Rachel Van Campenhout
Rachel Van Campenhout, Ed.D, holds a bachelor of arts in philosophy and English from Duquesne University, a master of arts in digital publishing and writing from Emerson College, and a doctorate of education in instructional technology and leadership from Duquesne University. Starting as a learning engineer at Acrobatiq, Dr. Van Campenhout now leads the scholarly research and publication efforts of the VitalSource research and development team, covering topics that includes the doer effect, automatic question generation, adaptive learning, and instructor implementation. Dr. Van Campenhout is the representative member for the Adaptive Learning Consortium and serves on the board for the International Conference on Adaptive Instructional Systems. Dr. Van Campenhout is also an active member of the IEEE IC Industry Consortium on Learning Engineering and has published papers on learning engineering and ethics in educational technology. In her free time, she enjoys drawing, painting, woodworking projects, and spending time in nature.
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Proceedings of the 32nd International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2024)
Proceedings of the Eleventh ACM Conference on Learning @ Scale (L@S'24)
Proceedings of the 17th International Conference on Educational Data Mining
Presented at the Workshop on Automated Evaluation of Learning and Assessment Content, AIED 2024 Workshop
Presented at Institute for the Future of Education Conference (IFE)
Presented at International Journal of Artificial Intelligence in Education
Presented at Learning Analytics and Knowledge
Presented at the IAFOR International Conference on Education
Presented at 2023 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)
Presented at Artificial Intelligence in Education
Published in Adaptive Instructional Systems, HCII 2023
Presented at The 24th International Conference on Artificial Intelligence in Education
Published in Educational Data Science: Essentials, Approaches, and Tendencies – Proactive Education based on Empirical Big Data Evidence
Presented at The International Society of the Learning Sciences
Presented at The Fifteenth International Conference on Mobile, Hybrid, and On-line Learning
Presented at LAK23:13th International Learning Analytics and Knowledge Conference
Published in Online Learning Journal
Presented at Artificial Intelligence in Education
Presented at workshop on Intelligent Textbooks, Artificial Intelligence in Education
Published in International Journal on Advances in Systems and Measurements
Published in Adaptive Instructional Systems, HCII 2022
Presented at eLmL 2022: The 14th International Conference on Mobile, Hybrid, and Online Learning
Presented at Learning @ Scale
Presented at The IAFOR International Conference on Education – Hawaii
Presented at Third Workshop on Intelligent Textbooks at the 22nd International Conference on Artificial Intelligence in Education
Presented at eLmL 2021: The Thirteenth International Conference on Mobile, Hybrid, and On-line Learning
Published in Sottilare R.A., Schwarz J. (eds) Adaptive Instructional Systems. Design and Evaluation. HCII 2021
Presented at Learning @ Scale 2021
Presented at IICE 2021: The 6th IAFOR International Conference on Education
Presented at Learning @ Scale 2021
Presented at Learning @ Scale Conference 2020
Published in Sottilare R., Schwarz J. (eds) Adaptive Instructional Systems. HCII 2020. LNCS, vol 12214. Springer. pp 543–554.