Results 71 to 80 of about 801,900 (223)
Barriers to Active Learning for Computer Science Faculty [PDF]
arXiv, 2018 Active learning is a proven pedagogical style that has demonstrated value by improving students' performance and classroom experience. In spite of the evidence, adoption of active learning in computer science remains relatively low. To identify what barriers to adoption exist, an electronic survey was sent to 369 computer science faculty in a state in ...
arxiv
International Journal of Adaptive Control and Signal Processing, EarlyView.The cost as a function of the number of experiments for a non‐symmetric 21×21$$ 21\times 21 $$ system. Four approaches are shown: the proposed stochastic conjugate gradient ILC (SCGILC) method (), deterministic conjugate gradient ILC (), stochastic gradient descent ILC () and deterministic gradient descent ILC ().
Leontine Aarnoudse, Tom Oomen
wiley +1 more source
Curating Computer Science Educational Content with Machine Learning: Analyzing Learner Ratings within an Algorithmic Recommender System [PDF]
, 2022 Teresa M. Ober +7 more
openalex +1 more source
Advanced Biology, EarlyView.Synthetic cells (SCs) hold great promise for biomedical applications, but manual production limits scalability. This study presents an automated method for large‐scale SC synthesis, integrating robotic liquid handling and machine learning‐driven high‐throughput characterization.
Noga Sharf‐Pauker +7 more
wiley +1 more source
Tool-Assisted Learning of Computational Reductions [PDF]
arXivComputational reductions are an important and powerful concept in computer science. However, they are difficult for many students to grasp. In this paper, we outline a concept for how the learning of reductions can be supported by educational support systems.
arxiv
Toward Design Principles for Biomolecular Condensates for Metabolic Pathways
Advanced Biology, EarlyView.Biomolecular condensates are membrane‐less compartments found through‐out nature which can serve as reaction crucibles for biochemical processes. This review explores the design strategies underlying how condensates can be used in biotechnology to enhance multistep enzyme cascades including enhancement by mass action and substrate channeling, and ...
Alain A.M. André +3 more
wiley +1 more source
A Novel Digitalization Approach for Smart Materials – Ontology‐Based Access to Data and Models
Advanced Engineering Materials, EarlyView.In order to access heterogeneous material data and model‐based knowledge, the established ontology‐based data access (OBDA) is extended to include material models. This novel ontology‐based data and model access (OBDMA) enables the computation of new responses beyond stored data.
Jürgen Maas +15 more
wiley +1 more source
Implementation of a Computer Science Career Guidance Website that Makes Use of Machine Learning
, 2023 Parth Lokhande +4 more
openalex +1 more source
FAIR and Structured Data: A Domain Ontology Aligned with Standard‐Compliant Tensile Testing
Advanced Engineering Materials, EarlyView.The digitalization in materials science and engineering is discussed, emphasizing the importance of digital workflows and ontologies in managing diverse experimental data. Challenges such as quality assurance and data interoperability are tackled with semantic web technologies, focusing and introducing the tensile test ontology (TTO).
Markus Schilling +6 more
wiley +1 more source