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E8 English Literature Students Level eight Forum |
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ÃÏæÇÊ ÇáãæÖæÚ |
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***ãÌáÓ ãÐÇßÑÉ ÇááÛÉ æ ÊÞäíÉ ÇáãÚáæãÇÊ***
ÇáÓáÇã Úáíßã æ ÑÍãÉ Çááå æ ÈÑßÇÊå
Åä ÔÇÁ Çááå åäÇ ãÇ íÊÚáÞ ÈãÇÏÉ ÇááÛÉ æ ÊÞäíÉ ÇáãÚáæãÇÊ ÃæáÇ ÇäØÈÇÚ ÈÚÖ ÇáããíÒíä ãä ÏÝÚÉ ßÇÑÒãÇ : ★ÇäØÈÇÚ ÝÇßÑ áãÇ Úä ÇáãÇÏÉ ÊÞäíÉ ÇáãÚáæãÇÊ :ßãäåÌ ÓíÁ æÚÈÇÑÉ Úä ØáÇÓã æÇÍÓåÇ ÇÑÇÁ ÔÎÕíÉ ÇßËÑ áßä ÇáÇÚÖÇÁ ÈÓØææÇ ÇáãÇÏÉ æÑÊÈæåÇ Çááå áÇíÍÑãåã ÇáÇÌÑ ÊÊßáã ÈÔßá ÇÓÇÓí Úä "ßíÝ äÓÊÎÏã ÇáÍÇÓÈ æÇáÊÞäíÉ Ýí ÊÚáã ÇááÛÉ " Òí ÈÑäÇãÌ ÇáÜÜ EF ÇáÇÎÊÈÇÑ æáÇ ÇÑæÚ æßÇä ÇÓåá ãä ÇÎÊÈÇÑ áÛÊí ÍÞ ÑÇÈÚ ÇÈÊÏÇÆí << Ú ÞæáÉ æÇÍÏ áÇä ÇáÏßÊæÑ ÊÚÇæä ãÚäÇ íÏÑí ãÇÏÊå ãÇáåÇ ÏÇÚí ØÈÚÇ ÑßÒ Ú ÇáÇÎØÇÁ ÇáÇãáÇÆíÉ ßËíÑ ★ ÇäØÈÇÚ Hend Alqahtani Úä ÇáãÇÏÉ ÇááÛÉ æÊÞäíÉ ÇáãÚáæãÇÊ ãÇÏÉ ÛÑíÈÉ ÚÌíÈÉ ÛíÑ ãÊÑÇÈØÉ ( ÈÓ ßÇä ÇáÇÎÊÈÇÑ Ìãããíá ) ★ ÇäØÈÇÚ ÔÈÇÕÉ ãÇÑßÉ ÊÞäíÉ ãÚáæãÇÊ ãÇÏÉ ÛËíËå ÌÏÇ ãÇÝíåÇ Çí Ýåã ÇÊæÞÚ ãÇÊÕáÍ ÏÑÇÓå Úä ÈÚÏ ÍÊì ÇáÊÑÌãå ãÇÝåãÊåÇ áßä ÇáÝÑíÏÇä ãÇÞÕÑ ÌÇÈ ãä ÇÓÃáÉ ÇáÇÚæÇã æßÇäÊ ÇÌÇÈÊå Óåáå æÇÖÍå ßÇä íÍØ ÈÇáÇÌÇÈÇÊ ØãÇØã æÈØÇØÇ æÓíÓÊÑ æÇáãÇÏÉ ÊÊÚáÞ ÈÇÌÒÇÁ ÇáßÊÈ æÇáÊÚáã æÇáßãÈíæÊÑ ßÇä íÎÊÈÑ ãÓÊæì ÇáØÇáÈ ÈÇáÇäÌáíÒí ★ ÅäØÈÇÚ Ʀσяєтα ÇááÛå æÊÞäíÉ ÇáãÚáæãÇÊ .. áæáÇ Çäå ßÑÑ æáÇ ßÇä ÑÍäÇ ÝíåÇ ¡ ÊÍÊÇÌ ãÊÇÈÚÉ ãÍÇÖÑÇÊ ÇáãÓÌáÉ æãÐÇßÑÉ ÞÈá ÈÔåÑ Úáì ÇÞá ÊÞÏíÑ ÊÌãÚ ÏÝÚÉ ßÇÑÒãÇ ÇáãÍÇÖÑÇÊ ÇáãÓÌáÉ ÇáÊãåíÏíÉ 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ÇáãÍÊæì Ýí ÇáãÑÝÞÇÊ æ äÕíÍÉ äåÑ ÇáÚØÇ ÈÇáÇåÊãÇã ÈãáÝ ÇäÐÑ ÏÇí áæ ÓãÍÊã áÇ ÍÏ íÑÏ ÞÈá ãÇ ÃäÊåí |
2017- 2- 24 | #2 |
ããíÒÉ ãÓÊæì 7+5 E
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ÑÏ: ***ãÌáÓ ãÐÇßÑÉ ÇááÛÉ æ ÊÞäíÉ ÇáãÚáæãÇÊ***
Homework
[first ] 1-b 2-a 3-c [second] ÇáÓÄÇá ÇáÇæá ÌæÇÈå the era of powerful Macs and PCs ÇáÌæÇÈ ÇáËÇäí Grammar and structures ÇáÌæÇÈ ÇáËÇáË SLA theories [third] 1- there are two stages in Chapelle’s (2001) evaluation, these are: judgmental and empirical 2- CALL software can be defined as : any potential software usable by language learners in connection with learning 3- evaluation can be defined as : • Deciding on the fitness of something to certain purpose 4- A corpus is : stored collection of language data áæ ÓãÍÊã áÇ ÍÏ íÑÏ |
2017- 2- 24 | #3 |
ããíÒÉ ãÓÊæì 7+5 E
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ÑÏ: ***ãÌáÓ ãÐÇßÑÉ ÇááÛÉ æ ÊÞäíÉ ÇáãÚáæãÇÊ***
ÃÓÆáÉ ÇáÃÚæÇã ÇáÓÇÈÞÉ Úáì Ôßá ßæíÒÇÊ ãä ÊÌãíÚ ÇÓã ãäÊÓÈ https://vb.ckfu.org/t774983.html ßæíÒÇÊ áÃÓÆáÉ iseeu https://vb.ckfu.org/t751190.html https://vb.ckfu.org/t751253.html ÊÌãÚ ÇáÏÝÚÉ ÇáÓÇÈÞÉ (ÏÝÚÉ ßÇÑÒãÇ) ÇáÝÕá ÇáÂæá áÚÇã 1438åÜ https://vb.ckfu.org/t763785.html ÇäØÈÇÚ ÇáÏÝÚÉ ÇáÓÇÈÞÉ https://vb.ckfu.org/t780621.html ááÃÓÝ ãÇ áÞíÊ ãäÇÞÔÇÊ ÇáãÇÏÉ Úáì ÇáäÊ ... Çááí íÚÑÝ Ãæ íáÇÞí ãäÇÞÔÇÊåÇ íÍØåÇ åäÇ ÚÔÇä íßÊãá ÇáãæÖæÚ ÇäÊåì ... æ ÇáÍãÏ ááå ÇáÐí ÈäÚãÊå ÊÊã ÇáÕÇáÍÇÊ æ ÇáÓãæÍÉ áæ Ýíå äÞÕ æ Úáì ÇáÊÃÎíÑ ãæÝÞíä ÌãíÚÇ |
