(2006) The impact of teaching models, group structures and assessment modes on cooperative learning in the student design studio. Journal for Education in the Built Environment, 1 (2), 39-56.Tucker, R. & Reynolds, C. (2006). The impact of teaching models, group structures and assessment ...
If you are a practicing educator at any level, you may not yet realize this, but you need not reinvent the wheel when you are looking for effective ways teach. There are literally hundreds of models of teaching and learning. To reiterate,simply put models deal with the ways in which learn...
The openness and cooperative search for truth abiding by the 'unforced force of the better argument' which is required to sustain improvements to teaching and learning through effective partnerships is shown to reside within this model. Further, the communicative model supports facilitated and emergent...
Background: Cooperative Learning (CL) is an inclusive name for various models of teaching/learning methods, all of which emphasize the fundamental of meaningful collaboration among learners during their learning activities. Purpose: The purpose of this study was to examine whether the CL teaching mode...
Multiple integration mode, which enables teachers and students in information technology with the help of the good cooperative learning. Integration over the teaching can improve the efficiency of teaching and learning, improve teaching and learning. ...
This study explores the use of Large Language Models (LLMs), specifically GPT-4, in analysing classroom dialogue—a key task for teaching diagnosis and quality improvement. Traditional qualitative methods are both knowledge- and labour-intensive. This research investigates the potential of LLMs to ...
Also, web education has its flexible teaching models, such as instructive model, individualized self-learning model, and cooperative learning model.关键词: web education teaching model distance education 被引量: 11 年份: 2003 收藏 引用 批量引用 报错 分享 ...
Teaching Large Language Models to Reason with Reinforcement Learning. Preprint Alex Havrilla, Yuqing Du, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Maksym Zhuravinskyi, Eric Hambro, Sainbayar Sukhbaatar, Roberta Raileanu. [Paper], 2024.3 Advancing LLM Reasoning Generalists wit...
A Survey of Large Language Models - [arXiv] [Link] Self-Supervised Multimodal Learning: A Survey - [arXiv] [Link] Large AI Models in Health Informatics: Applications, Challenges, and the Future - [arXiv] [Paper] [Link] Towards Reasoning in Large Language Models: A Survey - [arXiv...
This involves evaluating the current abilities of LLMs, understanding their failure modes, and discovering ways to improve them. LLMs with ToM-like abilities could be better at teaching us, learning from us, communicating with us, collaborating with us, and understanding us [15, 20, 30, 11,...