Category: Artificial Intelligence (AI)

  • Are You Meeting Students Where They Are?

    Are You Meeting Students Where They Are?

    As AI continues to weave its way into our lives, it’s no surprise that high school students are increasingly turning to these tools for college planning. However, our recent study, The AI Divide in College Planning: Students Adoption, Resistance, and Impact, conducted by RNL and TeenVoice, reveals that students aren’t all the same when it comes to AI. Some love it, some are curious but cautious, and some are unsure. Our study identified “Four Faces” of AI adoption among high school students, each with distinct characteristics:

    1. AI Pioneers (33%): These tech-savvy students embrace AI with enthusiasm and trust its capabilities. Representing a significant portion of younger teens, they actively use AI in their college search.
    2. AI Aspirers (33%): The largest group, they are curious but cautious, motivated by the practical benefits AI offers, especially in helping with making scholarship searches, career planning, and college research more efficient. They are prevalent among 15- and 16-year-old teens.
    3. AI Fence Sitters (19%): Uncertain about AI’s role, they rely on traditional methods but are open to compelling evidence. This group, often older teens, requires more information and reassurance.
    4. AI Resistors (9%): Preferring human interaction, they resist AI due to unfamiliarity. However, they are open to learning from trusted advisors like school counselors. This group is more common among Asian/Pacific Islanders and older teens, and in the West and Northeast.

    Overall, the Pioneers and Aspirers tended to be the younger high school students, while those hesitant about using AI in the college planning were more likely to be from the 2025 incoming class. A key takeaway from this study is that if you are not already thinking about how to “wow” potential students with AI tools, you need to start. Similar to how admitted student portals evolved from a novelty to a necessity, intuitive AI tools for college planning will soon become a student expectation.

    Report: The AI Divide in College Planning, image of two female college students sitting on steps and looking at a laptop
    Read the full report

    AI can deliver the 24/7 engagement that prospective students expect

    Consider the potential of AI-powered chat tools or digital assistants that provide instant application status updates, personalized program recommendations, or streamlined scholarship searches. Students expect 24/7 accessibility and seamless navigation throughout the application process and their college experience. Or use AI to add personalized videos throughout your enrollment communication plan. AI can help you identify what is important to individual students and build video content that speaks directly to them like never before.

    In addition, the research clearly shows students still rely on the people in their circle they trust the most—their family, high school guidance counselors, and friends. That’s not at risk of changing anytime soon. AI is an addition, not a replacement. It gives us another way to connect, becoming more important every day. However, as more students move into the AI Pioneer group, integrating AI becomes an essential part of your recruitment mix.

    Understanding how students adopt AI will help you meet their expectations

    Here’s the bottom line: AI isn’t some far-off idea anymore; its already changing what students expect from us. By understanding the “Four Faces of AI Adoption,” you can tailor your engagement strategies to meet students where they are. And embracing AI tools like digital assistants and personalized content creation will not only enhance your university’s appeal but also streamline the study journey and free up time for you to have more real conversations with them.

    Are you ready to embrace the AI revolution in higher education? If you’re new to AI or seeking to enhance your understanding, RNL’s free online course, “AI Essentials for Higher Education Professionals,” is an excellent starting point. Equip yourself with the knowledge and skills needed to navigate this evolving landscape and ensure your institution remains at the forefront of student engagement. Start your AI education today!

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  • New Way to Teach Writing by Incorporating AI – Sovorel

    New Way to Teach Writing by Incorporating AI – Sovorel

    AI is here, and it is here to stay, which means that academia needs to incorporate it so that students learn about AI’s capability and are ready to use it properly. The most complained about issue in writing classes today is that students simply use AI to write their essays for them and, in the process, do not learn anything and use AI improperly. “The Anders 4 Phase AI Method of Writing Instruction,” is able to overcome these issues. This instructional method develops students’ writing skills while teaching AI literacy, which includes critical thinking. Different aspects of this method can also be applied to other courses/assignments. The Anders 4 Phase AI Method of Writing Instruction is a much-needed new way to develop writing in a way that better aligns with the new realities of how many people are already writing with AI.

