Search results for "Principles of learning"
showing 4 items of 4 documents
A Hybrid Model for an E-learning System Which Develops Metacognitive Skills at Students
2013
One of the goals of academic education is to train students in view of acquiring metacognitive skills, thus becoming self-regulated learners prepared for for lifelong learning. The research in this area has proved that metacognition can be taught and learned and that self-regulation behavior can be guided and constrained by the features of the learning environment. In order to become an educational environment, attractive and at the same time efficient for the students and which would enable students to develop their metacognitive skills, the e-learning system needs continuous improvments. This paper presents a hybrid model of an e-learning system, MEM - Metacognitive E-learning system Mode…
Effects of Scientific Information Format on the Comprehension Self-Monitoring Processes: Question Generation // Efectos del formato en que se present…
2013
Generating questions is a regulatory action associated with self-monitoring processes in comprehension tasks: subjects can ask information seeking questions to solve comprehension obstacles. A sequence of two related experiments were conducted to trigger, classify and analyse questions asked under different conditions: reading a text about experimental scientific devices operating, watching these devices in a DVD and manipulating them in the LAB. Students’ information seeking questions were classified using a simple taxonomy. Taking into account the multimedia learning principles, the advantages of realistic animations for understanding time-depending processes and the effect of the procedu…
Generalized Bayesian Pursuit: A Novel Scheme for Multi-Armed Bernoulli Bandit Problems
2011
In the last decades, a myriad of approaches to the multi-armed bandit problem have appeared in several different fields. The current top performing algorithms from the field of Learning Automata reside in the Pursuit family, while UCB-Tuned and the e-greedy class of algorithms can be seen as state-of-the-art regret minimizing algorithms. Recently, however, the Bayesian Learning Automaton (BLA) outperformed all of these, and other schemes, in a wide range of experiments. Although seemingly incompatible, in this paper we integrate the foundational learning principles motivating the design of the BLA, with the principles of the so-called Generalized Pursuit algorithm (GPST), leading to the Gen…
Design of a safety training package for migrant workers in the construction industry
2021
Abstract The construction sector is known as a high-risk sector with many safety challenges. It is also characterised by a large number of migrant workers and these workers report higher accident rates than native workers. This paper presents the design of the CSTP (Construction Safety Training Programme). The CSTP is a theory-based training program aimed at improving safety behaviours in construction sites acknowledging the particular challenges migrant workers face. Based on second and third generational models of training, we developed a training program that addresses the challenges faced by migrant workers in the construction industry, namely language and cultural barriers, times press…