Best Generative AI Tools for Educators

Ah, generative AI. Everybody is using it. Professionals, business owners, students, teachers, you name it! One of the sectors that it has significantly impacted is the education industry. While some teachers and educators like to use ChatGPT to ease their day-to-day tasks, others prefer Google Gemini, while some others may like Claude. Different people, different preferences. According to Statista, the total market size of generative AI in 2024 will cross $36 billion in 2024. It is expected to grow at a CAGR of over 46% to reach $356 billion by 2030.

Generative AI Market Growth 2022 to 2028

Long story short, generative AI is booming and will continue to do so in the future. Consequently, more and more educators and educational institutions are leveraging the power of Gen AI to boost student learning and double down on productivity. In this blog, we will discuss 5 of the best generative AI tools so far that you can add to your tools palette to up your teaching game. Before we start with the list though, let’s first take a sneak peek into the importance of generative AI.

What is the Significance of Generative AI in Education?

A Generative AI or GenAI is an artificial intelligence tool that is capable of generating text, images, etc. based on provided prompts. ChatGPT, Google Gemini, Claude, DALL-E, Ideogram, and Midjourney are some examples of generative AI tools. A generative AI application has 6 principles, which includes data analytics and technology. The following figure shows other GenAI principles:

GenAI Principles

Generative AI is here to stay. It started with the integration of gen AI tools for individual purposes, which has now spurted out to businesses moving with integrating the same into their processes. Therefore, moving forward, it is important to embrace GenAI to solve modern problems in almost all areas, whether programming, education, software development, manufacturing, marketing, and whatnot! 

GenAI is proving out to be a boon for educators who are using it to take care of non-teaching tasks, such as curriculum design, course content generation, assessment generation, and grading. Generative AI helps teachers and educators to: 

  • Automate routine tasks  
  • Bridging knowledge gaps  
  • Deliver personalized learning 
  • Enhance creativity and critical thinking 
  • Improve accessibility  
  • Language translation and tutoring 
  • Provide interactive learning experiences 

Thus, we can say that the importance of generative AI in education is going to keep going upwards in the future as more and more educators and educational institutions embrace the power of AI.

Best Generative AI Tools for Educators

With a projected CAGR of over 37%, the AI market is predicted to expand fast. At present, the market is brimming with all sorts of generative AI tools for education. This include GenAI tools that can create beautiful, mesmerizing images from text, video generation tools to generate impactful, to-the-point videos replete with animation using text, images, or videos, and versatile AI tools to help your students learn better, boost your daily productivity, and make you more creative in teaching. Here is our pick of the 5 best generative ai tools for educators:

Best Generative AI Tools

1. GitHub Copilot

Developer – GitHub 

Since – October 2021

Copilot is a code completion AI tool that is developed by GitHub, the leading developer platform, in partnership with OpenAI. It is a powerful AI-powered programming tool that flaunts a slew of collaborative features and integration with the leading IDEs and code editors, including IntelliJ IDEA, Neovim, PyCharm, Visual Studio, VS Code, and WebStorm. To improve developer productivity and learning, Copilot delivers code snippets, context-based guidance, and explanations.

Despite its strengths, using Copilot requires diligence since it substantially relies on external APIs for suggestions and generated code might require some work. Nonetheless, GitHub Copilot provides support for a wide variety of programming languages and enables faster coding. The AI model powering Copilot is trained on publicly available code from GitHub and other developer platforms. 

The generative AI tool is available to individuals for $10/month or $100/year. For businesses, Copilot for Business is available at $19 per user a month and comes with extra administrative controls and security features. The AI code generation tool is available freely to students who are part of the GitHub Student Developer Pack and developers who maintain leading open-source projects.

GitHub Copilot is Liked for:

  • Enhancing Developer Productivity – Copilot provides intelligent code suggestions and support for multiple programming languages. It comes with powerful autocompletion for commenting and documentation. 
  • Adapting Developer Preferences – It is capable of analyzing and learning from usage patterns, thus able to adapt to individual developer preferences.
  • Fast Prototype Generation – Rapid prototyping and exploration support and context-aware suggestions. 
  • Customization – Comes with a galore of customization options. 
  • Continuous Learning and Improvement –  It improves by continuously learning and adjusting from user preferences.

