Before getting students to use AI, it is important to understand their attitude and knowledge regarding this technology. Such insights can be gathered via a pre-course survey asking students what they think about AI generative tools, what they use AI for, and if they think it is useful to integrate the tool into classroom.
Lance Eaton, writer, educator, instructional designer at College Unbound and his team launched an anonymous student survey to study the use of ChatGPT, while involving students in developing AI usage policy. They also thought about creating a credit course in which students can actively explore ChatGPT, and other AI tools.
Adjusting classroom policies is considered among the top priorities of institutions when embracing AI technology. According to Dr. John FitzGibbon, Associate Director for Digital Learning Innovation in CDIL at Boston College, having clear policies regarding AI use brings a layer of transparency and honesty to students. They will be well aware of the specific tasks where AI is helpful or unhelpful; when using AI means cheating; how citation works, and more.
That is, instructors need to first help students identify the capacities and restrictions of AI tools: what they can and can not do. Dr. Fitzgibbon shares a great example of how he involved his students in discovering AI capacities. For each mid-term test question, he provided students with 4 answers (one of which was generated with ChatGPT) and asked them to choose which one is the best. Most students went for the AI-generated option since it was well written with sufficient reasoning and information. It was then he pointed out that this answer is actually bad, due to lack of proper referencing or weak reasoning. By doing this, students are immediately aware of AI limitations and more critical of the AI-generated content. Dr. Fitzgibbon concluded:
“Just be transparent with students about AI. Here it can be an expert for these reasons. It's not good here. And then here's how my expectations of your work has changed. Or, like, here's how you can use ChatGPT in your own work in this course. I've been very clear with students about how ChatGPT should be used, its limitations, its positives, etc.”
Once universal policies and expectations have been established and clearly communicated, students are encouraged to utilize AI tools in content generation processes. At this stage, students are free to explore the capacities of AI in different activities with the help of instructors. But first, they need to learn to produce quality prompts for AI generative tools.
It is true that AI generative tools like ChatGPT can produce anything, from an academic essay, curriculum vitae, to coding script, promotional materials, speeches, short stories, and much more. However, we can’t just simply provide basic prompts then expect AI to deliver well-written products. Getting good writing out of AI requires curation of specific and elaborate prompts, and this should be emphasized and highlighted for students at the beginning.
“Try asking for it to be concise or wordy or detailed, or ask it to be specific or to give examples. Ask it to write in a tone (ominous, academic, straightforward) or to a particular audience (professional, student) or in the style of a particular author or publication (New York Times, tabloid news, academic journal).” – Use ChatGPT to boost your writing
Providing thorough instructions is important, but it is also crucial to let students explore generative AI themselves. Therefore, instructors should make it clear that students don’t have to strictly follow the guidance and have freedom to generate prompts in their own ways. By navigating the use of AI tools, students gradually grasp the “language that ChatGPT is using”, according to Dr. Mollick.
It is easy for AI to create hallucinations or plausible facts, which are completely false content that look convincing. In other words, AI-generated content can be unreliable and students need to establish the ability to critically evaluate these responses.
After students generate content using AI, they should be asked to critically analyze these drafts and check every fact and claim mentioned. This can be done either individually or collaboratively. To make the evaluation process more fruitful, instructors should provide students with a rubric outlining the criteria when analyzing AI-generated content. University of North Carolina outlined a comprehensive set of evaluative criteria, namely:
This self-evaluative step can be turned into a peer or group assessment activity, resulting in meaningful dialogues and diverse insights. Based on these insights and their own evaluation, students proceed to revise the AI draft individually or in groups. Throughout this activity, students are able to develop awareness of AI’s limitations, as well as the necessary skills to critically reflect on the AI-generated content.
The future may well be AI-driven, and it is important to ensure that all students learn how to be effective AI users, with the skills and knowledge to utilize AI to produce the desired outcomes, as well as critically analyze the AI-generated content.
FbF AI resources hub: A collection of resources on AI including articles, use cases, tools, and more that will help you and your faculty embrace AI technology (such as ChatGPT) in every teaching and learning aspect: from course design, assessment, technology adoption, to policy making.
