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Kim Lang

Kim Lang

Instructional Design Leader | Driving Learning Innovation

HomeAll PostsLearning Technology and Instructional Design
November 10, 2025

My Instructional Design Leadership Philosophy

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The Problem

Instructional design teams often struggle with inconsistent quality, unclear expectations, and inadequate professional development support. New designers may receive minimal onboarding, leaving them to figure out organizational standards through trial and error. Without structured mentorship programs, team members miss opportunities to develop critical skills in emerging technologies like AI, translating complex requirements, and advancing their careers.

Quality assurance processes are frequently ad hoc or overly focused on catching errors rather than developing designers’ capabilities. This lack of systematic leadership framework results in high turnover, inconsistent deliverables, longer project timelines, and teams that fail to reach their full potential. Organizations seeking VP-level instructional design leaders need evidence that candidates can build high-performing teams through intentional development and rigorous quality systems.

Description

My leadership framework demonstrates a systematic approach to building and developing exceptional instructional design teams. It articulates a clear leadership philosophy centered on mentorship, continuous innovation, self-awareness, and quality excellence.

The framework includes a structured 12-week onboarding program that introduces new designers to organizational culture, assesses their skills, and guides them to full autonomy. It outlines mentorship strategies across three critical areas: technology adoption (including AI integration), translating complex requirements into accessible learning experiences, and supporting long-term career development.

The centerpiece of the framework is a three-tier quality assurance system with detailed, actionable checklists for designer self-review, peer review, and leadership review. Each tier serves a distinct purpose—from developing critical thinking skills to ensuring strategic alignment—while the checklists provide concrete criteria across content accuracy, instructional design effectiveness, technical quality, accessibility standards, and professional excellence.

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November 5, 2025

AI in HR: Friend or Foe? – Video Training Module

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The Problem

HR professionals are facing unprecedented pressure to adopt AI technologies while managing widespread employee anxiety about job security and the threat of obsolescence. Organizations are implementing AI tools for recruitment, performance management, and employee engagement, but most lack a clear strategy for addressing the psychological impact on their workforce. Without proper guidance, AI adoption leads to resistance, disengagement, quiet quitting, and talent loss. HR leaders need practical frameworks to bridge the gap between technological transformation and human concerns—transforming fear into agency and positioning AI as an enabler rather than a threat.

Description

This 10-minute Synthesia training video provides HR professionals with an evidence-based approach to leading AI implementation with confidence and empathy. The video addresses three critical AI applications in HR (talent acquisition, performance management, and employee experience), explores the psychological barriers of FOBO (Fear of Becoming Obsolete) and technostress, and delivers three actionable strategies for successful adoption. Through relatable scenario-based dialogue, real-world examples, and a concrete 5-day action plan, viewers learn to reframe AI as a task-enhancer rather than job-replacer. The module includes five knowledge-check quiz questions, a customizable employee communication template, and metrics for tracking psychological safety during AI transitions. Designed for HR leaders, business partners, and people managers navigating digital transformation while maintaining trust and engagement.

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November 3, 2025

Integrating AI in the ADDIE Model

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The Problem

Instructional designers struggle to integrate AI tools efficiently into their traditional ADDIE workflow, unsure of which tools to use at each phase and how much time they can realistically save.

Description

This guide maps AI tools and applications to each phase of the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation). It provides specific tool recommendations, time savings data showing 50-90% efficiency gains, and decision frameworks for when to use AI versus traditional methods. The document includes detailed tables comparing traditional timelines with AI-assisted timelines for every major instructional design task.

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November 3, 2025

Integrating AI in SAM

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The Problem

Instructional designers need faster, more agile project delivery but don’t know how to leverage AI to accelerate SAM’s iterative cycles without sacrificing quality.

Description

This guide demonstrates how AI transforms the three-phase SAM model (Preparation, Iterative Design, Iterative Development) from a weeks-long process into a days-long workflow. It shows how to create working prototypes in 1-2 hours using tools like Articulate AI.  The document provides side-by-side comparisons of SAM versus ADDIE with AI integration and recommends when to use each approach.

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November 10, 2025

Screen Capture: Using Party Rock (AI) for Fundraising

Screen Capture: Using Party Rock (AI) for Fundraising
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The Problem

Small nonprofits face significant challenges incorporating artificial intelligence into their fundraising efforts. Many organizations lack the technical expertise, budget, or resources to explore AI tools that could enhance their donor engagement and fundraising strategies. Without accessible, user-friendly AI solutions, these nonprofits miss opportunities to streamline their fundraising communications, personalize donor outreach, and optimize their limited resources. There’s a clear need for straightforward demonstrations that show nonprofit professionals how AI can be practically applied to their fundraising work—without requiring advanced technical skills or expensive software investments.

The Description

This five-minute screen capture video demonstrates how nonprofits can use Party Rock by AWS AI as a practical fundraising tool. Party Rock is Amazon Web Services’ no-code platform that allows users to build AI-powered applications (called “apps”) using simple, conversational prompts—no programming experience required. Users can create custom AI assistants that help with specific tasks by simply describing what they want the app to do in plain language.

The video provides a step-by-step walkthrough showing how nonprofit professionals can use Party Rock to support their fundraising activities. The screen capture format allows viewers to see exactly how to navigate the platform, create an AI application, and apply it to real-world fundraising scenarios such as drafting donor communications, generating campaign ideas, or personalizing outreach messages. This demonstration bridges the gap between AI technology and practical nonprofit application, making advanced tools accessible to organizations with limited technical resources.

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Kim M. Lang © 2025