BACKGROUND It is unclear which learners would most benefit from the more individualised, student-structured, interactive approaches characteristic of problem-based and computer-assisted learning. The validity of learning style measures is uncertain, and there is no unifying learning style construct identified to predict such learners. OBJECTIVE This study was conducted to validate learning st...

this study was an attempt to shed light on the relationship between perceptual learning styles and perceptual teaching styles of iranian efl learners and teachers. it further investigated the relationship between perceptual learning style and the age, gender, and proficiency of iranian efl learners. a total of 112 students and 23 teachers participated in this study. the data was collected using...

  The belief that output practice is crucial in L2 learning affects foreign language teaching methodology. And researchers have endeavored to find the best ways to encourage learners to produce and practice whatever they hear as an input in the process of learning. Moreover, learning styles and the importance of matching learners’ styles with those of teachers inspired the researchers to inves...

The large number of reasonably priced computers, Internet broadband connectivity and rich education content has created a global phenomenon by which information and communication technology (ICT) has used to remodel education. E-learning can be explained as the use of available information, computational and communication technologies to assist learning practice. In the modern world, education ...

background: because of educational responsibilities and direct contact with people, health personnel (known as behvarzes in iran) need to be properly educated. therefore, educating and empowering the instructors of health centers (or behvarzi centers) regarding teaching and learning processes, such as selection of educational objectives and using appropriate educational technology, can positive...

We present a neural network for real-time learning and mapping of patterns using an external performance indicator. In a non-stationary environment where new patterns are introduced over time, the learning process utilises a novel snap-drift algorithm that performs fast, convergent, minimalist learning (snap) when the overall network performance is poor and slower, more cautious learning (drift...