    Key Components (the four phases):

    1. Foundational Writing Skills Development: instruction and assessment on key aspects of writing such as sentence structure, paragraph structure, transitional sentences, use of personal voice, researching, outlining, thesis statements, and any other needed writing components. Done through: multiple-choice, fill-in-the-blank, and short in-class writing.
    2. Understanding of Different Essay Types: instruction and assessment on key aspects of different essay types done through multiple-choice, fill-in-the-blank, and short in-class writing
    3. Prompt Engineering Development: instruction and assessment on prompt engineering using an advanced prompt formula, the ability to create effective prompts for AI to generate good essays that have proper formatting, student voice, and accurate information. Evaluated via multiple-choice, fill-in-the-blank tests, and in-class writing of prompts and additional drafting.
    4. Use of AI for Writing with Full Personal Accountability: assessment on specific essay creation done via student submission of essays developed through the use and assistance of AI. Additional in-class exams on key contents and periodic student presentations on created essays (to help ensure student accountability of knowledge integration).

    Key Benefits:

    • Develops students’ foundational knowledge of writing and ability to create multiple essay types
    • Eliminates issues with students inappropriately using AI to write essays without fully understanding writing components
    • Reduces instructors’ stress/anxiety in feeling the need to run AI detection tools (no longer needed)
    • Helps to directly develop students’ understanding of effective writing while simultaneously developing their critical thinking, AI literacy, and ethical AI use skills

    A much more detailed description of this method is available through the Sovorel Center for Teaching & Learning YouTube educational Channel:

    For an even more detailed informational article on The Anders 4 Phase AI Method of Writing Instruction, you can go here: https://brentaanders.medium.com/the-new-way-to-teach-writing-1e3b9a14ef64

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  • AI and College Planning: The Four Types of Students

    AI and College Planning: The Four Types of Students

    How different students navigate college planning

    Let’s talk about how students really tackle college planning. Forget the stereotypes about Gen Z being glued to their phones or allergic to human interaction. Our latest research reveals something more interesting: there isn’t just one type of college searcher anymore.

    In our recent research with TeenVoice we identified four distinct personalities in how students approach their college planning, especially when it comes to using AI tools. And trust me, the results might surprise you!

    Meet the cast of characters

    First are the AI Pioneers – your early adopters who aren’t afraid to try new things. They’re all over college websites (62% of them use them!), but here’s the kicker: they still heavily rely on counselors (46%) and family input (48%). These students aren’t replacing human connection with technology; they combine both. They’re natural experimenters, comfortable jumping between digital and traditional resources to find what works best for each task.

    Then there’s the AI Resistors. Despite their name, these students aren’t living under a rock – they’re actually the most likely to use counselors (55%). They’re old school in the best way possible, preferring face-to-face conversations over digital solutions. They are the “let’s grab a coffee and talk about it” crowd. For them, learning is deeply personal and relationship-based.

    The AI Aspirers are our “interested but cautious” group. They’re spread evenly across their resources – about 40% use college websites, counselors, and social media. They’re curious about AI but haven’t fully embraced it yet. Think of them as methodical learners who want to understand all their options before diving in.

    Finally, we have the AI Fence Sitters. These students are taking a more minimal approach across the board. They use college websites (40%) and family advice (38%), but they’re less likely to engage with any resource intensively. They might be overwhelmed by choices or still finding their preferred learning style.

    The bigger picture: it’s about learning styles, not just tools

    Here’s what makes these personas so fascinating: they’re not just about technology preferences. They reveal fundamental differences in how students learn, process information, and make decisions. The AI Pioneer isn’t just tech-savvy; they’re likely an active learner who thrives on exploring multiple information channels. The AI Resistor isn’t anti-technology; they’re probably someone who processes information best through dialogue and personal interaction.

    Remember when we started talking about differentiated instruction in education? How we recognized that students learn differently and need various pathways to success? Well, these personas are telling us the same story about college planning. Some students will grasp complex college decisions better through AI-powered interactive tools, while others need face-to-face conversations to process the same information, and that’s OK, or it should be!

    The evolution of college planning

    This isn’t just about adding new tools to the toolbox. It’s about recognizing that the college planning journey itself looks different for each student. An AI Pioneer might start their search with ChatGPT, bounce to a college’s website, then validate their findings with a counselor. An AI Resistor might begin with a counselor meeting, use that framework to explore college websites, and rely on family discussions to process what they’ve learned.

