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Anne Geyer

Mexico Trains To Increase Productivity

Anne D. “Andie” Gebert is the organizational development manager for ITU AbsorbTech.

Anne Gebert

June 2016 - TD Magazine

Team Play

Anne Altman is general manager of IBM’s federal business. A recipient of the prestigious Eagle Award, one of the highest honors issued to technology partners serving the federal market, she is responsible for the strategy, direction, development of solutions, and sales.

Anne Altman

Anne Duvaux is a neuroscience leadership coach who was previously HR director focusing on leadership and development as well as coaching. In a past lifetime she was a chartered engineer and is also multilingual having lived in 9 countries and 13 cities. As an Associate Certified Coach with the ICF and almost 25 years’ experience setting up, partnering and leading teams across Europe and Asia in both corporates and early-stage companies, Anne understands how to navigate the challenges of leadership. Today, as a writer and avid reader, she continues to support people around the world with the wisdom of generations of books.

Anne Duvaux

Leslie Anne Weatherly, SPHR, SHRM SCP, is an Assistant Professor and full time faculty member in the Management Program at American Public University System (APUS). She holds an undergraduate degree in Liberal Arts from St. Joseph College, a master's degree in Human Resources Management, and a certificate in Total Quality Management, from Marymount University, and is all but dissertation (ABD) in the General Psychology Doctoral Program at Walden University, with a specialization in online teaching. With more than 30 years of experience in a variety of business settings, to include for profit, nonprofit, and HR outsourcing, she is regarded as an innovative HR/HRD strategic leader, with expertise in organizational effectiveness, change management, project management, executive coaching and mentorship programs, and business research and analytics. Throughout her career, she has demonstrated a commitment to continuous quality improvement and lifelong learning.

Leslie Weatherly

May 2013 - TD Magazine

YouthBuild: Developing a New Generation of Learners, Thinkers, and Leaders

Ann Torry heads up DigitialChalk’s brand and marketing strategy. As a results-driven marketing leader with 19+ years in SaaS learning and HR tech experience, she specializes in strategic communications, demand generation, and pipeline growth. She’s passionate about collaboration, building relationships, and creating exceptional client experiences across the entire customer journey. 

Ann Torry 

“AI won’t replace you, but an instructional designer who uses it wisely just might.” That’s the mindset e-learning professionals are adopting in 2025.To explore where AI fits into modern course development and how experienced IDs are using it to support their daily workflows, we spoke with Anna Poli, a senior instructional designer at iSpring. 5 Practical Ways to Use AI With Instructional DesignAI in learning and development has generated considerable hype, but it has not fulfilled every promise to instructional designers. It didn’t turn SMEs into content geniuses, fully automate course creation, or replace the need for instructional judgment and the human touch.Still, when used strategically, it’s a powerful assistant, saving time, reducing repetitive tasks, and creating space for deeper design work. Here are five areas where it can make a real difference:1. Early-Stage Course PrototypingInstead of starting with a blank slide, AI helps generate a rough outline or suggest slide content based on a topic, script, or meeting notes.“I enjoy using Copilot in PowerPoint paired with iSpring Suite Max as an add-on. It lets me build a course flow from scratch and enhance it with interactivity: quizzes, branching scenarios, or video narration,” says Anna Poli.AI-supported prototyping helps instructional designers test ideas, share early drafts with stakeholders, and refine structure and flow before investing time in full-scale production.2. Training Content RepurposingFor senior instructional designers managing large content ecosystems, AI course creators offer a practical way to develop and adapt courses without starting from scratch. Long-form assets, such as webinars, manuals, or SME recordings, can be transcribed, summarized, and restructured into self-paced modules, interactive microlearning, or quizzes within minutes. With AI, it’s also easier to maintain consistency across formats, identify gaps or redundancies, and adapt content to different roles or learner levels.3. Localizing Content for Global TeamsWhen rolling out training across multiple regions, AI-powered translation tools like DeepL or built-in features in authoring platforms can translate course scripts, assessments, and UI elements with a few clicks, providing IDs with a strong draft before human review.“I usually start with AI-generated translations to get the base version out quickly,” says Anna Poli. “Then, I loop in regional reviewers for cultural nuance and terminology. It saves hours of back-and-forth.”4. Enhancing AccessibilityAccessibility is about giving every learner a fair opportunity to engage, absorb, and apply what they’re learning. But in large-scale learning projects, this is often treated as an afterthought, when time and resources are running low. AI helps shift that work to an earlier point in the process. Instructional designers can:Generate voiceovers using text-to-speech tools while content is being finalized.Add auto-captioning to training videos, making them easier to follow for learners watching without sound.Draft alt text for visuals, diagrams, and screenshots, which can then be quickly refined for context.Adapt reading-level complexity, making content clearer for diverse learner groups.5. Generating Knowledge ChecksGood assessment questions take time to develop, especially when you need to challenge learners at different levels of Bloom’s taxonomy. AI helps by generating draft questions from raw content, such as course modules, transcripts, or SME notes.“Instead of staring at a blank page, I use AI to get five or six rough questions, then fine-tune them based on the learning goals and audience,” says Anna Poli. “These drafts often need refinement, but they provide a starting point that speeds up the process greatly.”Where to Draw the Line: What AI Can’t (and Shouldn’t) DoWhile AI can support many aspects of course development, there are still areas where AI should not be trusted to work solo, even if it seems tempting. To make your teamwork more meaningful, don’t dump these (still very human!) tasks on your AI friend:Define learning objectives without stakeholder input or performance context.Generate culturally sensitive examples or scenarios without review.Replace SME conversations, especially in high-risk or regulated fields.Design ethical decision-making scenarios without nuanced judgment.Catch subtle tone issues in language that could alienate learners.Using AI as a collaborator, rather than a competitor, will definitely give you an advantage. While some teams are still cautious about adopting AI, those who use it thoughtfully are already gaining a strategic edge—and more time for big-picture thinking.

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