Inside the Classroom: How Digital Learning Is Shaping the Next Generation of Communications Professionals
By Samiha Fariha
As Digital Learning Day returns on February 26, it offers a timely moment to reflect on how technology is reshaping not just how we work, but how we learn. For those entering the communications profession today, digital fluency is no longer a bonus skill — it’s foundational. From generative AI to data-driven insight, the tools shaping communications practice are evolving quickly, and classrooms are being challenged to evolve just as fast.
To mark the day, we connected with Andrea Tavchar, Ph.D., APR, Professor in Humber Polytechnic’s Bachelor of Public Relations program, whose work sits at the intersection of education, technology, and the future of the communications profession. Andrea is focused on helping students build strong foundational skills while thoughtfully integrating emerging tools into the learning experience.
We spoke with Andrea about how communications education is responding to generative AI, how data and social listening are changing the way audiences are understood, and why trust, ethics, and lifelong learning remain essential as the profession continues to evolve. From balancing technology with human judgment to preparing students for a rapidly changing industry, here is what she had to share.
From your vantage point in PR education, which emerging technologies are most reshaping the communications profession right now and how is the classroom keeping pace with those shifts?
Generative AI is impacting the practice of PR and, by extension, PR education. We know that the PR industry is embracing generative AI in a variety of ways, including improving productivity, predicting trends and risk detection, summarizing data and drafting content, for example. As a result, it’s important that those of us who teach PR are also incorporating the tools in classroom learning. This is complicated because it’s essential that we also teach core PR skills such as writing, content creation and research. The challenge is how to integrate generative AI in the learning without compromising key skill development.
One way that I have integrated AI into the PR learning process is by teaching students about effective prompt writing, having them generate an AI draft and then working on “humanizing” the content to reflect accurate information, cite reliable sources, add human/authentic anecdotes and insights and to write in a conversational tone. The students are then asked to reflect on the experience of using generative AI in the content creation process.
Other faculty are incorporating AI in other ways, often as a tool to edit content after it was written organically. An important skill we’re all teaching is critical thinking to ensure the gen AI content is free from bias, accurately cites sources and is timely and relevant. These are areas where gen AI can still improve. And these are also ways we can tell if students are overly reliant on gen AI outputs rather than their own research and writing skills.
As AI and automation become more embedded in communications work, what broader implications do you see for strategy, creativity, and ethical decision-making in PR?
When consulting my colleagues in industry, they confirm that generative AI is changing the way they work. They talk about using gen AI for productivity improvements, aiding in media monitoring and analysis, and summarizing data, among other things. They also share that gen AI aids in brainstorming and drafting content. However, the overwhelming message I’m also hearing is that the final draft of any content produced must sound human. And, the act of humanizing content is becoming an important skill, moving forward. A colleague of mine, Yvette Elliott, an AI marketing consultant (among many other things), has a useful checklist she shared with my students that recommends incorporating localized references, real-life anecdotes and conversational language into your writing.
From an ethical perspective, it’s important for AI to be used transparently, with PR practitioners expected to disclose any generative AI use. In the process, practitioners should also ensure that the tool maintains data privacy and avoids bias. Some useful tools include the CPRS and CIPR’s Ethics Guide to Artificial Intelligence in PR, which outlines a decision-making framework to assess ethical risks, including bias, misinformation and consent. Other good resources that I came across while studying for my APR last fall include Luttrell and Wallace’s Public Relations and the Rise of AI and the newest edition of David Meerman Scott’s The New Rules of Marketing and PR, which features a chapter on AI for marketing and PR.
In your experience, how has the rise of data, analytics, and social listening changed the way PR professionals should think about audience insight and engagement?
Since the inception of social networking sites in the mid-2000s, we have seen PR practitioners improving their ability to measure their communication outputs. K.D. Paine’s frequently quoted catchphrase – measure what matters – has guided practitioners to track social media analytics and listen to audience sentiment through online comments. And today, practitioners have elevated their expectations of online content performance, striving for online engagement and community building over vanity metrics. The result has been more targeted and personalized communication that is intended to gain stakeholder trust and improve brand reputation. Generative AI is further challenging practitioners who now need to create content for generative engine optimization, which means being findable for generative AI platforms.
With trust under pressure and disinformation becoming more sophisticated, how can technology be used responsibly to strengthen transparency and authenticity in communications?
What I’m reading and hearing from practitioners today points to the need for organizations to focus on both owned and earned content creation. Producing high quality owned content versus vs large quantities of content can build a pipeline of useful, accurate and reliable content that can be scraped by generative AI platforms. Ideally, this ensures that the gen AI results spotlight the organization in a positive way. I’m also learning that we’re seeing a move from SEO to GEO (or generative engine optimization), which encourages us, among other things, to get third-party endorsements for our content (which is valued by the gen AI platforms). This is obviously easier said than done – and it will be interesting to see if the strategies practitioners employ to accomplish this vary from the traditional news releases and influencer partnerships. The bottom line is that businesses themselves need to ensure that quality content exists to strengthen transparency and reinforce authenticity of their brands.
How do you see collaboration between academia and industry evolving as digital tools and platforms continue to change at a rapid pace?
Through the process of studying for my APR last fall, I realized how much the PR industry values communication theory. CPRS’s APR process showed me that practitioners are expected to embrace theoretical frameworks as learning tools, which inevitably contributes to the greater development of PR as a profession, making it a more strategic practice. In turn, it also equips practitioners to be lifelong learners, and better prepared to face rapidly changing technologies.
In turn, I’ve witnessed how much industry values the academic perspective through their support of our PR students. Industry recognizes the importance of PR training in the knowledge and skills required to be a successful practitioner in the PR profession. Theoretical knowledge can lead to higher levels of strategic thinking through effective research and critical analysis. Understanding theory is important to widen options in professional careers. The industry support we see on our student thesis nights speaks to the degree to which academic background enriches the practice of PR.
Looking ahead, what mindset or capabilities will be most critical for communications professionals navigating the next wave of digital transformation?
As long as practitioners embrace life-long learning they’ll be set for success. Whether that means taking a course, signing up for a webinar, reading a blog or subscribing to a Substack newsletter, practitioners need to keep up with the pace of change. Edelman’s Trust Barometer does a great job providing an annual pulse check to the industry, and many practitioners contribute to the collective learning through insightful LinkedIn posts (for example). I think it’s important to be intentional in your learning – find time in your week or month to follow opinion leaders in your sector and keep in touch with colleagues. Attending the annual CPRS conference can be another way to stay up to speed. Staying current is key and that’s something we teach our students. Another way to be of service is to volunteer as a guest speaker or client in one of our classes. It’s a priceless experience for the students and is a good way to keep you on your toes!
Samiha Fariha is the current Communications Chair on CPRS Toronto’s Board, a Senior Associate at Golin’s Toronto office, and a professor in The G. Raymond Chang School of Continuing Education at Toronto Metropolitan University. She brings a strong focus on media relations, content strategy, and digital communications, informed by her experience in both agency and academic settings.











