Creating Educational Games with Gemini 2.0 and Google AI Studio in less than 10 minutes: A Step-by-Step Guide

Creating Educational Games with Gemini 2.0 and Google AI Studio in less than 10 minutes: A Step-by-Step Guide

In today's digital age, leveraging artificial intelligence to enhance learning experiences has become increasingly popular. One innovative approach is using AI to transform textbook content into interactive, playable games that reinforce key concepts. This guide will walk you through the process of using Gemini 2.0 within Google AI Studio to create a unique, educational game from a chapter in the INFO 6205: Algorithms and Data Structures textbook by Nik Bear Brown and Nimish Magre, specifically focusing on Dynamic Programming. You will then implement the game using JSFiddle. By following these steps, you can create engaging study tools tailored to your specific learning needs.

Table of Contents

  1. Introduction
  2. Prerequisites
  3. Step 1: Inputting the Textbook Chapter into Gemini 2.0
  4. Step 2: Reviewing the AI-Generated Game Concept
  5. Step 3: Implementing the Game in JSFiddle. 3
  6. Additional Tips
  7. Conclusion


Introduction

Educational games are powerful tools that can transform passive learning into active engagement. By integrating AI technologies like Gemini 2.0 within Google AI Studio, educators and students can create customized games that target specific areas of study. This guide uses a chapter on Dynamic Programming from the INFO 6205: Algorithms and Data Structures textbook by Nik Bear Brown and Nimish Magre as an example, demonstrating how to convert theoretical concepts into an interactive game format.

Prerequisites

Before you begin, ensure you have the following:

  • Access to Google AI Studio: Make sure you have an account and the necessary permissions to use Gemini 2.0.
  • Gemini 2.0 Access: Confirm that you have access to the Gemini 2.0 model within Google AI Studio.
  • JSFiddle Account: While JSFiddle can be used without an account, having one allows you to save and manage your code snippets.
  • Basic Knowledge of HTML, CSS, and JavaScript: Understanding these web technologies will help you customize and troubleshoot your game if needed.
  • Textbook Chapter: Have a digital copy of the Dynamic Programming chapter from the INFO 6205: Algorithms and Data Structures textbook.

Step 1: Inputting the Textbook Chapter into Gemini 2.0

1.1. Access Google AI Studio

  1. Navigate to Google AI Studio and sign in with your Google account.
  2. Ensure that you have access to Gemini 2.0. If not, you may need to request access or check for available updates.

1.2. Prepare the Textbook Chapter

  1. Select the chapter on Dynamic Programming from your INFO 6205: Algorithms and Data Structures textbook.
  2. Ensure the content is in a digital format (e.g., PDF, DOCX). If it's a physical copy, scan it or use OCR (Optical Character Recognition) software to digitize the text.

1.3. Upload the Chapter to Gemini 2.0

  1. In Google AI Studio, navigate to the Gemini 2.0 interface.
  2. Locate the option to Upload Document or Input Text.
  3. Upload your textbook chapter. Ensure that the text is clear and well-formatted to facilitate accurate understanding by the AI.

1.4. Configure the AI for Understanding

  1. Contextual Understanding: Provide Gemini 2.0 with context about the subject matter. For instance, specify that the chapter is about Dynamic Programming within Algorithms and Data Structures.
  2. Objective Setting: Clearly state your objective, such as "Generate a playable game to help learn the concepts from this chapter for an upcoming exam."

Example Input Prompt:

You are an AI designed to create educational games. Analyze the following chapter on Dynamic Programming from the INFO 6205: Algorithms and Data Structures textbook by Nik Bear Brown and Nimish Magre, and generate a unique, playable game that helps reinforce the key concepts covered. The game should be engaging, interactive, and suitable for exam preparation.
        

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You are an AI designed to create educational games. Analyze the following chapter on Dynamic Programming from the INFO 6205: Algorithms and Data Structures textbook by Nik Bear Brown and Nimish Magre, and generate a unique, playable game that helps reinforce the key concepts covered. The game should be engaging, interactive, and suitable for exam preparation.

  1. Initiate Processing: Submit the input and allow Gemini 2.0 to process the chapter.

Step 2: Reviewing the AI-Generated Game Concept

After submitting the chapter to Gemini 2.0, the AI analyzes the content and generates a comprehensive game concept designed to reinforce the core principles of Dynamic Programming. Below is the detailed game concept created by Gemini 2.0:


Okay, I've analyzed the provided chapter on Dynamic Programming and have come up with a game concept designed to reinforce its core principles.

