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…

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…

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 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…

This article investigates the relationships between test takers' strategy use and test performance on an EFL reading test. For this study 209 Chinese college students were invited to participate in a reading comprehension test and answer a 30-item strategy use questionnaire. Results showed that two factors underlay test takers' reading test…

This paper reports findings from the study that assessed the first year Indian ESL students' awareness of reading strategy use. It also investigated the relationship that exists between reading strategy use and the reading comprehension achievements of the Indian ESL students. The study utilized two instruments such as SORS and RCT which is the…

The experience of teaching informal logic (sometimes called practical logic) at the introductory level over the last fifteen years has allowed the author the opportunity to identify some interesting problems. These problems have been encountered by students attempting to understand some of the ideas presented in the informal logic course and by…

The main purpose of this study was to compare the strategies used by Chinese-speaking students when confronted with familiar versus unfamiliar topics in a multiple-choice format reading comprehension test. The focus was on describing what students do when they are taking reading comprehension tests by asking students to verbalize their thoughts.…

The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…

Presents a classification scheme for reading-related exercises advocated in English-as-a-Foreign-Language textbooks. The scheme proposes a hierarchy of the degree and type of mental processing required by various vocabulary exercises. The categories of classification are selective attention, recognition, manipulation, interpretation and…