Personalized gamification aims to address shortcomings of the one-size-fits-all (OSFA) approach in improving students' motivations throughout the learning process. However, studies still focus on personalizing to a single user dimension, ignoring multiple individual and contextual factors that affect user motivation. Unlike prior research, we…

Recognizing the existing research gaps concerning learner characteristics in the realm of personalized learning in Chinese higher art education, this study initially analyzed prevailing patterns in personalized learning research and its current implementation in higher education through an extensive literature review. Subsequently, a quantitative…

As education has evolved towards online learning, the availability of learning materials has expanded and consequently, learners' behavior in choosing resources has changed. The need to offer personalized learning experiences and content has never been greater. Research has explored methods to personalize learning paths and match learning…

This article aims to describe the mapping done by teachers in elementary schools regarding students' backgrounds before they apply differentiated instruction. Mapping students' backgrounds is very important considering the focus of attention from implementing differentiated instruction is alignment with student characteristics, so as to make…

If we want to really understand our students so that we can optimize instruction for them, we must think of each individual student as distinctive and irreplaceable. From this core principle springs the radically humane framework for meaningful teaching that is the subject of this book: Powerful Student Care (PSC). Authors Grant A. Chandler and…

Purpose: The purpose of this study is to analyze from multiple perspectives, so as to form an effective massive open online course (MOOC) personalized recommendation method to help learners efficiently obtain MOOC resources. Design/methodology/approach: This study introduced ontology construction technology and a new semantic association algorithm…

In the United States, individualized language plans (ILPs) have gained traction across K-12 schools. Much like the Individualized Education Programs (IEPs) used in special education, ILPs outline individualized goals, accommodations, and services for multilingual learners for their language development; however, unlike IEPs, ILPs are developed at…

Personalised learning (PL) is learning in which the stage of learning and the instructional approach are optimised for the needs of each learner. The concept of PL allows e-learning design to shift from a 'one size fits all' approach to an adaptive and student-centred approach. This paper aims to provide a literature review of PL based on: the PL…

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 artificial intelligence in education (AIED) community has produced technologies that are widely used to support learning, teaching, assessment, and administration. This work has successfully enhanced test scores, course grades, skill acquisition, comprehension, engagement, and related outcomes. However, the prevailing approach to adaptive and…

Teachers are the backbone of our education system and are often overlooked sources of information within the education system itself. It's critical to find the most up-to-date teaching practices and combine those practices by gaining insight from these teachers to ensure student success. Today, in the modern United States education system,…

Personas, initially originated in user experience research, are short and simplified representations of particular user groups, and this methodological approach has recently gained ground in educational research. This study aims to explore aspects of personas that may be beneficial for prospective mathematics teachers when they develop digital…

This updated edition of "Strategies for Differentiating Instruction" offers practical approaches that allow all students to make continuous progress and be appropriately challenged by focusing on their various levels of knowledge and readiness to learn. Written in an accessible, teacher-friendly style, chapters explore methods to tier…

Teachers, schools, districts, states, and technology developers endeavor to personalize learning experiences for students, but definitions of personalized learning (PL) vary and designs often span multiple components. Variability in definition and implementation complicate the study of PL and the ways that designs can leverage student…

Persistent literacy skills deficits hinder educational attainment, limit labour market opportunities, and exacerbate socioeconomic inequalities. This paper evaluates the causal effect of an AI-driven Computer-Assisted Learning (CAL) program implemented by the Government of Madrid, which features personalised, adaptive content and real-time…