Game Title: DP Quest: Optimize Your Path

Game Type: Interactive, Puzzle-Based, Point-and-Click/Drag-and-Drop Adventure

Target Audience: Students learning Dynamic Programming (e.g., for exam prep in INFO 6205)

Core Game Mechanics:

  • Quest Map: The game presents a series of interconnected "challenge zones" on a map. Each zone corresponds to a different type of DP problem discussed in the chapter.
  • Problem Scenarios: Each zone presents a problem in a simplified, game-like context:
  • DP Implementation Interface: Within each zone, you'll have access to a simplified "DP interface" that allows you to choose whether to use Memoization or Tabulation to solve the problem. If you choose memoization, a memory table will appear to display when the values are being cached and retrieved. When using the tabulation method, a table will appear to display the iterative construction of the solution.

Scoring System:

  • Time Efficiency: How quickly you solve each problem. Faster, more efficient approaches score higher.
  • Optimal Solution: Points awarded for achieving the most optimal (or at least, a very good approximation).
  • Correct Choice of DP Approach: Correctly choosing Memoization or Tabulation earns bonus points.
  • Memory Usage: Although not explicitly shown to the user, lower memory utilization using DP earns higher scores.

Tutorials and Hints:

Each zone can start with a brief tutorial explanation of the relevant DP concept, and hints are available if needed.

Progress Tracking:

As the user completes each section, a progress bar on the main quest map will track progress and achievements.

Game Play Example:

  • Game Start: The player sees the quest map with different zones highlighted. They click on the Fibonacci Sequence Zone.
  • Fibonacci Zone: They are presented with an incomplete Fibonacci sequence (e.g., 0, 1, ?, ?, 5, 8). They are given pre-computed Fibonacci values (2, 3, 13, 21, 1) in a drag-and-drop panel. They must drag the correct values (2 and 3) into the missing slots. A table representing memoization will show when the values are being retrieved or stored into the cache during runtime.
  • Knapsack Zone: They are presented with various treasures (e.g., gem, sword, gold coins, and potion), each with different values and weights. The player must carefully choose which items to place into their limited weight knapsack. The user can test different scenarios using the Memoization/Tabulation options before committing their answer.
  • Shortest Path Zone: The player sees a visual graph of a city, with various nodes being the locations within the city. Edges will represent the roads connecting these nodes. Some of these roads will have negative weights. The user will have to use the proper DP technique (Bellman-Ford/Floyd-Warshall) to find the shortest path between the start and end nodes while avoiding negative cycles.
  • Optimal BST Zone: The player is shown a set of keys with their corresponding probabilities. Using drag and drop, the user will create the optimal BST. The user will be given visual representations of the expected search times at every step of the tree creation, so that they can create the most optimal BST by referencing these values.
  • End Game: After completing all the zones, the player receives a final score and summary of how well they implemented DP in each section.

Why this game is effective:

  • Active Recall: Rather than just reading about DP, the game requires students to actively apply the concepts.
  • Visual Learning: The UI and interactions provide a visual understanding of how DP techniques work.
  • Engaging and Interactive: The game format promotes engagement and makes learning more enjoyable.
  • Immediate Feedback: The scoring system and clear UI give students immediate feedback on their performance.
  • Reinforcement of Core Concepts: The game directly reinforces the principles of optimal substructure, overlapping subproblems, memoization, and tabulation.
  • Comparison of Various DP Methods: The user can test various DP approaches within the same problem scenario before locking in their answer to compare the different approaches.
  • Emphasis on Algorithm Complexity: Although not overtly displayed in the game, the scoring system emphasizes optimal memory and computational usage during algorithm design.
  • Exam Preparation: It directly addresses the topics covered in the chapter and tests students' understanding of key principles.

Technical Considerations:

  • The game can be developed using HTML5, JavaScript, and potentially a framework like React or Vue.js for UI.
  • The algorithms and scoring mechanism can be implemented using JavaScript.
  • The graphical UI elements can be created using HTML Canvas or SVG.

This game concept should provide a fun and effective way for students to learn and master Dynamic Programming, making it ideal for exam preparation. Let me know if you would like me to refine this concept further!


Step 3: Implementing the Game in JSFiddle

With the game concept defined, the next step is to bring it to life using JSFiddle, an online IDE that allows you to write, run, and share HTML, CSS, and JavaScript code snippets. Below is the actual code for the DP Quest: Optimize Your Path game, including HTML, CSS, and JavaScript.

