AI’s Multimodal Future Is Here. Integrating New AI Capabilities In The Classroom.

AI image generated using Google ImageFX from a prompt “Create an image of a professor training an AI computer chip as if it was a dog in a university classroom.” https://labs.google/fx/tools/image-fx

In my last post, I needed a pep talk. In teaching digital and social media marketing I’m used to scrambling to keep up with innovations. But AI is a whole other pace. It’s as if I’m trying to keep up with Usain Bolt when I’m used to running marathons.

Like the marathon I signed up for in July, November comes quickly. No matter how training goes the start time comes, the horn goes off, and you run. Here comes the Spring semester. No matter the number of AI updates dropped in December I need to show up ready to go in early January.

If I want to make a difference and have an influence on how AI impacts my discipline and teaching, I don’t have a choice. I can relate to what AI expert Ethan Molick said in his latest Substack,

“This isn’t steady progress – we’re watching AI take uneven leaps past our ability to easily gauge its implications. And this suggests that the opportunity to shape how these technologies transform your field exists now when the situation is fluid, and not after the transformation is complete.”

The other morning, when I should’ve been finishing Fall grades, I spent a couple of hours exploring AI updates and planning how I’ll advance AI integration for Spring. Instead of AI bans (illustrated by the Fahrenheit 451 inspired image of my last post), I’m going deeper with how we can train AI to be our teaching friend, not foe.

AI image generated using Google ImageFX from a prompt “Create an image of a professor training an AI computer chip as if it was a dog in a university classroom.” https://labs.google/fx/tools/image-fx
AI image generated using Google ImageFX from a prompt “Create an image of a professor training an AI computer chip as if it was a dog in a university classroom.” https://labs.google/fx/tools/image-fx

NotebookLM opens up teaching possibilities.

A lot of new AI updates came this Fall. One that caught my eye was Google’s NotebookLM. In a NotebookLM post, I explained how I was blown away by its Audio Overview of my academic research that it turned into an engaging podcast of two hosts explaining the implications for social media managers.

I see potential to integrate it into my Spring Digital Marketing course. NotebookLM is described as a virtual research assistant –  an AI tool to help you explore and take notes about a source or sources that you upload. Each project you work on is saved in a Notebook that you title.

These are the various notebooks I’ve used so far for research and the new course notebook.
The various notebooks I’ve used so far for research and for my Digital Marketing class.

Whatever reference you upload or link, NotebookLM becomes an expert on that information. It uses your sources to answer questions and complete requests. Responses include clickable citations that take you to where the information came from in sources.

As a Google Workspace for Education user, uploads, queries, and responses are not reviewed by human reviewers or used to train AI models. If you use your personal Google account and choose to provide feedback, human reviewers may see what you submit. To learn more click here.

Source files can be Google Docs, Google Slides, PDFs, Text files, Web URLs, Copy-pasted text, public YouTube video URLs, and Audio files. Each can contain up to 500,000 words or 200MB files. Each notebook can contain up to 50 sources. Added up NotebookLM’s context window is large compared to other models. ChatGPT 4o’s context window is roughly 96,000 words.

When you upload to NotebookLM, it creates an overview summarizing sources, key topics, and suggested questions. It also has a set of standard documents with an FAQ, Study Guide, Table of Contents, Timeline, or Briefing Doc. An impressive feature is the Audio Overview which generates an audio file of two podcast hosts explaining your source or sources.

NotebookLM as an AI tutor.

I plan on using NotebookLM as an AI tutor for students in my Spring Digital Marketing course. I like the open-source text I’ve been using for years, but the author has stopped updates. The strategic process and concepts are sound, so I update content with outside reading and in-class instruction.

I tested NotebookLM creating a notebook for Digital Marketing course resources. First, I uploaded the PDF of the text. Then, I added website links to six digital marketing websites that I use for assigned readings and in-class teaching. Finally, I added my blog. I plan to show students how to create theirs at the beginning of the semester.

This is my notebook for Digital Marketing. I was impressed with asking it questions that I often get from students about assignments.
This is my notebook for Digital Marketing. I was impressed with the answers it gave to questions I often get from students.

AI may not be accurate 100% of the time, but controlling the sources seems to help and puts less pressure on crafting a perfect prompt. My discipline knowledge knows when it gets something wrong. I tested my Digital Marketing NotebookLM asking questions on how to complete main course assignments such as personal branding blogs, email, SEO, and content audits. I haven’t noticed any wrong answers thus far.

Important note about copyright.

