Over the years, personalisation in e‐learning has evolved as a promising paradigm for matching learners' specific requirements. Although many literature reviews on personalised …
OH Choung, R Vianello, M Segler, N Stiefl… - Nature …, 2023 - nature.com
The lead optimization process in drug discovery campaigns is an arduous endeavour where the input of many medicinal chemists is weighed in order to reach a desired molecular …
Recent advancements in Large Language Models (LLMs) showcase advanced reasoning, yet NLP evaluations often depend on static benchmarks. Evaluating this necessitates …
A Larkin, X Gu, L Chen, P Hystad - Landscape and Urban Planning, 2021 - Elsevier
Background High quality built environments are important for human health and wellbeing. Numerous studies have characterized built environment physical features and …
This study investigated the extent to which subjectively and objectively measured street- level perceptions complement or conflict with each other in explaining property value. Street …
U Chitra, B Raphael - International conference on machine …, 2019 - proceedings.mlr.press
Hypergraphs are used in machine learning to model higher-order relationships in data. While spectral methods for graphs are well-established, spectral theory for hypergraphs …
Assessing players' learning experiences in a proper manner is a fundamental aspect of successful game-based learning programs. One notable characteristic of these programs is …
Q Ni, T Wei, J Zhao, L He, C Zheng - Expert Systems with Applications, 2023 - Elsevier
Abstract Knowledge tracing (KT) has evolved into a crucial component of the online education system with the rapid development of online adaptive learning. A key component …
With this monograph we introduce a new, systematic taxonomy of Sports Interaction Technology (Sports ITech) that defines a design space of existing and future work in this …