Franziska Bickel

ORCID: 0009-0007-0246-8212
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About
Contact & Profiles
Research Areas
  • Online Learning and Analytics
  • Teaching and Learning Programming
  • Education, Achievement, and Giftedness
  • Innovative Teaching and Learning Methods
  • Computational Physics and Python Applications
  • Impact of AI and Big Data on Business and Society
  • Statistics Education and Methodologies
  • Gender and Technology in Education
  • Machine Learning and Data Classification

North Carolina State University
2023-2024

Concord Consortium
2023

Carnegie Mellon University
2023

Abstract This study addresses the need for inclusive AI education by focusing on marginalized female students who historically lack access to learning opportunities in computing. It applies theoretical framework of intersectionality understand how gender, race and ethnicity intersect shape these students' experiences outcomes. Specifically, this investigated 27 high‐school cognitive engagement machine practices. We conducted Wilcoxon–Mann–Whitney test explore differences between their peers,...

10.1111/bjet.13467 article EN cc-by-nc British Journal of Educational Technology 2024-04-23

Artificial Intelligence (AI) has increasingly become a ubiquitous face in our daily lives.Following this trend, many organizations and educational researchers started fostering AI education at the K-12 level.Yet, there is less knowledge about impact of curriculum interventions on students' self-efficacy.In order to understand learning interests, it critical examine their self-efficacy.This paper examines high school self-efficacy machine practices before after participating...

10.22318/icls2023.678406 article EN Proceedings. 2023-10-03
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