( en | de | ru )

 

Disambiguation of "Ambrose, G. Alex"

Author of the publication

copydeleteadd this publication to your clipboard
Implicit and Explicit Emotions in MOOCs.

, , , , and . EDM, International Educational Data Mining Society (IEDMS), (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Ambrose Shirima

Ambrose Itika

Lucian Ambrose Msambichaka

Ambrose Dyason Hitchcock

Joseph Ambrose Pagaran

 

Other publications of authors with the same name

Qualitatively exploring electronic portfolios: a text mining approach to measuring student emotion as an early warning indicator., , , , and . LAK, page 422-423. ACM, (2015)Integrated Closed-loop Learning Analytics Scheme in a First Year Experience Course., , , , , and . LAK, page 521-530. ACM, (2019)CCVis: Visual Analytics of Student Online Learning Behaviors Using Course Clickstream Data., , , , , , , , , and . Visualization and Data Analysis, Society for Imaging Science and Technology, (2019)Student Emotion, Co-occurrence, and Dropout in a MOOC Context., , , , , , and . EDM, page 353-357. International Educational Data Mining Society (IEDMS), (2016)Towards transparent and trustworthy prediction of student learning achievement by including instructors as co-designers: a case study., , , , , and . Educ. Inf. Technol., 29 (3): 3075-3096 (February 2024)Engagement vs performance: using electronic portfolios to predict first semester engineering student retention., , , , and . LAK, page 103-112. ACM, (2014)PerformanceVis: Visual analytics of student performance data from an introductory chemistry course., , , , , , , and . Vis. Informatics, 3 (4): 166-176 (2019)Implicit and Explicit Emotions in MOOCs., , , , and . EDM, International Educational Data Mining Society (IEDMS), (2019)Engagement vs Performance: Using Electronic Portfolios to Predict First Semester Engineering Student Persistence., , , , and . J. Learn. Anal., 1 (3): 7-33 (November 2014)Student affect during learning with a MOOC., , , , , , and . LAK, page 528-529. ACM, (2016)