Placeholder Image

字幕表 動画を再生する

  • Hello, everyone!

  • My name is Ping-cheng Yeh

  • You can also call me Benson

  • I'm a double E professor from National Taiwan University

  • also known as NTU

  • I'm also the director of NTU Mooc

  • Today, I'm very excited

  • because I want to introduce to you a very cool system

  • that we just finished building and launched last week

  • It's called PaGamo

  • PaGamo is the world's first ever multi-student social game platform

  • ever built for Mooc courses

  • So, as you can see here

  • you can see the PaGamo link at the left column here

  • Just click on it

  • and the system will bring us to the PaGamo platform

  • The purpose of this game is for each user to occupy

  • as many lands as possible

  • So, take my land for example

  • If I want to occupy this empty land

  • I just click on it

  • and then click on the "Occupy"

  • And, you will see that the system will then automatically send

  • a probability problem for me to solve

  • If I solve it correctly

  • then I get to occupy that land, OK

  • Let me quit here

  • In addition to occupy the empty land

  • there's another design that

  • each new player can occupy your neighboring player's land

  • Let's take this area for example

  • As you can see

  • the yellow player kept attacking on the orange player

  • and now the orange player only has two pieces of lands left

  • But don't worry about this orange player being frustrated

  • once he or she got exterminated

  • Because for all exterminated players

  • we'll let them reborn on some other areas

  • along with other players who have been exterminated before

  • So, they will play much more happily there

  • along with other people in much more peaceful areas, OK

  • In addition to the offense

  • we also have game designed for the defense part

  • Let's say if you don't want your neighboring players

  • to attack on your land

  • What you can do

  • You can do something, OK

  • As you can see, once you get a big territory

  • your land will start to generate a fortune

  • the money for you

  • OK. You can have lots of money here

  • OK. What you can do with that money

  • You can go to the store

  • and you can buy some monsters

  • we have 3 levels, 3 different levels of monsters here

  • Let's say if I buy this level 2 monster

  • Once I buy the monster, what can I do

  • I can deploy the monster

  • at the boundary of my territory, OK

  • Oh, so how does this help you in defense

  • Well, you see, if somebody wants to attack this land

  • the system will assign a problem for him to solve

  • from the land

  • In addition to that

  • the monster will also

  • you can see that we've already had one monster here

  • This monster will generate another problem

  • for your neighboring player to solve

  • So, your neighboring player has to finish solving two problems correctly

  • before he or she can occupy this land

  • and let's say if you deploy two monsters here. You can see here

  • Then, your neighboring player has to finish solving 3 problems

  • one from the land, and two from these level 3 monsters

  • and the level of the monsters represent the difficulty level of the problems

  • If you buy a much more expensive level 3 monster

  • the level 3 monster will generate a much harder problem for your neighboring player to solve

  • compared to a level one monster, OK

  • So, you can use your money to buy more monsters

  • to deploy on the boundary of your territory

  • to avoid your neighboring players to attack you, OK

  • This is another interesting feature of our game

  • And next, let me introduce to you the personal information area

  • If you click on here, you can see the personal information area

  • and here you get to see your information, your Coursera ID

  • your money and the number of your territory

  • and the number of problem sets that you successfully solved

  • and the most important thing is here, the ranking part

  • We'll have 2 different rankings

  • one is the ranking about the number of the questions solved by this user

  • And you can see that this is your current ranking

  • and these are the top 10 players of the game

  • So, finally I would like to introduce our arena feature

  • If you are a student who really likes to battle with other students

  • you can go to the arena

  • and you can compete with several students together

  • The system will assign multiple problems for you guys to solve

  • and the person who gets to solve these problems in the shortest time

  • you are the winner among all players in the arena

  • and you get an extra award for winning the battle

  • So, that is our PaGamo system

  • It's really a lot of fun on this system

  • and that's why our students get addicted to solving problems

  • As you can see, this PaGamo system is designed for general courses

  • So, any courses with enough numbers of problem sets and correct answers

  • you just input them to the system

  • and you get to transform your course into a game right away

  • So, it's very efficient and very easy

  • for you to make your course into a game

  • And here I would especially like to thank

  • there are twelve double E and Computer Science students from National Taiwan University

  • who closely worked with me to build this system

  • They're just like me

  • We have a very strong desire to change the way that people learn in the world

  • and that's why those 12 students and me

  • we spent so much time, so much effort into building this platform

  • and I really want to thank them

  • Chiang Sheng-wen, Shen Da-jun, Chen Yen-ling, Chen Yen-jun, Xu Zhi-han, Zhu Bo-chen, Zhang Yao-ren, Yu Lang-qi, Xia Zhi-yang

  • Tang Wei-xuan, Li Jia-lin, Lin Guan-yu, and my very good friend Tsai Yi-cheng

  • who helped me guiding those students

  • And we believe PaGamo is going to introduce a new paradigm for online learning

Hello, everyone!

字幕と単語

動画の操作 ここで「動画」の調整と「字幕」の表示を設定することができます

B1 中級

機率 - 葉丙成 (確率学 - Prof. Ping-Cheng Yeh (Benson)) (機率 - 葉丙成 (Probability - Prof. Ping-Cheng Yeh (Benson)))

  • 85 7
    Rumble に公開 2021 年 01 月 14 日
動画の中の単語