This document discusses the different types of reported sentences: statements, questions, and commands. For statements, it provides examples of how the reported version changes the tense or words like yesterday to the day before. For questions, it explains that yes/no questions and wh- questions are reported using "ask" followed by if for yes/no or the wh- word for wh- questions. Commands are reported using "ask" or "tell" followed by an infinitive clause. It also lists common reporting verbs used to report what someone said or did, like apologize, claim, advise, etc. and whether they take an infinitive clause or -ing form.
5 english grammar_in_use_-_grammar_reference By Engr Inayatullah BalochEngr Inayat ullah
5 english grammar_in_use_-_grammar_reference By Engr Inayatullah Baloch from kashomre sindh pakistani studing in BS computer Engineering from BUITEMS
Quality & Excellence in Education
Balochistan University of Information Technology,
Engineering and Management Sciences Quetta balochistan
THIS IS FOR THOSE STUDENT WHO CAN SLOWER IN STUDY OR WHO CAN KNOW ABOUT THE DIRECT AND INDIRECT SPEECH . HERE IS ALL ABOUT THE SPEECH YOU CAN EASYLI READ & LEARN .
5 english grammar_in_use_-_grammar_reference By Engr Inayatullah BalochEngr Inayat ullah
5 english grammar_in_use_-_grammar_reference By Engr Inayatullah Baloch from kashomre sindh pakistani studing in BS computer Engineering from BUITEMS
Quality & Excellence in Education
Balochistan University of Information Technology,
Engineering and Management Sciences Quetta balochistan
THIS IS FOR THOSE STUDENT WHO CAN SLOWER IN STUDY OR WHO CAN KNOW ABOUT THE DIRECT AND INDIRECT SPEECH . HERE IS ALL ABOUT THE SPEECH YOU CAN EASYLI READ & LEARN .
Aki`101121.pptxIdentifies claims explicitly or implicitly made in a written t...jeannmontejo1
Identifies claims explicitly or implicitly made in a written textIdentifies claims explicitly or implicitly made in a written textIdentifies claims explicitly or implicitly made in a written text
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Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
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Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
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http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Biological screening of herbal drugs: Introduction and Need for
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Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
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Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
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Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
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Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
6. 1. Statements
I’m hungry.
He said he was hungry
I’m leaving tomorrow
He told me he was leaving the next day.
I was at a party yestarday
He said he had been at a party the day before.
7. 2. Questions
• Yes/no questions
Do you like chocolate?
He asked me if I liked chocolate.
Did he pass the exam?
He asked me if he had passed the exam.
• Wh- questions
Where have you been?
He asked me where I had been.
Why are you here?
He aske dme why I was there.
8. 3. Commands
Open the door!
He asked me to open the door.
Don’t speak Spanish!
He told me not to speak Spanish
11. The eight most common lies
She asked him if he could
afford it and he said….
12.
13.
14.
15. Reporting verbs
(not) to +
infinitive
person + (not) to
infinitive
-ing
agree
offer
refuse
promise
threaten
claim
decide
advice
ask
convince
encourage
invite
persuade
remind
tell
warn
urge
apologize for
accuse sb of
admit
blame sb for
deny
insist on
recommend
regret
suggest
(not)
to do
sthg
sb
(not)
to do
sth
doing
sthg
16.
17. apologized for breaking the vase.
offered to pay for the drinks.
advised her to find/suggested finding a new job.
reminded him not to forget to take the dog…
denied shooting him.
asked her to open the window.
suggested getting a taxi.
admitted stealing the money
