Showing posts with label Adult Learning. Show all posts
Showing posts with label Adult Learning. Show all posts

Thursday, December 25, 2025

AI Skills Every Adult Learner Should Build


 

By Simone C. O. Conceição

 

As artificial intelligence (AI) continues to shape industries, education, and everyday life, adult learners must develop not only digital literacy but also AI literacy—the ability to understand, interact with, and make informed decisions about AI systems. These skills are increasingly essential in the workplace, in civic life, and for lifelong learning.

 

This blog post outlines the foundational AI-related competencies every adult learner should build and explains how educators and workforce programs can support them.

 

Why AI Skills Matter for Adult Learners

The rise of generative AI, intelligent assistants, and predictive analytics is transforming how people access information, perform tasks, and communicate. According to the World Economic Forum (2023), AI and big data are among the top emerging technologies, with 75% of companies expected to adopt AI in the next five years. Workers who understand and can use these tools effectively will be better positioned for jobs of the future.

 

AI literacy isn’t just about using ChatGPT—it includes understanding how AI works, recognizing its limitations, and applying it ethically. AI literacy requires a blend of conceptual, practical, and critical thinking skills.

 

Core AI Skills for Adult Learners

1. Understanding AI Concepts. Adult learners should grasp basic AI concepts, such as:

  • What AI is (and isn’t)
  • The differences between machine learning, generative AI, and automation
  • How algorithms make decisions based on data

This foundational knowledge enables learners to evaluate the credibility, purpose, and potential impacts of AI systems they encounter.

 

2. Using AI Tools for Everyday Tasks. Learners should gain hands-on experience with common AI tools:

  • Text generation (e.g., ChatGPT, Grammarly)
  • Image generation (e.g., DALL·E)
  • Voice-to-text or language translation apps (e.g., Otter.ai, Google Translate)
  • Search and productivity tools powered by AI (e.g., Copilot, Google Assistant)

 

These tools can support learning, communication, accessibility, and workplace productivity.

 

3. Interpreting and Analyzing AI Outputs. It’s essential to evaluate the quality and limitations of AI-generated content:

  • Does the AI response make sense?
  • Is it factually accurate?
  • What biases might be embedded?

 

This skill helps learners become informed consumers and avoid misinformation or overreliance on automation.

 

4. Understanding Data and Privacy. Since AI relies on data, learners should know:

  • What types of data are collected and used
  • The risks of sharing personal data with AI systems
  • How to adjust privacy settings or choose ethical tools

 

Data literacy and informed consent are central to learner autonomy and digital rights.

 

5. Ethical Awareness and Responsible Use. Adult learners should reflect on:

  • When and how to use AI in ways that align with ethical, academic, or workplace standards
  • Issues of bias, discrimination, and accessibility
  • The human impact of AI on jobs, privacy, and equity

 

Responsible use of AI is a key component of digital citizenship in the AI era.

 

How Educators Can Support AI Skill Development

To prepare adult learners for an AI-driven world, educators and programs can:

  • Integrate AI tools into course assignments and digital skills training
  • Host workshops on evaluating AI content or protecting digital privacy
  • Foster discussion on AI ethics, workforce impact, and critical thinking
  • Provide access to multilingual and inclusive AI tools
  • Co-create policies with learners on acceptable AI use

 

These strategies support not just skill acquisition but learner empowerment.


Conclusion: Building AI Literacy for Lifelong Learning

AI is transforming the way adults live, work, and learn. By equipping adult learners with essential AI skills—understanding, using, analyzing, and questioning AI tools—educators can help them thrive in a rapidly changing world.

 

The AI Literacy Forum, part of the Adult Learning Exchange Virtual Community, offers a space to continue these conversations. Moderated by Drs. Simone Conceição and Lilian Hill, the forum supports adult educators, learners, and program designers in navigating the ethical, practical, and pedagogical dimensions of AI.


 

References

World Economic Forum. (2023). The Future of Jobs Report 2023. https://www.weforum.org/publications/the-future-of-jobs-report-2023/

 

Thursday, November 27, 2025

The Role of AI in Inclusive Learning Environments


 

By Simone C. O. Conceição

 

As artificial intelligence (AI) becomes increasingly integrated into educational tools and systems, it holds the potential to advance inclusive teaching and learning—if applied with care and intentionality. AI can support learners with diverse needs, streamline accessibility features, and personalize learning pathways. At the same time, it can reinforce inequities if not thoughtfully designed and implemented.