GitHub Copilot is Disliked for:

  • Code Quality – The code generated necessitates manual review.  
  • Too Much Autocomplete – Might rely heavily on the code completion feature. 

Best Use Cases of GitHub Copilot:

  • Enables developers to be more innovative by providing suggestions of alternative approaches.  
  • Promotes adherence to programming best practices and standards, resulting in enhanced code quality.  
  • Works as an education tool for programmers to comprehend new programming topics. 

2. ChatGPT

Developer – OpenAI 

Since – 2022 

Developed by OpenAI, ChatGPT was the first generative AI to break into the mainstream. It took the world by storm in 2023. Since then, there has been no looking back. Currently powered by GPT-4o, ChatGPT has the remarkable ability to engage in human-like conversations. It can be used across various industries for a slew of purposes. It is a versatile GenAI tool that can produce detailed explanations, generate impactful creative content, answer questions, and assist with technical queries across topics. 

The NLP powering the AI language model receives regular updates, making it a better tool with every update. Despite its strengths, ChatGPT has flaws that include bias and misinformation, and inability to comprehend complex contextual nuances. 

ChatGPT is available freely as well as comes in a premium subscription of $20 a month. While the free version, at present, offers GPT-4o mini, the paid version includes GPT-4 and GPT-4o. It also comes with a Temporary Chat feature that doesn’t save your conversations with ChatGPT, doesn’t use the conversations to train the AI models, and it won’t create or use memories.

Paid ChatGPT AI Model Selection

The paid version of ChatGPT – ChatGPT Plus – also allows you to upload files – including docs, PPTs, and images – provide voice prompts, connect Google Drive and OneDrive, and more.

ChatGPT is Liked for:

  • Versatility – ChatGPT is a versatile generative AI that can be leveraged for a range of tasks, including content creation, image generation (paid), graphs generation, and research work. 
  • Creative Content Creation – ChatGPT is capable of generating good quality content as well as creative suggestions. It can also provide detailed explanations for a wide variety of queries. 
  • Code Generation – Offers a decent level of code generation ability, making programming tasks management better for developers. 
  • Ease of Use – ChatGPT flaunts a simple interface that makes it usable across all skill levels. 
  • API Integration – Provides a great number of integration capabilities with APIs. 
  • Human-Like Conversations – Generates text that is very similar to human language. It can also have human-like conversations. 

ChatGPT is Disliked for:

  • Hallucinating – Instead of saying no to a query that ChatGPT is unable to comprehend, it starts to hallucinate and generate irrelevant results. This might be off-putting at times. 
  • Producing Irrelevant Results – For some AI prompts, ChatGPT might generate irrelevant, wrong, or even biased results. 

Best Use Cases of ChatGPT:

  • Assists executives and writers in brainstorming and overcoming creative blocks with great ideas.  
  • Can create content across different formats, ranging from informative blog articles to marketing material generation. 
  • Excellent for customer support as it can be used to power interactive chatbots for businesses. 
  • Good option to use for research work across a wide array of topics. 

Check out A Teacher’s Prompts Guide to ChatGPT.

3. Gemini

Developer – Google 

Since – December 2023 

Formerly known as Bard, Google Gemini is an immensely popular generative AI tool making huge strides in the AI market. Some believe it to be Google’s response to OpenAI’s ChatGPT, and thus, it comes with a similar chatbot and content generation functionality. Under the hood, it is powered by LaMDA, which is a family of Transformer-based neural language model specialized for dialog. Upon its release, it was available to a limited userbase in the US and UK, but now is available across the globe. 

Google Gemini is Liked for:

  • Developed by Google – Being developed by the tech mogul Google raises the quality bar of Gemini. 
  • Capability to Handle Programming and Software Development Tasks – Comes with a galore of features to assist developers with the day-to-day programming and software development tasks. 
  • Transparent AI Development – Google regularly provides updates about the ethical and transparent development of the generative AI tool. 
  • Free Tier – Google Gemini is available in a free tier, where users, unlike in ChatGPT, can create images. 
  • User Rating System – Comes with a rating system for user responses. 

Google Gemini is Disliked for:

  • Errors – Similar to other generative AI models, Gemini is prone to making mistakes and giving incorrect or offensive information. 
  • Poor Image Quality – Although Gemini can generate images, they aren’t of high resolution or high-end quality. 

