Technology-Enhanced Learning in the Education of Oncology Medical Professionals: A Systematic Literature Review. [PDF]
J Cancer Educ, 2023 Kulaksız T, Steinbacher J, Kalz M.
europepmc +1 more source
Arthritis Care &Research, EarlyView.Objective Although the definition of a gout flare is well established, the state of gout flare resolution has not yet been defined. This study aimed to explore patients’ experiences and perceptions of gout flare resolution. Methods Semistructured interviews were conducted with 24 people with gout, guided by open‐ended questions exploring their ...
Sarah Stewart +5 more
wiley +1 more source
Developing resilience and managing change in technology-enhanced learning environments [PDF]
, 2014 In the competitive higher education environment there is pressure for organisational change at all levels, from major organisational structural change to introducing new curricula or new and innovative educational technology. However, current educational
Buchan, Janet Frances
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Technology-Enhanced Learning and Its Association with Motivation to Learn Science from a Cross-Cultural Perspective. [PDF]
J Sci Educ Technol, 2023 Ginzburg T, Barak M.
europepmc +1 more source
Arthritis Care &Research, EarlyView.Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah +4 more
wiley +1 more source
Application of an analytical framework to describe young students' learning in technology [PDF]
, 2002 This paper discusses a framework for describing and analysing how young students (5–6 years) learn in technology with a view towards enhancing teaching and learning practice in technology.
Jones, Alister +3 more
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Influence of primary students' self-regulated learning profiles on their rating of a technology-enhanced learning environment for mathematics. [PDF]
Front Psychol, 2023 Bednorz D, Bruhn S.
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dynoGP: Deep Gaussian Processes for Dynamic System Identification
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Understanding the Functional Components of Technology-Enhanced Learning Environment in Medical Education: A Scoping Review. [PDF]
Med Sci Educ, 2023 Naeem NI +4 more
europepmc +1 more source
Advanced Engineering Materials, EarlyView.Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source