3.1. Navigate to JSFiddle

  1. Go to JSFiddle.
  2. You'll see sections for HTML, CSS, JavaScript, and Result.

3.2. Input the Code

HTML

Paste the following HTML code into the HTML section of JSFiddle:

<!DOCTYPE html>
<html>
<head>
    <title>DP Quest: Optimize Your Path</title>
    <link rel="stylesheet" href="style.css"> <!-- Link to external CSS -->
</head>
<body>
    <div class="game-container">
        <div class="map">
            <button id="fibonacciBtn" class="zone-button">Fibonacci</button>
            <button id="knapsackBtn" class="zone-button">Knapsack</button>
            <button id="sequenceBtn" class="zone-button">Sequence Align</button>
            <button id="shortestBtn" class="zone-button">Shortest Path</button>
            <button id="bstBtn" class="zone-button">Optimal BST</button>
            <div id="progress-bar">
                <div id="progress"></div>
            </div>
            <div id="score-board">
                <p>Score: <span id="score">0</span></p>
            </div>
        </div>

        <div id="problem-area" class="problem-area hidden">
            <h2 id="problem-title"></h2>
            <p id="problem-description"></p>
            <div id="dp-interface" class="hidden">
              <button id="memoizationBtn">Memoization</button>
              <button id="tabulationBtn">Tabulation</button>
               <div id="memory-table" class="hidden">
                    <p>Memory Table</p>
                    <pre id="memory-display"></pre>
                </div>
                <div id="tabulation-table" class="hidden">
                  <p>Tabulation Table</p>
                    <pre id="tabulation-display"></pre>
                </div>
            </div>
            <div id="problem-content"></div>
            <div id="answer-area">
              <div id="problem-input">
                </div>
            <button id="submitBtn" class="hidden">Submit Answer</button>
            <div id="feedback" class="hidden"></div>
            </div>
            <button id="backBtn" class="hidden">Back to Map</button>
        </div>
    </div>
    <script src="script.js"></script> <!-- Link to external JS -->
</body>
</html>
        

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Note: In JSFiddle, you should remove the <html>, <head>, and <body> tags, as JSFiddle separates these into different sections. Instead, place the contents of the <body> tag directly into the HTML section and omit the <link> and <script> tags. Alternatively, you can include the CSS and JS directly into the respective sections.

Updated HTML for JSFiddle:

    <div class="game-container">
    <div class="map">
        <button id="fibonacciBtn" class="zone-button">Fibonacci</button>
        <button id="knapsackBtn" class="zone-button">Knapsack</button>
        <button id="sequenceBtn" class="zone-button">Sequence Align</button>
        <button id="shortestBtn" class="zone-button">Shortest Path</button>
        <button id="bstBtn" class="zone-button">Optimal BST</button>
        <div id="progress-bar">
            <div id="progress"></div>
        </div>
        <div id="score-board">
            <p>Score: <span id="score">0</span></p>
        </div>
    </div>

    <div id="problem-area" class="problem-area hidden">
        <h2 id="problem-title"></h2>
        <p id="problem-description"></p>
        <div id="dp-interface" class="hidden">
          <button id="memoizationBtn">Memoization</button>
          <button id="tabulationBtn">Tabulation</button>
           <div id="memory-table" class="hidden">
                <p>Memory Table</p>
                <pre id="memory-display"></pre>
            </div>
            <div id="tabulation-table" class="hidden">
              <p>Tabulation Table</p>
                <pre id="tabulation-display"></pre>
            </div>
        </div>
        <div id="problem-content"></div>
        <div id="answer-area">
          <div id="problem-input">
            </div>
        <button id="submitBtn" class="hidden">Submit Answer</button>
        <div id="feedback" class="hidden"></div>
        </div>
        <button id="backBtn" class="hidden">Back to Map</button>
    </div>
</div>

        

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CSS

Paste the following CSS code into the CSS section of JSFiddle:

body {
    font-family: sans-serif;
    margin: 0;
    padding: 0;
    background-color: #f0f0f0;
    display: flex;
    justify-content: center;
    align-items: center;
    min-height: 100vh;
}

.game-container {
    display: flex;
    width: 90%;
    max-width: 1200px;
    background: #fff;
    box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);
    margin: 20px;
    padding: 20px;
    border-radius: 8px;
    flex-wrap: wrap;
}

.map {
    width: 30%;
    padding: 10px;
    display: flex;
    flex-direction: column;
}

.zone-button {
    margin: 5px;
    padding: 10px;
    cursor: pointer;
    background-color: #4CAF50;
    color: white;
    border: none;
    border-radius: 4px;
    transition: background-color 0.3s ease;
}

.zone-button:hover {
    background-color: #45a049;
}

#progress-bar {
    width: 100%;
    height: 20px;
    background-color: #eee;
    border-radius: 10px;
    margin-top: 20px;
    overflow: hidden;
}

#progress {
    height: 100%;
    background-color: #007bff;
    width: 0;
    transition: width 0.3s ease;
}

#score-board {
    margin-top: 20px;
    text-align: center;
    font-weight: bold;
    font-size: 1.2em;
}

.problem-area {
    width: 70%;
    padding: 10px;
    display: none;
}

.problem-area.hidden{
   display:none;
}
.problem-area.visible{
  display: block;
}

