Applying machine learning in science assessment: a systematic review
Machine learning (ML) is an emergent computerised technology that relies on algorithms
built by 'learning'from training data rather than 'instruction', which holds great potential to …
built by 'learning'from training data rather than 'instruction', which holds great potential to …
[PDF][PDF] Applying machine learning in science assessment: a systematic review
X Zhai, Y Yin, JW Pellegrino, KC Haudek, L Shi - 2020 - researchgate.net
Machine learning (ML) is an emergent computerised technology that relies on algorithms
built by LlearningL from training data rather than LinstructionL, which holds great potential to …
built by LlearningL from training data rather than LinstructionL, which holds great potential to …
[PDF][PDF] Applying machine learning in science assessment: a systematic review
X Zhai, Y Yin, JW Pellegrino, KC Haudek, L Shi - Education, 2020 - academia.edu
Machine learning (ML) is an emergent computerised technology that relies on algorithms
built by LlearningL from training data rather than LinstructionL, which holds great potential to …
built by LlearningL from training data rather than LinstructionL, which holds great potential to …
[引用][C] Applying machine learning in science assessment: a systematic review
X Zhai, Y Yin, JW Pellegrino… - Studies in Science …, 2020 - ui.adsabs.harvard.edu
Applying machine learning in science assessment: a systematic review - NASA/ADS Now on
home page ads icon ads Enable full ADS view NASA/ADS Applying machine learning in …
home page ads icon ads Enable full ADS view NASA/ADS Applying machine learning in …
Applying Machine Learning in Science Assessment: A Systematic Review.
X Zhai, Y Yin, JW Pellegrino, KC Haudek, L Shi - Studies in Science Education, 2020 - ERIC
Machine learning (ML) is an emergent computerised technology that relies on algorithms
built by'learning'from training data rather than'instruction', which holds great potential to …
built by'learning'from training data rather than'instruction', which holds great potential to …
[PDF][PDF] Applying machine learning in science assessment: a systematic review
X Zhai, Y Yin, JW Pellegrino, KC Haudek, L Shi - 2020 - researchgate.net
Machine learning (ML) is an emergent computerised technology that relies on algorithms
built by LlearningL from training data rather than LinstructionL, which holds great potential to …
built by LlearningL from training data rather than LinstructionL, which holds great potential to …