3.3.2.4Learning style of learners According toLarkin and Budny (2005)Gohar & Sadeghi, 2015;Cassidy, 2004). Students perform more effectively when the learning material is tailored according to their learning style. Literature findings have also stated that learning styles and academic performance in ...
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...
In science education, inquiry has been used to describe the following ideas: (1) scientific ways of knowing—that is, the work of scientists, (2) a way for students to learn science, (3) an instructional approach and (4) curriculum materials (Furtak et al., 2012, p. 235). In this ...
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...
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,...
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...
However, if faculty are interested in students (Pascarella & Terenzini, 1980) and have warm interactions with learners (Lang, 2016), then student success is more likely. On the practical side, just the willingness to try to learn names in a three-hundred person biology class led to a ...