Author’s Thoughts
"AI has dramatically changed not only the technological landscape, but it also changed the way people work. Now, sophisticated multihour tasks can be solved in mere minutes. Question generation is not an obvious sphere of AI usage, but it promises lots of advantages for those who intend to try it. This blogpost is dedicated to how beneficial AI-powered question generator can be for various business tasks and learning processes."
Eugene Kuzmenkov
AI Innovation Analyst, 5+ years of experience as Copywriter-Researcher
AI Question Generator for Business
One of the most painstaking tasks for businesses, educators and people who work with vast amounts of information is to read and analyze documents and other types of textual content.
Thorough processing takes hours of working time and occupies dozens of specialists distracting them from more important tasks.
To solve this, many individuals and organizations apply to AI, intending to automate the process.
One of the ways this work can be automated is the usage of intelligent AI-based question generator. As making questions for numerous massive documents is a part of companies’, educators’ and students’ work, it’s preferable to delegate it to advanced technologies.
Silk Data presents the following blogpost as a comprehensive overview on capabilities of AI technologies in advanced question generation.
We will discover the essence and mechanisms behind its work, consider the common use cases and benefits that businesses can achieve.
How Does AI Question Generator Work?
The process of AI-based question generation can be divided into three main steps.
- Input processing.
The user provides an input that, except text, can be also represented by image, audio or video.
- Natural Language Processing.
At this stage, the textual input is linguistically analyzed by AI model. The analysis includes tokenization (when the text is divided into words, phrases and other meaningful parts), entity and dependency recognition (when the model identifies parts of speech, patterns between them and grammatical structure of the text) and contextual understanding (when the important text parts are identified).
- Output.
The last stage, when the model provides questions generated based on input processing and analysis.
Additionally, advanced AI models are built with the usage of machine learning technologies, that provide continuous learning through new data adaptation and enhanced contextual understanding.
Use Cases of AI Question Maker
E-learning and EdTech
E-learning is an industry that could benefit the most from usage of advanced question generator.
For educators, its capabilities can be applied to making quizzes or preparing examination papers. Question generation AI tool is good at providing different types of question (general, special, alternative, multiple choice, etc.), basing on studying program or materials (which is easily achieved through tool’s initial settings).
Silk Data successfully finished the project regarding AI usage for quiz making. The system is based on analysis of user materials containing books and articles from the curriculum in both German and English. Questions are generated with the usage of Azure OpenAI API, the same used in ChatGPT. Additionally, the tool was reinforced with the ability to paraphrase questions and answers.
At some point, intelligent AI-based question generation can also be used for social life in schools (for example, as psychological or future career survey generator).
For students, such AI tools can be extremely helpful when it comes to essay writing or self-control.
Answering research questions is one of the many good ways how people can prove that they have comprehended the subject, and AI is helpful in quick generation of them.
Recruitment and HR
One of the ways how companies understand whether the candidate fits them or not is through asking relevant questions.
Human resources specialists and recruiters can spend hours for creating a list of interview questions, and AI appears to be extremely helpful.
An AI tool can be customized for candidate resume screening with further question generation regarding its most significant points.
For example, the solution developed by Silk Data provides a combination of ChatGPT integration and additional frameworks regarding data processing and user interaction. The tool was implemented into company’s ecosystem to meet data security and compatibility issues. Moreover, we provided comprehensive technical documentation for quicker onboarding of the HR department team.
The result of the tool’s work is demonstrated on the following screenshots.
Through that, the recruitment process is severely optimized thanks in no small part to automation in candidate interview preparation processes.
SEO and Marketing
AI-based question generation is also a beneficial option for marketers and SEO-specialists as it helps to cover several tasks:
- Content planning.
Content creators and SEO specialists can input massive text research and materials regarding any topic, and the AI model can provide relevant question. These questions can be used for content TA creation or define the aspects that should be discovered by certain article or social media post.
- FAQ sections creation.
Frequently asked questions are one of the most used sections of website pages. This field allows users to find the information that they couldn't see on the main body of the page. FAQ generation demands additional effort from content makers, so it can be efficiently delegated to AI.
- Interactive content generation.
Interaction through content is an efficient way of increasing users' satisfaction and commitment. AI models can be successfully used for generating questions for quizzes, pols or surveys increasing the time users spend on company’s web resources.
Social Media
The social media industry can also benefit from AI question generation, primarily, through interview/podcast/report preparation process optimization.
Social media specialists and journalists spend days and weeks on research regarding particular topic, occasion or person, all for writing proper questions. Delegating the task to AI significantly increases efficiency and speed of a preparation process, and the interviewer gets unique and relevant questions to ask.
Benefits of AI Question Generation
More than half of educators see AI as a positive force in education, and 73% of students agree that chatbots help them learn faster, according to Quizlet.
Improved Data Collection
Usage of AI in question generation can be beneficial from the point of optimized data collection. Questions based on AI-powered analysis can open the aspects that businesses could have neglected.
Moreover, the research made by Forbes in November 2023 demonstrates that 58% of marketers using generative AI claim that ‘they have achieved increased performance’ of their departments thanks to streamlined data collection and analysis.
Enhanced Content Creation
AI-based question generators are capable of optimizing content creation processes. Interactive content generation, marketing, business and educational planning or personalized social media marketing campaigns – these are just a few of fields that can benefit from usage of AI.
Cost Reduction
One of the main reasons why business applies to AI implementation is cost savings. In early 2024 Gartner interviewed more than 800 business leaders who reported that generative AI usage ended up in average 15% cost reduction along with several more benefits (such as revenue increase and much more).
It is mostly achieved through optimization in working processes, as, for example, specialists spend less time on building question regarding certain topics. The same Gartner research claims that the average productivity increase is around 20-25%.
Speed and Questions’ Uniqueness
The fact that the questions are generated basing on the materials provided by the user (which means that the materials were accurately selected) ensures the highest possible uniqueness of the questions, as they were not built through simple Internet surfing.
This feature along with enhanced flexibility regarding question types leads to the capability of generating dozens of relevant and unique questions in mere minutes.
Worth noticing that it’s always better to use specially customized AI tool instead of applying to open-source models, such as ChatGPT. The main reason is that ChatGPT and its analogues use information from the massive Internet databases which in many cases can’t be efficiently applied to particular task. At the same time, private AI tool can be easily set for working on certain user materials which ensures the highest accuracy and uniqueness.
Conclusions
AI-powered question generation is revolutionizing the way businesses, educators, and marketers approach their workflows. By automating the creation of relevant, unique and context-aware questions, AI not only saves time but also enhances the quality of data collection, content creation, and user engagement.
If you're ready to harness the power of AI and NLP to transform your business processes, share your needs with our top specialists and explore how a custom AI question generator can work for you.
