Friday, April 3, 2020

How to Learn English - Step by Step

How to Learn English - Step by StepHaving studied how to learn English and been in the business of teaching for many years, I have made it a practice to spend a considerable amount of time on how to learn English. It is far more important than the amount of money you spend on a course, because there are no 'quick fixes' available. You have to take it slowly, build your confidence, and go at your own pace.The idea of how to learn English is quite different to other courses, because you don't want to skim through the material, hoping to grab on to a particular concept. You want to be confident with the material and for a period of time you will have to focus on one topic at a time. It is only when you are ready to tackle a different topic that you can move on to the next.The best way to start studying English, is to look at a reading material, and then work your way through that material. A good example would be the BBC series 'What's English For Christmas'.If you have had success with other material that you've learned for free, then you can use that material to guide you through the first part of how to learn English. Here's a tip that is particularly useful when you're first learning a new language:Once you've tackled the first few lessons of the course, it's a good idea to sit down with a dictionary to see what words are available to you. Often English is simply too much information for your memory to cope with. By visiting the dictionary you can get a quick idea of which words you'll be studying and which ones are simply an irritation.Don't be afraid to get stuck, if you find it difficult to understand what the teacher is talking about, remember you need to put your mind to it. There are usually more words to learn, so don't feel like you have to stop just because you can't understand what's being said.The great thing about taking an English course is that once you have picked up the basics, you are able to go back and study everything again, as time allows. These tips will help you go through the first few lessons of the course properly and begin to master the language in no time.

Monday, March 23, 2020

Circumference of a Circle - Math Online Tutoring

Circumference of a Circle - Math Online Tutoring Circumference of a circle is effective in determining the fencing details of the circle. It helps in determingcomplete details of the periphery of owners land. From this area of plot can be easily calculated. Area canbe calculated if circumference is known. From the circumference value first we need to calculate the radiusand then with radius we can calculate area. The unit of the circumference is generally m or cm. Circumference of circle = 2 x pie x r This can be understood by the detailed examples, which are given below:- Example 1:- Find the Circumference of circle when diameter is 420 cm. Solution:- Given the diameter of circle, d is 420 cm. We know that the radius of circle is (radius is always half of the diameter), r = 420/2 420/2 = 210 cm. Now circumference of circle = 2 x pie x r Therefore Circumference of circle, C = 2 x 22/7 x 210 So C = 1320 cm. Hence the circumference of circle = 1320 cm. Example 2:- Find the Circumference of circle when diameter is 700 cm. Solution:- Given the diameter of circle, d is 700 cm. So the radius of circle is, r = d/2 = 700/2 = 350 cm. Now circumference of circle = 2 x pie x r Therefore Circumference of circle, C = 2 x 22/7 x 350 So C = 2200 cm. Hence the circumference of circle = 2200 cm.