#dp-interface button {
    margin: 5px;
    padding: 8px;
    cursor: pointer;
    background-color: #007bff;
    color: white;
    border: none;
    border-radius: 4px;
    transition: background-color 0.3s ease;
}

#dp-interface button:hover{
 background-color: #0056b3;
}

#problem-content {
  margin-top: 20px;
  margin-bottom: 10px;
  padding: 10px;
  border: 1px solid #ddd;
  border-radius: 4px;
}

#answer-area{
    margin-top: 20px;
    text-align: left;

}

#problem-input{
 margin-bottom: 10px;
 padding: 10px;
 border: 1px solid #ddd;
  border-radius: 4px;
}

#submitBtn {
   margin: 5px;
    padding: 10px;
    cursor: pointer;
    background-color: #28a745;
    color: white;
    border: none;
    border-radius: 4px;
    transition: background-color 0.3s ease;
}

#submitBtn:hover{
   background-color: #1e7e34;
}

#feedback{
  margin-top: 10px;
 padding: 10px;
 border: 1px solid #ddd;
  border-radius: 4px;
    font-weight: bold;
}

#backBtn{
      margin: 5px;
    padding: 10px;
    cursor: pointer;
    background-color: #dc3545;
    color: white;
    border: none;
    border-radius: 4px;
    transition: background-color 0.3s ease;
}

#backBtn:hover{
   background-color: #c82333;
}

.hidden {
    display: none;
}

.visible{
    display: block;
}

#memory-table{
  margin-top: 20px;
    padding: 10px;
    border: 1px solid #ddd;
    border-radius: 4px;
  text-align: left;
    white-space: pre-wrap; /* Allow new lines */
}

#tabulation-table {
  margin-top: 20px;
    padding: 10px;
    border: 1px solid #ddd;
    border-radius: 4px;
    text-align: left;
    white-space: pre-wrap;
}
        


JavaScript

Paste the following JavaScript code into the JavaScript section of JSFiddle:

// --- Game Initialization ---
const fibonacciBtn = document.getElementById('fibonacciBtn');
const knapsackBtn = document.getElementById('knapsackBtn');
const sequenceBtn = document.getElementById('sequenceBtn');
const shortestBtn = document.getElementById('shortestBtn');
const bstBtn = document.getElementById('bstBtn');
const problemArea = document.getElementById('problem-area');
const problemTitle = document.getElementById('problem-title');
const problemDescription = document.getElementById('problem-description');
const problemContent = document.getElementById('problem-content');
const dpInterface = document.getElementById('dp-interface');
const memoizationBtn = document.getElementById('memoizationBtn');
const tabulationBtn = document.getElementById('tabulationBtn');
const memoryTable = document.getElementById('memory-table');
const memoryDisplay = document.getElementById('memory-display');
const tabulationTable = document.getElementById('tabulation-table');
const tabulationDisplay = document.getElementById('tabulation-display');
const submitBtn = document.getElementById('submitBtn');
const feedbackDiv = document.getElementById('feedback');
const backBtn = document.getElementById('backBtn');
const problemInput = document.getElementById('problem-input');
const progressBar = document.getElementById('progress');
const scoreDisplay = document.getElementById('score');
let currentZone = null;
let score = 0;
let progress = 0;

// --- Event Listeners for Zone Selection ---
fibonacciBtn.addEventListener('click', () => loadProblem('fibonacci'));
knapsackBtn.addEventListener('click', () => loadProblem('knapsack'));
sequenceBtn.addEventListener('click', () => loadProblem('sequence'));
shortestBtn.addEventListener('click', () => loadProblem('shortest'));
bstBtn.addEventListener('click', () => loadProblem('bst'));
backBtn.addEventListener('click', backToMap);

// --- Helper Function to update the UI Elements ---
function updateUI (showProblem=false){
    problemArea.classList.toggle('hidden', !showProblem);
    problemArea.classList.toggle('visible', showProblem);
    dpInterface.classList.toggle('hidden', !showProblem);
    backBtn.classList.toggle('hidden', !showProblem);
}

// ---  Load Problem Logic ---
function loadProblem(zoneName) {
    currentZone = zoneName;
    updateUI(true);
    problemContent.innerHTML = '';
    problemInput.innerHTML = '';
    submitBtn.classList.add('hidden');
    feedbackDiv.classList.add('hidden');
    memoryTable.classList.add('hidden');
    tabulationTable.classList.add('hidden');
    // Clear any previous inputs
    problemInput.innerHTML = "";
    let problemConfig = null;

    switch (zoneName) {
        case 'fibonacci':
            problemConfig = generateFibonacciProblem();
            break;
        case 'knapsack':
            problemConfig = generateKnapsackProblem();
            break;
        case 'sequence':
            problemConfig = generateSequenceAlignmentProblem();
            break;
        case 'shortest':
            problemConfig = generateShortestPathProblem();
            break;
        case 'bst':
            problemConfig = generateBSTProblem();
            break;
    }
    if (problemConfig) {
        problemTitle.textContent = problemConfig.title;
        problemDescription.textContent = problemConfig.description;
        problemContent.innerHTML = problemConfig.contentHTML;
        if (problemConfig.inputHTML) {
            problemInput.innerHTML = problemConfig.inputHTML;
            submitBtn.classList.remove('hidden');
            if (problemConfig.onLoad) {
                problemConfig.onLoad();
            }
        }
    }
}

