The purpose of this study is to propose a diagnostic approach to identify engineering students' English reading comprehension errors. Student data were collected during the process of reading texts of English for science and technology on a web-based cumulative sentence analysis system. For the analysis, the association-rule, data mining technique…

This case study analyzed data from an asynchronous written mediated exchange between a native speaker and nonnative speaker of English. Three methods of analysis-error analysis, propositional complexity (idea units), and qualitative analysis were used to analyze learner performance over time. The results from these methods were visualized and…

The constructs of complexity, accuracy and fluency (CAF) have been used extensively to investigate learner performance on second language tasks. However, a serious concern is that the variables used to measure these constructs are sometimes used conventionally without any empirical justification. It is crucial for researchers to understand how…

This study contributes to the literature on cross-linguistic literacy relationships for English language learners, and in particular, the Spanish-influenced spelling patterns of Spanish-English bilinguals. English spelling, reading, and vocabulary assessments were administered to 220 students in four TWI programs over a three-year period, from…

The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…

Report of a study which examined the English proficiency of 22 Arabic-speaking students enrolled in a low intermediate intensive English course at the American University of Beirut. (Author)

Presents the results of a study of the errors made on essays by Moroccan students of English as a second language. The average number of grammatical errors was 10.62 per paper and the most frequent errors were related to tense, prepositions, articles, form, and concord. (SED)

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…