Although using machine learning for predicting which students are at risk of failing a course is indeed valuable, how can we identify which characteristics of individual students contribute to their being At-Risk? By characterising individual At-Risk students we could potentially advise on specific interventions or ways to reduce their probability…

The advent of Large Language Models (LLMs) has fundamentally disrupted our thinking about educational technology. Their ability to engage in natural dialogue, provide contextually relevant responses, and adapt to learner needs has led many to envision them as powerful tools for personalized learning. This emergence raises important questions about…

Avatars play a significant role in Artificial Intelligence (AI)-powered education, supported by various human-computer interactions and second language acquisition theories. AI avatars have become increasingly anthropomorphic and realistic with advancements in speech synthesis, speech-driven lip-syncing, and speech-to-facial animation. D-ID Studio…

In a higher education (HE) landscape that is becoming increasingly internationalised and diversified, the importance of inclusive teaching practices, particularly in the context of English for Academic Purposes (EAP), is gaining growing international attention. While comprehensive frameworks and strategies are developed through educational…

In this analysis, we review artificial intelligence (AI)-supported personalized learning (PL) systems, with an emphasis on pedagogical approaches and implementation challenges. We searched the Web of Science and Scopus databases. After the preliminary review, we examined 30 publications in detail. ChatGPT and machine learning technologies are…

Background/purpose: Within the framework of adaptive education, teachers are expected not only to possess strong subject matter expertise but also to adapt instructional strategies to address the diverse needs of learners, including students with special educational needs. In this regard, the pedagogical competence of inclusive teachers emerges as…

Key Findings: This study identifies a strong positive relationship between digital literacy and language proficiency, highlighting how technological competence enhances motivation, engagement and PL, leading to improved language learning outcomes. Purpose: This research explores the connection between digital literacy and language proficiency,…

With more and more non-Chinese speaking (NCS) students learning in Hong Kong mainstream classrooms, differentiated instruction has been called for application in Chinese language education to consider the diverse learning needs of all students. However, factors influencing Chinese language teachers' use of differentiated instruction remain…

This paper reports on a novel corequisite design and implementation for College Algebra at Florida International University. The corequisite course uses online, just-in-time, prerequisite assignments delivered on an open-educational platform. Students get help from near-peer learning assistants inside a math emporium environment. The course…

Educators, experienced or novice, Montessori or otherwise, have genuine concerns about working with neurodivergent children, including having the necessary education, adequate resources, and time to accommodate students. Yet a shift in perspective can minimize these concerns: Montessori educators, who are trained to observe, reflect, design the…

We discuss transforming STEM education using three aspects: learning progressions (LPs), constructed response performance assessments, and artificial intelligence (AI). Using LPs to inform instruction, curriculum, and assessment design helps foster students' ability to apply content and practices to explain phenomena, which reflects deeper science…

Self-regulated learning (SRL) strategies have been identified as a valuable component of digital game-based learning system (GBLS) activities. However, few studies have focused on the effects of information feedback on self-efficacy, SRL strategies, and perceived and actual learning effectiveness. Social cognitive and SRL theories describe the…

This study innovates English network teaching by applying a refined Association Rule Mining (ARM) algorithm. It integrates an "interest" parameter into ARM, dynamically adapting content to individual learners' profiles, improving engagement and outcomes. Controlled experiments, spanning diverse online platforms, validate the ARM model's…

Autistic adults experience high rates of metal health difficulties and face significant barriers to accessing appropriate mental health care. Empirical research and recent professional guidelines emphasise the importance of modifying standard mental health interventions to best meet the needs of autistic adults. This systematic review explored…

The purpose of this transcendental phenomenological study was to understand the lived experiences of secondary English language arts teachers implementing personalized learning in Southeastern Pennsylvania. Teachers who personalize learning must currently determine their own method of doing so without adequate research about the process to inform…