Teaching and Learning Floating and Sinking: Didactic Transformation in a Density-Based Approach

被引:4
|
作者
Zoupidis, Anastasios [1 ]
Spyrtou, Anna [2 ]
Pnevmatikos, Dimitrios [2 ]
Kariotoglou, Petros [3 ]
机构
[1] Democritus Univ Thrace, Dept Primary Level Educ, Alexandroupolis 68131, Greece
[2] Univ Western Macedonia, Dept Primary Educ, Florina 53100, Greece
[3] Univ Western Macedonia, Dept Early Childhood Educ, Florina 53100, Greece
关键词
inquiry-based instruction; science education; teaching-learning sequences; didactic transformation; primary level; SCIENCE-EDUCATION; CONCEPTUAL CHANGE; STUDENTS; KNOWLEDGE; ACQUISITION; SEQUENCE; INQUIRY; WEIGHT; MODELS; IMPACT;
D O I
10.3390/fluids6040158
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
This essay synthesizes more than a decade of research, most of which has been published, on the teaching and learning of floating and sinking (FS) phenomena. The research is comprised of the iterative design, development, implementation and evaluation of a Teaching-Learning sequence (TLS) for the teaching and learning of density within FS phenomena. It was initiated within the frame of the European Community supported "Materials Science" project. Due to the many, different aspects of the project, each publication has focused on a particular part of the study (e.g., effectiveness and the iteration process). The didactic transformation for the teaching of FS phenomena is presented and discussed here. In doing so, it is essential to mention: (a) the students' ideas as the main cause of the scientific knowledge transformation, (b) the scientific/reference knowledge, and (c) the knowledge to be taught and its limitations. Thus, we intend to describe and justify the didactic transformation process and briefly synthesize the published (from previous papers) and unpublished results to show its effectiveness.
引用
收藏
页数:18
相关论文
共 50 条
  • [1] Teaching and learning floating and sinking: A meta-analysis
    Schwichow, Martin
    Zoupidis, Anastasios
    [J]. JOURNAL OF RESEARCH IN SCIENCE TEACHING, 2024, 61 (02) : 487 - 516
  • [2] A density-based approach for instance selection
    Carbonera, Joel Luis
    Abel, Mara
    [J]. 2015 IEEE 27TH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2015), 2015, : 768 - 774
  • [3] DIMENSIONS OF MICROSTRUCTURE APPROACH TO DIDACTIC TRANSFORMATION IN FIELD OF TEACHING ECONOMICS
    WITT, R
    [J]. ZEITSCHRIFT FUR PADAGOGIK, 1977, 23 (03): : 369 - 380
  • [4] Clustering with Missing Features: A Density-Based Approach
    Gao, Kun
    Khan, Hassan Ali
    Qu, Wenwen
    [J]. SYMMETRY-BASEL, 2022, 14 (01):
  • [5] A local density-based approach for outlier detection
    Tang, Bo
    He, Haibo
    [J]. NEUROCOMPUTING, 2017, 241 : 171 - 180
  • [6] A novel density-based approach for instance selection
    Carbonera, Joel Luis
    Abel, Mara
    [J]. 2016 IEEE 28TH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2016), 2016, : 549 - 556
  • [7] A conceptual density-based approach for the disambiguation of toponyms
    Buscaldi, Davide
    Rosso, Paulo
    [J]. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2008, 22 (03) : 301 - 313
  • [8] Density-based approach for fuzzy rule interpolation
    Gao, Fei
    [J]. APPLIED SOFT COMPUTING, 2023, 143
  • [9] Efficient Distributed Approach for Density-Based Clustering
    Laloux, Jean-Francois
    Le-Khac, Nhien-An
    Kechadi, M-Tahar
    [J]. 2011 20TH IEEE INTERNATIONAL WORKSHOPS ON ENABLING TECHNOLOGIES: INFRASTRUCTURE FOR COLLABORATIVE ENTERPRISES (WETICE), 2011, : 145 - 150
  • [10] Edge Bundling by Density-Based Pathfinding Approach
    Saga, Ryosuke
    Yoshikawa, Tomoki
    Nakashima, Tomoharu
    [J]. GRAPH DRAWING AND NETWORK VISUALIZATION, GD 2022, 2023, 13764 : 480 - 482