When applying text learning algorithms to complex tasks, it is tedious and expensive to hand-label the large amounts of training data necessary for good performance. This paper presents bootstrapping as an alternative approach to learning from large sets of labeled data. Instead of a large quantity of labeled data, this paper advocates using a small amount of seed information and a large collec...

Learner corpora are receiving special attention as an invaluable source of educational feedback and are expected to improve teaching materials and methodology. However, they include various types of incorrect sentences. Error type classification is an important task in learner corpora which enables clarifying for learners why a certain sentence is classified as incorrect in order to help learne...

This paper presents the open learner modelling capabilities offered by an adaptive web testing tool. Adaptation decisions are based on user customizable compound rules requiring the identification of several learner characteristics which are then displayed graphically and textually to learners and educators. The open learner modelling capabilities include anonymous access to models of peers and...

Learner-centered education becomes more and more popular. One way of offering learner-centered education is to have assignments where learners can select from a pool of learning tasks with different difficulty levels (e.g., many easy tasks, few challenging tasks, etc.). However, a problem that learners can face in such assignments is to select the tasks that are most appropriate for them. In th...

Three potential sources of comprehensible input for second language acquisition are examined: Modified Input, Interactionally Modified Input and Modified Output. To this end, an attempt is made to closely investigate how each type of linguistic environment facilitates learner comprehension, and subsequently, acquisition. Different theoretical claims as well as a number of empirical studies are ...

Successfully promoting engagement within learning environments is a subject of increasing attention within the AI in Education community. Evidence is mounting that game-based learning environments hold great potential to engage students, but disengaged behavior is still observed. Devising adaptive strategies to re-engage students in the learning task is a key open research question. Toward that...

The advancement in Information and Communication Technology (ICT) has provided new opportunities for teaching and learning in the form of e-learning. However, developing specialized contents, accommodating profiles of learners, e-learning pedagogy and available ICT infrastructure are the real challenges that need to be properly addressed for any successful e-learning system. The adaptability in...

Educational Badges are touted as an alternative assessment that can increase learner motivation. We considered two distinct models for educational badges; merit badges and videogame achievements. To begin unpacking the relationship between badges and motivation, we conducted a study using badges within an intelligent-tutor system for teaching applied mathematics to middle-school students. Our f...

The purpose of this study is to evaluate the English version and a Malay translation of the 21-item Learner Awareness Questionnaire for its application to assess student learning in higher education. The Learner Awareness Questionnaire, originally written in English, is a quantitative measure of how and why students learn. The questionnaire gives an indication of the process and motives to lear...