// --- Back to Map ---
function backToMap() {
    updateUI(false);
    currentZone = null;
}

// --- Fibonacci Problem ---
function generateFibonacciProblem() {
    return {
        title: 'Fibonacci Sequence Challenge',
        description: 'Complete the Fibonacci sequence by filling in the missing numbers.',
        contentHTML: `<p>Sequence: 0, 1, ?, ?, 5, 8 </p>`,
        inputHTML: `
            <input type="text" id="fib1" placeholder="?">
            <input type="text" id="fib2" placeholder="?">
        `,
        onLoad: () => {
            submitBtn.onclick = () => {
                let ans1 = parseInt(document.getElementById('fib1').value);
                let ans2 = parseInt(document.getElementById('fib2').value);
                checkFibonacci(ans1, ans2);
            }
        },
    };
}


// --- Knapsack Problem ---
function generateKnapsackProblem() {
    const items = [
        { name: "Gem", value: 60, weight: 10 },
        { name: "Sword", value: 100, weight: 20 },
        { name: "Coins", value: 120, weight: 30 },
        { name: "Potion", value: 40, weight: 5 }
    ];
    const capacity = 50;
    let itemsHtml = '';
    items.forEach((item, index) => {
        itemsHtml +=
            `<div><input type="checkbox" id="item-${index}" data-value="${item.value}" data-weight="${item.weight}">
    <label for="item-${index}">${item.name} (Value: ${item.value}, Weight: ${item.weight})</label></div>`;
    });

    return {
        title: 'Knapsack Problem Challenge',
        description: 'Select items to maximize value without exceeding the 50 weight capacity.',
        contentHTML:
            `<p>Items:</p>${itemsHtml}`,
        inputHTML: `<p>Total Value: <span id="knapsack-value">0</span> Total Weight: <span id="knapsack-weight">0</span></p>`,
        onLoad: () => {
            submitBtn.onclick = checkKnapsack;
        },
    };
}

// --- Sequence Alignment Problem ---
function generateSequenceAlignmentProblem() {
    return {
        title: 'Sequence Alignment Challenge',
        description: 'Align the given sequences to maximize similarity.',
        contentHTML: `<p>Sequence A: AGTACGCA </p><p>Sequence B: TATGC</p>`,
        inputHTML: `
            <label for="sequence_ans">Aligned Sequence A:</label><input type="text" id="sequence_ans" placeholder="Aligned sequence"><br>
           <label for="sequence_ans2">Aligned Sequence B:</label><input type="text" id="sequence_ans2" placeholder="Aligned sequence"><br>
        `,
        onLoad: () => {
            submitBtn.onclick = checkSequenceAlignment;
        },
    };
}


// --- Shortest Path Problem ---
function generateShortestPathProblem() {
    return {
        title: 'Shortest Path Challenge',
        description: 'Find the shortest path from node A to node E in the weighted graph using negative weights.',
        contentHTML: `<p>Graph: A --(2)--> B --(4)--> D, A --(5)--> C --(1)--> D, B --(-3)--> C,  C --(3)--> E, D--(-4)--> E</p>`,
        inputHTML: `<label for="shortest_ans">Shortest Path Cost:</label> <input type="text" id="shortest_ans" placeholder="Shortest Path Cost">`,
        onLoad: () => {
            submitBtn.onclick = checkShortestPath;
        },
    };
}

// --- Optimal BST Problem ---
function generateBSTProblem() {
    return {
        title: 'Optimal BST Challenge',
        description: 'Create an optimal BST using the given nodes and probabilities to minimize the expected search time.',
        contentHTML: `<p>Keys: [10, 12, 20] </p><p>Probabilities: [0.34, 0.33, 0.33]</p>`,
        inputHTML: `<label for="bst_ans">Optimal Search Cost</label><input type="text" id="bst_ans" placeholder="Expected search time">`,
        onLoad: () => {
            submitBtn.onclick = checkOptimalBST;
        },
    };
}

// --- DP method buttons onclick handler ---
memoizationBtn.addEventListener('click', showMemoization);
tabulationBtn.addEventListener('click', showTabulation);