Friday, March 6, 2020

What are transferable skills - Introvert Whisperer

Introvert Whisperer / What are transferable skills - Introvert Whisperer What are transferable skills? Transferable skills are abilities and capacities that are significant and helpful across various everyday issues: socially, expertly, and at school. They are compact abilities. Individuals normally consider their transferable skills while applying for a job or when thinking about a career change. Employers frequently search for individuals who can show a good arrangement of transferable abilities. Fortunately you already have transferable skills; youve grown such skills and abilities throughout your life, at school and maybe at college, at home and in your social life, and also through any involvement in the work-place. It is usually essential that you can recognize and give instances of the transferable skills that you have developed. This will go far to influencing forthcoming businesses that you are appropriate for the job. Why are transferable skills important? Although somewhat gentler abilities than those specifically identified with a position, transferable skills are extraordinarily significant to managers. In addition to the fact that they show that youd be a solid match for the group, they can likewise exhibit what an applicant can convey to a job, and the amount theyve gained from past positions or encounters. So if you’re currently lacking background in the field youre searching for work in, transferable abilities can be a great way to highlight why youre ideal for the job. Examples of when this can be useful include entry-level positions, and those looking to change careers.   What are some examples of transferable skills? Although this is in no way, shape or form a complete rundown of transferable skills, here are some incredible instances of transferable skills you can use in your CV: Leadership This ability is to a great degree flexible, and while its normally connected to the manager positions, being a decent pioneer is fundamental in pretty much every employment â€" regardless of whether just in a few circumstances. To reference it in your CV, refer to times where you’ve demonstrated great leadership â€" whether it’s through motivating others in order to achieve a shared goal, leading a project, heading up training and development for a team, or even through your hobbies and interests. Time management Time management is a vital skill for any role, that not only proves you can work to deadlines â€" but also that you’re able to complete tasks in the most time-effective way, create to-do-lists, delegate, ask for help, and break up projects accordingly. Whether it’s that you’ve had experience stacking shelves within a set time in a retail store, you’ve completed projects within a deadline, or you’ve carried out construction work that met the time-sensitive needs of a client, you’ll have at least one example of time management to reference in your CV. Prioritization Prioritizing tasks successfully is essential if you need to complete anything, on time, and to an elevated standard. That is the reason its a key ability that most businesses appreciate. Demonstrate youre ready to evaluate your remaining burden, alter your timetable, and sort out errands arranged by significance by giving unmistakable precedents in your CV. For instance, it may be the case that your capacity to be fierce and say no to specific undertakings empowered you to finish others which had a larger amount of significance, or you executed efficient systems to complete little errands quicker. Delegation While delegation is primarily imperative for directors, bosses, or anybody in a senior position, that doesnt mean those without a foundation in the executives arent ready to show this aptitude. For instance, on the off chance that youve at any point coached or guided somebody (regardless of whether it was grinding away or t school), or prepared another associate in a specific framework, system, or errand, youll have the capacity to demonstrate you could be a decent delegator. Its about how you outline your abilities, the precedents you give, and how you connect back to the criteria indicated part of the expected set of responsibilities. Listening Lets be honest; everybody is likely to have great listening skills, regardless of where your experience lies. This means showing them in your CV ought to be simple. Consider times where your capacity to listen all around brought about a positive result regardless of whether its that youre extraordinary at adhering to guidelines (which implied your work was done explicitly to a customers necessities), youre ready to assimilate learning immediately when educated (whether it was in a gathering, at college, or anyplace else), or you conveyed fantastic client benefit by listening cautiously to a clients needs. Communication Although its especially critical in client confronting enterprises, great correspondence is a to a great degree adaptable expertise that is an essential piece of each job â€" which adds to the smooth running of any work environment. Fortunately, that implies everybody has it. Instances of relational abilities could extend from occurrences where you spoke with a client or customer to satisfy their necessities or resolve an issue, to times where you cooperated with your associates to accomplish a joint objective. Research and analysis Numerous jobs require some level of research and analysis capacity â€" making it a vital skill to make known to managers. The models you incorporate may contrast contingent upon the job and whats required (especially if the opportunity calls for harder abilities, e.g. learning of Google Analytics), yet a fundamental dimension of research and investigation skills can be appeared in anything from college expositions, to any type of social affair, sorting out, and assessing data â€" regardless of whether its business figures, site visits, or specialized reports. The skills above are just some of the transferable or soft skills that are useful and relevant throughout many different areas of our lives. Reflect upon on your own life and experiences to identify other personal skills you possess that are not included here. Author Bio:   Sara Albach is a full-time content writer and English major from Toronto, Canada. Sara currently resides in Amman, Jordan and uses her free time writing career-help articles. Go to top Do you know what your next career step is?  Many people don’t. I want to help you accelerate your career by connecting you with your Free Instant Access to my eBook on how to construct your Career SMART Goals â€" that will help you put together your actions and keep you accountable. Get your copy now and start your action plan today! Brought to you by Dorothy Tannahill-Moran â€" dedicated to unleashing your professional potential. Introvert Whisperer

