We implemented SQDL in AI and DS classes, and collected the questions posed by students during the SQDL sessions.
Now there was a question, let me come down and collect the question.
It was organized by Handy, an on-demand home services company that will be collecting the questions and tweeting the Betars' answers.
After collecting the questions, the teacher answers all the clarification (muddy point) questions and then addresses all the exploratory questions.
The student council would collect the questions and provide a pool of at least 300 appropriate questions per exam to the lecturers.
We collected the completed question guides and flip chart notes in order to aggregate the completed tables for distribution to attendees.
Information about the patient's diseases was collected through the question: Do you have any chronic diseases, illnesses or disability or any incapability due to accident?
In addition, information about their self-reported health status, collected with the question "how do you feel about your current health status?", was used in the analysis.
Information about long-term illness was collected through the question: "Do you have any long-term illness, problems following an accident, any disability or other long-term health problem?" Replies were phrased "no" (=0) or "yes" (=1).
Because data regarding suffering as seen by family members were retrospectively collected, these question in the MSSE was not used to calculate the total score; therefore, only the first 9 items were used for the present study.