// --Show the memory display for the memoization method --
function showMemoization(){
  memoryTable.classList.remove('hidden');
  tabulationTable.classList.add('hidden');
  if(currentZone === 'fibonacci'){
    memoizedFibonacci();
  } else if(currentZone === 'knapsack'){
      memoizedKnapsack();
  } else if(currentZone === 'sequence'){
    memoizedSequenceAlignment();
  } else if(currentZone === 'shortest'){
    memoizedShortestPath();
  } else if(currentZone === 'bst'){
       memoizedOptimalBST();
  }
}
// --Show the tabulation table for the tabulation method --
function showTabulation(){
    memoryTable.classList.add('hidden');
    tabulationTable.classList.remove('hidden');
    if(currentZone === 'fibonacci'){
      tabulatedFibonacci();
    } else if (currentZone === 'knapsack'){
         tabulatedKnapsack();
    } else if(currentZone === 'sequence'){
         tabulatedSequenceAlignment();
    } else if (currentZone === 'shortest'){
      tabulatedShortestPath();
    } else if(currentZone === 'bst'){
      tabulatedOptimalBST();
    }
}

// --- Check Fibonacci Answer ---
function checkFibonacci(ans1, ans2){
  feedbackDiv.classList.remove('hidden');
    if(ans1 == 2 && ans2 == 3){
       feedbackDiv.textContent = "Correct!";
       updateProgress();
     }
    else{
       feedbackDiv.textContent ="Incorrect, try again!";
    }
}

// --- Check Knapsack Answer ---
function checkKnapsack() {
  const capacity = 50;
  let totalValue = 0;
  let totalWeight = 0;

  const items = [
     { name: "Gem", value: 60, weight: 10 },
        { name: "Sword", value: 100, weight: 20 },
        { name: "Coins", value: 120, weight: 30 },
        { name: "Potion", value: 40, weight: 5 }
  ]
   items.forEach((item, index) => {
    let checkbox = document.getElementById(`item-${index}`);
     if(checkbox.checked){
        totalValue += item.value;
        totalWeight += item.weight;
      }
   });
  feedbackDiv.classList.remove('hidden');
    if(totalValue == 220 && totalWeight <= capacity) {
       feedbackDiv.textContent = "Correct! You found an optimal solution.";
       updateProgress();
    } else {
      feedbackDiv.textContent = "Incorrect, try a different item combination.";
  }
}

// --- Check Sequence Alignment Answer ---
function checkSequenceAlignment() {
    feedbackDiv.classList.remove('hidden');
    let ans1 = document.getElementById("sequence_ans").value;
    let ans2 = document.getElementById("sequence_ans2").value;
    if(ans1 == "AGTACGCA" && ans2 == "-TATGC-"){
       feedbackDiv.textContent = "Correct!";
       updateProgress();
    } else{
        feedbackDiv.textContent ="Incorrect, try again!";
    }
}
// --- Check Shortest Path Answer ---
function checkShortestPath() {
     feedbackDiv.classList.remove('hidden');
    let ans = parseInt(document.getElementById("shortest_ans").value);
     if(ans == 2){
        feedbackDiv.textContent = "Correct!";
         updateProgress();
      }
     else{
        feedbackDiv.textContent = "Incorrect, try again!";
     }
}

// --- Check Optimal BST Answer ---
function checkOptimalBST(){
   feedbackDiv.classList.remove('hidden');
  let ans = parseFloat(document.getElementById("bst_ans").value);
    if (ans == 2.03){
        feedbackDiv.textContent = "Correct!";
         updateProgress();
    } else {
       feedbackDiv.textContent = "Incorrect, try again!";
    }
}

// --- Dynamic programming Implementations ---
function memoizedFibonacci(){
    let memo = [];
     function fib(n) {
        if (n in memo) {
            return memo[n];
        }
        if (n <= 1) {
           return n;
        }
        memo[n] = fib(n - 1) + fib(n - 2);
        return memo[n];
     }
     let result = fib(5);
     memoryDisplay.textContent = JSON.stringify(memo, null, 2);
     return result;
}

function tabulatedFibonacci() {
  let n = 5;
    let dp = new Array(n + 1).fill(0);
    dp[1] = 1;
    for (let i = 2; i <= n; i++) {
        dp[i] = dp[i - 1] + dp[i - 2];
    }
    tabulationDisplay.textContent = JSON.stringify(dp, null, 2);
     return dp[n];
}

function memoizedKnapsack() {
  const items = [
    { name: "Gem", value: 60, weight: 10 },
    { name: "Sword", value: 100, weight: 20 },
    { name: "Coins", value: 120, weight: 30 },
    { name: "Potion", value: 40, weight: 5 }
  ]
  const capacity = 50;
  const n = items.length;
  const memo = {};

