Successful applications of connectionist learning to educational issues include word reading, single-digit multiplication, and prime-number detection. While closely modeling human learning, these applications underscore the importance of practice, feedback, prior knowledge, and wellstructured lessons. Among the remaining simulation challenges in educational domains are other reading and arithme...

Adaptive eLearning systems are able to adjust to a user’s learning needs, usually by user modeling or tracking progress. Such learner-adaptive behavior has rapidly become a hot topic for eLearning. This contribution presents original research on using differences in individual learning styles. Factors related to performance, motivation, satisfaction, and previous knowledge were targeted and use...

Personalization approaches in learning environments can be addressed from different perspectives and also in various educational settings, including formal, informal, workplace, lifelong, mobile, contextualized, and selfregulated learning. PALE workshop offers an opportunity to present and discuss a wide spectrum of issues and solutions, such as pedagogic conversational agents, personal learnin...

Massive open online courses (MOOCs) attract a large number of student registrations, but recent studies have shown that only a small fraction of these students complete their courses. Student dropouts are thus a major deterrent for the growth and success of MOOCs. We believe that understanding student engagement as a course progresses is essential for minimizing dropout rates. Formally defining...

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...