 

This post explores how AI can promote inclusion in adult education, the challenges to be aware of, and strategies educators can use to ensure AI supports equitable learning environments for all.

 

What Is Inclusive Education in the Age of AI?

Inclusive education aims to ensure that all learners—regardless of ability, language, background, or identity—can access and fully participate in meaningful learning experiences. With AI, this vision expands beyond physical accessibility to encompass digital inclusion, personalized support, and equity in learning outcomes.

 

AI tools can help realize this vision by offering assistive technologies, adapting content in real time, and identifying learner needs through data-driven insights (UNESCO, 2021). However, true inclusivity depends not just on access to tools, but on how they are developed, selected, and used by educators.

 

Opportunities: How AI Can Support Inclusion

1. Adaptive Learning for Diverse Needs. AI can adjust the pace, format, and complexity of content based on a learner’s interactions. This is particularly beneficial for adult learners with varying literacy levels, learning differences, or limited prior experience in digital environments (Holmes et al., 2022).

Example: Adaptive platforms like ALEKS or Knewton Alta personalize instruction by identifying learning gaps and adjusting content delivery accordingly.

 

2. Assistive Technologies. AI powers tools like real-time transcription (e.g., Otter.ai), text-to-speech (e.g., Microsoft Immersive Reader), and automated captioning—all of which improve access for learners with disabilities or English language learners.

These tools align with Universal Design for Learning (UDL) principles, which emphasize providing multiple means of engagement, representation, and expression (CAST, 2018).

 

3. Multilingual and Cultural Accessibility. AI-driven translation tools, such as Google Translate or DeepL, can break down language barriers and support culturally diverse learners. Additionally, AI chatbots and voice assistants can be trained in various dialects and languages to offer support beyond the dominant culture.

 

4. Equity Through Predictive Analytics. Learning analytics supported by AI can help identify learners who may be falling behind—based on patterns in engagement or assessment data—and enable early intervention (Ifenthaler & Yau, 2020). When used ethically, this can prevent learners from being overlooked due to implicit bias or lack of visibility in online environments.

 

Challenges and Ethical Considerations

Despite these opportunities, there are risks that must be addressed to ensure AI truly serves inclusion:

  • Bias in Training Data: If AI systems are trained on datasets that lack diversity, they may reproduce stereotypes or exclude underrepresented groups.
  • Privacy Concerns: Collecting sensitive learner data for personalization or analytics raises questions about consent, surveillance, and autonomy.
  • Technology Access Gaps: AI-powered tools often assume stable internet, updated devices, and digital fluency—conditions not all adult learners have.

 

Without intentional design, AI tools can unintentionally amplify exclusion rather than mitigate it.

 

Strategies for Ethical and Inclusive AI Use

Educators, designers, and institutions can take the following steps to promote inclusive AI use:

  1. Evaluate Tools for Bias and Accessibility
    Choose vendors and platforms that are transparent about their algorithms and committed to accessibility standards.
  2. Involve Diverse Learners in Design and Testing
    Co-design AI-enhanced tools with input from learners of different ages, abilities, and cultural backgrounds.
  3. Provide Digital Literacy Support
    Ensure learners have the skills and support to use AI-powered tools confidently and critically.
  4. Ensure Human Oversight
    Use AI as a support—not a replacement—for relational teaching, dialogue, and community-building.
  5. Establish Data Ethics Protocols
    Be clear with learners about what data is collected, how it’s used, and what choices they have in the process.

Conclusion: Inclusion Must Be Intentional

AI is not inherently inclusive—but it can be a powerful tool for inclusion when paired with ethical practice, thoughtful pedagogy, and an unwavering commitment to equity. Integrating AI into education requires thoughtful consideration to ensure it advances equitable learning and protects the rights and needs of all students.

