The existing performance evaluation methods in robot-assisted surgery (RAS) are mainly subjective, costly, and affected by shortcomings such as the inconsistency of results and dependency on the raters' opinions. The aim of this study was to develop models for an objective evaluation of performance and rate of learning RAS skills while practicing…

For offering adaptive learning to learners in intelligent tutoring systems, one of the fundamental tasks is knowledge tracing (KT), which aims to assess learners' learning states and make prediction for future performance. However, there are two crucial issues in deep learning-based KT models. First, the knowledge concepts are used to predict…

The curse of dimensionality, which has been widely studied in statistics and machine learning, occurs when additional features cause the size of the feature space to grow so quickly that learning classification rules becomes increasingly difficult. How do people overcome the curse of dimensionality when acquiring real-world categories that have…

Eye movement modelling examples (EMME) are computer-based videos displaying the visualized eye gaze behaviour of a domain expert person (model) while carefully executing the learning or problem-solving task. The role of EMME in promoting cognitive performance (i.e., final scores of learning outcome or problem solving) has been questioned due to…

The problem that this action research study addressed was the ineffective facilitation strategies used in professional development for teachers. The purpose of the study was to determine whether reflective practices impact teachers' instructional decisions. The study used Cognitive Coaching, a reflective coaching model, as its intervention. To…

What if educational programs designed curriculum with the end in mind, teaching and assessing only the knowledge and skills necessary for success in the workplace and broader life applications? Competency-Based Education (CBE) provides an answer to questions such as this one that key stakeholders such as employers, learners, parents, and educators…

New knowledge tracing models are continuously being proposed, even at a pace where state-of-the-art models cannot be compared with each other at the time of publication. This leads to a situation where ranking models is hard, and the underlying reasons of the models' performance -- be it architectural choices, hyperparameter tuning, performance…

Declarative concepts (abstract concepts denoted by key terms and definitions) are foundational content in many courses at most grade levels. The current research compared the relative effectiveness of provided examples to faded examples (a technique involving a transition from studying provided examples to completing partial examples to generating…

An extended (and probably unnecessary) parallel is drawn between engagement in mathematics and engagement in musical performance. Key facets of engagement are described and a model of how mathematics engagement plays out in task-level activities is discussed in light of new findings related to its social and emotional facets. Implications for…

In self-regulated learning (SRL), students organize, monitor, direct, and regulate their learning. In SRL, monitoring plays a critical role in generating internal feedback and thus adopting appropriate regulations. However, students may have poor SRL processes and performance due to their poor monitoring. Researchers have suggested providing…

Teacher learning is a huge challenge in instructional change, but relatively little work has carefully examined the mechanisms by which teachers learn, in contrast to the extensive work on programs that help teachers learn and the high-leverage instructional practices that are strong predictors of student learning. Specifically, relatively little…

One of the essential problems, in educational data mining, is to predict students' performance on future learning materials, such as problems, assignments, and quizzes. Pioneer algorithms for predicting student performance mostly rely on two sources of information: students' past performance, and learning materials' domain knowledge model. The…

Teaching and learning pronunciation can be challenging for second language (L2) teachers and learners alike. Many people may even adopt that attitude that, 'She'll be right', thinking that L2 learners' pronunciation difficulties will likely sort themselves out in time. Yet many learners consider pronunciation to be the most difficult oral…

How can we learn to use properly business software, digital environments, games or intelligent tutoring systems (ITS)? Mainly, we assume that the new user will learn by doing. But what about the efficiency of such a method? Our approach proposes an answer by introducing on-line coaching. In learning process, learners may need guidance to help them…

This qualitative, phenomenological study addressed the research question: What is the nature of the learning experiences of leadership coaches that lead to coaching competency? With the increasing recognition of leadership coaching as a meaningful leadership development experience (Allen & Hartman, 2008; Maltbia, Marsick, & Ghosh, 2014;…