Thursday, March 5, 2020

Job Skills in Data Science vs Data Analysis

Job Skills in Data Science vs Data Analysis Are Data Science and Data Analysis Different? ChaptersDefinition of a Data AnalystDefinition of a Data ScientistThe Difference Between a Data Scientist and a Data Analyst in One ChartWhy Knowing the Difference MattersThe answer is yes! Data is today’s buzzword, and for the most part, people wouldn’t have trouble defining data as the information we gather about the world which informs decision making. This process of analyzing and modelling this data occurs in two fields that are often used interchangeably: data science and data analysis.With the continual growth and need of both data scientists and data analysts, it is important to understand the fundamental differences behind the two professions. This can be quite tricky because both analyst jobs essentially try to solve the same problems with regards to using data to ameliorate the world. AisvaryaData Analysis Teacher 5.00 (4) £25/h1st lesson free!Discover all our tutors AdeyemiData Analysis Teacher 5.00 (4) £25/h1st lesson free!Discover all our tutors AdenikeData Anal ysis Teacher 5.00 (4) £25/h1st lesson free!Discover all our tutors ThanushanData Analysis Teacher 5.00 (4) £25/h1st lesson free!Discover all our tutors GokhanData Analysis Teacher 5.00 (4) £30/h1st lesson free!Discover all our tutors OlawaleData Analysis Teacher £12/h1st lesson free!Discover all our tutors AisvaranData Analysis Teacher 5.00 (4) £25/h1st lesson free!Discover all our tutors Muhammad umairData Analysis Teacher 5.00 (2) £100/h1st lesson free!Discover all our tutorsDefinition of a Data AnalystWhile the explosion of data analytics has seen increased specialization, to the point where the job market can seem reserved for only those with a degree in the field, it is important to understand that data analysis has been around longer than the 21st century. In fact, the root of data analysis holds skills common to fields like business, economics, accounting and even literature! This dynamic field involves expertise in the efficient collection of data, interpretation of a wide array of results, and providing key insight for employers.To start defining the role of the analyst, it is important to understand that the explosion of data analysis could not have been possible without the innovations made in computer software, such as Excel and Stata. While data analysis has been around for a long time, it’s introduction into our mainstream lexicon was with science and banking. While scientists used analytical methods to aid in hypothesis testing, banking systems and businesses used it in order to analyze their yearly, monthly and quarterly data. The vital role data analysis plays in our daily lives is indisputable.Being involved in data can often mean collaborationThe introduction of popular computer software into powerful sectors in government and financial markets in the late 20th century led to an explosion and innovation of statistics and data analytics. Analyzing data isn’t a skill that only scientists and businesses use today â€" on the contr ary, the implementation of statistics can be found in schools, grocery stores, individual households, etc. Consulting data to make strategic decisions based off of previous financial, census, enrollment, and purchase history can help organizations and individuals evaluate and improve their industries, processes, or design.Some examples of jobs in data analysis jobs are:Business intelligenceBusiness analystResearch analystAccountingDefinition of a Data ScientistThe history of data science can be found in its roots in the discipline of statistics and where it branches off from the discipline. Data science as we know it today would not have been possible without major advancements in technology. One of the first major examples of data science comes from the US, where IBM won a contract to collect, organize and digitize the information from the country’s social security users. The progression of computer systems has been vital for the progression and the subsequent specializations wit hin data science and can be defined as the product of both statistics and computer science. Consequently, beginner data scientist usually enrol for one online statistics course or the other to grasp important statistical concepts.The role of the data scientist can be defined as the collection, cleaning, modelling, and processing of big data. This data is usually a mass of unstructured information from a wide array of courses, such as business systems, banks, or governments. Innovations in big data normally come from designing new software or operational programs that automate functions â€" which can include anything from statistics software to the artificial intelligence in self-driving cars. The goal of the data scientist, however, can have many benefits not just to the individual studying within the field but often for the community which they are part of.Whereas the role of the data analyst is to interpret statistics with regards to a wide variety of industries â€" research, busi ness, communications â€" the data scientist covers fields pertaining to computer programming and engineering. Some of the most common jobs of the data scientist include:Business analystSystems