Session 5: E-Facilitation Practicum

Bula Vinaka All,

Welcoming you to my fifth and final blog for ED403, focusing on the Efacilitation practicum that we had to participate in as a group, and in my case, I'm with Team Illich.

This session focuses on developing and delivering a module online through the Moodle shell that was assigned to the group. In here, the group will take charge and facilitate learning for the whole PGCTT Semester 1 2024 cohort.

Below is a snapshot of the group's Moodle shell on the course name: GEM401 Gemini AI in Higher Education.

In preparation for this practicum, the group:

1. agreed to work on a topic that is related to any Generative AI tools that are being used in Higher education, which is Gemini AI
2. distributed tasks on the components that need to be discussed and covered in the Moodle shell
3. created a storyboard as part of planning to ensure that everything is highlighted
4. Using the rubric as a guide, the team ensured that all areas were addressed and fulfilled at the highest level

During the e-Facilitation week, the tasks included:

1. The teacher on duty was responsible for the course for the day and ensured that all queries were answered 
2. This included making announcements to guide the students and to remind them of the pending tasks and assessments that need to be completed before the end of the week.

Post e-facilitation, the tasks included:

1. composing feedback to students by using Moodle analytics
2. email a PDF copy of this feedback with the analytics to the students and Course Coordinator.

This practicum has been an exciting and eye-opener especially on the use of different AI tools in higher education and learning about their benefits, challenges, and even limitations of these tools that we, as educators, need to be aware of when teaching and even allowing them to be used for learning.

Source: Twitter by  Helen Hockx-Yu

I wanted to share with you the above picture on future use or even trends in the use of AI tools in  

higher education and also a new article published on the detection of AI tools use in higher education.

From the new paper - "GenAI Detection Tools, Adversarial Techniques and Implications for Inclusivity in Higher Education"

– The overall accuracy of the AI text detectors is 39.5%;

– Adversarial text attacks could reduce this to 22%;

– Only 67% of the text written by the person was labeled as "Real"

Thank You.