    Think about it: we’ve spent decades in K-12 education adapting to different learning styles – visual, auditory, kinesthetic, you name it. Isn’t it time we brought that same thoughtful approach to college planning? Our research suggests students are already naturally gravitating toward their preferred learning styles. Now it’s our turn to meet them there!

    Supercharge your enrollment outreach with AI

    RNL’s enrollment experts can help you understand how AI can help you engage more students on a personalized level at a scale your institution can handle. Ask for a complimentary consultation and we’ll discuss the best ways to add AI to your toolkit.

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    What does this mean for institutions?

    Understanding these personalities is only helpful if it leads to action. So, how can colleges adapt?

    1. Mix it up, but keep it human

    Every group, even the most tech-savvy, still values real human connections. AI can be useful, but it shouldn’t replace personalized outreach. Offer multiple ways for students to engage—AI chat tools, live Q&A sessions, and good old-fashioned phone calls.

    2. Optimize college websites for different search styles

    Since college websites are a top resource across all groups, they must serve different user preferences. Consider interactive AI tools for Pioneers and Aspirers while ensuring Resistors and Fence Sitters can easily find traditional contact options.

    3. Equip counselors with the right tools

    Counselors are still a major influence, especially for Resistors. Provide them with updated guides, resources, and training so they can confidently support all types of students—whether AI-driven or not.

    4. Keep families in the loop

    Parents remain a critical influence in college decisions. Institutions should create family-friendly resources that explain AI tools while reinforcing the importance of personal conversations.

    5. Offer AI as an option—not a requirement

    Some students love AI, and some won’t touch it. The key is providing flexibility. Let students decide how they engage rather than pushing AI as the default solution.

    The bottom line

    College planning isn’t one-size-fits-all (if it ever was). Some students will embrace AI, while others prefer traditional methods. The most successful institutions will be those that respect these differences, offering flexible pathways that meet students where they are—not where we think they should be. Because, at the end of the day, college search is personal. Whether students chat with AI, sit down with a counselor, or lean on family advice, what truly matters is that they feel supported in finding the right fit.

    Click for larger size

    Learn more in our webinar

    Be sure to watch our webinar, The Four Faces of AI In College Planning, where we will dive into these personas and what we have learned about them. During our session, we will discuss how to:

    • Identify and understand student personas: Gain practical insights into the four distinct student personas.
    • Optimize AI tool strategies: Develop actionable strategies to effectively integrate AI tools in college planning, tailored to meet the needs and preferences of each student persona, ensuring maximum engagement and support.
    • Enhance communication and support systems: Learn how to implement communication and support systems that resonate with each persona, utilizing a blend of digital outreach, peer interaction, and traditional counseling to create a comprehensive support environment.

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  • Use of AI in Industries and Organizations: 2025 – Sovorel

    Use of AI in Industries and Organizations: 2025 – Sovorel

    AI skills are now needed by all students in every field and organization. This document focuses on the top ten industries/organizations, explains how AI is already being used in those fields, and breaks down the AI skills and subskills needed by all students.

    AI Literacy is an imperative that all students need to develop in order to be more competitive and effective in the workforce, to enhance their own learning, gain greater access to information, improve their research capabilities, and be better citizens with resistance to deepfakes and digital propaganda. This isn’t a hyperbally or future concern; this is the reality of today. “Use of AI in Industries and Organizations: 2025” is an original document created by the Sovorel Center for Teaching & Learning and written by Director Brent A. Anders, PhD. Its purpose is to help all of academia see and understand the real need for AI Literacy and specific AI skills for all fields.

    PDF download: Use of AI in Industries and Organizations: 2025 (3.1MB)

    In an effort to help all of academia and the rest of the world, this document is licensed under a Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0) so that it can be fully used by others.

    Suggested Citation:

    Anders, B. (2025, March). Use of AI in industries and organizations: 2025. Sovorel Center for Teaching & Learning. https://sovorelpublishing.com/index.php/2025/03/02/use-of-ai-in-industries-and-organizations-2025

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  • A Year of AI-Powered Progress: RNL’s Product Evolution

    A Year of AI-Powered Progress: RNL’s Product Evolution

    The last year has been one of significant strides for RNL. We embarked on a journey to enhance our existing tools, aiming to provide our partners with even more powerful and effective solutions. This commitment has driven us to develop a suite of AI-powered tools designed to strengthen your connections with students and donors.

