PROMOTING AUTONOMOUS LEARNING IN READING CLASS
نویسندگان
چکیده
منابع مشابه
assessing metacognitive awareness and learning strategies as positive predictors in promoting l2 learners’ reading comprehension
the purpose of this thesis was to investigate how differently metacognitive, cognitive, and social/affective strategies affect l2 learners’ reading comprehension. to this end, the study employed a quasi-experimental design with a placement test as a proficiency test to find the homogeneity of groups. three classes were randomly selected as the experimental groups (n =90), and each class was tau...
Promoting Autonomous Learning in Statistics among Undergraduate Medical Students
For many educators, the idea of autonomous learning in statistics among undergraduate medical students may seem too much of a utopia to be worth pursuing. This unhappy scenario can place undue pressure on teachers of statistics to assume the rôle of instant service provider. Furthermore, tomorrow’s doctors need to make informed judgments among competing sources of evidence, including statistica...
متن کاملIranian EFL Learners’ Autonomous Behavior in Out-of-class Contexts: A Call for Understanding Learners’ Personalized Approaches to Learning
The salient, and often ignored, role that out-of-class learning plays in second/foreign language (L2) learners’ development is overshadowed by classroom research. The main aim of this study is to problematize the role of out-of-class learning in the specific English-as-Foreign-Language (EFL) context of Iran by examination of the ways in which four learners attempted to revamp their English lang...
متن کاملAutonomous Reading Machine
An unconventional approach to character recognition is developed. The resulting system is based solely on the statistical properties of the language, therefore it can read printed text with no previous training or a priori information about the structure of the characters. The known letter-pair frequencies of the language are used to identify the printed symbols in the following manner. First, ...
متن کاملARTD: Autonomous Recursive Task Decomposition for Many-Class Learning
Many-class learning is the problem of training a classifier to discriminate among a large number of target classes. Together with the problem of dealing with high-dimensional patterns (i.e. a high-dimensional input space), the many-class problem (i.e. a high-dimensional output space) is a major obstacle to be faced when scaling-up classifier systems and algorithms from small pilot applications ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: JEELS (Journal of English Education and Linguistics Studies)
سال: 2015
ISSN: 2503-2194,2407-2575
DOI: 10.30762/jeels.v2i2.99