{"id":113577,"date":"2026-04-06T21:23:49","date_gmt":"2026-04-06T19:23:49","guid":{"rendered":"https:\/\/industry-science.com\/?post_type=article&p=113577"},"modified":"2026-04-07T19:22:27","modified_gmt":"2026-04-07T17:22:27","slug":"maki-digital-assistant-learning","status":"publish","type":"article","link":"https:\/\/industry-science.com\/en\/articles\/maki-digital-assistant-learning\/","title":{"rendered":"MAKI\u2014A Digital Assistant for Practice-Based Learning"},"content":{"rendered":"

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Learning factories offer expanded opportunities for learning production and design techniques due to a practice-oriented curriculum and a special infrastructure that makes the intersections between production and design visible in a business environment [1]. In most cases, this special infrastructure is a factory simulation with a realistic layout and real machines. In such an environment, learners can gain experience that goes beyond the operation of individual machines. For example, they can design and implement cross-functional processes and observe their impact on business variables. Learning then no longer refers to individual pieces of the puzzle but to the …<\/div>\n

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without<\/td>\n−<\/td>\n29,00 \u20ac<\/td>\n
Digital<\/td>\n−<\/td>\n27,55 \u20ac<\/td>\n
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