Artificial Intelligence · Grade guarantee on the A+ plan

Personal AI Artificial Intelligence Tutor Online That Teaches the Method

A tutor for the artificial intelligence subject rather than a general study assistant. Search trees expanded node by node, inference written as proof, probability calculated in full, because that is how the coursework and the exam ask for it.

+0.6 GPA 一個學期內,A+ 方案保障達成
僅限 A+ 方案 解法分是試卷中真正可以透過練習提升的部分。 閱讀完整條款
分數為何流失
先給提示,再看解答照片 · PDF · 投影片 · 錄音附有解題過程的圖解針對弱項的測驗
把卡住的題目帶來
你的 AI導師已準備好
接下來會發生什麼
1提示不是直接給答案
2演練你需要時
3檢查站它會反問你
4測驗幾天後
你隨時可以要求完整解答,但它不會一開始就只給答案。
快速解答

What does an artificial intelligence tutor cover?

An artificial intelligence tutor covers the material of a university AI course rather than general study help. AskSia works through uninformed and informed search, constraint satisfaction, adversarial search, knowledge representation and logical inference, probabilistic reasoning with Bayesian networks, the foundations of machine learning, and the ethics component most courses now include. Algorithms are traced by hand node by node, since exams ask for the trace rather than for working code, and each walkthrough ends with a question back to the student. It answers in eight languages. Students on the AskSia A+ plan are covered by the Grade Confidence Guarantee. AskSia is a study aid, not an answer key.

輔導如何進行

如同真人導師的四個階段

解答出現時,解題工具就完成任務;當你能獨自解下一題,輔導才算完成。

1
提示

給推進方向,而不是直接給解答

它指出卡住的步驟,再把問題交回給你走出下一步。

2
演練

逐行說明,搭配圖解

需要更多協助時,它會逐行帶你走過解法,而不只告訴你最終結果。

3
檢查站

它會反過來問你一題

在繼續之前,它會用一個簡短問題確認下一步是否真正屬於你。

4
測驗

稍後再回來複習

弱項會在更適合主動回憶、鞏固解題方法的時機再次出現。

你現在就需要答案

晚上 11 點,作業就要截止

若截止時間最優先,請使用解題工具查看完整的分步解答。

使用解題工具
你需要學會自己解

考試還有三週

導師會刻意放慢節奏,為下一題留下可重複使用的解題方法。

成績信心保證 · AI Artificial Intelligence Tutor僅限 A+ 方案 · 基於成績單 · 條款已公開 · v2026.05
僅限 A+ 方案
因為我們教的是方法,所以可以承諾成績 ✦
大學 · GPA 僅限 A+ 方案
+0.6 GPA
此保證會依學習紀錄審核,僅限 A+ 方案。註冊前請詳閱完整適用條件。
AI Artificial Intelligence Tutor · 分數在哪裡
Algorithms understood but never tracedM1
Heuristic admissibility assumedM1
Probability answered by intuitionM1
找出第一個錯誤步驟M1
解題過程會清楚顯示在答案旁A1
在 A+ 方案中:依此學習路徑持續一個學期,未達目標即可申請退款單靠答案無法保證結果。我們能保證的是解題方法,因為它才是評分依據。免費方案和其他付費方案也包含導師服務,但不包含退款。 閱讀完整條款
合約保障 ✦
每個學期
分數為何流失

每學期最容易失分的三個習慣

AI coursework is failed by students who can use the libraries.

01

Algorithms understood but never traced

The exam asks for the order nodes were expanded. Understanding the idea of A star does not produce that order, and tracing it three times does.

02

Heuristic admissibility assumed

A heuristic that seems reasonable can overestimate, which breaks the optimality guarantee. Proving it never overestimates is the marked step.

03

Probability answered by intuition

Conditional independence in a Bayesian network is read off the structure, not guessed. Intuition about correlation is the fastest route to a wrong query.

練習與追蹤

不是題庫,而是從你的錯誤建立的測驗

Your points are not lost evenly, so your practice is not spread evenly. Try this one.

