KNUST E-Learning Centre reviews self-paced AI course for postgraduate students
The KNUST E-Learning Centre has held a review meeting on the self-paced artificial intelligence course designed for postgraduate students. The meeting brought together leadership of the E-Learning Centre, the School of Graduate Studies and members of the responsible artificial intelligence course development committee to assess progress and agree on final steps ahead of the rollout.
The course ‘Responsible AI for Postgraduate Students’ is expected to introduce postgraduate students to the responsible use of artificial intelligence in research and academic work, at a time when AI tools are becoming more common in universities.
The Director of the KNUST E-Learning Centre, Professor Emmanuel Kofi Akowuah, said the review was necessary to ensure the course meets the needs of students while aligning with graduate school policies.
“We were contracted by the School of Graduate Studies to develop this course, and this meeting is to take a final look at what has been done and what still needs attention,” he said.
The course is designed as a self-paced online programme hosted on the university’s learning management system. It covers basic AI concepts, common misconceptions, ethical use, research integrity, governance issues and the African context.
Dr Henry Nunoo-Mensah of the Department of Computer Engineering, who led the course development, said the goal was to equip students with practical skills beyond the university rather than focus only on exams.
“The emphasis is on helping students understand how to use AI tools responsibly in their work, without undermining academic integrity,” he said. Officials at the meeting discussed how to encourage genuine participation and reduce the risk of misuse, while keeping the course accessible to students from different disciplines.
Professor Michael Poku-Boansi, Director of the School of Graduate Studies, said the course responds to concerns about the growing use of AI in postgraduate research.
“This is about skills, awareness and responsibility. We want students to know what is acceptable and what is not when using AI in academic work,” he said. His deputy, Professor Godfred Darko, added that the course would help standardise understanding of AI use across graduate programmes.
“It brings several training sessions into one structured course that students can complete at their own pace,” he said. Assessment and certification were also reviewed. It was agreed that the course would rely more on continuous feedback and practical engagement, rather than heavy grading, to promote learning.
Dr Yaw Mensah Asare, the School of Graduate Studies Exams Officer, said assessment systems must balance flexibility with credibility.
“There has to be a way to confirm that students have actually engaged with the course, without turning it into a traditional examination,” he said.
The course is expected to be made available to postgraduate students on January 12, 2026, when lectures begin, with further refinements based on early feedback from users.
Published: 29th Jan,2026 Source: KNUST E-Learning Centre