 

The AI Literacy Forum, hosted by the Adult Learning Exchange Virtual Community, offers a space for adult educators to discuss, question, and share resources related to equitable AI integration, moderated by Drs. Simone Conceição and Lilian Hill, the forum welcomes your voice in shaping a more inclusive digital learning future.

 


 

References

CAST. (2018). Universal Design for Learning Guidelines version 2.2. http://udlguidelines.cast.org

Holmes, W., Porayska-Pomsta, K., Holstein, K., Sutherland, E., Baker, T., & Santos, O. C. (2022). Ethics of AI in education: Towards a community-wide framework. International Journal of Artificial Intelligence in Education, 32(4), 575–617. https://doi.org/10.1007/s40593-021-00239-1

Ifenthaler, D., & Yau, J. Y.-K. (2020). Utilising learning analytics to support study success in higher education: A systematic review. Educational Technology Research and Development, 68, 1961–1990. https://doi.org/10.1007/s11423-020-09788-z

UNESCO. (2021). AI and education: Guidance for policy-makers. https://unesdoc.unesco.org/ark:/48223/pf0000377071

 

Thursday, September 18, 2025

Exploring ChatGPT and Other Generative Tools in the Adult Classroom


By Lilian H. Hill

 

Generative AI (GenAI) tools like ChatGPT, DALL-E, or Co-Pilot are quickly becoming part of the everyday digital landscape. Generative AI refers to systems that can produce new content: text, images, audio, video—based on patterns learned from vast datasets. Tools like ChatGPT, Claude, Gemini, and DALL·E can generate human-like responses, summarize complex ideas, or create original examples in seconds. Using these tools, a teacher can quickly produce tailored practice materials, conversational prompts, or real-world scenarios aligned to learners’ needs. For adult educators, these technologies present both exciting opportunities and important questions about how they can—and should—be integrated into teaching and learning. Used thoughtfully, GenAI can become a powerful partner in creating richer, more personalized, and more engaging educational experiences.

 

Why GenAI is Applicable to Adult Education

Adult learners often bring a wealth of prior knowledge, diverse life experiences, and specific goals to the classroom. The table below links ways that incorporating GenAI tools in instruction relates to the principles of andragogy (Adarkwah, 2024):

 

Principle of Andragogy

GenAI Tools in Instruction

Personalized, self-directed learning

Adults typically bring diverse backgrounds, experiences, and learning goals. GenAI tools can tailor explanations, examples, and practice materials to individual needs, supporting self-paced and self-directed learning.

Immediate relevance and application

Adult learners often seek education that directly connects to their careers, personal growth, or problem-solving in daily life. GenAI can generate context-specific resources, simulations, or writing support aligned with real-world tasks.

Flexibility and accessibility

Many adults balance education with jobs, families, and other responsibilities. GenAI offers on-demand tutoring, feedback, and content generation, making learning more flexible and accessible.

Support for diverse skill levels

Adult classrooms can vary widely in terms of prior knowledge, literacy levels, or digital skills. GenAI adapts dynamically, providing scaffolded explanations for beginners and advanced insights for experienced learners.

Enhancement of critical thinking and creativity

Adults often bring rich experiences that allow them to critique and expand on generated outputs. GenAI serves as a partner in brainstorming, reflection, and creative problem-solving rather than just a source of answers.

Lifelong learning orientation

Adult education emphasizes continuous learning beyond formal degrees. GenAI supports this by offering lifelong, personalized, and low-cost opportunities for exploration and skill-building.

 

Practical Classroom Applications

The most effective use comes when instructors frame GenAI as a support tool, not a replacement—encouraging learners to use outputs as starting points for critical analysis, revision, and discussion. Here are six ways educators can integrate generative tools (Storey & Wagner, 2024):

 

1.    Personalized Learning Assistance: Because adult learners bring different skill levels and backgrounds to the classroom, GenAI can serve as an adaptive learning assistant. Learners can ask the tool to re-explain difficult concepts in simpler terms, provide step-by-step guidance, or create analogies that connect with their professional experiences. In addition, GenAI can generate study aids such as practice quizzes, flashcards, and summaries that align with class content, helping learners prepare more effectively.

