The 3Dmol.js']js Learning Environment: A Classroom Response System for 3D Chemical Structures

被引:7
|
作者
Seshadri, Keshavan [1 ]
Liu, Peng [2 ]
Koes, David Ryan [3 ]
机构
[1] Int Inst Informat Technol, Ctr Computat Nat Sci & Bioinformat CCNSB, Hyderabad, Telangana, India
[2] Univ Pittsburgh, Dept Chem, Pittsburgh, PA 15260 USA
[3] Univ Pittsburgh, Dept Computat & Syst Biol, Pittsburgh, PA 15260 USA
基金
美国国家科学基金会;
关键词
Internet/Web-Based Learning; Computer-Based Learning; CLICKERS;
D O I
10.1021/acs.jchemed.0c00579
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Classroom response systems are an important tool in many active learning pedagogies. They support real-time feedback on student learning and promote student engagement, even in large classrooms, by allowing instructors to solicit an answer to a question from all students and show the results. Existing classroom response systems are general purpose and not tailored to the specific needs of a chemistry classroom. In particular, it is not easy to deploy molecular representations except as static images. Here we present the 3Dmol.js learning environment, a classroom response system that uses the open-source web-based 3Dmol.js JavaScript framework to provide interactive viewing and querying of 3D molecules. 3Dmol.js is available under a BSD 3-clause open-source license, and the learning-environment features are all available through http://3dmol.csb.pitt.edu/without any software installation required.
引用
收藏
页码:3872 / 3876
页数:5
相关论文
共 50 条
  • [1] 3Dmol.js']js: Simple visualization and sharing of 3D molecular data
    Koes, David
    Rego, Nicholas
    [J]. ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2015, 249
  • [2] 3Dmol.js']js: Chemical structure visualization for the modern web
    Collins, Jasmine
    Ragoza, Matthew
    Jensen, Justin
    Koes, David
    [J]. ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2016, 251
  • [3] 3Dmol.js']js: molecular visualization with WebGL
    Rego, Nicholas
    Koes, David
    [J]. BIOINFORMATICS, 2015, 31 (08) : 1322 - 1324
  • [4] Architecture Analysis and Implementation of 3D Theatre Display System Based on Node.js']js
    Jiang, Wei
    Zhou, Bin
    Zhang, Meng
    [J]. 2015 International Conference on Network and Information Systems for Computers (ICNISC), 2015, : 496 - 499
  • [5] EZ3.js']js: A robust and flexible WebGL-based 3D engine
    Alvarez, Andres
    Zapata, Carlos
    Ramirez, Esmit
    [J]. PROCEEDINGS OF THE 2016 XLII LATIN AMERICAN COMPUTING CONFERENCE (CLEI), 2016,
  • [6] 3D Modeling and WebVR Implementation using Azure Kinect, Open3D, and Three.js']js
    Yun, Won Joon
    Kim, Joongheon
    [J]. 11TH INTERNATIONAL CONFERENCE ON ICT CONVERGENCE: DATA, NETWORK, AND AI IN THE AGE OF UNTACT (ICTC 2020), 2020, : 240 - 243
  • [7] JS']JSL3D: Joint subspace learning with implicit structure supervision for 3D pose estimation
    Jiang, Mengxi
    Zhou, Shihao
    Li, Cuihua
    Lei, Yunqi
    [J]. PATTERN RECOGNITION, 2022, 132
  • [8] A 3D Multiuser Virtual Learning Environment and Learning Management System
    Rosmansyah, Yusep
    Ashaury, Herdi
    [J]. PROCEEDINGS OF THE 2017 6TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND INFORMATICS (ICEEI'17), 2017,
  • [9] Learning to Navigate in a 3D Environment
    Sani, Nurulhidayati Haji Mohd
    Phon-Amnuaisuk, Somnuk
    Thien Wan Au
    Ee Leng Tan
    [J]. MULTI-DISCIPLINARY TRENDS IN ARTIFICIAL INTELLIGENCE, (MIWAI 2016), 2016, 10053 : 271 - 278
  • [10] JS']JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds
    Zhao, Lin
    Tao, Wenbing
    [J]. THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2020, 34 : 12951 - 12958