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…

Quantum computing is the beginning of a new age for diverse industries, and educational technologies will significantly benefit from such quantum developments. This is a novel approach, applying quantum algorithms to enhance educational technologies, with no previous studies addressing the integration of quantum computing for personalized…

This study examines the use of artificial intelligence-based assessment systems in education and their impact on student achievement. AI technologies make the learning experience more compelling by monitoring and evaluating student performance through data analysis and machine learning, thereby individualizing the assessment process. This study…

Artificial intelligence (AI) has the potential to revolutionize education by promoting personalized learning experiences and enhancing educators' efficiency. Generative AI tools like ChatGPT are increasingly used by K-12 teachers for lesson planning, differentiated instruction, and automated feedback. This article examines how ChatGPT, in…

In this case study, the aim was to investigate how primary school teachers in a leading-edge Norwegian primary school use digital technologies to differentiate instruction in order to promote a more inclusive learning environment in academically diverse classrooms. Seven teachers teaching grades 1 and 5 were observed and interviewed to collect…

Microsoft Excel and Access are widely used in introductory courses designed to teach the fundamentals of spreadsheet and relational database modeling skills in various disciplines. To achieve the targeted learning outcomes, instructors of these courses strive to provide students with guided, frequent, and incrementally fruitful practice with the…

Increasing student numbers, heterogeneity and individual biographies lead to a growing need for personalized support. To meet these challenges, an Individual Digital Study Assistant (IDSA) provides features to help students improve their self-regulation and organizational skills to achieve individual study goals. Based on qualitative expert…

Equations are often used in mathematics and other subjects, which means that a media can teach students how to solve equations, particularly linear equations of two variables, or "Sistem Persamaan Linear Dua Variabel" (SPLDV) as it is called in Indonesian, is needed. However, most teachers are still focused on developing the learning…

In this brief, authors Namsoo Shin, Kevin Haudek, and Joseph Krajcik explore how artificial intelligence (AI) can serve as a transformative learning partner in K-12 STEM education. They describe theoretical foundations of using AI in STEM education and the importance of fostering an integrated understanding of STEM content. The brief examines AI's…

The traditional curriculum design methods suffer from issues like outdated content and limited instructional approaches. To address these, this article proposes an optimized curriculum design system that integrates CAD and neural network models. This system enables intelligent curriculum content generation, introduces CAD-assisted instructional…

Universities are encouraging the implementation of innovative methodologies and teaching strategies to develop an interactive and appealing educational environment where students are the focus of the learning process. In such a personalised learning environment, an increase of the students' engagement and the improvement of the outcomes arise.…

In this brief, the authors Jeremy Price and Shuchi Grover explore the exciting possibilities and critical challenges of generative AI (GenAI) for STEM teaching. They examine how GenAI may shape STEM classrooms in the near future and identify promising trajectories for integrating GenAI into STEM teaching, including the potential for personalized…

This study aims to produce a more personalized recommendation system for online learning using multicriteria in collaborative filtering and data from the Binus Online Learning repository as a knowledge base. The study uses forecasting (regression) and consists of three stages: (1) collecting data on the results of the learning process; (2) adding…

Addressing heterogeneity in the classroom by adapting instruction to learners' needs challenges teachers in their daily work. To provide adaptive instruction in the most flexible way, teachers face the problem of assessing students' individual characteristics (learning prerequisites and learning needs) and situational states (learning experiences…

There is a wide diversity of views on the potential for artificial intelligence (AI), ranging from overenthusiastic pronouncements about how it is imminently going to transform our lives to alarmist predictions about how it is going to cause everything from mass unemployment to the destruction of life as we know it. In this article, I look at the…