Results 81 to 90 of about 15,636,570 (229)

Designing a technology-enhanced learning environment to support scientific modeling

open access: yes, 2014
[[abstract]]Modeling of a natural phenomenon is of value in science learning and increasingly emphasized as an important component of science education.
Wu, H.-K.;Hsu, Y. S.;Hwang, F. K.
core  

Collaborative learning and critical thinking in technology-enhanced environments : an instructional design framework [PDF]

open access: yes, 2012
The nature and characteristics of how learners learn today are changing. As technology use in learning and teaching continues to grow, its integration to facilitate deep learning and critical thinking becomes a primary consideration. The implications for
Godat, Meredith
core  

An Opportunity to See the Heart Defect Physically: Medical Student Experiences of Technology-Enhanced Learning with 3D Printed Models of Congenital Heart Disease. [PDF]

open access: yesMed Sci Educ, 2023
Luxford JC   +9 more
europepmc   +1 more source

Technology-Enhanced STEM Learning in Childhood

open access: yesProceedings of the 23rd Annual ACM Interaction Design and Children Conference
Technology-enhanced learning environments in the fields of Science, Technology, Engineering, and Mathematics (STEM) are popular in both formal and informal educational settings. STEM learning in childhood provides students with hands-on experiences in research and problem-solving, affecting their future studies and career paths.
Chatzidaki, Eleni   +4 more
openaire   +3 more sources

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

open access: yesAdvanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier   +17 more
wiley   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch   +3 more
wiley   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

open access: yesAdvanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang   +2 more
wiley   +1 more source

Who’s doing all the work? Using a technology-enhanced learning resource to develop student autonomy [PDF]

open access: yes, 2012
This paper explores the efficacy of a technology-enhanced learning resource designed by tutors to develop their students’ understanding about academic writing and their confidence in working independently.
Scott, C, Scott, C.
core  

Co-designing the first online pharmacy course with the technology-enhanced learning accreditation standards (TELAS) as a reflective tool [PDF]

open access: yes
This research describes the experiences of co-designing a technology-enhanced online Pharmacy course and how the Technology Enhanced Learning Accreditation Standards (TELAS) informed the design and development of a fit-for-purpose online course.
Pingo, Zablon   +3 more
core   +1 more source

Home - About - Disclaimer - Privacy