I’m testing NotebookLM in this class because my main text is open source and all the websites I link to are publicly published sites (not behind paywalls). Google is clear about its copyright policy,

“Do not share copyrighted content without authorization or provide links to sites where people can obtain unauthorized downloads of copyrighted content.”

We should set a good example and educate students by not uploading copyrighted books or information only accessible through subscriptions or library databases. Below is my general AI policy for the course.

The policy carves out acceptable and helpful uses of AI while explaining the ways AI should not be used.
This policy carves out acceptable/helpful AI use while explaining ways AI shouldn’t be used.

In completing final reports students will access information behind paywalls such as Mintel reports. They’ll add the information and cite it as they’ve done in the past. The goal isn’t to use NotebookLM to complete their assignments for them. The goal is to give them a resource to better understand how to complete their assignments.

NotebookLM as a study tool.

I see NotebookLM as a positive tool for student learning if used as a study guide, reinforcement, or tutor. It would have a negative impact if used to simply replace reading and listening. What’s missed when you use AI in the wrong way is depicted in an infographic I created for a previous blog post on the importance of subject matter expertise when using AI.

For a website assignment, my course NotebookLM gave a nice summary of the process and best practices to follow. That’s something students often struggle to find in the text and other sources. The assignment requires pulling from multiple chapters and resources. The notebook summary included direct links to the information from various text chapters and digital marketing blogs. I also tested its accuracy with questions about an email assignment and had it create a useful study guide.

This will be so helpful for an assignment that student often miss steps and best practices as it draws from multiple parts of the text.
Answering questions will be helpful in assignments where students often miss steps and best practices that draw from multiple parts of the text and readings.

Students can create audio overviews of podcast hosts talking about a topic drawing from the sources. Impressively, when I asked for an Audio Overview explaining the value of a personal professional blog assignment to students it understood the student’s perspective of thinking blogs are outdated. It began, “As a student, I know you’re thinking blogs are outdated, but personal professional blogs are a great …” The Audio Overview also adjusted the text process for businesses and applied it to a personal branding perspective.

Going beyond Copilot in other areas.

I also plan on students leveraging new AI capabilities in Adobe Express and Google’s ImageFX in multiple classes. Our students have free access to Adobe Creative Suite where new AI capabilities go beyond Firefly generated images. In Express you can give it text prompts to create mockups of Instagram and Facebook posts, Instagram stories, YouTube thumbnails, etc.

Students' ideas will be able to be expressed even better with Abobe’s new text to create AI interface in Adobe Express along with its image creation capabilities with Firefly.
Students’ ideas can be expressed better with the text to create AI interface in Adobe Express along with the image creation capabilities of Firefly.

AI’s multimodal future is here.

That other morning I also dove deeper into new AI multimodal capabilities. It was so remarkable I recorded videos of my experience. I explored new live audio interactions in NotebookLM and created a demonstration of what’s possible with Google’s Gemini 2.0 multimodal live video.

I was blown away when testing the new ability to “Join” the conversation of the podcast hosts in NotebookLM’s Audio Overview. While the hosts explained the value of a personal professional blog, I interrupted asking questions with my voice.

 

Near the beginning, the hosts tell students to write about their unique skills. I clicked a “Join” button and they said something like,

“Looks like someone wants to talk.” I asked, “How do you know your unique skills?” They said “Good question,” gave good tips, and continued with the main subject. Later I interrupted and asked, “Can you summarize what you have covered so far?” They said sure, gave a nice summary, and then picked back up where they left off.

Finally, I interrupted to ask a common student question, “What if I’m nervous about publishing a public blog?” The hosts reassured me saying people value honesty and personality, not perfection. What really impressed me was the hosts answering questions about things not specifically in the sources. They could apply concepts from the sources to understand the unique perspective of a given audience.

Multimodal AI as a live co-worker.

This last demonstration of the new multimodal capabilities of AI is for my own use. With Gemini 2.0 in my Google AI Studio account, I could interact in real time using text, voice, video, or screen sharing.

The video below is a demonstration of what’s possible in live video and conversations with Gemini 2.0 as it “sees” what‘s on my screen. I had a conversation with it to get feedback on the outline for my new five-part AI integration workshop I’m planning this Spring for faculty on campus.

Writing the last two blog posts was time well spent.

Planning what I’ll do in the Spring and writing these last two blog posts has taken me two-three days. Because it was 100% human created there was a struggle and a time commitment. But that is how I learn. This knowledge is in my memory so I can explain it, apply it, or answer questions.

Talking to Gemini was helpful, but it doesn’t compare to the conversations I’ve had with colleagues. AI doesn’t know what it feels like to be a professor, professional, or human in this unprecedented moment. Let me know how you’re moving beyond AI bans and where you’re executing caution.

