Prototyping Web Metaphors 20090418

Virtual worlds like Second Life allow users to interact through avatars in a 3D online environment. Many organizations and educational institutions are using virtual worlds for meetings, simulations, classes, and other activities. However, some students found basic tasks difficult and that it was not as engaging as other games. Virtual worlds show potential for education but may not always be the best tool and require experienced users for full benefit.

The document provides instructions for a group project to design a website for a new local cinema. It lists various online tools and social media platforms for the group to research local cinema competition, design a homepage, create profiles and groups, and collaborate on the project. These include researching local cinema websites, using Facebook, Twitter and chat platforms to communicate, using tools like delicious, Zotero and Google Docs to share resources and work collaboratively.

01 存活者偏誤 The Survivorship Bias 為何你偶爾也該去「墓仔埔」逛一逛 02 泳將身材的錯覺 The Swimmer’s Body Illusion 哈佛究竟是一所好大學，還是一所爛大學？我們其實並不清楚 03 過度自信效應 The Overconfidence Effect 為何你總是系統性地高估了自己的學識與能力 04 社會認同 Social Proof 就算有百萬人主張某件蠢事是對的，這件蠢事也不會因此就變成對的 05 沉沒成本謬誤 The Sunk Cost Fallacy 為何你不該留戀過往 06 互惠 The Reciprocity 為何你不該讓人請喝東西 07 確認偏誤（一） The Confirmation Bias (Part 1) 當你見到了「特殊情況」這種字眼，請格外小心 08 確認偏誤（二） The Confirmation Bias (Part 2) 幹掉你的寶貝 09 權威偏誤 The Authority Bias 為何你該藐視權威 10 對比效應 The Contrast Effect 為何你最好別找模特兒等級的朋友一道出門 11 現成偏誤 The Availability Bias 為何你寧可聊勝於無地使用一張錯誤的地圖 12 「在好轉之前會先惡化」的陷阱 Die Es-wird-schlimmer-bevores-besser-kommt-Falle 要是有人建議你一條「先經一番寒徹骨」的路，你最好對這樣的建議多點戒心 13 故事偏誤 The Story Bias 為何就連真實的故事也都是騙局 14 後見之明偏誤 The Hindsight Bias 為何你該寫日記 15 司機的知識 The Chauffeur Knowledge 為何你對名嘴所說的話不要太過認真 16 控制的錯覺 Illusion of Control 你比你以為的還要來得狀況外 17 激勵過敏傾向 The Incentive Superresponse Tendency 為何你不該按實際開銷付錢給你的律師 18 均值迴歸 Regression Toward the Mean 醫師、顧問、教練以及心理治療師的效用令人質疑 19 公地悲劇 The Tragedy of the Commons 為什麼理性的人不去訴諸理性 20 結果偏誤 The Outcome Bias 請別用結果來論斷某個決定 21 選擇的弔詭 The Paradox of Choice 為何更多反而是更少 22 討喜偏誤 The Liking Bias 由於你想受人歡迎，於是你做出一些非理性的事 23 稟賦效應 The Endowment Effect 請不要緊抱著某件事物不放 24 奇蹟 The Wonder 「不可能」事件的必然性 25 團體迷思 Groupthink 為何共識可能是危險的 26 輕忽機率偏誤 The Neglect of Probability 為什麼樂透的彩金會愈來愈大 27 零風險偏誤 The Zero-Risk Bias 為何你會為了追求零風險，而付出過多資源 28 稀少性謬誤 The Scarcity Fallacy 為何餅乾愈少愈可口 29 忽視基本比率 The Base-Rate Neglect 當你在懷俄明州聽到了馬蹄聲，且看到了黑白條紋…… 30 賭徒謬誤 The Gambler’s Fallacy 為何沒有一種平衡命運的力量 31 錨定 The Anchor 數字輪盤如何把我們搞得暈頭轉向 32 歸納法 The Induction 你要如何把別人的一百萬弄到自己的口袋裡 33 損失規避 The Loss Aversion 為什麼凶惡的臉孔比友善的臉孔更容易吸引我們的目光 34 社會性懈怠 Social Loafing 為何團隊會讓人偷懶 35 指數增長 The Exponential Growth 為什麼一張對摺的紙會超乎我們的想像 36 贏者詛咒 The Winner’s Curse 你願意為一歐元出多少錢？ 37 基本歸因謬誤 The Fundamental Attribution Error 請你別去問作家，他所寫的小說是不是他的自傳 38 錯誤的因果關係 The False Causality 為何你不該相信送子鳥的傳說 39 月暈效應 The Halo Effect 為何長相好看的人容易事業有成 40 替代路徑 The Alternate Path 恭喜你！你贏了俄羅斯輪盤 41 預測的錯覺 The Forecast Illusion 水晶球如何搞得你目眩神迷 42 聯結謬誤 The Conjunction Fallacy 為什麼合情合理的故事會誤

This document discusses potential research into how students use Web 2.0 tools and how that relates to social learning theories. It outlines how social networking, user-created content, and information gathering are key aspects of Web 2.0 and students. The proposed research question is how students' use of Web 2.0 tools ties into existing knowledge about social learning theories. Interviews, focus groups, and analyzing tool usage are suggested methodologies, with anticipated risks being getting a range student perspectives and the changing nature of Web 2.0 tools.