analystDeveloperProgrammerSenior analystHaving analytical skills can help you in any situationThe Difference Between a Data Scientist and a Data Analyst in One ChartWhen looking for jobs in data science, the difference between both fields can lead to confusion and frustrating. It doesn't help that many companies don't know that there even is a difference between the two professions to begin with. This, coupled with the vast array of specializations that both data analysis and data science offer can be enough to deter people from either entering the job market or from choosing the right position.Knowing how the two differ in terms of qualifications is also important for students who might be interested in enrolling inr either a data analytics or data science course. Knowing what kind of jobs ar e available after graduation can be a deciding factor in what type of undergraduate and graduate program to choose.When looking at different specializations, take into account what kind of skills keep being repeated and look for those skills in the university programs you are deciding from. This can give you a clearer picture on whether a program is based more in mathematics, business, computer science, and more.The following chart describes the most common skills required of data scientists and data analysts both in school and in the job market. Taking a look at these skills can help you decide which track matches more with you interests.SkillData ScienceData AnalystExploratory data analysisXXData cleaningXXVisually representing dataXComputer programming (R, Python)XMachine learning and deep learningXHadoopXExcel, SPSSXSQLXXWhy Knowing the Difference MattersDepending on how you use statistics, it can be very important to understand the differences between data science and data anal ysis. While many organizations often confound the two fields, data science and data analysis often have different objectives, salaries and recruitment processes. If you are interested in understanding the differences between the two, it is possible that you are seeking to start learning or improving your skills in either data science or data analysis.University programs often have two separate programs for data science and data analysis, which will make it easier to identify which program is right for you. However, both fields offer a wide array of specializations, which is why it is vital to outline which parts of each discipline interest you. For example, mathematical statistics is less concerned with data modelling and more involved in the theoretical computation behind data modelling.Solve the world's leading problems by studying statistics and data scienceThis program will involve one data science course or the other that delve deeper into complex mathematical concepts such as linear algebra, calculus and probability. A data science program geared towards business, on the other hand, will include business or communications courses alongside computer science training.Defining the differences between data science and data analysis will help you outline which courses interest you the most and what mix of subjects is right for you. With regards to the job market, knowing the differences between the two fields becomes equally as important. In their job descriptions, analyst jobs will usually communicate which type of degree they are looking for in a candidate.A recruiter looking for a data analyst will most likely be looking to hire someone with a mathematics, statistics, or business degree with a focus on analytics. Data science, in contrast, would most likely require a data science or computer science degree with a focus on statistics. Around 88% of data scientists that get jobs earn a Master’s degree, whereas data analysts have an easier time getting hire d after attaining a Bachelor’s degree.When searching for jobs in analyzing data, you should look closely at the job description to understand what duties and roles will be available to you. Often, businesses with little experience in the realm of data will include in their hiring description a mix of general skills that are passable for an entry-level job, but unsuitable for a more seasoned analyst.As of now, the job market for both data scientists and data analysts is competitive but vast â€" so analysts in both fields will usually be able to choose between many different job offers. The important rule to stick to when preparing to search for or take a job in data science and data analysis is: differentiate and specify. The ideal job posting differentiates between the analytical skills they need from you in accordance to your interests, and on top of that gives specific examples of what roles you will take.Understanding these crucial differences between the two disciplines will h elp you in your daily life. Being able to interpret what components of a certain situation pertains to data science or data analytics will help you keep up with current innovations in both fields. Developments in data science often do not have the same socio-political ramifications as those in data analysis. Another importance is one mentioned in the beginning. To elaborate, it is important in terms of keeping up with current events. Developments in data science often do not have the same socio-political ramifications as those in data analysis.

