( en | de | ru )

 

Disambiguation of "Azcona, David"

Author of the publication

copydeleteadd this publication to your clipboard
user2code2vec: Embeddings for Profiling Students Based on Distributional Representations of Source Code.

, , , and . LAK, page 86-95. ACM, (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.

Jürgen Davids

Volker David

Bodo David

Erich David

Ernst David

 

Other publications of authors with the same name

Detecting students-at-risk in computer programming classes with learning analytics from students' digital footprints., , and . User Model. User-Adapt. Interact., 29 (4): 759-788 (2019)An Exploratory Study on Student Engagement with Adaptive Notifications in Programming Courses., , and . EC-TEL, volume 11082 of Lecture Notes in Computer Science, page 644-647. Springer, (2018)Learning by Reviewing Paper-Based Programming Assessments., , , and . EC-TEL, volume 11082 of Lecture Notes in Computer Science, page 510-523. Springer, (2018)Targeting At-risk Students Using Engagement and Effort Predictors in an Introductory Computer Programming Course., and . EC-TEL, volume 10474 of Lecture Notes in Computer Science, page 361-366. Springer, (2017)Brand Recommendations for Cold-Start Problems Using Brand Embeddings., and . IntelliSys (3), volume 544 of Lecture Notes in Networks and Systems, page 724-733. Springer, (2022)A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet Dataset., , and . IDSTA, page 149-155. IEEE, (2020)Modelling Math Learning on an Open Access Intelligent Tutor., , and . AIED (2), volume 10948 of Lecture Notes in Computer Science, page 36-40. Springer, (2018)user2code2vec: Embeddings for Profiling Students Based on Distributional Representations of Source Code., , , and . LAK, page 86-95. ACM, (2019)Personalizing Computer Science Education by Leveraging Multimodal Learning Analytics., , and . FIE, page 1-9. IEEE, (2018)Predicting Media Memorability Using Ensemble Models., , , , and . MediaEval, volume 2670 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)