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Ayesha Bajwa
Publication Activity (10 Years)
Years Active: 2018-2020
Publications (10 Years): 9
Top Topics
Machine Learning
Introductory Programming
Massive Open Online Courses
Scale Invariance
Top Venues
LWMOOCS
CoRR
LATIN
DSAA
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Publications
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Bertie Ancona
,
Ayesha Bajwa
,
Nancy A. Lynch
,
Frederik Mallmann-Trenn
How to Color a French Flag - Biologically Inspired Algorithms for Scale-Invariant Patterning.
LATIN
(2020)
Erik Hemberg
,
Sagar Biswas
,
Ayesha Bajwa
,
Nancy Law
,
Una-May O'Reilly
Categorizing Resources and Learners for a Finer-Grained Analysis of MOOC Viewing & Doing.
LWMOOCS
(2019)
Ayesha Bajwa
,
Erik Hemberg
,
Ana Bell
,
Una-May O'Reilly
Student Code Trajectories in an Introductory Programming MOOC.
L@S
(2019)
Bertie Ancona
,
Ayesha Bajwa
,
Nancy A. Lynch
,
Frederik Mallmann-Trenn
How to Color a French Flag - Biologically Inspired Algorithms for Scale-Invariant Patterning.
SIROCCO
(2019)
Alberto Ancona
,
Ayesha Bajwa
,
Nancy A. Lynch
,
Frederik Mallmann-Trenn
How to Color a French Flag-Biologically Inspired Algorithms for Scale-Invariant Patterning.
CoRR
(2019)
Jitesh Maiyuran
,
Ayesha Bajwa
,
Ana Bell
,
Erik Hemberg
,
Una-May O'Reilly
How Student Background and Topic Impact the Doer Effect in Computational Thinking MOOCs.
LWMOOCS
(2019)
Ayesha Bajwa
,
Ana Bell
,
Erik Hemberg
,
Una-May O'Reilly
Analyzing Student Code Trajectories in an Introductory Programming MOOC.
LWMOOCS
(2019)
Leilani H. Gilpin
,
David Bau
,
Ben Z. Yuan
,
Ayesha Bajwa
,
Michael A. Specter
,
Lalana Kagal
Explaining Explanations: An Overview of Interpretability of Machine Learning.
DSAA
(2018)
Leilani H. Gilpin
,
David Bau
,
Ben Z. Yuan
,
Ayesha Bajwa
,
Michael A. Specter
,
Lalana Kagal
Explaining Explanations: An Approach to Evaluating Interpretability of Machine Learning.
CoRR
(2018)