Related to the mapping results
[MP-008]
Access in the online environment resources increase in periods close exams or assessment deadline.
[MP-020]
Students with a satisfatory performance ignore part of the materials in distance courses.
[MP-026]
Older students participate more in forums.
[MP-068]
Students often do not watch the entire videos.
[MP-011]
Engagement in the online environment, as measured by assessment did on the environment.
[MP-012]
Engagement in the online environment, as measured by materials accessed on the environment.
[MP-013]
Engagement in the online environment, as measured by total hits, readings, and postings.
[MP-014]
Engagement in the online environment, as measured by how long students are watching each video.
[MP-017]
Students can be clustered into different groups based on their access or interaction patterns.
[MP-009]
Students who increased or has a high click activity have a higher probability of passing the course.
[MP-028]
Student groups that use more forums tend to have a good performance.
[MP-030]
Students groups that do more replies in forums tend to have a good performance.
[MP-031]
Students groups that init threads in forums tend to have a good performance.
[MP-035]
Successful students are more frequently and regularly participating and engaged in online activities.
[MP-037]
Completing activities or assessment can be used as a predictor of students completing the course.
[MP-040]
It is possible to obtain accurate classification models to predict students’ drop out through the analysis of the students’ interaction.
[MP-051]
Forum can be used as a predictor of students completing the course.
[MP-079]
It is possible to obtain accurate classification models to predict students’ performance through the analysis of the students’ interaction.
[MP-088]
There is a positive correlation between the number of questions students asked to the instructor and their final grade for both courses.
[MP-102]
Comments can be used as a predictor of students performance.
[MP-106]
Student groups that have more posts are more likely to complete the course.
[MP-114]
Students with Negative Self-regulated have negative relation with academic performance.
Requirements raised by instructors
[RQ-01]
Statistics of interactions on video (e.g., access, re-watch, seek).
-------------------- Raised by 2 instructors --------------------
[RQ-16]
Know if the student is watching the video.
-------------------- Raised by 1 instructors --------------------
*[RQ-35]
Provide a course progress bar to students.
[RQ-02]
Identify student access patterns (e.g., login, materials).
[RQ-03]
Identify student performance patterns.
[RQ-04]
Identify student interest patterns on the course.
[RQ-05]
Identify student usage patterns on the forum.
[RQ-07]
Identify student interaction patterns (e.g., materials).
[RQ-08]
Identify student participation patterns on the course.
[RQ-09]
Identify student drop out patterns.
[RQ-10]
Identify student navigation patterns on the VLE.
-------------------- Raised by 2 instructors --------------------
-------------------- Raised by 1 instructors --------------------
[RQ-25]
Know how students navigate among the video lectures.
[RQ-26]
Know how students navigate in the video.
*[RQ-30]
Identify student mood patterns (analysing emoticons).
*[RQ-31]
Identify student learning patterns.
[RQ-03]
Identify student performance patterns.
[RQ-06]
Predict student performance.
[RQ-09]
Identify student drop out patterns.
-------------------- Raised by 2 instructors --------------------
*[RQ-15]
Identify student drop out reasons.
[RQ-17]
Relate both students' navigation and performance.
[RQ-18]
Relate video length and student performance.
-------------------- Raised by 1 instructors --------------------
[RQ-21]
Relate video script and student performance.
[RQ-11]
Identify self-regulated students.
[RQ-12]
Know whether the student has understood the video.
*[RQ-13]
Capture students' reactions to materials.
-------------------- Raised by 2 instructors --------------------
[RQ-14]
Identify pace learning student.
*[RQ-19]
Markers on the video showing where begins each topic.
[RQ-20]
Know which videos (or video segments) the students have liked.
-------------------- Raised by 1 instructors --------------------
*[RQ-22]
Know the backjump reason.
*[RQ-23]
Video's content be interactive.
[RQ-24]
Know in which video segments the students have difficulty.
*[RQ-27]
Know if another material was accessed with the video.
[RQ-28]
Know when students has connection problems.
*[RQ-29]
Identify students' expectations.
*[RQ-32]
Automatic content recommendation to student.
*[RQ-33]
Self-regulated content to student (using tree decision).
*[RQ-34]
Resources for students to evaluate the materials.
*[RQ-36]
Provide achievements to engage the students.
*[RQ-37]
Relate content presentation with student behavior.
*[RQ-38]
VLE show a schedule customized to student.
* Do not taked into account in the visualizations proposed.
[MP-011]
Engagement in the online environment, as measured by assessment did on the environment.
[RQ-04]
Identify student interest patterns on the course.
[RQ-11]
Identify self-regulated students.
Topics:
Students completed the assignments.
Assignments completed by the students.
Questions:
Which students completed the assignments?
Which assignments were completed by the students?
[MP-012]
Engagement in the online environment, as measured by materials accessed on the environment.
[RQ-04]
Identify student interest patterns on the course.
Topics:
Students' access to materials (e.g., videos, ebooks).