Find an Online Tutor.How Online Tutors Spark Innovation In Students.

Find an Online Tutor.How Online Tutors Spark Innovation In Students. Just like different digitized aspects of our lives, education is not staying behind, find an online tutor for your needs. The classroom has now turned digitalized which has helped the teachers in a great way, but this process has become costly for the parents to admit their students in such high standard schools. Besides this, students are hooked more into tablets and smartphones to gain know-how regarding their studies. Thus, to lessen the tension, parents can take the opportunity of online tutors who are experts in various subjects. Online training is extremely significant for the understudies, and its only a tick away. The understudies need to sign onto the best online classes accessible in their locale. Online guides for different subjects are there at your administration day in and day out; so the understudies simply need to ping them online where theyre prepared to offer their best help up close and personal. Guides can share their aptitude with the understudies in a simple strategy that will help in comprehension and actualizing them further. Online coaches can unquestionably touch off creativity in them which will assist the understudies with scoring high. We should get the opportunity to find out about this more. The mission of Online Tutors to carve Creativity in their Students When a student tries to find an online tutor, they would not only try to grab knowledge but also boost their skills in unique thinking. The students gain the space they require for their growth. From being average students, they turn into creative thinkers. Let’s discover this concept that after hiring a brilliant online tutor, what the students execute differently! Under the guidance of best online English tutor, the students can effortlessly express their ideas related to the subjects they’re taking tuitions. After the online class gets wrapped, they have their own set of questions to ask the tutors. Different off-the-topic questions may come to their minds too which assists them in understanding the subject in-depth. They not only talk about facts, but are also enthusiastic to discuss fresh ideas! The students are thrilled to work on the open-ended projects. They even express freely their perceptive of the subject matter and also like the flexibility. They don’t feel the pressure in their studies. How to Boost the Growth in the Students of the above-mentioned Characteristics? Presentation of relevant materials Being an online guide, you may help the understudies to grasp writing, science, math, or some other subject, however, you should display them how theyre progressively important! For instance, you have to include a bonus, aside from based on what is as of now written in the coursebook. You can incorporate another point of view to enhance the ideas of history by indicating models. You can investigate mechanics, style, and the manners in which prior individuals were voyaging path back through perceptions. Understudies can, in this way, recall these visuals and remember their responses to unmistakable inquiries. They can even take a shot at their imaginative contemplations and offer an incredible response to the inquiries posed by their guide. Assigning open-ended projects. Tutors should avoid ‘task-to-be-completed under guidelines’ procedure. In fact, they should offer open-ended projects that allow them to select the type of assignment they are interested in and express their skills and knowledge that works great for the students. Ensure that the traditional paper writing should be for classroom only. Tutors need to make their students get accustomed to the open-ended projects as they work with them. This kind of training can only be acquired from the online tutor. They should also make them understand the academic writing in a better way. Have a reward system Tutors aren’t keen on their students running after higher grades. Rather they encourage them to be more ingenious, so creativity stands as a reward. Their projects won’t include grades and points. The online tutors can publish the student’s project online with a huge audience in the form of a reward. The tutors can even offer coupons to those students who perform excellently in the online courses. When a student is performing superbly in his/her studies, they can present them the choice to select their next assignment. Hence, take your time in finding an online tutor that can spark creativity in the student, which is the core responsibility of an expert tutor. Hope the above tips will be beneficial in making a wonderful start and boost the students to explore new learning and also recognize their actual potential.

