ENHANCING STUDENT ENGAGEMENT TRACKING DURING ONLINE LEARNING USING DEEP LEARNING

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Hello Researcher,

I like the research paper, but I think it should be improved a lot. I can't see any depth process to handle the online and hybrid model with proper techniques.

I can see several issues in using the algorithms.

If we can use one of these algorithms, then it will be very good for this learning process because it is one of the best algorithms to handle the online process with accuracy and security. This will have a lot of impact on students in the future.

Data Encryption & Decryption Pseudocode (AES-like)

1. Key Generation

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function generateKey():
    key = random 256-bit value
    return key

2. Encryption Process

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function encrypt(data, key):
    iv = generateRandomIV()  // Initialization Vector
    cipher = AES_Encrypt(data, key, iv)
    encryptedData = iv + cipher  // prepend IV for decryption
    return encryptedData

3. Decryption Process

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function decrypt(encryptedData, key):
    iv = extractFirstBlock(encryptedData)
    cipher = extractRemainingBlocks(encryptedData)
    originalData = AES_Decrypt(cipher, key, iv)
    return originalData

We can use this kind of process in the use of CNN1D algorithms to improve the process. The overall research is good. Thanks for giving me the chance to review.