Introduction. Semiosis in Communication: Knowing and Learning
نویسندگان
چکیده
منابع مشابه
Introduction: A Sea Change in Thinking, Knowing, Learning, and Teaching
Forty years ago, Marshall McLuhan discussed how media at that time influenced both messages and users.1 Today, we see a broader spectrum of more powerful information technologies (IT) providing a much wider range of capabilities for communication, entertainment, personal expression, and education. Studying how undergraduates use electronic devices to these ends—and in turn how they are actively...
متن کاملCritical Realism and Semiosis I --introduction
This paper explores the mutual implication of critical realism and semiosis. Three key questions can be posed in this regard. 1 The first (discussed in Section II) concerns how far critical realism needs to include semiosis, provisionally defined as the intersubjective production of meaning, 2 in its more general approach to social relations, their reproduction and transformation. In exploring ...
متن کاملthe relationship of wtc with communication apprehension and self-perceived communication competene in english and persian context
بیشتر تحقیقات پیشین در زمینه تمایل به برقراری ارتباط به رابطه آن با عوامل فردی چون سن، جنس، نوع شخصیت و... صورت گرفته است. در صورتی که مطالعات کمتری به بررسی رابطه تمایل به برقراری ارتباط زبان آموزان فارسی زبان با ترس از برقراری ارتباط و توانش خود ادراکانه آنها در برقراری ارتباط در محیط فارسی و انگلیسی انجام شده است. بر اساس نظریه الیس (2008) تمایل به برقراری ارتباط جایگاه مهمی در زمینه آموزش م...
15 صفحه اول: metadiscourse in introduction sections of applied linguistics and physics research articles: exploring variation in frequency and type
abstract in written mode of language, metadiscourse markers are used commonly to help writers in general and academic writers in particular to produce coherent and professional texts. the purpose of the present study was to compare introduction sections of applied linguistics and physics articles regarding their use of interactive and interactional metadiscourse markers based on the model pro...
15 صفحه اولAn Introduction to Inference and Learning in Bayesian Networks
Bayesian networks (BNs) are modern tools for modeling phenomena in dynamic and static systems and are used in different subjects such as disease diagnosis, weather forecasting, decision making and clustering. A BN is a graphical-probabilistic model which represents causal relations among random variables and consists of a directed acyclic graph and a set of conditional probabilities. Structure...
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: Romanian Journal of Communication and Public Relations
سال: 2017
ISSN: 2344-5440,1454-8100
DOI: 10.21018/rjcpr.2016.3.211