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๐Ÿ‡ฐ๐Ÿ‡ท South Korea /Technology

AI training is everywhere, but organizations stay the same. Measure changed work, not course completion

From Dong-A Ilbo · () Korean

Translated from Korean and summarized by DistantNews. Read the original for the full story.

At a glance

Analysis Named sources Context piece
  • Companies are offering generative AI courses ranging from prompt writing and automation to vibe coding, but completion does not guarantee workplace adoption.
  • In a Codepresso assessment of 108 participants at Ho Chi Minh City University of Technology, people who received the same training produced markedly different results.
  • The company recommends hands-on projects, training tailored to individual roles and pre- and post-training skills assessments.

Completing the same AI course does not mean employees will use generative AI in the same way. Even after receiving identical instruction, participants can produce work of sharply different quality, according to examples discussed by IT and AI skills assessment and training company Codepresso.

On May 9, Codepresso held an AI skills assessment challenge for 108 people at Ho Chi Minh City University of Technology in Vietnam. Participants received four hours of identical training in the morning, followed by a three-hour practical assessment in the afternoon. The training and assessment were conducted in English, with participants using the same AI tools and environment.

The assessment covered vibe coding, AI agents and AI modeling. Codepresso said the results varied considerably in both performance and the quality of the completed work. The company presented the exercise as evidence that AI education must address not only what to teach, but also whom to teach and how.

The article argues that lectures on prompt writing or AI functions rarely change work habits by themselves. Employees need to solve problems resembling their actual work and create usable outputs. A marketer might plan a campaign and produce content, while a management employee could organize data and prepare a report. A developer might work with an AI coding tool to build a functioning program.

Codepresso recommends assessing employees before training to identify where they struggle, whether in defining problems, instructing AI, or checking and improving its output. It also says companies should compare skills before and after training rather than rely only on participation, completion rates and satisfaction. Its services include in-person project training, IT and AI e-learning, and personalized study supported by an AI tutor. The company said it has applied a โ€œdiagnosis-training-rediagnosisโ€ structure with some companies, including automotive software firm DreamAce.

About this summary

Originally published by Dong-A Ilbo in Korean. Translated, summarized, and contextualized automatically by DistantNews, with a note on how the source frames the story. Not individually reviewed before publishing. How this works.