Owen Henkel

Orcid: 0009-0001-8850-067X

According to our database1, Owen Henkel authored at least 10 papers between 2023 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Can Large Language Models Make the Grade? An Empirical Study Evaluating LLMs Ability to Mark Short Answer Questions in K-12 Education.
CoRR, 2024

Effective and Scalable Math Support: Evidence on the Impact of an AI- Tutor on Math Achievement in Ghana.
CoRR, 2024

Can Large Language Models Make the Grade? An Empirical Study Evaluating LLMs Ability To Mark Short Answer Questions in K-12 Education.
Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024

Safe Generative Chats in a WhatsApp Intelligent Tutoring System.
Proceedings of the Joint Proceedings of the Human-Centric eXplainable AI in Education and the Leveraging Large Language Models for Next Generation Educational Technologies Workshops (HEXED-L3MNGET 2024) co-located with 17th International Conference on Educational Data Mining (EDM 2024), 2024

Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference.
Proceedings of the 17th International Conference on Educational Data Mining, 2024

Effective and Scalable Math Support: Experimental Evidence on the Impact of an AI-Math Tutor in Ghana.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2024

2023
Can LLMs Grade Short-answer Reading Comprehension Questions : Foundational Literacy Assessment in LMICs.
CoRR, 2023

Using State-of-the-Art Speech Models to Evaluate Oral Reading Fluency in Ghana.
CoRR, 2023

Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference.
CoRR, 2023

Leveraging Human Feedback to Scale Educational Datasets: Combining Crowdworkers and Comparative Judgement.
Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023


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