2017- 2- 24 | #4 |
ÃßÜÇÏíÜãÜí ÝÜÚøÜÇá
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ÑÏ: ***ãÌáÓ ãÐÇßÑÉ ÇááÛÉ æ ÊÞäíÉ ÇáãÚáæãÇÊ***
ÇáÓáÇã Úáíßã æÑÍãÉ Çááå æÈÑßÇÊå
ãäÇÞÔÇÊ åÐí ÇáãÇÏÉ æÌãíÚ ãæÇÏ ÇáãÓÊæì ÇáËÇãä ãæÌæÏå ÝÞØ Ýí ãæÖæÚ ááÇÎÊ ÇÓíÑÉ ÇáãÔÇÚÑ ÌÒÇåÇ Çááå ÎíÑÇ åäÇ : åäÇ Íáæá ÇáãäÇÞÔÇÊ ãäÇÞÔÇÊ ÇááÛå æÊÞäíÉ ÇáãÚáæãÇÊ 1 Computer Assisted/Aided Language Learning 2 Call monitoring (or call evaluation), is insight into how your business performs when it comes to phone lead conversions. With call monitoring, you’ll be able to earn more business and grow your revenue If you don’t know how your phone leads are converting into sales or why solid leads are hanging up without becoming customers, you’ll be stuck in the status quo forever. You won’t have insight into how well your company is meeting—and exceeding—customer expectations, and you won’t know what changes you need to make in order to make customers comfortable with purchasing from you Third party call monitoring gives you an unbiased view into every call. You will see if a phone lead converted to a sale, or if it was a solid lead that was blown, without any bias toward employees or customers. Most importantly 3 Before beginning the evaluation itself, it is necessary to give a brief description of the software, which is based on Betty Azar's book (2009). Due to space restriction, I will only provide an analysis of just one chapter of the book with intercepted description of the methods used in implementing the software in classroom. The analysed chapter is divided into four parts, each focusing on the following tenses: the present perfect, the present perfect progressive, the past perfect, and the past perfect progressive. Each section includes several quizzes, exercises and one crossword game, and these are followed by three main tasks covering listening, speaking and reading comprehension (named by myself). To finish, there is a test that enables students to assess their achievements Within the program there are five main buttons located at the top of every page. These are made up of ‘outline’ (which outlines the whole chapter in detail), ‘report’ (enabling students to check their progress after each step), ‘glossary’, ‘help’ (where learners find help topics), and ‘contents 4 (it is a judgment who i take by me (my self 5 Empirical means derived from observations. Something you measure/observe in a real experiment. Not theoretical evaluation. It might be a bit tricky with simulated datasets though. Some consider simulations as empirical evaluations, but some do not also it means evaluating the theoretical achievements with experimental results Or when you do some experiments and evaluate