亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Guided Perspective Drawing: A Model-Based Method to Build Representational Competence in Organic Chemistry

观点 透视图(图形) 计算机科学 点(几何) 模式 数学教育 能力(人力资源) 人机交互 化学 人工智能 心理学 几何学 数学 社会心理学 艺术 社会科学 社会学 视觉艺术
作者
Elijah St. Germain
出处
期刊:Journal of Chemical Education [American Chemical Society]
标识
DOI:10.1021/acs.jchemed.4c00276
摘要

Many approaches to teaching Newman projections and conformational manipulation rely on lecturing using only two-dimensional representations. While molecular models are recognized as useful learning tools, students are often left to figure out how to use them during the initial learning process. The availability of basic online molecular models provides additional opportunity for practice, but having three different learning modalities (drawings, hand-held models and computer models) creates the need for a systematic teaching approach that integrates these. A model-first teaching method is presented in which Newman projections and the conformations of butane are taught through a guided exercise in drawing molecular models in specific conformations from two viewpoints. The viewpoints correspond to the Newman projection and the bond line drawing, linking them to each other through the 3D object that they both represent. Participation in this exercise correlated with significantly higher competency in translating between the two representations compared to a large control group, who attended the lecture but did not use the models. This method was then extended into a multimodal peer-to-peer learning activity where students applied these skills by critically evaluating differences in conformational or stereochemical details between a 2D molecular drawing prompt and a computer-generated 3D model. Students were able to rotate the computer model to find the point of view corresponding to Newman projections or bond-line drawings, use hand-held models to analyze the differences, and discover stereochemical insights that had not yet been taught.

科研通智能强力驱动
Strongly Powered by AbleSci AI

祝大家在新的一年里科研腾飞
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
9秒前
dm完成签到 ,获得积分10
10秒前
DrWho发布了新的文献求助10
11秒前
12秒前
19秒前
28秒前
36秒前
朴实的思烟完成签到,获得积分10
39秒前
42秒前
52秒前
56秒前
彩色的芝麻完成签到 ,获得积分10
56秒前
1分钟前
zgzjsxx关注了科研通微信公众号
1分钟前
2分钟前
2分钟前
2分钟前
2分钟前
Kevin完成签到,获得积分10
2分钟前
2分钟前
2分钟前
酷波er应助cy采纳,获得10
2分钟前
3分钟前
科研通AI2S应助科研通管家采纳,获得10
3分钟前
3分钟前
3分钟前
HC发布了新的文献求助10
3分钟前
4分钟前
4分钟前
李健应助阎烨磊采纳,获得30
4分钟前
今后应助HC采纳,获得10
4分钟前
cy发布了新的文献求助10
4分钟前
5分钟前
阎烨磊发布了新的文献求助30
5分钟前
5分钟前
阎烨磊完成签到,获得积分10
5分钟前
科研通AI2S应助科研通管家采纳,获得10
5分钟前
大模型应助科研通管家采纳,获得10
5分钟前
5分钟前
高分求助中
Востребованный временем 2500
The Three Stars Each: The Astrolabes and Related Texts 1500
Les Mantodea de Guyane 1000
Very-high-order BVD Schemes Using β-variable THINC Method 950
Field Guide to Insects of South Africa 660
Foucault's Technologies Another Way of Cutting Reality 500
Product Class 33: N-Arylhydroxylamines 300
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3388430
求助须知:如何正确求助?哪些是违规求助? 3000782
关于积分的说明 8793710
捐赠科研通 2686885
什么是DOI,文献DOI怎么找? 1471955
科研通“疑难数据库(出版商)”最低求助积分说明 680665
邀请新用户注册赠送积分活动 673313