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The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education
The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education
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The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education

Scherer, Ronny ; Siddiq, Fazilat ; Tondeur, Jo

Computers and education, 2019-01, Vol.128, p.13-35 [Periódico revisado por pares]

Elsevier Ltd

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2
The importance of attitudes toward technology for pre-service teachers' technological, pedagogical, and content knowledge: Comparing structural equation modeling approaches
The importance of attitudes toward technology for pre-service teachers' technological, pedagogical, and content knowledge: Comparing structural equation modeling approaches
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The importance of attitudes toward technology for pre-service teachers' technological, pedagogical, and content knowledge: Comparing structural equation modeling approaches

Scherer, Ronny ; Tondeur, Jo ; Siddiq, Fazilat ; Baran, Evrim

Computers in human behavior, 2018-03, Vol.80, p.67-80 [Periódico revisado por pares]

Elmsford: Elsevier Ltd

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3
Blue applicability grade index (BAGI) and software: a new tool for the evaluation of method practicality
Blue applicability grade index (BAGI) and software: a new tool for the evaluation of method practicality
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Blue applicability grade index (BAGI) and software: a new tool for the evaluation of method practicality

Manousi, Natalia ; Wojnowski, Wojciech Karol ; Płotka-Wasylka, Justyna ; Samanidou, Victoria

Green chemistry : an international journal and green chemistry resource : GC, 2023-10 [Periódico revisado por pares]

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4
All the same or different? Revisiting measures of teachers' technology acceptance
All the same or different? Revisiting measures of teachers' technology acceptance
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All the same or different? Revisiting measures of teachers' technology acceptance

Scherer, Ronny ; Siddiq, Fazilat ; Tondeur, Jo

Computers and education, 2020-01, Vol.143, p.103656, Article 103656 [Periódico revisado por pares]

Elsevier Ltd

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5
Exploring a Long Short-Term Memory based Encoder-Decoder framework for multi-step-ahead flood forecasting
Exploring a Long Short-Term Memory based Encoder-Decoder framework for multi-step-ahead flood forecasting
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Exploring a Long Short-Term Memory based Encoder-Decoder framework for multi-step-ahead flood forecasting

Kao, I-Feng ; Zhou, Yanlai ; Chang, Li-Chiu ; Chang, Fi-John

Journal of hydrology (Amsterdam), 2020-04, Vol.583, p.124631, Article 124631 [Periódico revisado por pares]

Elsevier B.V

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6
Unpacking teachers’ intentions to integrate technology: A meta-analysis
Unpacking teachers’ intentions to integrate technology: A meta-analysis
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Unpacking teachers’ intentions to integrate technology: A meta-analysis

Scherer, Ronny ; Teo, Timothy

Educational research review, 2019-06, Vol.27 (June 2019), p.90-109 [Periódico revisado por pares]

Elsevier Ltd

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7
Public engagement and AI: A values analysis of national strategies
Public engagement and AI: A values analysis of national strategies
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Public engagement and AI: A values analysis of national strategies

Wilson, Christopher

Government information quarterly, 2022-01, Vol.39 (1), p.101652, Article 101652 [Periódico revisado por pares]

Elsevier Inc

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8
Real-time probabilistic forecasting of river water quality under data missing situation: Deep learning plus post-processing techniques
Real-time probabilistic forecasting of river water quality under data missing situation: Deep learning plus post-processing techniques
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Real-time probabilistic forecasting of river water quality under data missing situation: Deep learning plus post-processing techniques

Zhou, Yanlai

Journal of hydrology (Amsterdam), 2020-10, Vol.589, p.125164, Article 125164 [Periódico revisado por pares]

Elsevier B.V

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9
Valorization of bio-residuals in the food and forestry sectors in support of a circular bioeconomy: A review
Valorization of bio-residuals in the food and forestry sectors in support of a circular bioeconomy: A review
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Valorization of bio-residuals in the food and forestry sectors in support of a circular bioeconomy: A review

Gregg, Jay Sterling ; Jürgens, Jonas ; Happel, Maaike K. ; Strøm-Andersen, Nhat ; Tanner, Anne Nygaard ; Bolwig, Simon ; Klitkou, Antje

Journal of cleaner production, 2020-09, Vol.267, p.122093, Article 122093 [Periódico revisado por pares]

Elsevier Ltd

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10
Seamless integration of convolutional and back-propagation neural networks for regional multi-step-ahead PM2.5 forecasting
Seamless integration of convolutional and back-propagation neural networks for regional multi-step-ahead PM2.5 forecasting
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Seamless integration of convolutional and back-propagation neural networks for regional multi-step-ahead PM2.5 forecasting

Kow, Pu-Yun ; Wang, Yi-Shin ; Zhou, Yanlai ; Kao, I-Feng ; Issermann, Maikel ; Chang, Li-Chiu ; Chang, Fi-John

Journal of cleaner production, 2020-07, Vol.261, p.121285, Article 121285 [Periódico revisado por pares]

Elsevier Ltd

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