(i.e., an objectivist approach). Based onlearning by doingstrategy or theconstructivistparadigm, educational approaches should foster the cognitive and collaborative knowledge construction by supporting learners’ active participation and interaction. In this sense,learning by doingis a paradigm that ...
in Engaging Learners with Chemistry (eds Ilka P., Shirley S. & Jan A.) 225–240 (Royal Society of Chemistry, 2020). Wichman, C. S. et al. Promoting pro-environmental behavior through citizen science? A case study with Chilean schoolchildren on marine plastic pollution. Mar. Policy 141,...
Learners of Chinese are drilled to always “write inside the box” and place great emphasis on conformity. Learners of English are drilled in past, present and perfect tenses, and they generally place a high value on timeliness. Speakers of multiple languages are thus able to access multiple pe...
MLSys-NYU-2022 - Slides, scripts and materials for the Machine Learning in Finance course at NYU Tandon, 2022. Hands-on Train and Deploy ML - A hands-on course to train and deploy a serverless API that predicts crypto prices. LLMOps: Building Real-World Applications With Large Language Mode...
Materials informatics (MI) is aimed to accelerate the materials discovery using computational intelligence and data science. Progress of MI depends on the strength of database and artificial intelligence protocols comprising machine learning (ML) and deep learning (DL) frameworks. Conventional ML models...
(1995). Science curriculum review: Evaluating materials for high-ability learners. Gifted Child Quarterly, 39(1), 36-44.Johnson, D. T., Boyce, L. N., & VanTassel-Baska, J. (1995). Science curriculum review: Evaluating materials for high-ability learners. Gifted Child Quarterly, 39(1),...
This experimental study tests the extent to which specially-designed curriculum materials supported teachers in using instructional strategies for English Language Learners (ELLs) as they implemented an innovative science curriculum for fourth and fifth grade students. Specifically, we examine the impact of...
Materials scientists increasingly employ machine or statistical learning (SL) techniques to accelerate materials discovery and design. Such pursuits benefit from pooling training data across, and thus being able to generalize predictions over, k-nary compounds of diverse chemistries and structures. This wo...
MLSys-NYU-2022 - Slides, scripts and materials for the Machine Learning in Finance course at NYU Tandon, 2022. Hands-on Train and Deploy ML - A hands-on course to train and deploy a serverless API that predicts crypto prices. LLMOps: Building Real-World Applications With Large Language Mode...
Sixth graders are curious and inquisitive learners. The science projects will engage them in thinking scientifically and creatively to solve problems that they care about. They may also spark an interest or provide practice on a topic.Today we are going to share with you 30 of the best 6th gr...