Purpose: Recent advances in artificial intelligence provide opportunities to capture and represent complex features of human language in a more automated manner, offering potential means of improving the efficiency of language assessment. This review article presents computerized approaches for the analysis of narrative language and identification…

Artificial Intelligence (AI) based assessments are commonly used in a variety of settings including business, healthcare, policing, manufacturing, and education. In education, AI-based assessments undergird intelligent tutoring systems as well as many tools used to evaluate students and, in turn, guide learning and instruction. This chapter…

Assessments of natural language can provide vast information about individuals' thoughts and cognitive process, but they often rely on time-intensive human scoring, deterring researchers from collecting these sources of data. Natural language processing (NLP) gives researchers the opportunity to implement automated textual analyses across a…

ChatGPT is emerging as a formidable asset for music educators, poised to enhance student engagement, refine assessment methods, and automate repetitive tasks related to music teaching. The core of this perspective revolves around the use of custom prompt templates that support individualized and reflexive teaching practices. The broader…

With the aim to provide teachers with more specific, frequent, and actionable feedback about their teaching, we explore how Large Language Models (LLMs) can be used to estimate "Instructional Support" domain scores of the CLassroom Assessment Scoring System (CLASS), a widely used observation protocol. We design a machine learning…

In this entry, we define Intelligent Tutoring Systems (ITSs) and present a description of their core components. We outline a history of the development of ITSs with a focus on key issues that have driven change and innovation in ITSs from their inception to present day. We also present a brief case study on a specific ITS, Inq-ITS (Inquiry…

It can be challenging to accurately assess speech and language processing in preverbal or minimally verbal individuals with neurodevelopmental disabilities (NDD) using standardized behavioral tools. Event-related potential and eye tracking methods offer novel means to objectively document receptive language processing without requiring purposeful…

Learning to read is an expectation rather than an exception in society today. Despite this, some children experience reading difficulties. The purpose of this article is to review recent and seminal research on reading difficulties through the lenses of three perspectives: cognitive, social and cultural and interactive. The three perspectives are…

Most research in psycholinguistics relies on online measures such as reading time to inform and test theories of language comprehension. However, the value of offline measures such as question-answering performance is sometimes overlooked in sentence processing work. Consequently, psycholinguists do not yet understand how the tasks and measures…

With the increasing refinement of language processing models and the new discoveries about which variables can modulate these processes, stimuli selection for experiments with a factorial design is becoming a tough task. Selecting sets of words that differ in one variable, while matching these same words into dozens of other confounding variables…

This paper illustrates an approach for architectural design of a Learning Management System (LMS), which is verifiable against the Learning Technology System Architecture (LTSA) conformance rules. We introduce a new method for software architectural design that extends the Unified Modeling Language (UML) component diagram with the formal…

With the concise and readable "Brain Words," you will learn how children's brains develop as they become readers and discover ways you can take concrete steps to promote this critical developmental passage. Introducing their original, research-based framework of "brain words"--dictionaries in the brain where students store and…

This article proposes a model for teaching interpreting for tourism purposes. It shows the aims of the model, interpreting materials, training strategies, training environment and assessment techniques. The model aims to train students to interpret in English with or without prior preparation or knowledge of the topic and without taking or reading…

Our goal with this special issue was to bring together a range of research on learning to read in more than one language. In this introduction, we provide an overview of clear diversity across the language pairings, learning contexts and reading-related skills examined. We also highlight some particularly noteworthy and often intriguing findings…

What is the root cause of word frequency effects on lexical decision times? W. S. Murray and K. I. Forster (2004) argued that such effects are linear in rank frequency, consistent with a serial search model of lexical access. In this article, the authors (a) describe a method of testing models of such effects that takes into account the…