Erasmus+: Building Capacity To Use Learning Analytics To Improve Higher Education In Latin America (Lala)

A Large Amount Of Data Is Being Produced By Academic Systems (E.G. Registration, Learning Management Systems And Library). This Data Is Usually Just Stored, But Not Used In Any Meaningful Way. This Data, Though Correct Processes Of Analysis And Reporting, Could Be Used To Improve The Decision Making Inside Academic Institutions. The Field Of Learning Analytics (La) Has Developed Considerably During The Last Years In European Heis. Through The Use Of La Tools, The Management Of Universities And Academic Programs In Europe Has Been Modernized. In The Latin American, There Is A Lack Of Local Capacity To Design And Build These Specialized Tools That Could Be Used To Improve Heis Administration. Currently, Most Decisions In Latam Heis Are Based On Preconceptions Or Feelings. If Data Is Used, It Is In The Form Of Database Reports That Only Provide The Most Basic Level Of Information. Due To The Last Decade Modernization Of Academic Systems In Most Latam Heis, There Is A Large Amount Of Data Being Produced Every Day, But This Data Is Usually Ignored. This Project Seeks To Modernize The Academic Decision Making Process Through Building Local Capacity To Create La To Support Decision Makers At Different Levels In Latam Heis. Building The Local Capacity To The Design, Implementation And Use Of La Tools Will Provide Latam Heis With A Powerful Tool To Solve Not Only One Problem, But Any Problem Where Data Analysis Could Be Used To Inform Decision Makers.