Large Language Models have recently achieved high performance on many writing tasks. In a recent study, math word problems in Carnegie Learning's MATHia adaptive learning software were rewritten by human authors to improve their clarity and specificity. The randomized experiment found that emerging readers who received the rewritten word problems…

All the Olympic Movement activities have been set to promote sport, culture and education, drawing inspiration from the physical training practiced by the ancient civilizations in the Middle East and Asia. From the very first evidence of men's interest in training the body through disciplined exercises, 7000 years ago, the spread of sport was…

Differentiated Instruction (DI) is a philosophical and pedagogical approach supporting diverse student engagement in learning, but limited research exists in DI in senior-secondary mathematics. Using semi-structured interviews, the perceived use of DI of two senior secondary mathematics teachers was investigated. One of three themes is discussed…

In Engineering Design education, huge numbers of students are a challenge in university teaching, especially since the students have an initially heterogeneous level of technical knowledge, which influences their acquisition of competences. In frontal classroom lectures, individual deficits can hardly be addressed and in self-study phases,…

This work proposes Dynamic Linear Epsilon-Greedy, a novel contextual multi-armed bandit algorithm that can adaptively assign personalized content to users while enabling unbiased statistical analysis. Traditional A/B testing and reinforcement learning approaches have trade-offs between empirical investigation and maximal impact on users. Our…

We sought to identify the extent to which an innovative educational technology called ELCII (Early Language Comprehension Individualized Instruction) improved inference making for various populations of kindergarten students. Analyses examined student performance based on individual-level demographic characteristics (i.e., gender, race/ethnicity,…

Machine learning is a powerful method for predicting the outcomes of interactions with educational software, such as the grade a student is likely to receive. However, a predicted outcome alone provides little insight regarding how a student's experience should be personalized based on that outcome. In this paper, we explore a generalizable…

Personalized learning stems from the idea that students benefit from instructional material tailored to their needs. Many online learning platforms purport to implement some form of personalized learning, often through on-demand tutoring or self-paced instruction, but to our knowledge none have a way to automatically explore for specific…

Adaptive learning is an area of educational technology that consists in delivering personalized learning experiences to address the unique needs of each learner. An important subfield of adaptive learning is learning path personalization: it aims at designing systems that recommend sequences of educational activities to maximize students' learning…

The usefulness and limitation of Adaptive Hypermedia Learning System (AHLS) using Learning Style as an adaptor has been long discussed, and many empirical studies show the system can help students increase their academic performance comparing with the traditional classroom learning, but these studies were based on different subjects and…

Teachers' perceptions are important in identifying and serving gifted children. However, little attention is given to gifted education in the early years in China. This study aimed to investigate teachers' perceptions of young gifted children (aged 3-6), exploring teachers' understandings, feelings, practices, and perceived challenges. Qualitative…

The prevalence of online education systems provides opportunities to deliver personalized learning at scale. Educational systems need to assess students so that they can provide better curricula tailored to each student's unique needs. Since there is a limited amount of time for quizzing a student, we need to test each student using those…

We report on questionnaire data gathered from teacher participants (n = 100) following their participation in the project, Exploring Mathematical Sequences of Connected, Cumulative and Challenging Tasks. Teachers shared their views about the effectiveness of various instructional approaches to support differentiation in mathematics, including…

Few studies have explored school-level effectiveness and teachers' mathematics instruction within classrooms simultaneously. This study used multiple data sources, including classroom observations and teacher interviews, to understand the mathematical classroom learning environments, and teachers' perceptions and expectations about their students…

This paper proposes the design of an ontology of multiple programming languages and give three examples to show the methodology. Our ontology aims to summarize the core of computational thinking logic by elaborating the concepts of three object-oriented programming languages in the industry: Python, Java, and C#. Therefore, the construction of the…