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…

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…

We propose that machine-learned computational models (MLCMs), in which the model parameters and perhaps even structure are learned from data, can complement extant approaches to the study of text and discourse. Such models are particularly useful when theoretical understanding is insufficient, when the data are rife with nonlinearities and…

Metacognitive awareness is considered a crucial factor in reading comprehension. In the present study, the quantitative research method was applied using descriptive statistics, T-test, and ANOVA to identify: (1) What is second language (L2) Vietnamese students' metacognitive awareness of reading strategies? (2) Are there any significant…

This study examined how machine learning and natural language processing (NLP) techniques can be leveraged to assess the interpretive behavior that is required for successful literary text comprehension. We compared the accuracy of seven different machine learning classification algorithms in predicting human ratings of student essays about…

This study examined how machine learning and natural language processing (NLP) techniques can be leveraged to assess the interpretive behavior that is required for successful literary text comprehension. We compared the accuracy of seven different machine learning classification algorithms in predicting human ratings of student essays about…

The Hierarchical Diagnostic Classification Model (HDCM) reflects on the sequences of the presentation of the essential materials and attributes to answer the items of a test correctly. In this study, a foreign language reading comprehension test was analyzed employing HDCM and the generalized deterministic-input, noisy and gate (G-DINA) model to…

Dialogism provides the grounds for building a comprehensive model of discourse and it is focused on the multiplicity of perspectives (i.e., voices). Dialogism can be present in any type of text, while voices become themes or recurrent topics emerging from the discourse. In this study, we examine the extent that differences between…

Although reading is an essential skill for college success, little is known about how college students with and without disabilities read within their actual college curriculum. In the present article, we report on two studies addressing this issue. Within study 1, we developed and validated curriculum-based oral reading fluency measures using a…

This article reports the findings of a study in which we investigated the possible effects of word order on the acquisition of case marking. In linguistic typology (e.g. Greenberg, 1963) a very strong correlation has been shown between dominant SOV (subject object verb) word order and case marking. No such correlation exists for SVO (subject verb…

This study aims to examine the relationship between reading comprehension and lexical and grammatical knowledge among English as a foreign language students by using an Artificial Neural Network (ANN). There were 825 test takers administered both a second-language reading test and a set of psychometrically validated grammar and vocabulary tests.…

This study aims to explore the application of reading strategies to the reading of English texts by Thai vocational college students. Data were collected via questionnaire surveys, think-aloud experiments and semi-structured interviews. The research results reveal different typologies of reading strategies adopted by lower and higher level English…

The article summarizes the study of Reading Comprehension Tasks utilized in preparation for Unified (Russian) State Exam. The corpus of reading tasks was analyzed with the use of the classification algorithm developed by Weir and Urquhart (1998), and aimed at determining the level of engagement (local or global) and type of engagement (literal or…

The purpose of this study is to determine which reading strategies students use while learning Turkish as a foreign language and investigate the effects of these strategies on reading comprehension skill. Conducted in compliance with "pretest-posttest control group model" as the experimental design, this research involved totally 36…

This article is a brief account of the use of Bloom's Taxonomy of Educational Objectives (Bloom, Engelhart, Furst, Hill, & Krathwohl, 1956) by staff of the Law School Admission Council in the 1990 development of redesigned specifications for the Reading Comprehension section of the Law School Admission Test. Summary item statistics for the…