the results 6 During the speaking task the focus is entirely on the contract forms . in the listening and reading tasks learners are tested on their comprehension of both the dialogue and text respectively with a moderate focus on the forms .Chappelle . suggest some conditions which might characterize a task that draws learners attention to the form . I will focus on two them namely modified interaction and modified input 7 7 Chapelle (1998) suggests this to be a key element in developing a CALL task. The reading exercise provides a prime example of this theory, as meaning is expected to be broken down when students are shown the hyperlinked words. These students were expected to obtain help by clicking on each word to get its meaning 8 A corpus is a collection of language material, made in some principled way (not haphazardly), either on tape or written in hard copy (e.g. books, student essays) or in electronic form. We are concerned only with the last type. Such collections are used in many different ways by different people. We are concerned mainly with use 1) by linguists to help describe language, and test theories 2) by teachers and learners to aid language learning (i.e. a form of CALL). To perform any electronic corpus-based task directly you need two things - a corpus and a search engine. A corpus itself is just text (a form of data), which may have been originally written, or be transcribed speech. Corpora are not all stored in the same format (though often they are in the plainest of DOS or ASCII text), and they may have coded information (tags) added in and out of the text, to show e.g. who was speaking, the register of the text, or the part of speech of each word 9 For me i found any application about speaking and hearing conversation is very helpful because you can hear and learns a new words in a different aspect also learn how to say it with the correct pronunciation ,such as an app calls English conversation courses 10 It is necessary to gain access to a corpus and a concordancing program. a corpus consists of a databank of natural texts, compiled from writing and/or a transcription of recorded speech 11 The British National Corpus (BNC) is a 100 million word collection of samples of written and spoken language from a wide range of sources, designed to represent a wide cross-section of British English from the later part of the 20th century, both spoken and written. The latest edition is the BNC XML Edition, released in 2007 The written part of the BNC (90%) includes, for example, extracts from regional and national newspapers, specialist periodicals and journals for all ages and interests, academic books and popular fiction, published and unpublished letters and memoranda, school and university