    A focus on data-driven decisions and user-friendly solutions

    Our primary goal was to create AI tools that are not only secure but also user-friendly and insightful. We aimed to provide you with a comprehensive view of your data, empowering you to make informed decisions and develop winning strategies. We understand the importance of ease of use, ensuring that our tools are accessible to everyone, regardless of their technical expertise.

    Key achievements: RNL Insights, Compass, and RNL Answers

    • RNL Insights: This AI-powered data management platform revolutionizes how you work with your data. By integrating data from various sources, including your enrollment CRM, financial aid modeling tool, and marketing analytics, Insights provides a unified view for informed decision-making. Its intuitive conversational interface allows you to ask questions and receive immediate answers, uncovering valuable insights you might have otherwise missed.
    • RNL Compass: Our AI-powered digital assistant, Compass, streamlines communication and enhances efficiency. By automating responses to common student and parent inquiries, Compass frees up your admissions team to focus on more strategic tasks. Integrated with your CRM, Compass provides personalized answers, ensuring each interaction is tailored to the individual’s needs.
    • RNL Answers: This AI copilot leverages your institution’s private data to provide valuable insights and support. Whether it’s crafting compelling marketing messages, assisting traveling admissions officers, or building robust knowledge bases for new team members, RNL Answers offers a secure and reliable AI-powered solution.

    Beyond technology: Empowering partners with AI expertise

    We recognize the importance of responsible AI adoption. To this end, we have introduced AI Governance and Education Consulting Services. These services provide guidance on integrating AI into your institution, including:

    • AI Education: Training leadership teams, faculty, and staff on the fundamentals of AI.
    • AI Governance Frameworks: Assisting in the development of frameworks that ensure ethical and responsible AI usage.

    Collaboration and continuous improvement

    To ensure our solutions remain aligned with your evolving needs, we have established the Leadership AI Council and the Product Advisory Council. These groups, comprised of our valued partners, provide valuable feedback and insights, shaping the future of our AI-powered solutions.

    Looking ahead: A future of innovation

    We have also began migrating some of the outbound communication tools our agents use to deliver your omnichannel outreach services to our new all-in-one platform—RNL Reach. While as a partner, your involvement in transitioning to RNL Reach is very minimal, but you will feel the benefit of the solution because your agents will be able to be more efficient in how they execute your campaigns and provide stronger analytics and reporting. This is the first step to making the new solutions and services we have planned in 2025 possible!

    In 2025, we are committed to building upon the strong foundation we’ve established this year. We will leverage our expertise in consulting, data analysis, and AI to develop innovative solutions that address your unique challenges and help you achieve your goals.

    A note of gratitude

    We extend our sincere gratitude to all our partners for their trust and collaboration. We are honored to work alongside you and contribute to your success. We look forward to a continued partnership in the years to come.

    Discover RNL Edge, the AI solution for higher education

    RNL Edge is a comprehensive suite of higher education AI solutions that will help you engage constituents, optimize operations, and analyze data instantly—all in a highly secure environment that keeps your institutional data safe. With limitless uses for enrollment and fundraising, RNL Edge is truly the AI solution built for the entire campus.

    Ask for a Discovery Session

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  • IBM’s Armand Ruiz Presents Vision for AI Agents in the Workplace

    IBM’s Armand Ruiz Presents Vision for AI Agents in the Workplace

    In a recent presentation to RNL’s AI Leadership Council, Armand Ruiz, Vice President of Product – AI Platform at IBM, shared his vision for the future of work and the role of AI agents in making it more efficient.

    According to Ruiz, AI agents will become a key component of the future of work, enabling tasks to be completed autonomously and freeing up humans to focus on higher-level thinking. “The real promise of AI is in agents, which can actually do work and take action,” he said. “We’re moving into a world where we have multi-agent assistance, where multiple agents work together to achieve a common goal.”

