Multi-componential models of translation competence are widely used in translator training as a yardstick for curricular and syllabus design. These models must be adapted to reflect professional trends, such as the impact of artificial intelligence, and machine translation in particular, on working methods. This paper describes the process of…

Language proficiency diagnosis is essential to extract fine-grained information about the linguistic knowledge states and skill mastery levels of test takers based on their performance on language tests. Different from comprehensive standardized tests, many language learning apps often revolve around word-level questions. Therefore, knowledge…

Considering noticeable improvements in the accuracy of Google Translate recently, the aim of this study was to examine second language (L2) learners' ability to use post-editing (PE) strategies when applying AI tools such as the neural machine translator (MT) to solve their lexical and grammatical problems during L2 writing. This study examined 57…

This study explored 42 English as a foreign language (EFL) undergraduates' self-regulated learning with and without technology in a university in northwest Taiwan. Based on the conceptual framework on Zimmerman's (Zimmerman, B. J. 2000. "Attaining Self-regulation: A Social Cognitive Perspective." In "Handbook of Self-Regulation:…

By order of the Civil Service Commission of Belgium, Didascalia, the University of Antwerp developed an adaptive system for evaluating second-language proficiency. A computer model based on probability and information theory was developed; the first module of the ATLAS test currently assesses approximately 15,000 civil servants yearly. (one…

Discusses a computer-assisted language learning model developed by the Didascalia center designed to comply with as many Belgian criteria as possible and based on contents and events in an object-oriented approach. Describes how the didacteme as basic object can enhance learner-content interaction and how this approach can lead to a new platform…

The ability of the Rasch model computer program BIGSTEPS to perform concurrent calibration and differences in the outcomes between vertical equating using a common item anchoring method and a common item concurrent calibration method was examined. The data for the investigation came from two Chinese language tests that researchers wished to…

Discusses the development of the Adaptive Testing Linguistic Achievement Significance (ATLAS) test used to evaluate second language proficiency of Belgian civil servants. Notes that testers encountered various problems caused by the complexity of language, the difference in background of the candidates and the absence of official objective test…

The development of a prototype computer-assisted second language listening comprehension test is reported. The project investigated the feasibility of computer-adaptive second language listening tests using microcomputer equipment and developing model testing software. Tests for French and for English as a Second Language (ESL) were developed. The…

An attempt is made is this paper to examine the validity of the American Council on the Teaching of Foreign Languages (ACTFL) scale through a comparison of the scaling of speaking tasks and speech performances by the scale and by a Rasch analysis of judgments made by "naive" persons. The results of the multi-faceted Rasch analysis seem…

These proceedings contain the papers of the IADIS International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2013), October 22-24, 2013, which has been organized by the International Association for Development of the Information Society (IADIS), co-organized by The University of North Texas (UNT), sponsored by the…