Prior research shows that when parents monitor, check, and assist in completing homework without an invitation, their children's motivation and academic achievement often decline. We propose that intrusive support from parents might also send the message that children are incompetent, especially if they believe their intelligence is fixed. We…

Relatively late mastery of scalar implicatures has been suggested to correlate with children's immature processing capacities, such as their limited working memory. Yet, many studies that tested for a link between children's working memory and their computation of scalar implicatures have failed to find any correlation. One possible reason is that…

Artificial intelligence-based tools are rapidly revolutionizing the field of higher education, yet to be explored in terms of their impact on existing higher education institutions' (HEIs) practices adopted for continuous learning improvement, given the sparsity of the literature and empirical experiments in undergraduate degree programs. After…

Automated scoring of free drawings or images as responses has yet to be used in large-scale assessments of student achievement. In this study, we propose artificial neural networks to classify these types of graphical responses from a TIMSS 2019 item. We are comparing classification accuracy of convolutional and feed-forward approaches. Our…

This book presents 28 practical case studies in detail and 49 case studies in brief. The collection of these case studies focuses on one or more aspects of exploration and practice on the following topics: smart campus and smart classroom, resource construction and sharing, new teaching mode, comprehensive quality evaluation of students, teacher…

The recent advancement of large language models presents numerous opportunities for teaching and learning. Despite widespread public debate regarding the use of large language models, empirical research on their opportunities and risks in education remains limited. In this work, we demonstrate the qualities and shortcomings of using ChatGPT 3.5…

Special education in the United States has been historically problematic for several reasons, and limited research has been conducted to examine the close connection between teachers' experiences in the classroom (both general and special education teachers) and principals' leadership. Teacher perceptions have a great impact on the learning of…

The purpose of this follow-up study was to determine the specific contribution of phonological processing abilities, including phonological awareness (PA), rapid automatized naming (RAN) and verbal short-term memory (VSTM), as well as visual perception (VP), in word reading accuracy. A sample of 62 native Arabic speaking children from Grade 1…

The phonological loop of the working memory system plays a key role in language learning. This study examined the trajectories between two dual-language learner groups (English Learners [ELs] and Spanish Learners [SLs]) on phonological loop measures in L1 and L2. At Grade 1, children completed a battery of vocabulary and cognitive measures and…

Emotional intelligence is a crucial and key ingredient of great leadership and can be seen as a transformational part of leadership that can bring unparalleled leader, member, and organizational success. While a plethora of research and data exists on emotional intelligence, deficiencies in evidence exist to understand the relevance in school…

Language is one of the hallmarks of intelligence, demanding explanation in a theory of human cognition. However, language presents unique practical challenges for quantitative empirical research, making many linguistic theories difficult to test at naturalistic scales. Artificial neural network language models (LMs) provide a new tool for studying…

The annual Application Trends Survey from the Graduate Management Admission Council (GMAC™) provides the world's graduate business schools with data and insights to understand current trends in applications sent to graduate management education (GME) programs. This year's summary report begins with information from new survey questions about…

The present study examined the structure of the Comprehensive Test of Nonverbal Intelligence-Second Edition (CTONI-2) normative sample using exploratory factor analysis, multiple factor extraction criteria, and higher-order exploratory factor analytic techniques that were not reported in the in the CTONI-2 "Examiner's Manual". Results…

This chapter sheds light on the ways in which institutional research (IR) professionals can be involved in the development and/or modification of high-quality academic programs. Suggestions from authors within this volume for how IR can assist in accomplishing these goals will be integrated and organized in alignment with Terenzini's (1993) three…

SQL-Tutor is the first constraint-based tutor. The initial conference papers about the system were published in 1998 (Mitrovic 1998a, 1998b, 1998c), with an "IJAIED" paper published in 1999 (Mitrovic and Ohlsson, "International Journal Artificial Intelligence in Education," 10(3-4), 238-256, 1999). We published another…