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  • PPP Projects

    Bridging the global infrastructure investment gap, not just in Thailand. "Large-scale infrastructure projects are always a challenge — whether public, private or PPP — often involving delays, underestimated costs and overestimated benefits. PPP adds another layer of complexity. These projects often take longer to prepare, have higher financing costs than publicly financed projects and require complex alignment of differing public and private interests." Yep. Solution. Start small, generate value, and scale. https://eastasiaforum.org/2024/07/06/bridging-thailands-infrastructure-investment-gap/

  • Hydro Projects

    Queensland's hydro project $4.2 billion over budget and three years over time. "In the report there, it actually said that the former government had a less than one per cent chance of actually delivering this project in the time frame." Australia's Snowy hydro project, $10 billion over budget and seven years over time. Australia's Borumba $14.2 billion hydro project scheduled to start in 2025, prediction... I think you know. While these large-scale hydro plants can use moving water to make huge amounts of electricity, there are serious drawbacks. Solution: small-scale hydro plants. Key benefits are easier to finance, profitable, scalable, use much smaller quantities of water, can operate without heavily affecting river flows, or disturbing the agriculture and wildlife around them. https://amp.abc.net.au/article/104683332#amp_ct=1733566834213&_tf=From%20%251%24s&aoh=17335668154737&referrer=https%3A%2F%2Fwww.google.com

  • Learning AI Capabilities for Real-World Application

    The rise of artificial intelligence has been a powerful paradigm for learning science. There is abundant research on the capabilities of learners for a world with AI, but not on learning AI capabilities for real-world application. By including the problem incubation advantage  into the productive failure (PF) learning design, professionals can learn about AI capabilities at speed and depth to overcome novel problems. PF is a learning design that gives learns opportunities to generate representations and solutions to a novel problem that targets a concept they have not learned yet, followed by consolidation and knowledge assembly where they learn the targeted concept. Compared to an instruction-first approach  (instruction followed by problem-solving), PF focuses on a problem-solving first approach  (problem-solving followed by instruction), which prepares professionals for future learning. Overwhelming research demonstrates the efficacy of PF facilitating conceptual knowledge and transfer over an instruction-first approach. Arguments in favor of PF as a learning design include the activation of prior knowledge, awareness of knowledge gaps, recognition of deep features and far transfer effects. What to how to apply this to your projects? Just complete the contact form on our website.

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