In this paper we aim to describe the process by which our personalised web-based collaborative teaching/learning methodology (CECIP – Collaboration – Evaluation – Critical thinking – Individual assessment – learner Profile) evolved originating from Vygotsky’s theory and based on the (C) collaborative construction of student’s knowledge, (E) developing evaluation and assessment skills, (C) devel...

Learner autonomy is mandated to be developed by the newest Curriculum of 2013. This research explored use E-Portfolio develop learner especially in area leaner involvement, reflection, and target language use. The mixed method design involving quantitative qualitative data was used this research. itself collected naturalistic settings two vocational high school classes. classes were taken from ...

In this paper, we discuss how error annotation for learner corpora should be done by explaining the state of the art of error tagging schemes in learner corpus research. Several learner corpora, including the NICT JLE (Japanese Learner English) Corpus that we have compiled are annotated with error tagsets designed by categorizing “likely” errors implied from the existing canonical grammar rules...

This paper focuses on the collaborative learning of mathematics in which learners effectively acquire knowledge of common exercises through discussion with other learners. During collaborative learning, learners sometimes cannot solve exercises successfully, because they cannot derive answers by themselves or they hesitate to propose answers through discussion. To cope with such situations, thi...

Analysis of student-tutor coaching dialogs suggest that good human tutors attend to and attempt to influence the motivational state of learners. Moreover, they are sensitive to the social face of the learner, and seek to mitigate the potential face threat of their comments. This paper describes a dialog generator for pedagogical agents that takes motivation and face threat factors into account....

In many language learning scenarios, it is important to anticipate spelling errors. We model the spelling difficulty of words with new features that capture phonetic phenomena and are based on psycholinguistic findings. To train our model, we extract more than 140,000 spelling errors from three learner corpora covering English, German and Italian essays. The evaluation shows that our model pred...