Building Sentences in Russian

Building Sentences in Russian Fundamentals of Russian Grammar: Russian Sentence Structure ChaptersBasic Russian Sentence StructureModifying Nouns and Verbs in RussianHow to Place Emphasis in a Russian SentenceAsking Questions in RussianTaking Russian language course London  or trying to learn Russian on your own? Then you know that when you learn a new language, it involves more than simply thumbing through a Russian dictionary or memorizing the Russian numbers and days of the week. You need to learn Russian grammar rules in order to build understandable sentences.Of course, you can learn some Russian words and phrases from your textbooks or phrase book, but at some point you will want to go beyond saying hello, pleased to meet you, giving a rote compliment and asking “Do you speak English?” If you want to speak Russian halfway fluently, Russian vocabulary is not the only aspect you need to work on: you will also need to study pronunciation, reading the Cyrillic alphabet and, of course, sentence structure.So here is a small guide on how to properly structure Russian p hrases, so that the next time you travel to St. Petersburg, Moscow or elsewhere in the former USSR you will be understood. LavaRussian Teacher 5.00 (8) £25/h1st lesson free!Discover all our tutors LarisaRussian Teacher 5.00 (2) £30/h1st lesson free!Discover all our tutors InaRussian Teacher 4.88 (8) £30/h1st lesson free!Discover all our tutors IrynaRussian Teacher 5.00 (8) £12/h1st lesson free!Discover all our tutors EvgeniaRussian Teacher £30/h1st lesson free!Discover all our tutors AnastassiaRussian Teacher 5.00 (2) £30/h1st lesson free!Discover all our tutors NikolaRussian Teacher 5.00 (4) £20/h1st lesson free!Discover all our tutors MargaritaRussian Teacher 5.00 (3) £18/h1st lesson free!Discover all our tutorsBasic Russian Sentence StructureIn English, the basic sentence structure is:Subject + Verb + ObjectThis is true in Russian grammar as well. Whether you are taking   Russian lessons online or in a classroom, most phrases you learn will be set up this way:? ??? ? ???????? I have a cold.The subject is in the nominative case (the form of the noun you will find first in a dictionary) whereas the direct object is in the accusative.  You will need to conjugate Russian verbs in the proper tense, of course.Knowing grammar rules can help you translate full Russian sentences. Photo credit: quinn.anya on Visualhunt.comIntroducing indirect objectsIndirect objects (in English, they are introduced by “to” or “by”) usually come after the verb, but whereas in English they come:After the direct object if a preposition (”to”, “for”, “by”) is used (I gave a book to Sanya.)Before the direct object if none is used (I gave Sanya a book.)Russian words - in this case, the nouns - are declined. We have seen that subjects are in the nominative case and direct objects in the accusative case. This means that the indirect object can be placed either before or after the direct object without anyone becoming confused, as it will be in the dative cas e.You can say:?? ????? ?????? ?????????. He wrote a letter to his parents.Or:?? ????? ?????? ????????? He wrote his parents a letter.Here is a table with the dative declension for the most common noun endings in Russian:GenderEndingDative singularDative pluralMasculineconsonantadd -yadd -??Masculine-?replace -? with -?replace -? with -??Masculine-?replace -? with -?replace -? with -??Feminine-?replace -? with -?replace -? with -??Feminine-? (except for -??)replace -? with -?replace -? with -??Feminine-??replace -?? with -?replace -? with -?? (keep the ?)Feminine-?replace -? with -?replace -? with -??Neuter-?replace -? with -yreplace -? with -??Neuter-? (except for examples below)replace -? with -?replace -? with -??Neuter-??, -??, -??, -??replace -? with -yreplace -? with -??Pronouns in Russian word orderWhile generally, objects come after the verb, when an object is a pronoun they always come before the verb.? ??? ???? I know him.There are all sorts of Russian sentences - each with their own rules. Photo credit: strogoscope on VisualhuntModifying Nouns and Verbs in RussianAdjectives and other noun modifiersAdjectives come before the noun they modify:??????? ?????? A red flower??????? ??? A big houseGenitives and other noun modifiers usually only come after the noun.Adverbs and adverbial phrasesAdverbial phrases indicating time, place, mode etc. are generally at the end of the sentence.? ??? ? ????? I am going to school.Make learning Russian fun with Russian language games to practise sentence structure.How to Place Emphasis in a Russian SentenceNow that we have talked about the order of Russian words in a sentence, here’s something you need to know: the subject+verb+objects order is optional.Because Russian has cases, word order is not quite as important for determining the role of each noun in the sentence. This means that nouns can be moved around for emphasis.New information tends to come at the end of a sentence. For example, in English we might differe ntiate between:My sister is an architect. The important information is not the sister, but the fact that she’s an architect.My sister is the architect. The sister is the more important information here. There was talk of architects and the sister is named as one.When you speak Russian, you can do this by reversing the word order.??? ?????? ?????????? corresponds to “my sister is an architect.”?????????? ??? ?????? is the equivalent of “my sister is the architect.”This means that everything we said before is only one way of learning basic Russian sentence structure. It is the most usual way, and it’s good to remember these tips as they will help you focus on what you want to say without worrying about emphasis.Expressing yourself in Russian means understanding grammar rules. Photo credit: RSNY on Visual HuntHowever, as you progress from beginner to intermediate level or even advanced levels and learn to read Russian literature in the original rather than translations, you will notice that many authors such as Pushkin or Tolstoy will switch around words in a sentence. That’s why it’s so important to gain proficiency in the declensions of Russian nouns, so you always know what function a word has in a sentence.If you travel to Russia and your listening comprehension increases, you will also notice people doing it in common speech and as you gain fluency, you can try it out as well as you figure out what works and what doesn’t. This is something you can practise in Russian lessons with your teacher.Asking Questions in RussianThere are two types of questions:Questions that can be answered by either yes or noQuestions that need a more comprehensive answer and generally need question wordsAsking yes or no questions in RussianSimple questions in the Russian language course are just that: simple. You don’t need to change anything about the word order, simply add a question mark when writing or raise your voice at the end when speaking.?? ????? ????? ? He is writing a letter?? ????? ??????? Is he writing a letter?Asking questions in Russian is an important part of learning the language. Photo credit: hehheh78 on VisualHuntAsking questions using question wordsCommon question words in English are:Who?What?When?Where?Why?How?But there are many more, compound question tags that also have Russian counterparts, such as:Whose?How many?How much?What kind/ what sort?Also, Russian uses its own question words for “where to” (????) and where from (??????).Here are some of the most frequently used question words in Russian:EnglishRussianWho???What??????When?????Where???Why???How???How much/how many???????You can pair them with common Russian verbs to form useful questions.Though most aspects of Russian sentences are permutable, question words are always at the beginning of a sentence.??? ??? What is this???? ??? Who is it???? ??? Where is it?Now, some of these need to be declined to suit their grammatical role in the sentence. For exampl e, both ??? (what?) and ??? (who?) are declined:NominativeAccusative DativeGenitiveInstrumentalPrepositional?????????????????????????????????????????Also, whose? (???) needs to agree in number, case and gender to the object or the person it refers to.