Materials most accessed by the students (e.g., videos, ebooks).
Questions:
Which students accessed the materials?
Which materials were most accessed by the students?
[MP-013]
Engagement in the online environment, as measured by total hits, readings, and postings.
[RQ-04]
Identify student interest patterns on the course.
Topics:
Number of student forum accesses, posts, and likes
Questions:
How many student accesses, posts, and likes were there?
[MP-014]
Engagement in the online environment, as measured by how long students are watching each video.
[MP-068]
Students often do not watch the entire videos.
[RQ-04]
Identify student interest patterns on the course.
Topics:
How long the students are watching each video.
Questions:
For how long did the students watch each video?
[MP-017]
Students can be clustered into different groups based on their access or interaction patterns.
[MP-020]
Students with a satisfatory performance ignore part of the materials in distance courses.
[MP-028]
Student groups that use more forums tend to have a good performance.
[MP-030]
Students groups that do more replies in forums tend to have a good performance.
[MP-031]
Students groups that init threads in forums tend to have a good performance.
[MP-035]
Successful students are more frequently and regularly participating and engaged in online activities.
[MP-106]
Student groups that have more posts are more likely to complete the course.
[MP-114]
Students with Negative Self-regulated have negative relation with academic performance.
[RQ-02]
Identify student access patterns (e.g., login, materials).
[RQ-03]
Identify student performance patterns.
[RQ-04]
Identify student interest patterns on the course.
[RQ-05]
Identify student usage patterns on the forum.
[RQ-07]
Identify student interaction patterns (e.g., materials).
[RQ-08]
Identify student participation patterns on the course.
[RQ-09]
Identify student drop out patterns.
[RQ-14]
Identify pace learning student.
[RQ-17]
Relate both students' navigation and performance.
[RQ-18]
Relate video length and student performance.
[RQ-21]
Relate video script and student performance.
Topics:
Relation between students' grades and VLE access.
Relation between students' grades and materials access.
Relation between students' grades and assignments completed.
Relation between students' grades and forum access.
Relation between students' grades and forum posts.
Relation between students' grades and forum replies.
Relation between students' grades and forum threads.
Questions:
What is the relation between students' grades and VLE access?
What is the relation between students' grades and materials access?
What is the relation between students' grades and assignments completed?
What is the relation between students' grades and forum access?
What is the relation between students' grades and forum posts?
What is the relation between students' grades and forum replies?
What is the relation between students' grades and forum threads?
[MP-026]
Older students participate more in forums.
Topics:
Relation between students' age and VLE access.
Relation between students' age and forum access.
Relation between students' age and forum posts.
Relation between students' age and forum replies.
Relation between students' age and forum threads.
Questions:
What is the relation between students' age and VLE access?
What is the relation between students' age and forum access?
What is the relation between students' age and forum posts?
What is the relation between students' age and forum replies?
What is the relation between students' age and forum threads?
[MP-009]
Students who increased or has a high click activity have a higher probability of passing the course.
[MP-037]
Completing activities or assessment can be used as a predictor of students completing the course.
[MP-040]
It is possible to obtain accurate classification models to predict students’ drop out through the analysis of the students’ interaction.
[MP-051]
Forum can be used as a predictor of students completing the course.
[MP-079]
It is possible to obtain accurate classification models to predict students’ performance through the analysis of the students’ interaction.
[MP-088]
There is a positive correlation between the number of questions students asked to the instructor and their final grade for both courses.
[MP-102]
Comments can be used as a predictor of students performance.
[MP-114]
Students with Negative Self-regulated have negative relation with academic performance.
[RQ-06]
Predict student performance.
Topics:
Prediction of students' grades and dropout.
Questions:
What is the prediction of students' grades and dropout?
[MP-008]
Access in the online environment resources increase in periods close exams or assessment deadline.
Topics:
Number of students' accesses per day.
Number of students' accesses per week.
Questions:
How many students' accesses were there each day?
How many students' accesses were there per week?
[RQ-01]
Statistics of interactions on video (e.g., access, re-watch, seek).
[RQ-16]
Know if the student is watching the video.
[RQ-20]
Know which videos (or video segments) the students have liked.
[RQ-24]
Know in which video segments the students have difficulty.
[RQ-26]
Know how students navigate in the video.
[RQ-28]
Know when students has connection problems.
Topics:
Statistics of interactions with video (e.g., play, pause, seek backward, seek forward).
Questions:
What are the statistics of interactions with video (e.g., play, pause, seek backward, seek forward)?
[RQ-12]
Know whether the student has understood the video.
[RQ-20]
Know which videos (or video segments) the students have liked.
Topics:
Videos were understood by students.
Questions:
Which videos were understood by students?
[RQ-10]
Identify student navigation patterns on the VLE.
[RQ-25]
Know how students navigate among the video lectures.
Topics:
Students' navigation patterns on the VLE.
Questions:
What were the students' navigation patterns on the VLE?