DIPPER Lab Contributes to AI Discourse at KNUST College of Engineering Summer School
The Distributed IoT-Platforms, Privacy and Edge-Intelligence Research (DIPPER Lab) joined academic and industry stakeholders at this year’s KNUST College of Engineering Summer School.
The event, which ran under the theme “Leveraging AI for Quality Engineering Education,” focused on exploring how artificial intelligence (AI) can enhance teaching, learning, and research within the engineering discipline.
Dr. Andrew Selasi Agbemenu, Deputy Scientific Director of DIPPER Lab, delivered a practical session titled “Engineering AI Fluency — Best Practices for LLM Integration in Engineering Workflows.”
His presentation shifted the conversation from the rationale behind AI use to its practical implementation in engineering contexts.
Dr. Agbemenu introduced an AI Fluency Framework built around three key pillars: automation, augmentation, and agency.
The framework demonstrated how engineers can integrate AI tools such as ChatGPT and Claude into their workflows for improved research, ideation, and project management.
He also presented the CLEAR prompting framework, Context, Length, Example, Audience, Role, a structured method designed to enhance communication with AI models.
“The clearer your input, the better your output,” Dr. Agbemenu noted, providing faculty and participants with a practical tool to boost efficiency and accuracy in AI-assisted tasks.
DIPPER Lab’s participation in the Summer School reflects its ongoing commitment to advancing AI and IoT knowledge, supporting the development of digital competencies within Ghana’s engineering education ecosystem.
