he Solar System formed 4.6 billion years ago from the gravitational collapse of a giant interstellar molecular cloud. The vast majority of the system's mass is in the Sun, with the majority of the remaining mass contained in Jupiter. The four smaller inner planets, Mercury, Venus, Earth and Mars, are terrestrial planets, being primarily composed of rock and metal. The four outer planets are giant planets, being substantially more massive than the terrestrials. The two largest, Jupiter and Saturn, are gas giants, being composed mainly of hydrogen and helium; the two outermost planets, Uranus and Neptune, are ice giants, being composed mostly of substances with relatively high melting points compared with hydrogen and helium, called volatiles, such as water, ammonia and methane. All eight planets have almost circular orbits that lie within a nearly flat disc called the ecliptic

فيديو يتحدث عن المجموعه الشمسيه والكواكب التسعه ومميزاتها باللغه الانجليزيه

Here you can practice English language for prepositions. You read the preposition and then fire the ball to the location that matches.
Prepositions is an important and quite basic part of English. It’s useful for making basic sentences and talking in general.
This game was meant to be a good way to practice the language for prepositions and to help learners of English as a second language to improve their English ability.
If you don’t know all the language used then you can look at the review page and study the prepositions from there.
I hope you learn and review some new language with this game in a fun way.
Feel free to leave any comments below.

This will only work on Google's Chrome browser. This is because it uses Google's voice recognition service to recognise the words being spoken. In the future, it may be possible for Firefox and Safari to also work with this game, but for now, it is just Google.

You have to give your browser permission to accept your microphone. Then on the first screen you can see a box that will display anything you say. Once you say something that is successfully recognised, the start button will appear. If you click on start, you can try speaking some content.

The aim of this game is let the player learn and practice saying vocabulary items; images are shown and then the word must be spoken. If you do not know the word, you can click on the audio button to hear it and then say it afterwards with items repeated numerous times. It is hoped that by doing this, the player can slowly become able to say all the words correctly. The learning mechanism here is quite clear, you review the words you already know and then gradually learn and practice the ones you do not know. You learn the ones you do not know by listening and repeating what you hear from clicking on the audio button. This is quite similar to the process of using flash cards in a real classroom. With flash cards, the usage is typically to use them to communicate meaning and elicit the spoken forms, with monitoring, assistance and feedback provided by the teacher. The game is pretty much trying to emulate this process in an on line format.

The way the vocabulary items are presented is a little bit more complex than just a straightforward sequence. If an item is initially known, then it is sent to the back of the queue after being spoken. But if a word is unknown - and has to be heard - then it only cycled back to a position near the front of the queue. Also, if someone is really good and knows a lot or most of the items, then the game will start to take items out of the queue completely when they are spoken. Conversely, if an item is too difficult to say or recall, then the user can just click on the cross to dismiss the item and remove it from the queue.

Just to be clear, the aim of this game is not to practice pronunciation. No grading of pronunciation is measured or evaluated. Rather it just a case of whether the user can remember the word and then say it well enough for the server to recognise it. The way that the speech recognition works is that it returns the word that it most closely matches what it thinks the person is saying.

Please leave a comment to tell me what you think and how this is working.

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