Background: Adaptive educational systems have gained increasing attention due to their ability to personalise educational content based on individual learner progress. Prior research highlights that intelligent tutoring systems (ITSs) and adaptive courseware models improve learning outcomes by dynamically adjusting instructional materials.…

This article examines how shadow education is changing with digital platforms. Using the case of Egyptian education, it argues that digital learning platforms and social media platforms are profoundly penetrating Egypt's private tutoring landscape in a process of platformization. Rather than adding an online type of tutoring to an already-existing…

Tutoring promotes student achievement, academic independence, and the reduction of anxiety. While ample studies support tutoring for enhancing student success, few address how to evaluate tutoring. This quandary led to research in building and testing a meta-model that identified the hallmarks of one-on-one high-quality online tutoring.…

The recent dynamic turn in second language acquisition research has called for an investigation in learner agency by taking its complex dynamic nature into account. Informed by complex dynamic systems theory (CDST), this study investigated the agency of learners in a complex educational context where mainstream schooling and private tutoring…

As one of the fundamental tasks in the online learning platform, interactive course recommendation (ICR) aims to maximize the long-term learning efficiency of each student, through actively exploring and exploiting the student's feedbacks, and accordingly conducting personalized course recommendation. Recently, deep reinforcement learning (DRL)…

The global outbreak of the new coronavirus epidemic has promoted the development of intelligent education and the utilization of online learning systems. In order to provide students with intelligent services, such as cognitive diagnosis and personalized exercises recommendation, a fundamental task is the concept tagging for exercises, which…

In recent years, there has been an increasing trend of utilizing artificial intelligence (AI) methodologies over traditional statistical methods for predicting student performance in e-learning contexts. Notably, many researchers have adopted AI techniques without conducting a comprehensive investigation into the most appropriate and accurate…

Scholarly interest about how students learn and retain learned skills is vast. Cognitive psychologists have recommended various techniques used to increase retention. One technique, spaced retrieval practice, involves extending opportunities to retrieve course content beyond a customarily short window following the initial learning process. Our…

Differentiated instruction emphasizes tailoring teaching methods to diverse learning styles, ensuring each student's unique needs are met and fostering a more inclusive and effective learning environment. This Spotlight will empower readers with tech advice for implementing effective accelerated learning; strategies for supporting students with…

The paper focuses on the topic of e-tutoring within the context of Higher Education. The research target is a framework for e-tutor role and skills in a higher education environment. The research began with a systematic review of the scientific literature with the aim of having a vision on the scientific landscape about the approach of…

With the application of virtual venues in the field of education, numerous educational empirical studies have examined the impact of deep learning in the learning environment of virtual venues, but the conclusions are not always in agreement. The present study adopted the meta-analysis method and RStudio software to test the overall effect of 45…

The most critical parameter of audio and video information output is the playback speed, which affects many viewing or listening metrics, including when learning using tutoring systems. However, the availability of quantitative models for personalized playback speed control considering the learner's personal traits is still an open question. The…

The secret to steering students to academic support who would benefit the most was elusive before the COVID-19 exodus from campus, and the challenges have only diversified since the expansion of virtual learning. As enrollments rebound in the post-pandemic world, learning centers are striving to re-engage students returning to campus and those…

In response to the COVID-19 crisis, embedded tutoring became a popular model to address the need for additional student support in higher education. Four U.S. community colleges collaborated to develop a successful embedded tutoring model that provides a framework and definition for embedded tutoring and training for tutors and participating…

Pedagogical agents (PAs) are a crucial aspect of the e-learning environment. A PA is defined as a virtual character presented on an interface, and they are designed to promote student learning. PAs have been widely discussed in academic papers. However, an appropriate analysis framework has not been proposed because of the diversity and complexity…