This paper introduces a system that supports student-centered online one-to-one tutoring and evaluates the practical value of the system by running an experiment with 64 experienced mathematics teachers and 810 students in Grade 7. The experiment lasted for 50 days. A comprehensive evaluation was performed using students' academic performance…

The emergence of online learning has sparked increased interest in predicting learners' academic performance to enhance teaching effectiveness and personalized learning. In this context, we propose a complex model APPMLT-CBT which aims to predict learners' performance in online learning settings. This systemic model integrates cognitive, social,…

Reading comprehension is a widely adopted method for learning English, involving reading articles and answering related questions. However, the reading comprehension training typically focuses on the skill level required for a standardized learning stage, without considering the impact of individual differences in linguistic competence. This…

This study examines the impacts of AI-powered personalized education on student achievement and future perspectives. Personalized education refers to teaching methods tailored to the individual needs and learning paces of students, made more effective by the opportunities offered by AI. AI technologies transform educational processes such as…

The adoption of English as a Medium of Instruction (EMI) in Turkish universities has heightened the necessity for advanced English proficiency among students. Many intermediate-level English learners face stagnation, known as the intermediate plateau, hindering their progress and affecting academic performance. This study explores the use of…

To improve students' learning performance through review learning activities, we developed a personalized intervention tutoring approach that leverages learning analysis based on artificial intelligence. The proposed intervention first uses text-processing artificial intelligence technologies, namely bidirectional encoder representations from…

With more than 35 years of combined experience teaching English language learners (ELLs), Larry Ferlazzo and Katie Hull Sypnieski understand how students learn. Together, they have written a series of books on the topic, and in this article they share their insights. Chief among them is that ELLs require particular instructional strategies to help…

As more of commerce, entertainment, communication, and learning are occurring over the Web, the amount of data online activities generate is skyrocketing. Commercial entities have led the way in developing techniques for harvesting insights from this mass of data for use in identifying likely consumers of their products, in refining their products…

Although conventional student assessments are extremely convenient for calculating student scores, they do not conceptualize how students organize their knowledge. Therefore, teachers and students rarely understand how to improve their future learning progress. The limitations of conventional testing methods indicate the importance of accurately…

Describes CAPA, a software tool to implement a computer-assisted personalized approach for homework assignments and examinations in a large introductory physics class at Michigan State University. Highlights include increased individual attention for students; correlation between homework performance and results of the final exam; feedback for…

Students in a graduate class and an undergraduate class in Information Systems completed a Web-based programmed instruction tutor that taught a simple Java applet as the first technical training exercise in a computer programming course. The tutor is a competency-based instructional system for individualized distance learning. When a student…

This 2-year project attempted to improve local employment prospects of young adult Inuit in seven communities in the Keewatin Region in the Canadian Northwest Territories by providing them computer-assisted instruction (CAI) in adult basic education and high school equivalency upgrading programs; business, financial, and telecommunications…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…