruction is regarded as a viable option to improve mathematics education, while also being set out as a policy requirement in many countries. This study focusses on the implementation of differentiated instruction by South African primary school mathematics teachers. Underpinned by theoretical ideas of social justice,…

Differentiated instruction (DI) has shown positive effects on the success of language learning as compared to traditional teaching. Examining teachers' beliefs pertaining to differentiation is important owing to the fact that teachers' beliefs shape their pedagogical practices. Therefore, this study is aimed at exploring English teachers' beliefs…

The developments in artificial intelligence (AI) have significantly transformed second language (L2) learning and assessment, and the role of AI technologies in L2 assessment have been investigated in recent research. This study presents a bibliosystematic analysis of AI-assisted L2 assessment. Using both systematic analysis and bibliometric…

This questionnaire study (N 5 212) investigates Hungarian K-12 (primary and secondary school) English language teachers' beliefs and self-reported practices of differentiated instruction (DI) and technology-enhanced differentiated instruction (TEDI) and the variables impacting these practices. The research addresses emerging expectations for…

There have been many studies about the effectiveness of differentiated instruction in promoting student-centered learning. However, most of these studies have focused on primary and secondary education. There is hardly any research about its application and effectiveness in higher education settings. Furthermore, there is a need to identify the…

With the continuous progress of educational technology, personalized teaching has become a key way to improve teaching quality. In view of the current situation that English teaching content lacks personalization and interactivity, this paper proposes a personalized English teaching content generation system based on neural network (NN). The…

This meta-analysis examines the diverse effects of artificial intelligence (AI), notably ChatGPT, on intelligent learning in the education industry over the last four years. Despite the rapid integration into education of AI tools such as ChatGPT, which have the potential to enhance personalized learning and administrative efficiency, there…

We present a conceptual impact model illustrating how digital tools can facilitate the fulfillment of basic psychological needs, autonomy, competence and relatedness, which in turn may foster improvements in self-regulation and emotion regulation. The model incorporates features of digital tools such as personalized learning paths, real-time…

Purpose: The purpose of this paper was to investigate the influence of augmented reality (AR) on the vocational equity of students in vocational high school (VHS). This research mediator is bespoke personalization knowledge, experience of ephemeral elevation, and transverse skill based on the theories of mental imagery and cognitive load.…

Over the past decade, personalized learning has emerged as a major aim in the contemporary education systems of many countries. This qualitative case study examined middle school educators' perceptions of how their school's collective experimentation with Genius Hour supported the broader implementation of personalized learning. Teachers in the…

Monitoring learning progress enables teachers to address students' interindividual differences and to adapt instruction to students' needs. We investigated whether using learning progress assessment (LPA) or using a combination of LPA and prepared material to help teachers implement assessment-based differentiated instruction resulted in improved…

"The Power to Learn: The Benefits and the Promise of Personalized Instruction" advances the notion that personalized instruction is the direction that schools must take if all students are expected to succeed with difficult learning challenges. Based on the premise that all students are capable, this book offers practical information so…

The current study examined the effects of using a teleconsultation model called ECHO-MTSS on self-efficacy of implementing aspects of data-based individualization (DBI) with 38 educators. Self-efficacy was measured with a 15-item survey that assessed five different areas of the DBI process (i.e., intervention protocol, progress monitoring,…

In the modern educational process, teachers adapt lessons to the student's individual abilities, prior knowledge, interests and social skills. The present study, whose aim is to examine the inclusion of differentiation in literacy lessons in the first and second grades of Slovenian primary schools, was carried out on a smaller scale (N = 79). It…