 

2.    Writing and Communication Support: Adult learners can use GenAI as a tool for drafting and revising various forms of writing, from essays and reports to professional emails. For those learning English as an additional language, GenAI tools can provide grammar corrections, vocabulary suggestions, and conversational practice. Instructors can then guide learners in refining the AI-generated drafts, turning the process into a valuable exercise in editing and communication.

 

3.    Career and Professional Development: GenAI offers practical applications in career-focused education. Learners can use it to draft resumes, cover letters, or professional profiles, which they can then refine through peer review or instructor feedback. The technology can also simulate job interviews by posing realistic, industry-specific questions, giving learners the opportunity to rehearse their responses in a low-stakes environment before entering the real job market.

 

4.    Critical Thinking and Media Literacy: One powerful use of GenAI in adult education is cultivating critical thinking. Learners can be tasked with analyzing AI-generated content to identify potential bias, inaccuracies, or missing perspectives. They can also engage in fact-checking exercises, comparing the AI’s responses against credible sources. These activities not only strengthen critical evaluation skills but also build media and digital literacy, both of which are essential in today’s information-rich society.

 

5.    Creative Applications: Adult learners can use GenAI to brainstorm project ideas, develop proposals, or solve workplace-related problems in innovative ways. The tool can also support storytelling and reflective writing by generating prompts that help learners articulate personal narratives or professional case studies. In this way, AI fosters both creative expression and deeper engagement with course material.

 

6.    Accessibility and Inclusivity: GenAI can play a crucial role in making learning more accessible for adults with diverse needs. It can simplify complex texts into plain language for learners with lower literacy levels or reframe content in different formats, such as visual diagrams or role-play scenarios, to suit various learning styles. This flexibility helps ensure that all learners, regardless of background, can engage meaningfully with course materials.

 

Ethical and Pedagogical Considerations

While GenAI tools offer benefits for adult education, their use also raises important ethical and pedagogical concerns that educators must address thoughtfully (Reihanian et al., 2025).

 

A key issue is accuracy, as these tools are prone to generating responses that may sound authoritative but contain factual errors or incomplete information. These are sometimes referred to as AI hallucinations that can be misleading for students and educators. This makes it essential for both educators and learners to adopt verification practices, such as cross-checking AI outputs with credible sources.

 

Another concern is bias, since AI systems are trained on vast datasets that may carry historical or cultural stereotypes. If left unexamined, these biases can influence the output and potentially even reinforce inequities.

 

Equally important is transparency. Learners need to understand not only the capabilities of generative tools but also their limitations, including how they arrive at certain outputs and why their responses should be treated critically rather than accepted at face value.

 

Finally, assessment integrity presents a pedagogical challenge. Instructors must consider how to design assignments and evaluation strategies that encourage authentic learning while discouraging overreliance on AI-generated content. This may involve clarifying expectations around responsible use, integrating AI literacy into the curriculum, and developing assessments that prioritize process, reflection, and critical thinking alongside final products.

 

Collectively, these considerations highlight the importance of using GenAI in ways that enhance learning without compromising ethical standards or academic integrity.

 

Keeping Humans in the Loop

GenAI should not replace the educator. Instead, it should enhance their role. Teachers remain essential for providing context, fostering critical thinking, and building the human connections that are at the heart of learning. By positioning AI as a co-pilot rather than an autopilot, educators can ensure that technology supports, rather than dictates, the learning process. As tools like ChatGPT continue to evolve, adult educators have an opportunity to shape how they are used in ways that promote equity, creativity, and lifelong learning. The key is to remain curious, informed, and willing to experiment—while keeping learners’ needs and goals at the center of the process.

 

References

Adarkwah, M. A. (2024). GenAI-infused adult learning in the digital era: a conceptual framework for higher education. Adult Learning36(3), 149-161. https://doi.org/10.1177/10451595241271161 

Reihanian, I., Hou, Y., Chen, Y., Zheng, Y.  (2025). A Review of Generative AI in Computer Science Education: Challenges and Opportunities in Accuracy, Authenticity, and Assessment. arXiv. https://arxiv.org/html/2507.11543v1?utm_source=chatgpt.com

Storey, V., & Wagner, A. (2024). Integrating artificial intelligence (AI) Into adult education.  International Journal of Adult Education and Technology, 15(1), https://doi.org/10.4018/IJAET.345921

 

Thursday, June 19, 2025

Demystifying AI: A Beginner’s Guide for Educators and Learners

 


 

By Simone C. O. Conceição

 

Artificial intelligence (AI) is increasingly shaping how we live, work, and learn. Yet for many adult educators and learners, AI remains an abstract or intimidating concept—often viewed as complex, technical, or only relevant to data scientists and tech professionals. In reality, AI is already embedded in the tools and platforms we use every day, and understanding its fundamental principles is now crucial for effective digital participation.

