نتایج جستجو برای: learner modeling
تعداد نتایج: 403975 فیلتر نتایج به سال:
The rate of technological progression seems to have encouraged teachers and researchers to reassess their pedagogic beliefs in an attempt to maintain their control over the learning process and the influx of authentic materials. With regard to the field of language teaching, technology seems to be demanding a re-examination of pedagogies in order to find ways of making use of current technology...
The paper describes a learner corpus of Czech, currently under development. The corpus captures Czech as used by nonnative speakers. We discuss its structure, the layered annotation of errors and the annotation process.
This paper will describe current work at Alelo to track learner interactions with learning systems and analyze the data to derive profiles of learner competencies. This includes both linguistic knowledge (e.g., the ability to recognize and recall words and phrases) and linguistic skills (e.g., the ability to perform communicative functions involving speaking and listening). The learner modeling...
As high attrition rates becomes a pressing issue of online learning and a major concern of online educators, it is important to investigate online learner motivation, including its antecedents and outcomes. Drawing on Deci and Ryan’s self-determination theory, this study proposed and tested a model for online learner motivation in two online certificate programs (N = 262). Results from structur...
Affective computing has been the focus of artificial intelligence for several years. The amalgamation of affective computing and facial expression recognition technique has lead to the possibility of harmonious human-computer interaction in E-learning. But the fact of E-learning is that emotional absences between computer and E-learner are serious. This paper researches into the learning emotio...
This research deals with two issues for learner modeling: uncertainty and multiple perspectives. Hence, it proposes a process called cognitive mapping to acquire and describe objects of a domain of study, and set fuzzy-causal relationships among them. Objects are characterized as linguistic variables that are instantiated by linguistic terms; whereas relations are outlined by means of fuzzyrule...
A challenge of student modeling in adaptive virtual learning environments is to get enough information about the learner. Information about the learner such as the domain competence, the learning style or the cognitive traits of a learner is very important for an adaptive environment to achieve its main aim, namely to adapt to the learners’ needs. In this paper we investigate the interaction be...
High potential variation in prior knowledge, metacognitive skills, and motivation within learner populations can prompt design strategies that combine explicit structuring and scaffolding with increased learner control. We examine the use of such a strategy—a structured inquiry cycle—in a corpus of online modules (50) for adult informal learners using process mining. We apply process analysis t...
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