    Ruiz also highlighted the importance of addressing the challenges of security, governance, and compliance in the use of AI agents in enterprise settings. “We cannot allow these agents to leak sensitive and confidential information, delete files or send data to the wrong recipients,” he emphasized.

    In terms of the future of work, Ruiz predicted that most General AI interactions will be in the form of autonomous agents, with 2/3 or 3/4 of the General AI workforce consisting of agents. He cited the example of GitHub, where an agent can automatically fix bugs and issues, freeing up developers to focus on higher-level tasks.

    Ruiz also discussed the potential impact of AI agents on education, citing the example of a tool that can take notes and create an outline from handwritten notes. “We’re moving into a world where AI will develop AI by itself, and AI will develop agents automatically,” he said.

    Regarding the recent developments in deep learning, Ruiz said that the market’s reaction to the release of the DeepSeek model was an overreaction. “We’ve been pushing for open innovation and open source at IBM, and it’s not surprising that someone else has come into the market with a similar model,” he said. “This will actually increase the demand for chips and energy and will unlock more consumption of AI and more use cases.”

    When asked about the potential impact on decisions related to data centers, Ruiz said that the increased demand for chips and energy will lead to a surge in consumption of AI, particularly in inference workloads. “We see a lot of micro inference going on, and it requires more compute than a regular model,” he explained.

    The presentation sparked a lively discussion among the attendees, with several questions and comments from the audience. Ruiz emphasized the importance of addressing the challenges of governance, compliance, working with a trusted partner who understands what you are trying to accomplish with AI, and the need for education and training in the use of these tools.

    As the presentation came to a close, Stephen Drew, COO of RNL and chair of the AI Leadership Council, reflected on the importance of working with companies that understand the unique needs of higher education and are committed to the responsible use of AI. “As institutions like RNL continue to navigate the complex landscape of AI and its applications, we are focused on working with our partner universities to help them establish AI governance frameworks, educate their teams on responsible AI, and incorporating AI into our services so our clients benefit from the efficiencies AI offers along with the higher education expertise at RNL,” he said.

    Learn more about RNL’s AI governance services and how they can support your institution’s AI initiatives here.

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  • AI Literacy Resource for All – Sovorel

    AI Literacy Resource for All – Sovorel

    There is no longer any way to deny that AI Literacy is a must for all people. Regardless of whether you are a student, faculty, young, or old, all of us must continually develop our AI Literacy to effectively function and excel in our AI-infused world. The importance of everyone developing their AI Literacy has been expressed by virtually all nations and international organizations (UN, 2024; UN, 2024b). Additionally, many business organizations have expressed that in order to be competitive in the workforce, AI Literacy is now an imperative employment skill (Marr, 2024).

    The following Sovorel video and infographic (in addition to the above infographic) provide key components of AI Literacy and specifics regarding prompt engineering and using an advanced prompt formula:

    AI Literacy: Prompt Engineering, Advanced Prompt Formula Infographic (this infographic, the main AI Literacy infographic, and many more are also available within the infographics section: https://sovorelpublishing.com/index.php/infographics)

     

    References

    Cisco. (2024, July 31). AI and the workforce: Industry report calls for reskilling and upskilling as 92 percent of technology roles evolve. Cisco. https://investor.cisco.com/news/news-details/2024/AI-and-the-Workforce-Industry-Report-Calls-for-Reskilling-and-Upskilling-as-92-Percent-of-Technology-Roles-Evolve/default.aspx

    Marr, B. (2024, October 24). The 5 most in-demand skills in 2025. Forbes. https://www.forbes.com/sites/bernardmarr/2024/10/14/the-5-most-in-demand-skills-in-2025/

    UN. (2024). Addendum on AI and Digital Government. United Nations. https://desapublications.un.org/sites/default/files/publications/2024-10/Addendum%20on%20AI%20and%20Digital%20Government%20%20E-Government%20Survey%202024.pdf

    UN. (2024b). Governing AI for humanity. United Nations. https://www.un.org/sites/un2.un.org/files/governing_ai_for_humanity_final_report_en.pdf

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  • for Generative AI Integration into Education – Sovorel

    for Generative AI Integration into Education – Sovorel

    I’m very happy and excited to share that I have released a new book that is geared specifically to helping universities, as well as all educational institutions, with the very important topic of generative AI integration into education. This is a vital process that higher education and all places of learning need to address in order to become and stay relevant in a world that so filled with AI. All of us in academia must develop AI Literacy skills in order to fully develop these skills within our students. If educational institutions do not integrate this important process now, then they will not be properly setting up their students for success. This book specifically provides an action plan to help educational institutions be part of the solution and to better ensure success.