 

This post offers an accessible introduction to AI, examines its relevance to adult education, and outlines key steps for developing AI literacy. Readers are also encouraged to continue the conversation in the AI Literacy Forum, moderated by Dr. Simone Conceição and Dr. Lilian Hill.

 

What Is Artificial Intelligence?

Artificial intelligence refers to computer systems that perform tasks typically requiring human intelligence, such as recognizing speech, analyzing data, or making decisions. A significant branch of AI is machine learning, where systems improve their performance by learning from data over time.

 

One recent development in this space is generative AI, which can produce original content such as text, images, or audio. Tools like ChatGPT, DALL·E, and others are designed to respond to user prompts with information, summaries, visuals, and more.

 

Why AI Literacy Matters in Adult Education

For adult learners and educators alike, AI literacy is becoming as fundamental as traditional digital literacy. As Wolff et al. (2016) emphasize, literacy in a data-driven society requires not only technical proficiency but also critical awareness of how technologies shape access to knowledge, decision-making, and power.

 

Long and Magerko (2020) further define AI literacy as a multidimensional framework involving conceptual understanding, applied skills, and ethical reflection. In educational settings, this means helping learners not just use AI tools but understand how they function, question how they are built, and consider their broader social impacts.

In the context of adult education, AI literacy can help:

  • Empower learners to use AI tools for writing, research, and communication
  • Enable educators to adopt AI for personalized instruction, feedback, and course design
  • Support workforce readiness as AI becomes embedded across industries
  • Foster ethical reflection on privacy, data usage, and algorithmic bias

Rather than replacing human educators, AI can serve as a tool to augment teaching and support differentiated instruction.

 

Key Concepts and Terms

Understanding the following terms provides a foundation for AI literacy:

  • Artificial Intelligence (AI): The ability of machines to perform tasks that typically require human intelligence
  • Machine Learning (ML): A process where machines improve performance through data analysis
  • Generative AI: AI that creates new content, such as writing, images, or audio
  • Algorithm: A set of rules or calculations used by AI to make decisions
  • Bias in AI: Systematic errors in output due to biased data or design flaws

Critically engaging with these terms allows adult learners to move from passive users of AI to informed participants in a data-driven society.

 

Steps Toward Building AI Literacy

Becoming AI-literate doesn't mean becoming an AI expert. It means developing the ability to understand, question, and use AI tools thoughtfully. Here are a few ways to start:

  • Explore AI in action: Try tools like ChatGPT or Microsoft Copilot in a learning or teaching activity
  • Encourage discussion: Create space in classrooms or programs for critical conversations about ethics and AI
  • Integrate AI literacy: Include AI-related concepts in digital literacy, workforce development, and lifelong learning curricula
  • Engage in community learning: Participate in spaces like the AI Literacy Forum to exchange ideas and stay informed

 

Connect with the Community

The Adult Learning Exchange Virtual Community offers a collaborative space for exploring these topics in greater depth. In the AI Literacy Forum, moderated by Drs. Simone Conceição and Lilian Hill, professionals from diverse sectors, discuss how AI is influencing adult learning, share practical strategies, and examine critical concerns such as equity, bias, and data ethics.

 

We invite you to join the conversation, share your insights, and help shape the understanding and application of AI literacy in adult education.

 

References

Long, D., & Magerko, B. (2020). What is AI literacy? Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1–16. https://doi.org/10.1145/3313831.3376727

Wolff, A., Gooch, D., Montaner, J. J. C., Rashid, U., & Kortuem, G. (2016). Creating an understanding of data literacy for a data-driven society. The Journal of Community Informatics, 12(3). https://doi.org/10.15353/joci.v12i3.3275