Résumé:
For`a`long`time,`people`have`been`researching`and`designing`ways`to`improve`teaching`and`learning,`
Learning`Analytics`(LA)`and`Educational`Data`Mining`(EDM)`build`on`their`well-established`research`
by`applying`data`science`and`taking`advantage`of`the`rapidly`growing`amount`of`educational`data`to`im-`
prove`the`efectiveness`of`higher`education’s`learning`management`platforms`by`producing`personalized`
insights`into`students’`learning`progress.`
Although`LA`can`be`used`with`the`purpose`of`supporting`both`Learners`and`Educators`in`a`wide`
range`of`areas,`such`as`building`an`intelligent`curriculum`with`adaptive`content`or`even`as`an`alternative`
to`student`end-of-course`assessment.`The`focus`of`this`graduation`thesis`is`to`solve`the`problematic`
of`helping`a`teacher`monitor`his`student’s`understanding`of`course`concepts`and`his`engagement`with`
course`materials.`
When`developing`course`materials`and`exams,`teachers`usually`have`a`hard`time`assessing`what`
course`materials`their`students`are`struggling`in`and`if`they`could`use`some`help`and`instruction,`they`
need`a`Learning`Analytics`Dashboard`(LAD)`that`helps`them`in`this`regard.`In`this`thesis,`we`will`tackle`
this`issue,`going`over`how`and`which`student’s`data`to`collect,`how`to`report`it`to`the`teacher,`and`how`to`
allow`him`to`act`on`these`reports.`
First,`we`will`start`with`a`scientifc`research`on`the`subject`of`monitoring`a`student’s`education`in`
using`Learning`Analytics.`This`research`will`contain`two`(2)`chapters`:`
•`The`frst`chapter`will`look`into`how`the`recent`rapid`advances`in`Information`Technology`together`
with`Data`Mining`and`Education`Software,`has`led`to`the`emergence`of`a`new`research`discipline,`
called`Learning`Analytics,`with`the`goal`of`making`Learning`Management`Systems`(LMS)`more`
responsive`to`the`engagement`of`students.
