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Sine Zam­bach

Tenure Track Assistant Professor

Subjects
Artificial intelligence Machine learning Statistics Big data Education Learning

Let's play with data and AI – in­vest­ig­at­ing data sci­ence

Sine Zambach is an assistant professor at Department of Digitalization, Copenhagen Business School. 
 
She holds a ph.d. degree in computer science and a master degree in bioinformatics. She has worked within data analysis in the educational sector, genetics and in a book publishing company. 
Her main focus is on artificial intelligence and machine learning in the educational sector.

Publications

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2025

AI-Enhanced Learning

Comparing Outcomes in Introductory and Advanced Programming Courses

Sine Zam­bach, Tenure Track Assistant Professor

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2025

Computer Science Education in Secondary School

A Real-Life Approach to Teaching Students Technology-Critical Aspects of AI

Elisa Nadire Caeli

Cecilie Svane Pedersen

Sine Zam­bach, Tenure Track Assistant Professor

Morten Misfeldt

Jeppe Bundsgaard
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2025

AI på arbejde

En guide til fremtidens intelligente arbejdsliv

Mark Friis Hau

Sine Zam­bach, Tenure Track Assistant Professor

Chri­sti­an Hen­drik­sen, Associate Professor

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Recent research projects

How GenAI enters the classroom

How does gen­er­at­ive AI sup­port stu­dent learn­ing? Des­pite risks like cheat­ing or de­fi­cits, how can GenAI and AI-based mu­sic en­gage and en­hance learn­ing?

AI in edu­ca­tion and learn­ing ana­lyt­ics

How can we meas­ure stu­dent and teach­er per­form­ance in crisis? COV­ID-19 showed com­plex links between di­git­al learn­ing, out­comes, and prac­tices, de­mand­ing nu­anced ap­proaches to on­line edu­ca­tion.

Nav­ig­at­ing the data world - Un­der­stand­ing how data sci­ent­ists work us­ing Cit­izen Data Sci­ence

Cit­izen-pro­duced COV­ID-19 data visu­al­iz­a­tions shaped Dan­ish de­bate and policy. We present Cit­izen Data Sci­ence as an ex­ten­ded peer com­munity, where non-ex­perts en­rich data in­ter­pret­a­tion and demo­cracy