Machine learning and data science in soft materials engineering
AL Ferguson - Journal of Physics: Condensed Matter, 2017 - iopscience.iop.org
In many branches of materials science it is now routine to generate data sets of such large
size and dimensionality that conventional methods of analysis fail. Paradigms and tools from …
size and dimensionality that conventional methods of analysis fail. Paradigms and tools from …
Replication, validation, and use of a language independent CS1 knowledge assessment
Computing education lags other discipline-based education research in the number and
range of validated assessments available to the research community. Validated …
range of validated assessments available to the research community. Validated …
Modeling and simulation practices for a computational thinking‐enabled engineering workforce
AJ Magana, G Silva Coutinho - Computer Applications in …, 2017 - Wiley Online Library
Computational thinking has been recognized as a collection of understandings and skills
required for new generations of students not only proficient at using tools, but also at …
required for new generations of students not only proficient at using tools, but also at …
The use of engineering model‐building activities to elicit computational thinking: A design‐based research study
Background Computation and computational thinking are of great interest to both
engineering research and teaching communities. Effective learning environments are …
engineering research and teaching communities. Effective learning environments are …
Characterizing engineering learners' preferences for active and passive learning methods
This paper studies electrical engineering learners' preferences for learning methods with
various degrees of activity. Less active learning methods such as homework and peer …
various degrees of activity. Less active learning methods such as homework and peer …
Supporting student reflective practices through modelling-based learning assignments
Reflective practice is becoming a more necessary skill across all disciplines and industry
sectors. This study describes the reflective processes capstone engineering students …
sectors. This study describes the reflective processes capstone engineering students …
Modeling and simulation practices in engineering education
Much can be learned from the vast work on the use of computer simulations for inquiry
learning for the integration of modeling and simulation practices in engineering education …
learning for the integration of modeling and simulation practices in engineering education …
Using Technology to Enhance Learning and Engagement in Engineering.
MD Koretsky, AJ Magana - Advances in Engineering Education, 2019 - ERIC
In this article, we explore how information, communications, and computational technology,
or computer technology for short, influences the way that engineering is taught and learned …
or computer technology for short, influences the way that engineering is taught and learned …
Analyzing students' computational thinking practices in a first-year engineering course
This study investigates the relationship between two related computational thinking
practices: data practices and computational problem-solving practices in acquiring related …
practices: data practices and computational problem-solving practices in acquiring related …
Data science knowledge integration: Affordances of a computational cognitive apprenticeship on student conceptual understanding
M Sánchez‐Peña, C Vieira… - Computer Applications in …, 2023 - Wiley Online Library
This study implements a computational cognitive apprenticeship framework for knowledge
integration of Data Science (DS) concepts delivered via computational notebooks. This …
integration of Data Science (DS) concepts delivered via computational notebooks. This …