Research on cognitive load theory (CLT) has focused primarily on identifying the mechanisms and strategies that enhance cognitive learning outcomes. However, CLT researchers have given less attention to the ways in which cognitive load may interact with the motivational and emotional aspects of learning. Motivational beliefs have typically been…

Data mining methods have drawn considerable attention across diverse scientific fields. However, few applications could be found in the areas of psychological and educational measurement, and particularly pertinent to this article, in test security research. In this study, various data mining methods for detecting cheating behaviors on large-scale…

There has been an observed increase in literature concerning feedback within the last decade, with the importance of feedback well documented. Current discourse promotes feedback as an interactive, dialogic process between the learner and the learning partner. While much has been written about effective feedback, less is known about key elements…

Aesthetics has been regarded as a fundamental personal value. Most of the previous studies regarding aesthetic experience (AE) have focused on fine arts, rather than the everyday arts that are closely related to our everyday life. This study analysed the relationships among aesthetic life experience, expertise and different types of AE outcomes…

This article reviews several software programs designed to conduct item response theory (IRT) scale linking and equating. The programs reviewed include IRTEQ, STUIRT, and POLYEQUATE. Features and functionalities of each program are discussed and an example analysis using the common-item non-equivalent groups design in IRTEQ is provided.

One of the most cited methodological issues is with the response format, which is traditionally a single-response Likert response format. Therefore, our study aims to elucidate and illustrate an alternative response format and analytic technique, Thurstonian item response theory (IRT), for analyzing data from surveys using an alternate response…

"Ready to Learn" introduces the FRAME model, a results-oriented approach for creating meaningful and motivating learning experience across grade levels and content areas. Rely on the model's five steps--(1) focus, (2) reach, (3) ask, (4) model, and (5) encourage--to help you launch engaging lessons, articulate clear expectations, and…

Research provides strong support for the promise of coaching, or job embedded professional development, particularly on improving teachers' classroom instruction. As part of a comprehensive professional development model, 71 middle school (grades 6-8) science, social studies, and language arts teachers were assigned to an instructional coach to…

Increased accountability for quality instruction leading to higher achievement for all students has made it essential for identification and implementation of evidence-based practices. The Council for Exceptional Children's development of quality indicators (QI) has provided measures for researchers to apply to a body of literature to determine if…

Pivotal response training (PRT) is an intervention that integrates principles of child development with those of applied behavior analysis (ABA). This means that facilitating a PRT interaction involves a simultaneous consideration of the learner with Autism Spectrum Disorder's (ASD's) developmental levels and progression, along with the…

This book addresses the validity of think-aloud protocols (TAPs) in L2 writing research through a mixed methods study and proposes effective approaches for their valid implementation. The book uncovers the reactive effects that TAPs have on L2 writing performance and processes, and examines how individual factors moderate this reactivity. It…

This book offers a comprehensive exploration of emotions in the context of education, aiming to shed light on their multifaceted roles and implications. Employing a who, what, when, where, why, how, and "so what" approach, this work delves into various aspects of emotions within educational settings. The book sets out to define emotions,…

We explore multi-modal machine learning-based approaches (facial expression recognition, auditory emotion recognition, and text sentiment analysis) to identify "negative moments" of teacher-student interaction during classroom teaching. Our analyses on a large (957 videos, each 20min) dataset of classroom observations suggest that: (1)…

In MOOCs for programming, Automated Testing and Feedback (ATF) systems are frequently integrated, providing learners with immediate feedback on code assignments. The analysis of the large amounts of trace data collected by these systems may provide insights into learners' patterns of utilizing the automated feedback, which is crucial for the…

Emotion is a central aspect for protecting the environment in environmental and sustainability education (ESE). As such, positive emotions toward nature can increase motivation to learn and take environmental action. This qualitative case study explored the complex interrelationship among place-based education, emotions and values related to ESE,…