I have a lot of work to do to implement these ideas. That starting horn for the new semester is approaching fast.

100% Human Created!

Social Media Marketing Is Much More Than Marketing. Public Relations, Advertising, Sales, and Customer Service Are Invaluable To Engagement During Each Buyer’s Journey Stage.

I began college in engineering, switched to another major, and then journalism before finding advertising in undergrad and marketing in grad school. Yet I don’t view those other classes as wasted. I firmly believe that diverse knowledge helped make me a better marketer. The same is true for social media strategy.

Marketing via social media is unique and requires different skills from marketing, advertising, public relations, personal sales, and customer service professionals that can be more relevant to different stages of the buyer’s journey.

Customers’ needs and interests change when they’re in different stages of the buyer’s journey. Social media marketers should create unique content and engage in unique ways during these stages. Yet, the best person for the job isn’t always a marketer.

In your business or organization, you have different people or departments better suited for various content and response depending on buyer stage. Diverse employees and departments are best suited for communicating with and appealing to consumer interests and needs in these distinct stages.

Optimize your social media strategy with appropriate content and engagement from those employees, disciplines, and departments. Distributing social responsibilities to the most relevant people can be more effective and efficient. This often requires alignment of goals and objectives, software integration, and a system to identify, sort, and assign social media tasks across siloed departments.

A cross-discipline approach tailors content and engagement to consumer needs. It also can help scale one-on-one social media engagement spreading out time and costs across department responsibilities, budgets, and staff. To ensure the most appropriate people are creating the content and engagement follow these suggestions for each stage.

Click image to download a template PDF.

Pre-purchase Stage Content, Engagement, and Disciples.

During the pre-purchase stage, B2C or B2B consumers are not actively seeking to buy. They may have a general interest and are simply exploring and learning. Or they may have a problem but have not realized the solution yet. In the pre-purchase stage use social media listening to find people in the market who haven’t purchased. Listen for brand, product, category, competitor, or specific product and service mentions.

  • Marketing and advertising can contribute by creating relevant messages and content. This includes content from followers and reviews. Monitor conversations to engage with marketing-related questions.
  • Public relations can monitor for reputation issues and negative mentions must be managed. PR uses media and influencer outreach to generate earned media awareness.
  • Sales reps create and share valuable content and answer consumer questions to generate leads.
  • Customer service can create satisfied customers who share positive experience reviews and make more purchases turning customer service into marketing.

Purchase Stage Content, Engagement, and Disciples.

During the purchase stage, people are interested in buying and are seeking the best options. They’re looking for value, convenience, special offers, guarantees, and signals that your product or service is the best for their needs and budget. In the purchase stage use social media listening to find people seeking purchase information such as prices, offers, stock numbers, contact information, shipping options, or store hours.

  • Marketing and advertising can help answer questions, and provide additional information related to the product, service, and offers.
  • Public relations create content to educate via media and influencer outreach. PR looks for competitor comparisons and 3rd party endorsements for social sharing.
  • Sales reps in B2C directly interact with customers to facilitate sales. B2B sales reps engage identifying leads to set up appointments and sales presentations.
  • Customer service can respond to any technical and account issues or complications in the purchase process that may prevent a sale.

Post-purchase Stage Content, Engagement, and Disciples.

During the post-purchase stage, people have purchased your product or service but are looking for validation that they made the right decision. In most markets, there are many options and buyer’s remorse may creep in. There may be complications, issues, or hiccups that come with a new purchase. In the post-purchase stage use social media listening to look for current customers seeking help with product usage, problems, and account issues. Also, seek happy customers who share positive product and service experiences.

  • Marketing and advertising can create messages that reassure purchase decisions, share messages of happy customers, and build brand community through offers and loyalty programs.
  • Public relations creates relevant brand and earned media that engages current customers, other stakeholders, and influencers to maintain relationships.
  • Sales representatives can follow up with customers to ensure they are happy with regular interaction while encouraging referrals and additional sales.
  • Customer service can resolve any post-purchase issues to help with retention and loyalty, plus contribute to positive social media comments and reviews.

Social media marketing is more than marketing. Are you missing out by not working across disciplines and organizational department silos?

Customizing listening and response with cross-discipline teams in social media can help scale social media engagement. Meeting different needs of consumers through all stages of the buying cycle can help businesses achieve their overall goals more effectively and efficiently.

Another way to improve your social media content is to consider the right content in the right places. For help see my post “Does The Shoe Fit? How To Make Your Social Media Marketing More Strategic” including a Social Media Content Planning Template.

This Content Was Human Created!