Personalization in education describes instruction that is tailored to learners' interests, attributes, or background and can be applied in various ways, one of which is through choice. In choice-based personalization, learners choose topics or resources that fit them the most. Personalization may be especially important (and under-used) with…

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 paper explores the concept of Flipped Mastery as an innovative approach to education that allows for the customization of learning experiences to meet each student's unique needs and preferences. To create a student-centered and personalised educational environment, Flipped Mastery blends the ideas of flipped learning with mastery-based…

Pearson's Learning Foundations describe the optimal conditions for learning and reflect the learner experience Pearson hopes their products will create. Pearson does this by incorporating the Learning Design Principles. Each of the Learning Design Principles goes into detail about a key principle, supporting product design and marketing by…

This paper investigates the challenges experienced by some Australian school educators in implementing differentiated instruction (DI) at a large secondary school. A small-scale study was conducted using individual, semi-structured interviews with teachers and school leaders. Using thematic analysis, three major themes were identified, namely:…

This article discusses various key words that facilitate differentiated curricular experiences for gifted students. Key words such as "about," "in," "from," and "with" can present a different perspective on the learning experience and stimulate investigative behaviors. They are also a set of words that are…

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 explores the development and evaluation of a chatbot model designed to facilitate learning within a department of a university. The project aims to enhance the learning experience by incorporating customized data into the chatbot's knowledge base, enabling personalized and context-aware interactions. The research investigates the…

Purpose: Fischer "et al." (2022) present a framework for rethinking education, including broad design components such as learning-on-demand or learning takes place in the context of authentic problems. How can we bring those design components into practice? I argue that the design of innovative learning approaches for the digital age…

Artificial intelligence (AI) is now affecting all aspects of our social lives. Without always knowing it, we interact daily with intelligent systems. They serve us invisibly. At least that is the goal we assign to them: to make our lives better, task by task. Artificial intelligence has the potential to make biology education more engaging,…

The scope of work-integrated learning (WIL) has expanded and evolved globally and is a recognised pedagogy that enhances graduate employability, strengthens students' personal attributes, and affords a personalised learning experience. Despite abundant research and discourse on WIL, misconceptions about what WIL is and how WIL educative…

This review provides a critical assessment of Personal Learning Environments (PLEs) and personalized learning within formal education by juxtaposing their beneficial effects against the potential issues that could impede their effective use. Through meticulous screening and reviewing procedures, 53 articles were thematically analyzed and the main…

In recent times, there has been a growing interest in enhancing recommendation systems for e-learning platforms to deliver a personalised learning experience that meets each learner's distinct requirements and preferences. Nevertheless, it is crucial to recognise the ethical considerations surrounding this technology, as it heavily relies on…

To improve the online learning experience, adaptive learning technologies are being used to personalise learning content to suit individual learning needs, with learning analytics being integrated to collect data about the student usage behaviour on the platform. Research indicates that the adaptive learning platforms promote a supportive learning…

Urban middle school students in the United States have shown a declining interest in science and poorer science learning outcomes compared to the past. Museum learning experiences can potentially improve these students' interest and learning in science through interactive, personalized exhibits. This qualitative action research study asked the…