Results 61 to 70 of about 528,657 (357)

Reflective Perspectives on Interdisciplinary Teaching in Public Health Education: Insights from a Mixed-Methods Approach

open access: yesInternational Journal for the Scholarship of Teaching and Learning
Interdisciplinary teaching is vital for equipping students to address complex public health challenges. This study explores teachers' reflections on interdisciplinary teaching in Singapore’s undergraduate public health programmes, examining facilitators ...
Raymond Boon Tar Lim   +4 more
doaj   +1 more source

The Journal of the Center for Interdisciplinary Teaching and Learning [PDF]

open access: yes, 2017
IMPACT: The Journal of the Center for Interdisciplinary Teaching & Learning is a peer-reviewed, biannual online journal that publishes scholarly and creative non-fiction essays about the theory, practice and assessment of interdisciplinary education ...
Cole, Rick   +6 more
core   +1 more source

Interdisciplinary Graduate Training in Teaching Labs [PDF]

open access: yes, 2012
Modern research and training in the life sciences require cross-disciplinary programs, integrating concepts and methods from biology, physics, chemistry, and mathematics.
DeRisi, Joseph   +5 more
core   +2 more sources

Schooling Trajectories and the Development of Brain Dynamics: A Comparative Study of Montessori and Traditional Education

open access: yesAdvanced Science, EarlyView.
We investigate whether Montessori and traditional schooling systems shape the developmental trajectory of large‐scale brain dynamics in different ways. We quantify the arrow of time (“non‐reversibility”) in neural activity during resting state and movie‐watching, revealing distinct maturational patterns.
Elvira del Agua   +6 more
wiley   +1 more source

Resources and Praxeologies Involved in Teachers’ Design of an Interdisciplinary STEAM Activity

open access: yesEducation Sciences
This study aimed to examine the collaborative design of an interdisciplinary STEAM activity conducted by lower-secondary school teachers of different disciplines.
Gabriella Pocalana   +2 more
doaj   +1 more source

Design, Implementation, and Assessment of an Undergraduate Interdisciplinary Watershed Research Laboratory [PDF]

open access: yes, 2002
This article discusses the establishment of Shippensburg University's Burd Run Interdisciplinary Watershed Research Laboratory and the advantages of linking disciplinary perspectives across courses in geology, geography, biology, and teacher education ...
Christopher Woltemade, William Blewett
core   +1 more source

AI in chemical engineering: From promise to practice

open access: yesAIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew   +4 more
wiley   +1 more source

Teaching Interdisciplinary Geriatrics Team Care

open access: yesAcademic Medicine, 2002
Addressing the current fragmentation and lack of coordination of health care requires that health professionals be skilled and motivated towards interdisciplinary team care. The objectives of our program are to (1) enhance attitudes towards team health care and (2) improve group interaction skills among interdisciplinary health care learners.We nested ...
Brent C, Williams   +2 more
openaire   +3 more sources

Interdisciplinary thinking in agricultural and life sciences higher education [PDF]

open access: yes, 2010
Interdisciplinary thinking as a skill appears to be of value to higher education students and those in employment. This idea is explored with reference to the agricultural and life sciences.
Biemans, H.J.A.   +4 more
core   +2 more sources

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang   +4 more
wiley   +1 more source

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