Zobrazeno 1 - 10
of 6 057
pro vyhledávání: '"To, Jenn P."'
This paper aims to uncover needs of adult learners when using pedagogical technologies such as intelligent tutoring systems. Further, our aim with this work is to understand the usability challenges when deploying tutors at scale within the adult lea
Externí odkaz:
http://arxiv.org/abs/2412.04477
Autor:
Vassoyan, Jean, Schütt, Anan, Vie, Jill-Jênn, Lekshmi-Narayanan, Arun-Balajiee, André, Elisabeth, Vayatis, Nicolas
Massive Open Online Courses (MOOCs) have greatly contributed to making education more accessible. However, many MOOCs maintain a rigid, one-size-fits-all structure that fails to address the diverse needs and backgrounds of individual learners. Learni
Externí odkaz:
http://arxiv.org/abs/2411.11520
Autor:
Belcaid, Mohammed, Bonnafous, Eric, Crison, Louis, Faure, Christophe, Jenn, Eric, Pagetti, Claire
Publikováno v:
12th European Congress on Embedded Real Time Software and Systems, Jun 2024, Toulouse, France
In this paper, we present a development process of a drone detection system involving a machine learning object detection component. The purpose is to reach acceptable performance objectives and provide sufficient evidences, required by the recommend
Externí odkaz:
http://arxiv.org/abs/2406.12362
Autor:
Wu, John F., Hyk, Alina, McCormick, Kiera, Ye, Christine, Astarita, Simone, Baral, Elina, Ciuca, Jo, Cranney, Jesse, Field, Anjalie, Iyer, Kartheik, Koehn, Philipp, Kotler, Jenn, Kruk, Sandor, Ntampaka, Michelle, O'Neill, Charles, Peek, Joshua E. G., Sharma, Sanjib, Yunus, Mikaeel
Large Language Models (LLMs) are shifting how scientific research is done. It is imperative to understand how researchers interact with these models and how scientific sub-communities like astronomy might benefit from them. However, there is currentl
Externí odkaz:
http://arxiv.org/abs/2405.20389
Autor:
Chen, Wei-Yang, Huang, Shih-Wen, Tseng, Yi, Zhang, Wenliang, Paris, Eugenio, Asmara, Teguh Citra, Lee, Jenn-Min, Schmitt, Thorsten, Shao, Yu-Cheng, Chuang, Yi-De, Freelon, Byron, Yao, Dao-Xin, Datta, Trinanjan
Resonant inelastic x-ray scattering (RIXS) experiment was performed at the Mn $L_3$ edge. A 10 $\%$ Mn-doped Sr$_{3}$Ru$_{2}$O$_{7}$ compound, where the Mn$^{3+}$ ions are in the 3$d^4$ state, were probed for $dd$ excitations. The dilute doping conce
Externí odkaz:
http://arxiv.org/abs/2404.02963
Accurate estimation of question difficulty and prediction of student performance play key roles in optimizing educational instruction and enhancing learning outcomes within digital learning platforms. The Elo rating system is widely recognized for it
Externí odkaz:
http://arxiv.org/abs/2403.07908
Autor:
Wang, Ting, Stelter, Keith, Floyd, Jenn, O'Neill, Thomas, Hendrix, Nathaniel, Bazemore, Andrew, Rode, Kevin, Newton, Warren
In testing industry, precise item categorization is pivotal to align exam questions with the designated content domains outlined in the assessment blueprint. Traditional methods either entail manual classification, which is laborious and error-prone,
Externí odkaz:
http://arxiv.org/abs/2312.03561
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 6, Pp 227-236 (2025)
Goal: Chromosomes are intracellular aggregates that carry genetic information. An abnormal number or structure of chromosomes causes chromosomal disorders. Thus, chromosome screening is crucial for prenatal care; however, manual analysis of chromosom
Externí odkaz:
https://doaj.org/article/97d48b40b50543c1a390aa36fd77ebf7
Autor:
Vie, Jill-Jênn, Kashima, Hisashi
Publikováno v:
ICCE 2023 - The 31st International Conference on Computers in Education, Asia-Pacific Society for Computers in Education, Dec 2023, Matsue, Shimane, Japan
Knowledge tracing consists in predicting the performance of some students on new questions given their performance on previous questions, and can be a prior step to optimizing assessment and learning. Deep knowledge tracing (DKT) is a competitive mod
Externí odkaz:
http://arxiv.org/abs/2309.12334
Adaptive learning is an area of educational technology that consists in delivering personalized learning experiences to address the unique needs of each learner. An important subfield of adaptive learning is learning path personalization: it aims at
Externí odkaz:
http://arxiv.org/abs/2305.06398