We evaluate the effectiveness of reading aloud a program code in learning programming from a neuroscientific perspective by measuring brain activity using a near-infrared spectroscopy device. The results show that when reading aloud and then reading silently, brain activity increases during reading aloud; a similar trend is observed when the…

While in traditional mathematics teaching methods, it is possible to prove concepts while teaching geometry and to reach generalizations that require more complex definitions by using concept findings, while in today's geometry teaching, learning that activates the student's discovery process gains importance. In this context, the aim of this…

Predicting student problem-solving strategies is a complex problem but one that can significantly impact automated instruction systems since they can adapt or personalize the system to suit the learner. While for small datasets, learning experts may be able to manually analyze data to infer student strategies, for large datasets, this approach is…

This paper presents an analysis of how resources were designed to support implementation of the new Queensland senior secondary mathematics syllabuses. The analysis draws on the concept of educative curriculum materials that build teachers' subject matter knowledge and pedagogical content knowledge. Such resources are intended to help teachers…

Personalized problem selection enhances student practice in tutoring systems. Prior research has focused on transparent problem selection that supports learner control but rarely engages learners in selecting practice materials. We explored how different levels of control (i.e., full AI control, shared control, and full learner control), combined…

The Jeong (2020) study found that greater use of backward and depth-first processing was associated with higher scores on students' argument maps and that analysis of only the first five nodes students placed in their maps predicted map scores. This study utilized the jMAP tool and algorithms developed in the Jeong (2020) study to determine if the…

In this report we show an investigation of how high-school students learn strategies to find intermediate numbers in an interval to understand the property of numerical density. Research has shown that some high-school students have difficulty in understanding this property. To mitigate this difficulty, we proposed a Hypothetical Learning…

The digital age 4.0 governs the progress of society and individuals require the acquisition of skills to face this reality. Education is the only way that will allow human beings to adapt to the new global challenges. Therefore, the achievement of productive experiences must be the priority of the current educational system to train competent…

A virtual reality learning unit for the functioning of a router is used to show how students at bachelor level can be provided with another teaching tool in the future, whereby the didactic approach of a change of perspective makes optimal use of the advantages of virtual reality and should enable a more profound understanding. Further studies are…

This paper investigates the expectations that a group of preservice secondary mathematics teachers had for how students would approach four particular algebra problems. Their responses to a set of open-ended items were content analysed. Findings show that the teachers ranged in the expectations that they held for their students. Some teachers…

The purpose of this study was to identify, analyze, synthesize and evaluate research papers aimed at the application of metacognitive strategies to improve the quality of learning in secondary school students. This document is a systematic mapping (SM) which offers a comprehensive overview of the methods, indicators, strategies, techniques and…

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…

When the COVID-19 pandemic forced school closures, science, technology, engineering, and mathematics (STEM) teachers were left with the challenging task of devising ways for students to conduct experiments at home. This was necessary because experiments and other hands-on activities are integral to STEM education and are linked to the development…

Stealth assessment in game-based learning environments has demonstrated significant promise for predicting student competencies and learning outcomes through unobtrusive data capture of student gameplay interactions. However, as machine learning techniques for student competency modeling have increased in complexity, the need for substantial data…

Despite curriculum expectations, many students, including a disproportionate number of girls, do not 'just know' (retrieve) single-digit addition facts by Year 3. The current study employed structured interviews to explore which strategies Year 3/4 students (n = 166) used when solving more difficult addition combinations. Results revealed that…