    Here is a video trailer for the 9 Point Action Plan: for Generative AI Integration into Education book:

    Table of contents for the 9 Point Action Plan: for Generative AI Integration into Education book that is now available as an ebook or printed book at Amazon: https://www.amazon.com/Point-Action-Plan-Generative-Integration/dp/B0D172TMMB

    TABLE OF CONTENTS

    1. Chapter 1: Institutional Policies
      • Examples
      • Policy Examples
      • Implementation
    2. Chapter 2: Leadership Guidance on Utilization of Generative AI
      • Examples
      • Michigan State University Example
      • Yale University Example
      • Template Example: Leadership Guidance on Generative AI in Education
      • Implementation
    3. Chapter 3: Training
      • Faculty Training
      • Staff Training
      • Student Training
      • Examples
      • American University of Armenia Example
      • Arizona State University Example
      • Other Examples
      • Implementation
    4. Chapter 4: Generative AI Teaching & Learning Resources
      • Examples
      • University of Arizona
      • American University of Armenia
      • The University of California Los Angeles (UCLA)
      • Implementation
    5. Chapter 5: Outside Information/Confirmation
      • Bring in an Outside Speaker, Presenter, Facilitator
      • Examples
      • Obtain Employers’/Organizations’ Views & Ideas on Needed AI Skills
      • Implementation
    6. Chapter 6: Syllabus AI Use Statement
      • Examples
      • Tuffs University Example
      • Vanderbilt College of Arts and Science
      • American University of Armenia Example
      • Implementation
    7. Chapter 7: Strategic Plan Integration
      • Components of a Good Strategic Plan and AI Considerations
      • Environmental Analysis
      • Review of Organizational Vision/Mission
      • Identification of Strategic Goals and Objectives
      • Key Performance Indicators
      • Integration of AI Literacy into the Curriculum
      • Example: White Paper: Integration of AI Literacy into Our Curriculum
    8. Chapter 8: Integration Observation and Evaluation
    9. Chapter 9: Community Outreach
      • Example Benefits of Community Outreach
      • Implementation
    10. Chapter 10: Conclusion and Call to Action
    11. Glossary
    12. References
    13. Additional Resources

    As with all of my books, please reach out if you have any questions. I can be found on LinkedIn and Twitter. I also respond to all comments placed this blog or through YouTube. Please also join the Sovorel Center for Teaching and Learning Facebook page where I post a lot of updates.

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  • The TRAP Test to Spot AI Deepfakes and How to NOT Be Deceived – Sovorel

    The TRAP Test to Spot AI Deepfakes and How to NOT Be Deceived – Sovorel

    Everyone needs to develop AI Literacy skills in order to use AI properly and increase effectiveness/efficiencies, yet another vital part of AI Literacy is to develop critical thinking and awareness skills to avoid being deceived by synthetic data such as AI created deepfakes. Cyber Magazine, an international news source, expressed the importance of this issue by stating:

    Deepfakes are inevitably becoming more advanced, which is making it harder to spot and stop those that are used with bad intentions. As access to synthetic media technology increases, deepfakes can be used to damage reputations, fabricate evidence and undermine trust.

    With deepfake technology increasingly being used for mal-intent, businesses would do well to ensure that their workforce is fully trained and aware of the risks associated with AI-generated content. (Jackson, 2023)

    To address this important issue I have created the TRAP test:

    T: Think Critically. All of us must now have a critical awareness and mindset when using any type of digital media since all digital media can now be easily manipulated and created with generative AI. When encountering any digital text, images, audio, or video we need to realize that it might not be real and it might be trying to manipulate our perception. We need to use the TRAP test to ask further questions to help ensure that we are getting the object truth.

    R: Realistic/Reliable/Reputable: When using digital media or viewing a video, we need to ask ourselves the question “does this seem real and is it likely to occur?” We must also consider whether or not the source of the information is reliable and if it is coming from a reputable source. Is it from an official source, a well known news source, a government agency, or established organization? Always check the source.

