As blended learning moved toward a new phase during the COVID-19 pandemic, advancements in artificial intelligence (AI) technology provided opportunities to develop more diverse and dynamic blended learning. This systematic review focused on publications related to the use of AI applications in blended learning. The original studies from January…

With the rapid development of artificial intelligence, many applications have emerged, sparking heated discussions across various social sectors, particularly in education. This study aims to delve into the impact of pedagogical agents on learning through a combined use of VOSviewer and CitNetExplorer. Specifically, VOSviewer will facilitate a…

This brief article explores the integration of Generative Artificial Intelligence (GenAI) tools into blended learning environments for designing and teaching pronunciation tasks. Adapting Calamlam's (2016) conceptual framework, a flowchart is proposed to guide the use of three GenAI tool types to enhance pronunciation instruction: Listen-Mimic…

This study employs bibliometric methods to analyse impactful and emerging research topics in the digital education ecosystem, using Scopus data from 2019 to 2023. It introduces a new Impact Factor (IF) that considers productivity, growth rate, core papers, and citations to identify key research fronts. The top five areas identified were artificial…

This paper proposes the adoption of AI technologies in higher education to support student learning. Using multi-modal blended learning theory and independent learning fundamental theory, the study explores the use of AI to evaluate and improve the effectiveness of blended teaching in college English courses. A new model of deep learning and a…

This action research study's primary purpose was to explore student and instructor experiences of chatbot use in online and hybrid undergraduate English composition courses. This qualitative study used structured and open-ended survey questions, interviews, and chat transcripts to collect data. The collaboration process among researcher and…

Aim/Purpose: This study investigates the relationship between time of class and the academic performance of Master of Business Administration (MBA) students with 'group engagement' serving as the moderator. Notably, 'group engagement' is measured using a novel computer vision-based deep learning approach. Background: Generally, the first year of…

The application of machine learning (ML) has grown and is now used to enhance learning outcomes. In blended classroom settings, ML, emerging smartphones and wearable technologies are commonly used to improve teaching and learning. The combination of these advanced technologies and ML plays a crucial role in enhancing real-time feedback quality.…

This research examines the experiences of German design educators during the Covid-19 pandemic and explores how these experiences influenced design education's transition to the online studio two years afterwards. The research is based on surveys of 33 German design educators who represent 18 higher education institutions (University/University of…

The metaverse offers unique opportunities for K-12 students to learn STEM subjects in online and blended settings, providing interactive and authentic experiences. Although previous studies have produced mixed findings on the influence of the metaverse on perceptions and academic achievement of online and blended STEM learning, it is necessary to…

Accent recognition refers to the problem of inferring the native language of a speaker from his foreign-accented speech. Differences in accent are due to both articulation and prosodic characteristics. The automatic identification of foreign accents is valuable for different speech systems, such as speech recognition, speaker identification or…

In this study, the researchers explore lecturers' perspectives on the impact artificial intelligence (AI) has on blended learning within the context of South African higher education. AI is transforming traditional teaching and learning by enabling academic institutions to offer computerised, effective, and objective educational processes. The…

Purpose: The application of artificial intelligence chatbots is an emerging trend in educational technology studies for its multi-faceted advantages. However, the existing studies rarely take a perspective of educational technology application to evaluate the application of chatbots to educational contexts. This study aims to bridge the research…

Blended learning combines traditional classroom instruction with online learning, offering personalized and engaging educational experiences. This Spotlight will help you analyze key research on school tech use; review expert tips for staying ahead of tech trends; explore strategies for engaging virtual instruction; examine how to use tech to meet…

The rising demand for high-quality, timely content for online and blended learning environments presents significant challenges for instructional designers, particularly in managing resource-intensive tasks such as video production and image sourcing. This study investigates the impact of using artificial intelligence (AI), specifically large…