How 1% improvement can turn an F into an A

How 1% improvement can turn an F into an A Improving Academic Performance Most students don’t realize how small, incremental improvements can accumulate over time to create significant jumps in skill level or academic performance. Let’s begin by exploring some theories about performance and success that have a lot to do with becoming comfortable struggling and striving to make small improvements. Later, we’ll show how a seemingly small improvement of just 1% a week can turn an F into an A. One of the most important things for students to realize is that intelligence is something you build over time. It's not something you are born with. Just like working out helps your muscles grow, reading, writing, studying, preparing for and being tested, etc., helps your intelligence grow. The theory that your intelligence is like a muscle that can grow over time is called the “growth mindset” and has been studied and espoused by Carol Dweck, a professor of Psychology at Stanford, for over a decade. It is related to the research done by Angela Duckworth at the University of Pennsylvania, which shows that “grit” and the ability to persevere are a better predictor of academic performance over time than a student’s initial IQ score. The opposite of the “growth” mindset is the “fixed” mindset, which is where you fundamentally believe that your intelligence is static. It’s driven by your IQ, which you believe can’t be improved, and in any given area of your life, you either have an inborn talent for something, or you don’t. Most people, of course, are more growth mindset-oriented about some things and more fixed mindset-oriented about others. The more you adopt a “growth mindset” the harder you’ll try to solve problems and keep going at a task until you figure it out, and this process builds intelligence. A character trait called “grit” is what leads to sustained effort in the face of multiple failures or obstacles. So, having a growth mindset and being “gritty” are highly related. I like to argue that there are three dimensions to the “growth in your intelligence” that occurs over time when you keep trying to learn something in a sustained, deep, and focused way. First, you become “smarter” simply because you remember more facts and concepts. But, second, you also build new learnable skills related to math, reading, and writing that go beyond just remembering facts. And finally, you become “smarter” as your brain builds new neural connections, and in some small but meaningful way, becomes more efficient and effective at solving problems. Now, let’s take a turn with this article and explore the concepts above in the context of an interesting “performance rule” I was recently exposed to when listening to a presentation by a business consultant named David Nour â€" the 1% rule. Imagine that you get just 1% better at something every week. In about a year, you will be almost twice as good at it. It didn’t seem quite right to me when I initially heard it, so I decided to create a scenario for this article and work out the math behind the 1% rule to test it. Imagine that you or your child is in a math class Calculus 1. On the first quiz of the year, he or she received an F, having earned only 55 of the 100 points on that exam. What would happen if you adopt a growth mindset, and commit yourself to studying hard and improving slowly over time. You set a goal of improving by just 1% every week. Grade scale At or above A 90 B 80 C 70 D 60 F 50 Week Test points % improvement Amount of improvement Grade 1 55.00 1.00% 0.55 F 2 55.55 1.00% 0.56 F 3 56.11 1.00% 0.56 F 4 56.67 1.00% 0.57 F 5 57.23 1.00% 0.57 F 6 57.81 1.00% 0.58 F 7 58.38 1.00% 0.58 F 8 58.97 1.00% 0.59 F 9 59.56 1.00% 0.60 F 10 60.15 1.00% 0.60 D 11 60.75 1.00% 0.61 D 12 61.36 1.00% 0.61 D 13 61.98 1.00% 0.62 D 14 62.60 1.00% 0.63 D 