    A: Accurate/Authority: Check to see if all parts of the digital media are accurate. As an example, if watching a video, are all parts accurate and consistent. Are there any issues with the eyes, the background, or the light sources? Is it similar and consistent with other videos, images, or text? Additionally, has the media been released or authenticated by an authority? These questions must be verified and answered to help ensure validity and accuracy.

    P: Purpose/Propaganda: When reviewing any digital media we must ask ourselves, “what is the purpose of this media? If the answer is that they are trying to get your money or to sway your vote in an election then you should be extra sure that the information is completely truthful. Ask yourself if the digital information presented is simply just propaganda, full of bias and misleading. Be sure to ask if there is more to the story that you are reading/watching.

    Using the TRAP test and asking these questions will help to prevent everyone from being scammed and/or deceived. Students, faculty, and everyone must develop AI Literacy skills like these.

    All aspect of this defined AI Literacy are important (Anders, 2023), but Awareness and Critical Thinking are key in developing the proper mindset to use the TRAP test. This is something that must be continually developed and used in order to ensure its greatest effectiveness.

    All of us in academia must work to ensure that student and everyone else develop these skills to use AI in the right way and be able to properly spot AI deepfakes and avoid being deceived. Please share this information with colleagues, students, family, and friend; especially the elderly who can at times be even more vulnerable. Together we make a major difference and improve our new world filled with AI.

    A video describing the TRAP test is also available on the Sovorel Educational YouTube channel:

    “How to Spot a Deepfake and NOT Be Deceived” (Anders, 2024)

    Please share your thoughts and comment below:

    References

    Anders, B. (2023). The AI literacy imperative: Empowering instructors & students. Sovorel Publishing.

    Jackson, A. (2023, October 13). The rising tide of deepfakes as AI growth cause concern. Cyber Magazin, Technology: AI. https://cybermagazine.com/technology-and-ai/the-rising-tide-of-deepfakes-as-ai-growth-cause-concern

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  • Using AI in Education is NOT an All or Nothing Endeavor – Sovorel

    Using AI in Education is NOT an All or Nothing Endeavor – Sovorel

    In working with many different instructors around the world, I still run into a lot of teachers and professors that think that using AI and teaching about AI Literacy in the classroom is an all or nothing endeavor. They have the false belief that you either have use AI in every part of your teaching, for every assignments, or you can’t use AI at all. The reality is that there is a full continuum of how an instructor can use and implement generative AI within their classroom.

    The infographic provided in this post is an example of the many different ways that an instructor could use generative AI within their teaching and learning process. To begin with an instructor could simply just talk about generative AI. This is beneficial on a multiple of levels in that for one it helps student understand that the instructor is at least aware of generative AI. Additionally, talking about AI helps students develop their AI Literacy skills which is something that all of us in academia must continually develop within ourselves so that we can can properly develop it within all of our students.

    The continuum of AI integration into learning that proceeds with different levels of use of AI in the classroom. This could be done in a way so that the instructor uses generative AI, such as ChatGPT, in front of the students so that then everyone can then discuss and answer questions about the interaction and the created results. Another way to implement could be that students use the AI in class for different activities. A more advanced way would be for students to have homework assignments where they would have to us the AI in some way to complete a task or as part of a group project.

    A key consideration with AI integration is that every instructor must be knowledgeable about the topic to be taught and their students needs. Instructors need to make purposeful choices as to when to us AI and in what ways. A great tool to help with the creating or redesigning assessments and assignments given that we know have generative AI is the following infographic titled “Redesigning Assignments & Assessment in Age of AI.”

    The SHARE Technique to Assist in Redesigning Assignments and Assessments in the Age of AI

    This infographic is very benifitial in that in addition to helping all with the creation of assignments/assessments in the age of AI, it helps instructors to create good and effective assignments/assessment in general. Faculty need to be purposful and really think about assignments and learning activeities in order to help students learn the material and also develop appropriate AI Literacy skills.

    View this following video for additional information on integrating AI in the classroom:

    What are your thoughts? Please add to the comments so that we can all learn from one another.

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