August 9, 2026
122 articles
29 topics
29 topics
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Latest articles by Dr. Ravinder Tulsiani
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Dr. Ravinder Tulsiani
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eLearning Design and Development Specialist
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Instructional Design Specialist (4)
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Years (9)
Level 20
May 2, 2026
Learning In The Flow Of Work Is Not A Strategy
Learning in the flow of work can support performance, but it is not a default solution. Modality should follow objectives, capability needs, and real-world constraints.
April 26, 2026
AI Is Exposing A Capability Problem, Not Just A Technology Shift
AI is exposing a critical gap: access and support are not capability. Organizations must rethink how performance is built, supported, and measured to avoid scaling inconsistency.
April 16, 2026
Most AI Literacy Programs Are Designed To Fail
Most AI literacy programs emphasize tools and prompts instead of role-based judgment and clarity, leading to inconsistent use, increased risk, and limited real-world capability.
March 20, 2026
How Generative AI Is Reshaping Workplace Learning
Generative AI is reshaping information work. eLearning must shift from tool training to judgment-building, role-based simulations, and measurable performance impact in AI-augmented environments.
March 15, 2026
Why Agile Transformations Fail Without L&D Rewiring Its Operating Model
Many Agile transformations stall not because of poor frameworks, but because capability does not evolve at the same speed as structure. Organizations introduce squads and sprint cycles, yet execution under pressure remains unchanged. This article outlines a practical approach for L&D.
March 1, 2026
AI Is Reshaping Work Faster Than L&D Is Reshaping Itself
AI is accelerating productivity and compressing entry-level roles, but many L&D teams still treat it as a content topic. To remain strategic, learning leaders must shift from tool training to workforce architecture—designing augmentation pathways, embedding governance, and measuring real performance.
January 26, 2026
Is L&D Hallucinating Its Value In The Age Of AI?
AI can generate learning content at scale. That puts pressure on L&D to prove business value in outcomes: faster time-to-competence, better decisions, and stronger execution—not more courses.
January 8, 2026
Training Smarter In 2026
AI is reshaping L&D by scaling personalization, analytics, and in-workflow support, but success depends on diagnostic rigor: define outcomes, constraints, and behaviors before automating learning.
