Advances in technology have increased the opportunities for designers to personalise instruction based on student actions. We conducted semi-structured interviews with an international sample of educational professionals including researchers, teachers and designers, and reviewed interdisciplinary literature on personalisation to propose a…

Preparing elementary-aged children to practice data science literacies is important and understudied. Our research investigates how data science curricula might be effectively designed and integrated into elementary classroom instruction. We use narrative case study methodology, focusing on a single case detailing a second-grade teacher's approach…

As student populations in schools become more diverse in many western countries, the urge for teachers to provide instruction that caters for students' needs increases concurrently. Teachers however find it difficult to put differentiated instruction into practice. This study is based on an action research project that documented teachers'…

This article is devoted to the development of an adaptive personalized online course in mathematics for students, which was implemented on the Stepik platform. The authors discuss a non-linear approach to online learning that adapts to the needs of the student as they progress through the course content, which leads to an individual learner's…

This study of usage and effectiveness of Goalbook Toolkit is based on student data from a large suburban school district in the northeastern US and teacher-level application usage data from Goalbook Toolkit from the 2021-2022 school year. Goalbook Toolkit enables teachers to personalize instructional supports for specialized student populations.…

Educator preparation, personalized learning (PL) implementation, and applications of Generative AI converge as three interrelated systems that, when carefully designed, can help achieve the long-sought goal of providing inclusive education for all learners. However, realizing this potential comes with challenges resulting from theoretical…

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…

This research aims to describe the mathematical problems posed by prospective elementary school pre-service teachers in differentiated learning. This research uses a qualitative approach and uses problem-posing tasks and interviews as tools for collecting data. In the problem-posing task, information on learning conditions is provided, which…

Persuasion is inherent to the instructional process. Instructions delivered through online programs do not always generate expected and consistent learning outcomes, and hence persuasion in online instructional design is even more critical. Through this mixed-method study, we aim to identify the most widely used persuasive design techniques, the…

Advancing learners' agency is a key educational goal. The advent of personalized EdTech, which automatically tailor learning environments to individual learners, gives renewed relevance to the topic. EdTech researchers and practitioners are confronted with the same basic question: What is the right amount of agency to give to learners during their…

What do you do when employees want sustained, in-person, dialogic learning opportunities, but the realities of their work prevent participation in such learning events? Microlearning can offer an important solution to this conundrum but also requires careful navigation between design recommendations, learner preferences, learning objectives tied…

As generative AI tools are increasingly popular in today's teaching and learning process, challenges and opportunities occur at the same time. Self-directed learning has been regarded as a powerful learning ability that supports learners in informal learning contexts and its importance rises in salience when incorporating AI into learning. This…

This paper describes how an interdisciplinary design team used the Four-Component Instructional Design (4C/ID) model and its accompanying Ten Steps design approach to systematically design a professional development program for teaching differentiation skills to primary school teachers. This description illustrates how insights from a cognitive…

In this study, we have proposed and implemented a sequential data analytics (SDA)-driven methodological framework to design adaptivity for digital game-based learning (DGBL). The goal of this framework is to facilitate children's personalized learning experiences for K-5 computing education. Although DGBL experiences can be beneficial, young…

Specially designed instruction (SDI) is at the heart of special education. The broad legal definition of SDI allows special educators to customize it for students, but could lead to role ambiguity, particularly in inclusive classes where most students with learning disabilities receive services. To examine interpretations of SDI, we conducted a…