從你的弱項開始INFORMED SEARCH
What must be true of a heuristic for A star to be guaranteed to find an optimal path?
這個答案的原因。 Why B. Admissibility means the heuristic never overestimates, which is what preserves the optimality guarantee. Being exact would be ideal and is usually unavailable, speed matters in practice but not for the guarantee, and straight line distance is one example of an admissible heuristic rather than a requirement.
長答題會按每一步的推理過程評分,而不只看最終數值。
涵蓋範圍

這位導師涵蓋的內容

The units an artificial intelligence course is built from, with the part that is examined named alongside.

SRCH
Uninformed search
Breadth first, depth first, uniform cost and the frontier
SRCH
Informed search
Heuristics, admissibility and consistency in A star
SRCH
Local search
Hill climbing, simulated annealing and local optima
GAME
Adversarial search
Minimax and alpha beta pruning by hand
CSP
Constraint satisfaction
Arc consistency, backtracking and ordering
LOG
Propositional logic
Resolution and satisfiability
LOG
First order logic
Unification and inference over quantified statements
PROB
Probabilistic reasoning
Bayes rule and conditional independence
PROB
Bayesian networks
Reading the structure and computing a query
LEARN
Machine learning foundations
Bias, variance and evaluation
LEARN
Neural network basics
Forward pass and gradients by hand
ETH
Ethics and safety
Bias, transparency and accountability in a named system

If the course is specifically machine learning or data science, those pages go deeper into models and training. The programming pages cover the implementation assignments.

輸入問題拍下你的解題過程上傳課程資料帶來錄音內容線上測驗截圖來自 LMS 的作業
這是輔導,不只是聊天視窗

Four things a tutor does that a chat box does not

它了解你的學習歷程,不只是一個問題

下一次輔導會從你真正感到困難的步驟開始,而不是泛泛地重講整個主題。

它會畫出圖解,不只列出代數式

圖解會帶著標記與解題過程的每一步並列呈現,因為視覺化推理本身也能得到分數。

它會找出你自己解題過程中的第一行錯誤

拍下做錯的嘗試,它會找到解法最早偏離的步驟,接著講清這一步。

它依照你的課程方式檢驗理解

長答題需要依照你自己試卷的格式練習,而不是套用選擇題題庫。

為什麼這樣有效

Why the subject is examined by hand

An artificial intelligence course is assessed on whether you can carry out the algorithm, not on whether you can call it. Search trees, pruning, unification and network queries are all marked as traces, so every walkthrough here is worked step by step in the form the exam asks for, and the check question asks for the next node rather than the final answer.

Personal here means it remembers which algorithm class keeps failing. If your search work is reliable and every probability query treats dependent variables as independent, that is what gets practised, and the correction attaches to reading the network rather than to the topic.

It tutors in English, German, Japanese, Korean, Spanish, Portuguese, Simplified Chinese and Traditional Chinese.

常見問題

學生真正會問的問題

Is this a tutor for the AI subject or an AI powered tutor?

This page is the subject. If you want an AI powered tutor for a different subject, every course in the series has its own page and the hub lists them.

Does it trace algorithms step by step?

Yes, node by node, since coursework and exams ask for the trace rather than for working code.

Does it cover the ethics component?

Yes, answered against a specific system and a specific harm rather than as general principles, which is how those questions are marked.

Can it check my implementation?

Yes, and it will separate a conceptual error from a coding error, which is the distinction that decides where to look.

Does it cover neural networks?

The foundations, including a forward pass and gradient computation by hand, which is what most introductory courses examine.

Is using an AI tutor allowed?

AskSia is built as a study aid, not an answer key. Check your own faculty's policy before using any tool on graded work.

所有學科

全部 149 位 AskSia 導師

每個學科都採用同一種方式:針對你卡住的步驟給出提示,結合你自己的課程資料講解,最後再向你拋回一個問題。

健康相關課程

7

結合每個選項的理據,協助課程與執照準備。

學會解題方法。 把分數留下來。

把卡住的題目帶來。你的導師會先提示、陪你解題,然後再問你一題。

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