Select the appropriate Applied AI services

When it comes to designing and implementing a Microsoft Azure AI solution for exams, there are several applied AI services that can be leveraged effectively. These services provide a range of capabilities to enhance the exam experience and improve overall efficiency. In this article, we will explore some of the most appropriate applied AI services for designing and implementing a Microsoft Azure AI solution for exams.

1. Azure Cognitive Services – Text Analytics

Azure Cognitive Services provides a Text Analytics API that can be utilized to extract valuable insights from exam-related textual data. The Text Analytics API offers features such as sentiment analysis, key phrase extraction, and language detection. By analyzing exam feedback or comments, educators and administrators can gain valuable insights into student perceptions and sentiments. This can help identify areas of improvement in the exam structure or content.

Example code snippet for sentiment analysis using Text Analytics API:


function analyzeSentiment(text) {
const params = {
'documents': [
{ 'id': '1', 'language': 'en', 'text': text }
]
};
fetch('https:///text/analytics/v3.0/sentiment', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Ocp-Apim-Subscription-Key': ''
},
body: JSON.stringify(params)
})
.then(response => response.json())
.then(data => {
console.log(data.documents[0].sentiment);
})
.catch(error => console.log(error));
}

const textToAnalyze = 'The exam was extremely challenging and confusing.';
analyzeSentiment(textToAnalyze);


2. Azure Machine Learning – Automated ML

Azure Machine Learning simplifies the process of building and running machine learning models. Using Automated Machine Learning (AutoML), educators and administrators can create predictive models to analyze various exam-related data points, such as student performance, time management, and difficulty levels. By using historical data, AutoML can identify patterns and provide insights for optimizing future exam design and structure.

Example code snippet for creating a regression model using Automated ML:


const azureml = require('azureml');

automlClient.createExperiment()
.then(experimentId => automlClient.runExperiment(experimentId))
.then(runId => automlClient.getBestModel(runId))
.then(model => console.log(model.name))
.catch(error => console.log(error));


3. Azure Cognitive Services – Form Recognizer

Form Recognizer is an AI service that enables automated extraction of information from forms and other structured documents. With the help of prebuilt models, educators can automate the process of grading exams by extracting relevant information, such as student answers and scores, directly from the submitted forms. This speeds up the grading process, reduces manual effort, and provides consistent results.

Example code snippet for extracting text from an exam form using Form Recognizer:


function extractTextFromForm(formUrl) {
const params = {
'source': formUrl
};
fetch('https:///formrecognizer/v2.1/prebuilt/extraction/analyze', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Ocp-Apim-Subscription-Key': ''
},
body: JSON.stringify(params)
})
.then(response => response.json())
.then(data => {
console.log(data.analyzeResult.documentResults[0].fields);
})
.catch(error => console.log(error));
}

4. Azure Cognitive Services – Speech to Text

Azure Cognitive Services provides a Speech to Text API that can be utilized to transcribe audio recordings into text. Educators can make use of this service to automate the process of transcribing verbal responses provided by students during an exam. This eliminates the need for manual transcription and can save a significant amount of time and effort.

Example code snippet for transcribing speech using Speech to Text API:


function transcribeSpeech(audioFileUrl) {
const params = {
'source': audioFileUrl
};
fetch('https:///speechtotext/v3.0/transcribe', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Ocp-Apim-Subscription-Key': ''
},
body: JSON.stringify(params)
})
.then(response => response.json())
.then(data => {
console.log(data.displayText);
})
.catch(error => console.log(error));
}

const audioFileUrl = '';
transcribeSpeech(audioFileUrl);


In conclusion, Microsoft Azure offers a powerful suite of applied AI services that can be effectively used for designing and implementing AI solutions for exams. By leveraging services like Azure Cognitive Services, Azure Machine Learning, and their associated APIs, educators and administrators can enhance the exam experience, automate time-consuming tasks, and gain valuable insights for improving future exams.