Best Use Cases of Google Gemini:

  • Helps in brainstorming ideas for a range of tasks, including programming, marketing, and designing. 
  • Assists in generating detailed code snippets and providing answers to programming-related queries. 
  • Good option for drafting creating writing, such as blog articles and marketing material. 
  • Facilitates learning by helping to ingest complex concepts with detailed explanations. 

4. Claude

Developer – Anthropic 

Since – March 2023 

Meant to be a state-of-the-art AI assistant, Claude is a generative AI tool backed by a family of large language models. In addition to being helpful in performing a plethora of tasks, the GenAI tool has less bias and is highly secure. Compared to the other best generative AI tools on our list, Claude is fairly new to the scene. Nonetheless, it has been able to make a mark with its powerful set of features and intuitive interface. 

The introduction of Claude 3, its latest version, allows the generative AI tool to analyze images and provide output based on the prompt given. It is capable of handling extensive text data processing while managing to engage in fluent, human-like conversations. 

Anthropic Claude is Liked for:

  • Detailed Explanations – Provides elaborate explanations on different topics that are also easy to understand. 
  • Natural Conversations – Has the ability to engage in human-like conversations, making it easy to use. 
  • Continuous Improvement – Facilitates incessant improvement by seamlessly adapting to user feedback. 
  • Polyglot – It can run conversations in a number of languages, including French, German, Italian, and Spanish. Moreover, it provides code generation and learning in a wide range of programming languages. 
  • Automating Workflows – Automates repetitive tasks like emails and reports generation and organizing content. It also automatically summarizes long documents, emails, and reports. Moreover, it can be integrated with existing software and apps using its API. 

Anthropic Claude is Disliked for:

  • Ethical and Bias Concerns – Although Claude is designed to minimize bias, its output may reflect the bias in its training data. 
  • Narrow Domain Expertise – As it is trained in general information, it lacks deep knowledge in specialized areas. 

Best Use Cases of Anthropic Claude:

  • Assists developers in coding tasks across programming languages. 
  • Facilitates learning by providing interactive educational experiences. 
  • Can help with streamlining business processes. 

5. DALL-E

Developer – OpenAI 

Since – January 2021 

DALL-E is considered to be one of the leaders among the AI image generation brethren. It is a cutting-edge AI model that excels in image synthesis. Like ChatGPT, it is also developed by the American AI research firm, OpenAI. Currently in its 3rd main iteration – DALL-E 3 – the GenAI tool has the ability to produce remarkably realistic and detailed visuals. It continues to push the envelope in terms of what can be achieved in image generation using artificial intelligence. 

DALL-E 3 is extremely versatile, capable of producing ultra-high-quality images that range from photorealistic portraits to ethereal landscapes. Unfortunately, access to DALL-E 3 is limited by means of either ChatGPT Plus or via API. For example, Zapier allows you to connect DALL-E to other apps to automate image creation using those apps. 

The latest version of DALL-E introduces many significant improvements over its predecessors. This includes enhanced text-to-image generation, seamless integration with ChatGPT, improved text rendering in images, offering more control over the artistic style and composition of the generated images, and implementation of more robust filters to prevent the generation of explicit, inappropriate, or harmful content. 

OpenAI DALL-E 3 is Liked for:

  • Simpler Prompting – There is no need for detailed prompt engineering in DALL-E 3. It is more intuitive and capable of handling less-detailed prompts effectively, making it accessible to an even wider audience. There is no need to spend so much time crafting extremely detailed prompts to get the job done right. 
  • Excellent Photorealism – Generates images that seem more like photographs or photorealistic images created by an experienced artist rather than AI-generated images. 
  • Preventing Harmful Content Generation – DALL-E is known to be a safe AI image generator. The capability is further enhanced in the latest iteration of the GenAI image generation tool. 
  • Producing Several Iterations – It can produce different variations of the same image with varying details. 
  • The Inpainting Tool – Comes with an inpainting tool that allows users to enhance their existing images. 
  • Developer-Centric Design of the DALL-E API – Although the DALL-E 3 API benefits different professionals, its core features are structured to support development and technical integration. It is designed primarily to provide developers the tools and flexibility they require to incorporate generative AI image generation into their apps efficiently. 

