Generating personalized learning pathways for e-learners is a critical issue in the field of e-learning as it plays a pivotal role in guiding learners towards the successful achievement of their learning objectives. The existing literature has proposed various methods from different perspectives to address this issue, including learner-based,…

In postsecondary research, comprehensive approaches to student success (CASS) programs are shown to have the greatest impact on student outcomes. At the core of a CASS program is personalized and proactive coaching in which coaches actively reach out to students and meet to discuss personal and academic issues. MDRC's evaluation of one CASS…

Higher education institutions have recently increased the number of online courses offered to students. A need exists to understand student success within asynchronous self-paced online education programs. This study explores the factors that impact student success in the Independent Study Program (iStudy) at the University of Mississippi,…

Motivation to learn is a necessary factor to benefit education. However, only some students are motivated to learn. Some students are extrinsically motivated through physical rewards or prizes, which are temporary. Other students are intrinsically motivated through different factors such as curiosity, recognition, competence, and relatedness,…

This study sought to investigate the effects of employing artificial intelligence (AI) on the customization of educational content and the enhancement of academic performance and engagement among students and teachers. The research involved a sample of ninth-grade students and their educators from diverse subjects, utilizing questionnaires to…

This study aims to explore the effects of pre-service teachers' use of rubric in self-assessment with instructor feedback on academic achievement and self-regulated learning. Their perceptions and experiences of the self-assessment intervention were also investigated. A total of 79 pre-service teachers participated in the study. A mixed methods…

Knowledge tracing (KT) aims to predict students' future performances based on their former exercises and additional information in educational settings. KT has received significant attention since it facilitates personalized experiences in educational situations. Simultaneously, the autoregressive (AR) modeling on the sequence of former exercises…

This study investigated how a self-regulated learning intervention, implemented within a personalized learning environment, affected students' self-regulation, self-efficacy, and academic achievement at a middle school. The personalized learning environment in this study was two self-paced units within middle school seventh grade math classrooms.…

Purpose: The purpose of this study is to examine effects of classroom-level and student-level factors on student engagement in the context of a higher education system vertically differentiated into research, applied and comprehensive university types. Design/methodology/approach: The study used a cross-sectional multilevel design to explain…

It is becoming increasingly clear that not all students require the same education, and the requirement of personalized education is increasingly in demand. The incorporation of adaptive learning (AL) has increased in recent years. However, research on this subject is still evolving at the university level. In this study, we investigated the…

Intelligent tutoring systems (ITSs) aim to deliver personalized learning support to each learner, aligning with the educational aspiration of many countries, including China. ITSs' personalized support is mainly achieved by providing individual prompts to learners when they encounter difficulties in problem-solving. The guiding principles and…

Differentiated instruction (DI) is a beneficial approach to addressing students' diverse learning needs, abilities, and interests to ensure that each student has the opportunity to make academic progress. To answer the question of how teachers utilize DI in K-12 classrooms, this systematic review was based on 61 empirical studies on DI published…

Educational recommender systems have been supporting personalized learning in various ways. However, less discussion is conducted about whether and how to personalize the strategies to generate recommendations based on student differences. In this study, we aim at investigating how students judge recommendations based on different strategies, and…

Our methods to reach all students are no longer effective for the student body before us. Many students are struggling with stress, inattention in class, and absences from school. A significant number of our students are struggling to get to and stay in school. In addition to these issues, students are struggling to find relevance in their…

This systematic review investigates the impact of generative artificial intelligence (GenAI) tools on developing academic skills in higher education. Analysing 158 studies published between 2021 and 2024, it focuses on the impact of GenAI tools on the development of cognitive, technical and interpersonal skills. The results reveal that 94% of the…