This paper discusses a data-driven learning (DDL) tool, which consists of a learner corpus for L2 learners of German. The learner corpus, in addition to submissions from ongoing current users, has been constructed from millions of submissions from a variety of activity types of approximately 5000 learners who used the E-Tutor CALL system over a period of five years. By following a cyclical proc...

This study provides empirical evidence of a highly specific use of games in education— the assessment of the learner. Linear regressions were used to examine the predictive and convergent validity of a math game as assessment of mathematical understanding. Results indicate that prior knowledge significantly predicts game performance. Results also indicate that game performance significantly pre...

This paper considers learner misconceptions information which is presented to the learner in an open learner model. We suggest that specific information about misconceptions may be of benefit to the learner, to help them reflect on their knowledge and understanding. We investigate acceptance of their misconceptions presented as animations and step-by-step text descriptions by two groups of user...

OBJECTIVES To develop an educational program designed to train health care providers in resource limited settings to carry out neonatal resuscitation. We analyzed facilitator and learner perceptions about the course, examined skill performance, and assessed the quality of instruments used for learner evaluation as part of the formative evaluation of the educational program Helping Babies Breath...

This paper presents a knowledge learning diagnostic approach implemented in an educational system. Probabilistic inference is used here to diagnose knowledge understanding level and to reason about probable cause of learner’s misconceptions. When one learner takes an assessment, the system use probabilistic reasoning and will advice the learner about the most appropriate error cause and will al...

Since its publication in 2001, the Common European Framework of Reference for Languages (CEFR) has gained a leading role as an instrument of reference for language teaching and certification. Nonetheless, there is a growing concern about CEFR levels being insufficiently illustrated in terms of authentic learner data. Such concern grows even stronger when considering languages other than English...

This paper discusses learner-centered approaches and evaluation in English language teaching and learning materials design. Based on the researches in this field, a framework is developed for the evaluation of learner-centered components contained in the materials. Thereafter, we apply the criteria to the assessment of two major English textbooks College English (1991) and Experiencing English ...

In this paper, we present the first experiments using neural network models for the task of error detection in learner writing. We perform a systematic comparison of alternative compositional architectures and propose a framework for error detection based on bidirectional LSTMs. Experiments on the CoNLL-14 shared task dataset show the model is able to outperform other participants on detecting ...