  function knapsackRec(i, w) {
       if (i < 0 || w <= 0) return 0;

         if (`${i}-${w}` in memo) return memo[`${i}-${w}`];

        let result;
          if (items[i].weight > w) {
              result = knapsackRec(i - 1, w);
          } else {
              result = Math.max(
                knapsackRec(i - 1, w),
                 items[i].value + knapsackRec(i - 1, w - items[i].weight)
              )
          }

        memo[`${i}-${w}`] = result;
        return result;
     }
    let result = knapsackRec(n-1, capacity);
    memoryDisplay.textContent = JSON.stringify(memo, null, 2);
     return result;
}

function tabulatedKnapsack(){
 const items = [
    { name: "Gem", value: 60, weight: 10 },
    { name: "Sword", value: 100, weight: 20 },
    { name: "Coins", value: 120, weight: 30 },
    { name: "Potion", value: 40, weight: 5 }
  ]
   const capacity = 50;
  const n = items.length;
    let dp = Array(n+1).fill(null).map(() => Array(capacity+1).fill(0));
    for (let i = 1; i <= n; i++){
      for (let j = 0; j <= capacity; j++) {
         if (items[i - 1].weight > j){
           dp[i][j] = dp[i-1][j];
         } else {
          dp[i][j] = Math.max(dp[i-1][j], items[i-1].value + dp[i-1][j - items[i-1].weight])
        }
      }
    }

    tabulationDisplay.textContent = JSON.stringify(dp, null, 2);
  return dp[n][capacity];
}

function memoizedSequenceAlignment() {
  const seqA = "AGTACGCA";
  const seqB = "TATGC";
  const matchCost = 1;
  const mismatchCost = -1;
  const gapPenalty = -2;
   const memo = {};
  function sequenceAlignmentRec(i, j) {
      if(i < 0) return j*gapPenalty;
      if(j<0) return i*gapPenalty;

      if(`${i}-${j}` in memo) return memo[`${i}-${j}`]
      let cost;
      if(seqA[i] === seqB[j]){
        cost = sequenceAlignmentRec(i-1,j-1) + matchCost;
      } else {
        cost = sequenceAlignmentRec(i-1,j-1) + mismatchCost;
      }
      let insert = sequenceAlignmentRec(i, j-1) + gapPenalty;
      let del = sequenceAlignmentRec(i-1, j) + gapPenalty;
      let result = Math.min(cost, insert, del)
    memo[`${i}-${j}`] = result;
    return result;
  }
  let result = sequenceAlignmentRec(seqA.length-1,seqB.length - 1);
    memoryDisplay.textContent = JSON.stringify(memo, null, 2);
  return result
}

function tabulatedSequenceAlignment() {
  const seqA = "AGTACGCA";
  const seqB = "TATGC";
  const matchCost = 1;
  const mismatchCost = -1;
  const gapPenalty = -2;
  const n = seqA.length;
    const m = seqB.length;
   let dp = Array(n+1).fill(null).map(() => Array(m+1).fill(0));
    for(let i = 0; i<= n; i++){
      dp[i][0] = i*gapPenalty;
    }
     for(let j = 0; j<= m; j++){
        dp[0][j] = j*gapPenalty
    }

     for(let i = 1; i <= n; i++){
        for(let j = 1; j <=m; j++){
          let cost;
          if(seqA[i-1] === seqB[j-1]){
             cost = dp[i-1][j-1] + matchCost;
           } else{
             cost = dp[i-1][j-1] + mismatchCost;
          }
        let insert = dp[i][j-1] + gapPenalty;
        let del = dp[i-1][j] + gapPenalty;
        dp[i][j] = Math.min(cost, insert, del);
     }
   }
  tabulationDisplay.textContent = JSON.stringify(dp, null, 2);
  return dp[n][m];
}

function memoizedShortestPath(){
    const graph = {
      'A': {'B': 2, 'C': 5},
      'B': {'D': 4, 'C': -3},
      'C': {'D': 1, 'E': 3},
      'D': {'E': -4},
      'E': {}
  };
  const memo = {};
  function shortestPathRec(node){
    if(node === 'E'){
        return 0;
    }
    if(node in memo){
      return memo[node];
    }
    let minCost = Infinity;
     for(const neighbor in graph[node]){
        minCost = Math.min(minCost, graph[node][neighbor] + shortestPathRec(neighbor))
      }
      memo[node] = minCost
    return minCost;
  }
  let result = shortestPathRec('A');
   memoryDisplay.textContent = JSON.stringify(memo, null, 2);
  return result;
}

