Research evidence indicated that a specific type of augmented reality-assisted (AR-assisted) science learning design or support might not suit or be effective for all students because students' cognitive load might differ according to their experiences and individual characteristics. Thus, this study aimed to identify undergraduate students'…

The emergence of digital game types has opened up significant opportunities to facilitate language acquisition through feedback provision, attracting diverse research strands to explore their potential as arenas for technology-assisted language learning. This study investigates the effects of learner-, peer-, and collaborative-regulated feedback…

This study examines the role of AI-powered learning tools in influencing cognitive load, well-being and academic success among music education students, with a focus on technology acceptance as a key factor. Data were collected through a random sampling of 454 Chinese music students (192 males, 262 females) aged 18-24, with varying levels of…

The potential of educational augmented reality systems to improve students' learning performance, motivation, and cognitive load has been demonstrated by recent studies. To help students learn the design history material, this study suggests an AR-integrated learning application strategy. In this study, we use Modernism as the theoretical…

Previous studies have confirmed the pivotal roles of student engagement in predicting learning achievements; however, only a few emphasized the patterns of different engagement dimensions within individuals (i.e., co-occurrences of behavioral, cognitive, and emotional engagement). Thus, this study identifies engagement profiles and explores their…

Educational robots represent a unique form of teacher presence. Exploring how the communication features of robot instructors affect student learning experience could contribute to the advancement of educational robots. This study examined the impact of speech rate, voice type, and emotional tone of robots on students' cognitive load, attitudes…

This study examines the effects of corrective feedback (CF) on language learners' writing anxiety, writing complexity, fluency, and accuracy, and compares the effectiveness of feedback from human teachers with an AI-driven application called Poe. The study included three intact classes, each with 25 language learners. Using a quasi-experimental…

In regular dance teaching, teachers find it difficult to pay attention to and meet the specific needs of each student. Extended-reality (XR) has the potential to help students get more information to dance learning. This study developed an XR interactive learning system to assist teachers in dance teaching, and explored the impact of XR on the…

As an important branch of mathematics, geometry plays a very significant role in developing students' thinking, but many students need to improve their geometric thinking abilities, especially in understanding graphics and forms. Therefore, it is worthwhile to explore techniques and methods for developing students' geometric thinking, and…

Previous research has documented that students' reading comprehension performance in learning English as a foreign language (EFL) differs greatly between mobile-assisted and paper-based reading. The present study extends previous work by investigating whether reading cognitive load differs between mobile-assisted and paper-based EFL reading…

Differentiated instruction is much demanded yet quite challenging in face of the growing student diversity in today's K-12 classrooms. One major challenge is the provision of differentiated materials to students. Automated text simplification (ATS) tools fueled by natural language processing may serve as a useful assistant for teachers. However,…

The pervasive use of information and computer technology in second or foreign language learning has led researchers to explore the ideal tasks for technological environments to facilitate second language (L2) learning. This study intended to contribute new knowledge to this area by examining the effects of the task complexity manipulated along the…

The pervasive use of synchronous computer-mediated communication (SCMC) in second language (L2) learning has generated increasing interest among researchers in integrating SCMC with task-based language teaching (TBLT). This study examined the effects of task complexity on Chinese EFL learners' language production in SCMC modality to develop…

In conventional ancient Chinese poetry learning, students tend to be under-motivated and fail to understand many aspects of poetry. As generative artificial intelligence (GAI) has been applied to education, image-GAI (iGAI) provides great opportunities for students to generate visualized images based on their descriptions of poems, and to situate…

In today's university era, reforming the English teaching model has become a major research topic for researchers. Based on this, this paper adopts a hierarchical and progressive model construction method to further explore the reform model of university English teaching in the context of educational ecology. First, this paper discusses the…