Results 41 to 50 of about 182,648 (283)
AI in chemical engineering: From promise to practice
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
TPACK in context: An updated model
The Technological Pedagogical and Content Knowledge (TPACK) framework has evolved significantly since its introduction, particularly in its treatment of context. The original model acknowledged contexts through a dotted circle surrounding the framework's
Dominik Petko +2 more
doaj +1 more source
Supporting teachers’ technological pedagogical content knowledge of fractions through co-designing a virtual manipulative [PDF]
This study explores the impact that co-designing a virtual manipulative, Fractions Lab, had on teachers’ professional development. Tapping into an existing community of practice of mathematics specialist teachers, the study identifies how a cooperative ...
Geraniou, E, Hansen, A, Mavrikis, ME
core +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Placing TPACK in context: Looking at the big picture
This special issue of Computers and Education Open focuses on the dynamic relationship between teacher knowledge for technology integration and contextual factors.
Dominik Petko +2 more
doaj +1 more source
Context Awareness and Human–Robot Interaction Optimization for Museum Intelligent Guide Robot
This study presents a context‐aware human–robot interaction framework designed for intelligent museum guide robots. The system features a three‐layer architecture—perception, understanding, and behavior execution—that enables adaptive and meaningful interactions with museum visitors.
Anna Zou, Yue Meng, Shijing Tong
wiley +1 more source
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
The study aimed to assess student-teachers preparedness for technological pedagogical content knowledge of Mathematics instruction. The design was the survey, and the sampling technique was the simple random technique. A structured questionnaire was used
Anita Larteley Addico +2 more
doaj +1 more source
Does the TPACK framework help to design a more engaging learning environment? [PDF]
This paper describes an attempt to design an e-learning course within a framework that combines theoretical underpinnings with pedagogy and content knowledge. It focuses on how a university lecturer can facilitate learning that integrates pedagogical and
Maor, D., Roberts, P.
core +1 more source
Technological Pedagogical Content Knowledge: A Framework for Teacher Knowledge [PDF]
Research in the area of educational technology has often been critiqued for a lack of theoretical grounding. In this article we propose a conceptual framework for educational technology by building on Shulrnan's formulation of “pedagogical content knowledge” and extend it to the phenomenon of teachers integrating technology into their pedagogy.
Punya Mishra, Matthew J. Koehler
openaire +1 more source