OpenAI DALL-E 3 is Disliked for:

  • No Direct Access – It can be accessed either by using the paid version of ChatGPT or via API. 
  • Costing a Fortune – Depending on the quality and resolution of the image, an image generated using DALL-E 3 can cost anywhere from $0.04 to $0.12. 

Best Use Cases of OpenAI DALL-E 3:

  • Assists in creating stunning virtual worlds. 
  • Empowers content creators to generate attention-grabbing images. 
  • Helps artists and designers to craft novel visual concepts and bring their ideas to life.

Role of Generative AI Tools in Other Industries

Generative AI is transforming a wide range of industries. Let’s look into some of the most important industries that GenAI is transforming:

Applications of GenAI Tools

1. Art and Design

Artists, designers, and visual artists are leveraging generative AI to create compelling and unique designs, illustrations, and visual art. Generative AI tools help them to continue push the boundaries of creativity. Incorporating GenAI in the design process can lead to significant boost in the production of attention-grabbing designs.

2. Creating and Curating Content

Content creators and marketers are integrating generative AI tools into their work to automate content generation and streamline workflows. Using AI for marketing and content generation can significantly reduce content production time, helping content creators and marketers to focus more on high-level strategic tasks.

3. Finance

Finance businesses and professionals use generative AI to analyze and predict market trends and stock movements with higher accuracy. It helps them to optimize investment and trading strategies, resulting in increased probability of earning profits. 

4. Game Development

GenAI tools and platforms help game developers to create game assets, mesmerizing virtual worlds, adapt gameplay based on player behavior, and more. This results in increased player engagement, satisfaction, and overall gaming experience. 

5. Healthcare

Generative AI is making headlines in the healthcare industry by assisting in analyzing medical images, diagnosing diseases, and predicting patient outcomes. It is being used for image analysis to increase accuracy in anomaly detection, leading to timely and correct diagnosis. 

6. Software Development

Generative AI is transforming code creation. It helps programmers and software developers in a variety of ways, including the generation of code snippets, enhance testing, and solving problems faster. Overall, it is helping software developers to code faster while significantly improving code quality.

7. Translation and Localization

By translating text and speech in real-time, generative AI tools are helping to break down language barriers. Consequently, this improves collaboration among people with different ethnicities and languages. GenAI tools can have as much as 95% accuracy in translation, boosting collaboration and understanding.

With the continuous development in generative AI, its applications across different industries will become more detailed and fine-grained. This will continue revolutionizing the way individuals and businesses work and communicate across industries, including the education industry.

The Future of Generative AI

So that completes our list of the 5 best generative AI tools for educators. These are some of the best generative AI tools that are available as of present. The future of generative AI is bright with an immense growth predicted for the artificial intelligence industry. Integrating AI has shifted from novelty to a necessity. Therefore, you need to embrace the marvels of generative AI – and artificial intelligence – to ensure your teaching stays relevant in the ever-evolving landscape of education.

Transform Your Teaching Experience With MeraTutor.ai

MeraTutor.ai is a state-of-the-art AI-powered learning platform that assists teachers to focus on the most important thing they do – teaching. It leverages artificial intelligence to help teachers to create course outlines and content, prompt generation, create student assessment tasks, and more. Contact the sales team today to find out more about how it can help you transform learning experience for your students.

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FAQs

1. What is the best generative fill AI?

Generative fill AI tools are known for their high-quality image generation and user-friendly interfaces. Adobe Firefly, LightX, and YouCam Online Editor are some of the best generative fill AIs in 2024.

2. Is generative AI the future?

Generative AI has surged in business adoption in 2024, especially for automating redundant tasks and content creation. According to expert predictions, generative AI will reach human-like performance in certain tasks by the end of this decade.

3. What is next after GenAI?

The next thing after GenAI might be AI agents. GenAI has transformed content creation and conversational AI. AI agents deliver a wider range of functionalities, making them suitable for practical applications in both business operations and personal endeavors.

4. Can generative AI write good code?

You can use generative AI tools like ChatGPT to generate code, however, it needs to be manually reviewed. This makes the process of software development easier and quicker for developers of all levels.

5. What are the best generative AI tools?

ChatGPT, Google Gemini, Midjourney, DALL-E, Ideogram, Synthesia, and Claude are some of the best generative AI tools.