function tabulatedShortestPath(){
    const graph = {
      'A': {'B': 2, 'C': 5},
      'B': {'D': 4, 'C': -3},
      'C': {'D': 1, 'E': 3},
      'D': {'E': -4},
      'E': {}
  };
   let nodes = Object.keys(graph)
    let dist = {};
    for(let node of nodes){
      dist[node] = Infinity;
    }
    dist['E'] = 0;
    let tab = {};
      for(let i = 0; i < nodes.length; i++){
         tab[i] = {};
         for(let node of nodes){
              tab[i][node] = dist[node];
         }
        for(let node of nodes){
           for(const neighbor in graph[node]){
            dist[neighbor] = Math.min(dist[neighbor], dist[node] + graph[node][neighbor])
           }
         }
     }
   tabulationDisplay.textContent = JSON.stringify(tab, null, 2);
  return dist['A']
}

function memoizedOptimalBST(){
  const keys = [10, 12, 20];
  const probabilities = [0.34, 0.33, 0.33];
  const n = keys.length;
  const memo = {};
  function optimalBSTRec(i, j){
     if(i > j) return 0;
      if(`${i}-${j}` in memo) return memo[`${i}-${j}`]
      let minCost = Infinity;
       let totalProb = 0;
       for(let k = i; k <=j; k++){
           totalProb += probabilities[k];
      }
       for(let k = i; k <= j; k++){
        minCost = Math.min(minCost, optimalBSTRec(i, k -1) + optimalBSTRec(k+1, j) + totalProb);
      }
    memo[`${i}-${j}`] = minCost;
      return minCost;
   }
  let result = optimalBSTRec(0, n-1);
  memoryDisplay.textContent = JSON.stringify(memo, null, 2);
  return result;
}

function tabulatedOptimalBST(){
  const keys = [10, 12, 20];
  const probabilities = [0.34, 0.33, 0.33];
  const n = keys.length;
  let dp = Array(n+1).fill(null).map(() => Array(n+1).fill(0));
  for (let i = 0; i < n; i++) {
      dp[i][i] = probabilities[i];
    }
    for (let len = 2; len <= n; len++) {
        for(let i = 0; i <= n - len + 1; i++) {
            let j = i + len - 1;
             dp[i][j] = Infinity;
               let totalProb = 0;
                for (let k= i; k <= j; k++) {
                   totalProb += probabilities[k]
                }
                 for (let k = i; k <= j; k++) {
                  dp[i][j] = Math.min(dp[i][j],
                  (k>i ? dp[i][k-1] : 0) + (k < j ? dp[k+1][j] : 0) + totalProb);
              }
        }
   }
  tabulationDisplay.textContent = JSON.stringify(dp, null, 2);
  return dp[0][n-1];
}


// Progress Tracking
function updateProgress(){
    progress++;
     let progressPercent = (progress / 5) * 100;
     progressBar.style.width = `${progressPercent}%`;
      score += 100;
    scoreDisplay.textContent = score;
}
        

3.3. Configure External Resources (If Needed)

If your game requires external libraries (e.g., React, Vue.js, Phaser.js), you can add them via the External Resources section in JSFiddle:

  1. Click on the Settings icon in the JavaScript section.
  2. Under External Resources, add the CDN links for the libraries you need.

For this game, the provided code uses plain JavaScript, HTML, and CSS, so no external libraries are required. However, if you wish to enhance the game with additional frameworks or libraries in the future, you can include them as needed.

3.4. Run and Test the Game

  1. Run the Code:
  2. Test Functionality:

3.5. Debugging and Refinement

  1. Identify Issues:If the game doesn't function correctly, check the browser console for errors by right-clicking on the Result pane and selecting Inspect or Inspect Element, then navigating to the Console tab.
  2. Adjust Code:Make necessary adjustments in the JSFiddle editor based on the errors or desired improvements.
  3. Iterate:Repeat the testing process until the game operates smoothly and all functionalities work as intended.

3.6. Save and Share

  1. Save Your Fiddle:
  2. Share the Game:

Additional Tips

  • Enhance Interactivity: Incorporate multimedia elements like images, sounds, and animations to make the game more engaging.
  • User Feedback: Add feedback mechanisms such as scores, timers, or progress indicators to motivate learning.
  • Responsive Design: Ensure the game is responsive and functions well on different devices and screen sizes.
  • Collaborate: Share your game with peers or educators for feedback and collaborative improvements.
  • Expand Functionality: Use advanced JavaScript frameworks or libraries to add complex features as your skills grow.

Conclusion

Transforming textbook chapters into interactive games using Gemini 2.0 and Google AI Studio offers a dynamic approach to learning. By following this guide and implementing the provided code, you can create customized educational tools that not only make studying more enjoyable but also reinforce key concepts effectively. Integrating these games into platforms like JSFiddle allows for easy sharing and collaboration, further enhancing the learning experience. Embrace the power of AI to elevate your educational journey and prepare for exams with engaging, hands-on practice.


Happy Learning and Game Developing!

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