Built In Matching Question Type

rcarlson8673
Community Member Posts: 37
Hello -
I recently had a customer request a matching type question for their quiz. During their review, they were not satisfied with the standard matching question type that Lectora offers.
In Articulate, there are a few different ways that you can approach matching type questions that I used. They offer "drop-down list - matching" functionality and "drag and drop matching." Is this not the case for Lectora Inspire 17? I tried searching for some video tutorials, but I'm only seeing something from 2013. I tried to use the drag-and-drop question type to create a 1-to-1 relationship between terms and definitions, but that did not work very well for me. It's image dependent it seems? Not very built in. I read an article about the different types of drag-and-drop questions you can make, but I didn't see an example of someone using it for a "definition to term" matching question type. It says one to one, but the example seemed much different than what I have in mind.
Any of you more creative folks have done something like I'm describing? I'm probably not thinking outside the box enough.
Thanks,
Ryan
I recently had a customer request a matching type question for their quiz. During their review, they were not satisfied with the standard matching question type that Lectora offers.
In Articulate, there are a few different ways that you can approach matching type questions that I used. They offer "drop-down list - matching" functionality and "drag and drop matching." Is this not the case for Lectora Inspire 17? I tried searching for some video tutorials, but I'm only seeing something from 2013. I tried to use the drag-and-drop question type to create a 1-to-1 relationship between terms and definitions, but that did not work very well for me. It's image dependent it seems? Not very built in. I read an article about the different types of drag-and-drop questions you can make, but I didn't see an example of someone using it for a "definition to term" matching question type. It says one to one, but the example seemed much different than what I have in mind.
Any of you more creative folks have done something like I'm describing? I'm probably not thinking outside the box enough.
Thanks,
Ryan
Comments
-
I'll never understand why people wish to spend so much time outside their cosy, comfortable boxes ... If the box is too small, just make it bigger instead of jumping out of it completely. It's cold out there ;-)
I'm not sure if I understand correctly what you're trying to achieve. For a Drag & Drop question, you definitely need an image to drop the items on. But you can use a transparent PNG to keep all the rest editable in Lectora. -
This is EXACTLY what I meant. Wow. Thank you. I didn't think about the fact that you could just make the image transparent. How were you able to create the definition text boxes and know that the drop zone would line up ? Did you use the exact x and y coordinates or something to position them correctly? I think I might be spacing how you were able to get those drop zones to align with the text boxes you created. Does that make any sense?
-
The drop zones have to be positioned by x and y but their size and position can be deduced from the textfields marking the zones. Each is 200 x 40. The drop image has the same height so all dropzones are at y = 0. The image is 610 px wide, for 3 dropzones of 200 px + 2 * 5 Pixel for the margin between the definitions. So the exact positions of the dropzones (on the image, not on the page) are:
1: 0,0
2: 205, 0
3: 410, 0 -
Well... you are a much more intelligent person than I am. I have no idea how you were able to figure that out. My brain is wired incorrectly for that kind of critical thinking. I will have to adopt (nicer word for steal) what you've taught me and apply this method to 5 terms and 5 definitions. I think I can figure that out (probably with lots of struggle)!
Thanks,
Ryan -
Categories
- 35.8K All Categories
- 108 ✫ Announcements
- 33.1K Lectora®
- 31.1K Lectora Discussions
- 28.9K Lectora Desktop
- 2K Lectora Online
- 2K Lectora Feature Requests
- 71 Lectora User Groups
- 36 Lectora Accessibility User Group (LAUG)
- 22 ELB Learning Content
- 22 ELB Learning Content Discussions
- 321 CenarioVR®
- 188 CenarioVR Discussions
- 133 CenarioVR Feature Requests
- 41 Rockstar Learning Platform®
- 38 Rockstar Learning Platform Discussions
- 108 CourseMill®
- 108 CourseMill Discussions
- 47 ReviewLink®
- 47 ReviewLink Discussions
- 5 The Training Arcade®
- 5 The Training Arcade Discussions
- 934 All Things eLearning
- 36 eLearning Development
- 546 Learning Management System (LMS) Integration
- 332 Web Accessibility
- 1.2K ♪ The Green Room
- 9 Additional Learning Products