Using just-in-time information to support scientific discovery learning about geometrical optics in a computer-based simulation
نویسندگان
چکیده
Many problems that learners regularly encounter during discovery learning with computer-based simulations have been identified. A number of studies have examined different ways of support for discovery learning by facilitating the learning process. This study examines the effect of facilitating access to prior knowledge through just-in-time information. It is expected that access to just-in-time information will foster learning but will not interfere with it. To test these hypotheses, an experiment was conducted in which a group of students who worked with a computer simulation had access during learning to ‘knowledge tips’. Performance of this group was compared with that of a group who had no access to knowledge tips. It was found that the experiment group showed a better learning gain than the control group. The implications of the results are shortly discussed.
منابع مشابه
Using domain-specific and generic knowledge to support discovery learning about geometrical optics in a computer-based simulation
متن کامل
Dynamic Obstacle Avoidance by Distributed Algorithm based on Reinforcement Learning (RESEARCH NOTE)
In this paper we focus on the application of reinforcement learning to obstacle avoidance in dynamic Environments in wireless sensor networks. A distributed algorithm based on reinforcement learning is developed for sensor networks to guide mobile robot through the dynamic obstacles. The sensor network models the danger of the area under coverage as obstacles, and has the property of adoption o...
متن کاملDisTriB: Distributed Trust Management Model Based on Gossip Learning and Bayesian Networks in Collaborative Computing Systems
The interactions among peers in Peer-to-Peer systems as a distributed collaborative system are based on asynchronous and unreliable communications. Trust is an essential and facilitating component in these interactions specially in such uncertain environments. Various attacks are possible due to large-scale nature and openness of these systems that affects the trust. Peers has not enough inform...
متن کاملDisTriB: Distributed Trust Management Model Based on Gossip Learning and Bayesian Networks in Collaborative Computing Systems
The interactions among peers in Peer-to-Peer systems as a distributed collaborative system are based on asynchronous and unreliable communications. Trust is an essential and facilitating component in these interactions specially in such uncertain environments. Various attacks are possible due to large-scale nature and openness of these systems that affects the trust. Peers has not enough inform...
متن کاملDrug Discovery Acceleration Using Digital Microfluidic Biochip Architecture and Computer-aided-design Flow
A Digital Microfluidic Biochip (DMFB) offers a promising platform for medical diagnostics, DNA sequencing, Polymerase Chain Reaction (PCR), and drug discovery and development. Conventional Drug discovery procedures require timely and costly manned experiments with a high degree of human errors with no guarantee of success. On the other hand, DMFB can be a great solution for miniaturization, int...
متن کامل