[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.
[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?