A Heuristic Understanding Model

Learning is an actor's process of change towards an increased capability of solving anticipated problems. Learners often prefer to acquire these capabilities in artificial environments such as schools, libraries, or similar. These artificial environments can be tailored towards more efficient and effective learning by protecting the learner from frustration, fear or consequences of errors. They also can encourage learners in their progress by providing reward for high performance. Traditional e-learning environments focus on content provisioning, motivation, or feedback. In this paper, we focus on aiding understanding. We consider understanding as key learning activity because it is the prerequisite for conscious change. Learning viewed that way means identifying important claims, figuring out what they mean, and to assess the truth thereof.