15 63.22 1.00% 0.63 D 16 63.85 1.00% 0.64 D 17 64.49 1.00% 0.64 D 18 65.14 1.00% 0.65 D 19 65.79 1.00% 0.66 D 20 66.45 1.00% 0.66 D 21 67.11 1.00% 0.67 D 22 67.78 1.00% 0.68 D 23 68.46 1.00% 0.68 D 24 69.14 1.00% 0.69 D 25 69.84 1.00% 0.70 D 26 70.53 1.00% 0.71 C 27 71.24 1.00% 0.71 C 28 71.95 1.00% 0.72 C 29 72.67 1.00% 0.73 C 30 73.40 1.00% 0.73 C 31 74.13 1.00% 0.74 C 32 74.87 1.00% 0.75 C 33 75.62 1.00% 0.76 C 34 76.38 1.00% 0.76 C 35 77.14 1.00% 0.77 C 36 77.91 1.00% 0.78 C 37 78.69 1.00% 0.79 C 38 79.48 1.00% 0.79 C 39 80.27 1.00% 0.80 B 40 81.08 1.00% 0.81 B 41 81.89 1.00% 0.82 B 42 82.71 1.00% 0.83 B 43 83.53 1.00% 0.84 B 44 84.37 1.00% 0.84 B 45 85.21 1.00% 0.85 B 46 86.06 1.00% 0.86 B 47 86.93 1.00% 0.87 B 48 87.79 1.00% 0.88 B 49 88.67 1.00% 0.89 B 50 89.56 1.00% 0.90 B 51 90.45 1.00% 0.90 A 52 91.36 1.00% 0.91 A It turns out that 1 %improvement per week is enough to go from getting 55 out of 100 points (an F) to 92 out of 100 points (an A) by the end of the year. Nour’s 1% rule was right. But let's say your class is semester-based, and you don’t have a whole year. Well, if you can improve by just 2% a week, you’ll get to an A by the end of the semester. Grade scale At or above A 90 B 80 C 70 D 60 F 50 Week Test points % improvement Amount of improvement Grade 1 55.00 2.00% 1.10 F 2 56.10 2.00% 1.12 F 3 57.22 2.00% 1.14 F 4 58.37 2.00% 1.17 F 5 59.53 2.00% 1.19 F 6 60.72 2.00% 1.21 D 7 61.94 2.00% 1.24 D 8 63.18 2.00% 1.26 D 9 64.44 2.00% 1.29 D 10 65.73 2.00% 1.31 D 11 67.04 2.00% 1.34 D 12 68.39 2.00% 1.37 D 13 69.75 2.00% 1.40 D 14 71.15 2.00% 1.42 C 15 72.57 2.00% 1.45 C 16 74.02 2.00% 1.48 C 17 75.50 2.00% 1.51 C 18 77.01 2.00% 1.54 C 19 78.55 2.00% 1.57 C 20 80.12 2.00% 1.60 B 21 81.73 2.00% 1.63 B 22 83.36 2.00% 1.67 B 23 85.03 2.00% 1.70 B 24 86.73 2.00% 1.73 B 25 88.46 2.00% 1.77 B 26 90.23 2.00% 1.80 A 27 92.04 2.00% 1.84 A Many people struggle with believing that getting an A in a math class, particularly a class as complex as calculus, is fully under their control, as the above tables would suggest. They just tend to have trouble getting out of the fixed mindset, which suggests that there are “math people” with a talent for math for whom math classes are just far easier to comprehend. But Angela Duckworth, who I referenced earlier, offers up a nice “performance formula” to address this concern, which I initially was exposed to in the Psychology Podcast by Scott Barry Kaufman. I wrote about it in an earlier blog article, but I’ll recreate it here because I just find it so powerful and important for students to digest, internalize, and believe. PERFORMANCE = SKILL X EFFORT. This means that how well you do is a function of how much skill you have AND how much effort you apply. I find this intuitively true. But now, let’s explore what skill is really all about. SKILL = TALENT x EFFORT. Skill is a function of two things. First, it has something to do with talent, which Duckworth describes as the factor that is driven by genetic makeup and natural ability. However, skills are also a function of how much effort you put into building skills. Practice builds skills, and practice requires effort. By doing a little algebra, we get to â€" Performance = [TALENT x EFFORT] x EFFORT, which reduces to â€" Performance = TALENT x EFFORT2 What this means is that effort is twice as important as talent when it comes to explaining success. So, if you want to earn that A in a complex math class, rest assured that your commitment to working hard is going to be more important than your “natural” math ability. I cannot underestimate the importance of believing deeply in the power of making small, incremental improvements. These improvements can and do accumulate over time. Before too long, you can become and expert at academic subjects you had previously considered extremely confusing and frustrating to understand.