Video-led module · published
Mental and Physical Meditation
A course on breathing and movement, built in Storyline 360 and published for SCORM 1.2. Filmed demonstrations carry the teaching; the learner chooses their own route through the techniques, and five checks sit between them. You can play the real package below — and watch what it reports while you do.
- Role
- Design, filming, build
- Tools
- Storyline 360, video
- Output
- SCORM 1.2, 15 slides
Play it
The module, and the data it sends.
This is not a recording or a screenshot gallery: it is the published package, running against a SCORM runtime written for this site. Move through a few slides and the panel fills with what an LMS would store — status, session time, and the bookmark that lets a learner resume.
The published SCORM 1.2 package, running here exactly as it would in an LMS.
What the LMS sees
- api
- SCORM 1.2
- session
- not started
- status
- —
- score
- —
- location
- —
- session_time
- —
- suspend_data
- 0 chars
API calls
- Nothing yet — start the course on the left.
How it is built
The course opens on a menu rather than a fixed path. Someone who only wants the breathing techniques can take them and leave; someone working through the whole thing gets the poses in order. Storyline tracks which slides have been visited, so the menu shows progress without a score hanging over it.
Each technique is demonstrated on video instead of described in text — for physical practice, watching the movement is the instruction. The five questions between the sections are there to break the passive stretch of video, not to grade anyone.
- Main menu
- Intro
- Question 1
- Abdominal meditation breath
- Equalizer meditation breath
- Question 2
- Body exercises
- Bridge pose
- Question 3
- Chair pose
- Cat pose
- Question 4
- Grasshopper pose
- Question 5
- Final
What I would do differently
The package reports completion and time, but nothing about which techniques people actually chose — and that is the interesting question here. A handful of xAPI statements, or even a few Storyline variables written into suspend_data, would answer it. That gap is what pushed me towards building the measurement layer in my next module.