Results 101 to 110 of about 1,324,666 (384)

An experimental analysis of the relationship between the evaluations of artificial intelligence and pre-service teachers

open access: yesEdutec
One of the potential benefits of AI is that it may allow optimizing teachers' tasks, enabling them to be more efficient in their work. This study aimed to analyze potential differences between the evaluations given by pre-service teachers and the ...
Héctor Galindo-Domínguez   +3 more
doaj   +1 more source

Scientists and the Science Educators: Collaborating to Develop Conceptual Change Teaching Strategies [PDF]

open access: yes, 1999
Research in science education has identified conceptual change teaching strategies that may enhance pre-service teachers’ understanding of scientific concepts and processes.
Glasson, G. E.
core   +1 more source

Cloud‐Based Control System with Sensing and Actuating Textile‐Based IoT Gloves for Telerehabilitation Applications

open access: yesAdvanced Intelligent Systems, EarlyView.
Using cloud computing technology, a telerehabilitation application allows patients to perform exercises remotely. Sensor data from a textile‐based IoT glove is processed in the cloud and transmitted as exercise commands to an actuating T‐IoT glove worn by patients.
Kadir Ozlem   +5 more
wiley   +1 more source

Multicultural Teaching Models to Educate Pre-Service Teachers: Reflections, Service-Learning, and Mentoring

open access: yesCurrent Issues in Education, 2013
The population of pre-service teachers entering university education programs is becoming more diverse. University education departments have the responsibility to understand and prepare current pre-service teachers, especially regarding multicultural ...
Anni Krummel
doaj  

Pedagogical Content Knowledge (PCK) pada Mahasiswa Calon Guru Matematika

open access: yesNumerical: Jurnal Matematika dan Pendidikan Matematika, 2020
Pedagogical Content Knowledge (PCK) is one of the basic knowledge that pre -services teachers must-have. PCK explained how the teacher linked material knowledge with knowledge about teaching.
Annis Deshinta Ayuningtyas   +1 more
doaj   +1 more source

Prospective K-8 Teachers’ Knowledge of Relational Thinking [PDF]

open access: yes, 2011
The goal of this study was to examine two issues: First, pre-service teachers’ ability and inclination to think relationally prior to instruction about the role relational thinking plays in the K-8 mathematics curriculum. Second, to examine task specific
Magiera, Marta   +2 more
core   +1 more source

Developing a validated instrument to measure pre-service teachers’ ICT competencies : meeting the demands of the 21st-century [PDF]

open access: yes, 2017
The main objective of this study is to develop a self-report instrument to measure pre-service teachers’ ICT competencies in education. The questionnaire items of this instrument are based on an existing comprehensive framework and were created with ...
Aesaert, Koen   +5 more
core   +1 more source

Interdisciplinary Learning for Pre-service Teachers

open access: yesRevista Romaneasca pentru Educatie Multidimensionala, 2021
In this action research study, the researchers worked collaboratively to integrate curriculum in four ways: 1. Professors engaged students in an interdisciplinary project, 2. Students performed a real-world task, 3. Students worked in small cooperative learning groups, and 4.
Carmen Popa   +3 more
openaire   +2 more sources

Pre-service teachers’ evidence-based reasoning during pedagogical problem-solving: better together?

open access: yesEuropean Journal of Psychology of Education, 2020
This study investigates if collaboration and the level of heterogeneity between collaborating partners’ problem-solving scripts can influence the extent to which pre-service teachers engage in evidence-based reasoning when analyzing and solving ...
Andras Csanadi, I. Kollar, F. Fischer
semanticscholar   +1 more source

Infrared‐Driven Polymer Intelligence

open access: yesAdvanced Intelligent Systems, EarlyView.
Infrared spectroscopy is combined with machine learning to accurately predict the glass transition temperature of polymers and enable real‐time process control. The approach outperforms traditional molecular fingerprints by capturing subtle spectral variations due to impurities and additives.
Gorkem Anil Al   +4 more
wiley   +1 more source

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