essays, among many other kinds of text The spoken part (10%) consists of orthographic transcriptions of unscripted informal conversations (recorded by volunteers selected from different age, region and social classes in a demographically balanced way) and spoken language collected in different contexts, ranging from formal business or government meetings to radio shows and phone-ins 12 Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. Some of the activities computers with artificial intelligence are designed for include: Speech recognition Learning Planning Problem solving 13 Computational linguistics is an interdisciplinary field concerned with the statistical or rule-based modeling of natural language from a computational perspective. Traditionally, computational linguistics was usually performed by computer scientists who had specialized in the application of computers to the processing of a natural language. Computational linguists often work as members of interdisciplinary teams, including linguists (specifically trained in linguistics), language experts (persons with some level of ability in the languages relevant to a given project), and computer scientists. In general, computational linguistics draws upon the involvement of linguists, computer scientists, experts in artificial intelligence, mathematicians, logicians, philosophers, cognitive scientists, cognitive psychologists,psycholinguists, anthropologists and neuroscientists, among others 14 ÃßÊÈæÇ ÇíÌÇÈíÇÊ æÓáÈíÇÊ ÇáãÞÑÑ |
2017- 2- 24 | #5 |
ÃßÜÇÏíÜãÜí ãÜÔÜÇÑß
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ÑÏ: ***ãÌáÓ ãÐÇßÑÉ ÇááÛÉ æ ÊÞäíÉ ÇáãÚáæãÇÊ***
ÈÇÑß Çááå Ýíß æ ÈÌåæÏß íÇ Çã ÑÛÏ
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2017- 2- 24 | #6 |
ãõãíÒí ÇáãÓÊæì ÇáÓÇÈÚ E
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ÑÏ: ***ãÌáÓ ãÐÇßÑÉ ÇááÛÉ æ ÊÞäíÉ ÇáãÚáæãÇÊ***
íÚØíß ÇáÚÇÝíå Çã ÑÛÏ
Çááå íßÊÈ ÇÌÑß |
2017- 2- 26 | #7 |
ÃßÜÇÏíÜãÜí ÝÜÚøÜÇá
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ÑÏ: ***ãÌáÓ ãÐÇßÑÉ ÇááÛÉ æ ÊÞäíÉ ÇáãÚáæãÇÊ***
ÌÒÇß Çááå ÎíÑ Çã ÑÛÏ ßÝíÊí ææÝíÊí ãÇÞÕÑÊí Çááå íÓÚÏß æíæÝÞß
æÇÔæÇÞ ÈÚÏ ÌÒÇåÇ Çááå ÎíÑ ãÇÞÕÑÊ |
2017- 2- 26 | #8 |
ÃßÜÇÏíÜãÜí ÝÜÚøÜÇá
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ÑÏ: ***ãÌáÓ ãÐÇßÑÉ ÇááÛÉ æ ÊÞäíÉ ÇáãÚáæãÇÊ***
æÚáíßã ÇáÓáÇã æÑÍãÉ Çááå æÈÑßÇÊå
ÚÇÏ Çááå íßæä ÈÚæääÇ Ú ÇáãäåÌ ÇáÈííííÖ ÊÓáãíä Çã ÑÛÏ ãæÝÞå íÇÚÓá |
2017- 2- 28 | #9 |
ÃßÜÇÏíÜãÜí
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ÑÏ: ***ãÌáÓ ãÐÇßÑÉ ÇááÛÉ æ ÊÞäíÉ ÇáãÚáæãÇÊ***
ÈÇÑß Çááå Ýíß
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2017- 3- 1 | #10 |
ÃßÜÇÏíÜãÜí ÐåÜÈÜí
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ÑÏ: ***ãÌáÓ ãÐÇßÑÉ ÇááÛÉ æ ÊÞäíÉ ÇáãÚáæãÇÊ***
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