From factory workers to waitstaff to engineers, AI is quickly impacting jobs. Learning AI can help you understand how technology can improve our lives through products and services. There are also plenty of job opportunities in this field, should you choose to pursue it.
Artificial intelligence (AI) is the process of simulating human intelligence and task performance with machines, such as computer systems. Tasks may include recognizing patterns, making decisions, experiential learning, and natural language processing (NLP). AI is used in many industries driven by technology, such as health care, finance, and transportation.
Learning AI is increasingly important because it is a revolutionary technology that is transforming the way we live, work, and communicate with each other. With organizations across industries worldwide collecting big data, AI helps us make sense of it all.
AI engineers earn a median salary of $136,620 a year, according to the US Bureau of Labor Statistics [1]. Professionals in this field can expect the number of jobs to grow by 23 percent over the next decade.
Artificial intelligence is computer software that mimics how humans think in order to perform tasks such as reasoning, learning, and analyzing information. Machine learning is a subset of AI that uses algorithms trained on data to produce models that can perform those tasks. AI is often performed using machine learning, but it actually refers to the general concept, while machine learning refers to only one method within AI.
DeepseekBasic statistics: AI skills are much easier to learn when you have a firm grasp of statistics and interpreting data. You’ll want to know concepts such as statistical significance, regression, distribution, and likelihood, all of which play a role in AI applications.
Curiosity and adaptability: AI is complex and rapidly evolving, so there is a constant need to keep up with new techniques and tools. Those looking to pursue a career in AI should have an insatiable thirst for learning and an adaptable mindset for problem-solving.
The depth to which you’ll need to learn these prerequisite skills depends on your career goals. An aspiring AI engineer will definitely need to master these, while a data analyst looking to expand their skill set may start with an introductory class in AI.
Knowing how to code is essential to implementing AI applications because you can develop AI algorithms and models, manipulate data, and use AI programs. Python is one of the more popular languages due to its simplicity and adaptability, R is another favorite, and there are plenty of others, such as Java and C++.
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A data structure is a specialized format for organizing, storing, retrieving, and manipulating data. Knowing the different types, such as trees, lists, and arrays, is necessary for writing code that can turn into complex AI algorithms and models.
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Data science encompasses a wide variety of tools and algorithms used to find patterns in raw data. Data scientists have a deep understanding of the product or service user, as well as the comprehensive process of extracting insights from tons of data. AI professionals need to know data science so they can deliver the right algorithms.
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This popular subset of AI is important because it powers many of our products and services today. Machines learn from data to make predictions and improve a product’s performance. AI professionals need to know different algorithms, how they work, and when to apply them.
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Along with building your AI skills, you’ll want to know how to use AI tools and programs, such as libraries and frameworks, that will be critical in your AI learning journey. When choosing the right AI tools, it’s wise to be familiar with which programming languages they align with, since many tools are dependent on the language used.
Learn to build AI apps with Tensorflow. Build, train, and optimize deep neural networks and dive deep into Computer Vision, Natural Language Processing, and Time Series Analysis, along with best practices and hands-on experience in one of the most in-demand deep learning frameworks.
Learning on your own and wondering how to stay on track? Develop a learning plan to outline how and where to focus your time. Below, we’ve provided a sample of a nine-month intensive learning plan, but your timeline may be longer or shorter depending on your career goals.
For an overview of AI, try DeepLearning.AI’s AI For Everyone course taught by top instructor Andrew Ng, provides an excellent introduction. In just 10 hours or less, you can learn the fundamentals of AI, how it exists in society, and how to build it in your company.
Content is still king. It’s no secret that solid and engaging articles are a massive factor in driving traffic to websites and generating interest in products or services. As content creators, we must always look for ways to keep up with the increasing demand and maintain top-notch quality. Enter Artificial Intelligence (AI). This innovative technology can revolutionize the way you approach article writing – from how to start writing an article, through research and structure, to polishing your final draft. Intrigued? Let me show you how you can harness the power of AI to speed up your writing process while keeping your content fresh and captivating.
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