Common depictions of the simple view of reading (SVR), in both research and practice, describe reading comprehension difficulties by using the dichotomous variables of "poor" and "good" for each of its three constructs. But these fail to accurately capture the role the product of the two subcomponents of word recognition and…

Although the generalized deterministic inputs, noisy "and" gate model (G-DINA; de la Torre, 2011) is a general cognitive diagnosis model (CDM), it does not account for the heterogeneity that is rooted from the existing latent groups in the population of examinees. To address this, this study proposes the mixture G-DINA model, a CDM that…

Automatic short-answer grading has been studied for more than a decade. The technique has been used for implementing auto assessment as well as building the assessor module for intelligent tutoring systems. Many early works automatically grade mainly based on the similarity between a student answer and the reference answer to the question. This…

Conversations about the nature of dyslexia and how dyslexia impacts reading and listening comprehension get to the heart of classification and identification models of dyslexia. Recently, this conversation has been expanded to include efforts to estimate the prevalence of dyslexia in the population through the introduction of a discrepancy index…

Reading comprehension tasks are commonly used for developing students' reading ability. In order to adaptively recommend reading comprehension materials to students engaged in computerized testing, the information in an item bank (a collection of test items stored in a dataset) must be effectively indexed. Familiarity with the topics present in…

The primary goal of the present systematic review was to examine the criteria and measures used for assessing students with "specific comprehension deficit" (SCD) who have adequate decoding skills but still perform poorly on reading comprehension assessments. From a systematic review of 32 studies, we found four predominant selection…

Prompting students to generate constructed responses as they read provides a window into the processes and strategies that they use to make sense of complex text. In this study, Markov models examined the extent to which: (1) patterns of strategies; and (2) strategy combinations could be used to inform computational models of students' text…

A fundamental goal in the study of human cognition is to understand the transfer of knowledge. This goes hand-in-hand with the translational goal of promoting such transfer via instructional techniques. Despite a rich history of research using the analogical problem-solving paradigm, no study activity has been found to produce a robust rate of…

Purpose: Fourth grade typically involves shifting the instruction from "learning to read" to "reading to learn," which can cause students to struggle. However, early reading intervention guided by assessment has demonstrated effectiveness in preventing later reading difficulties (RD). This study presents a classification and…

This study sought to find if the implementation of the strategy of goal setting and reflective portfolios would improve reading comprehension among long-term English learners (LTELs), which in turn would impact their FastBridge aReading scores. LTELs have difficulty reclassifying, resulting in negative outcomes regarding graduation rates and…

In this research, the questions in the Turkish Course (2,3,4) Worksheets were examined in terms of various classification systems. In this direction, the questions in the worksheets were evaluated with the document-material analysis technique in accordance with the structure of the qualitative research. During the research process, Turkish Course…

Many of the analytical models commonly used in educational research often aim to maximize explained variance and identify variable importance within models. These models are useful for understanding general ideas and trends, but give limited insight into the individuals within said models. Data envelopment analysis (DEA), is a method rooted in…

For decades, educators have relied on readability metrics that tend to oversimplify dimensions of text difficulty. This study examines the potential of applying advanced artificial intelligence methods to the educational problem of assessing text difficulty. The combination of hierarchical machine learning and natural language processing (NLP) is…

For decades, educators have relied on readability metrics that tend to oversimplify dimensions of text difficulty. This study examines the potential of applying advanced artificial intelligence methods to the educational problem of assessing text difficulty. The combination of hierarchical machine learning and natural language processing (NLP) is…

Given the significant global influence of the Common European Framework of Reference for Languages: Teaching, Learning, and Assessment (CEFR) on English language education, this study deals with aligning a university's academic reading tests to the CEFR. It aimed at validating the test construct of the academic reading tests in relation to the…