This paper describes the difficulties faced by a group of middle school students (13- to 15-year-olds) attempting to translate algebraic statements written in verbal language into symbolic language and vice versa. The data used were drawn from their replies to a written quiz and semi-structured interviews. In the former, students were confronted…

Explanatory item response models (EIRMs) have been applied to investigate the effects of person covariates, item covariates, and their interactions in the fields of reading education and psycholinguistics. In practice, it is often assumed that the relationships between the covariates and the logit transformation of item response probability are…

Explanatory item response models (EIRMs) have been applied to investigate the effects of person covariates, item covariates, and their interactions in the fields of reading education and psycholinguistics. In practice, it is often assumed that the relationships between the covariates and the logit transformation of item response probability are…

Background: In opaque orthographies, such as English, children with low reading skills tend to rely more on semantic information due to their inadequate acquisition of sub-lexical knowledge. This tendency has also been reported for kanji, a non-alphabetic and opaque Japanese orthography. However, previous studies on this phenomenon have had…

This study examines the impact of the College, Career, and Community Writers Program (C3WP) on upper-elementary students' first draft writing quality, addressing the challenges teachers face in providing timely and effective feedback on extensive student writing, particularly in spelling, grammar, mechanics, and cohesion. The hypothesis posits…

Open-ended questions in mathematics are commonly used by teachers to monitor and assess students' deeper conceptual understanding of content. Student answers to these types of questions often exhibit a combination of language, drawn diagrams and tables, and mathematical formulas and expressions that supply teachers with insight into the processes…

Automatic speech recognition (ASR) has considerable potential to model aspects of classroom discourse with the goals of automated assessment, feedback, and instructional support. However, modeling student talk is besieged by numerous challenges including a lack of data for child speech, low signal to noise ratio, speech disfluencies, and…

The purpose of this study was to evaluate the types of spelling errors made by children with mild to moderate hearing loss (CMMHL) compared with children with typical hearing (TH) and to determine if types of spelling errors were related to linguistic or audiologic factors. CMMHL and TH completed measures of spelling, spoken language, speech…

This study aims to examine how Chinese learners develop in their use and misuse of English modal verbs from Grade 7 to 9. Specifically, it examines form-function connections and explores the factors behind learners' development. The main focus is on the modal verbs "can," "could," "will," "would,"…

In an intelligent tutoring system (ITS), it can be useful to know when a student has disengaged from a task and might benefit from a particular intervention. However, predicting disengagement on a trial-by-trial basis is a challenging problem, particularly in complex cognitive domains. In the present work, data-driven methods were used to address…

Children who are deaf and hard of hearing (DHH) often struggle with spelling, which can have a negative effect on their written expression. Recent research has shown that linguistic analyses of spelling errors can be used to identify areas of need and guide remediation for spelling success. However, this research has not been conducted with…

The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…