Developing a Learning Progression of Buoyancy to Model Conceptual Change: A Latent Class and Rule Space Model Analysis

被引:0
|
作者
Yizhu Gao
Xiaoming Zhai
Björn Andersson
Pingfei Zeng
Tao Xin
机构
[1] Beijing Normal University,Collaborative Innovation Center of Assessment toward Basic Education Quality
[2] Stanford University,Graduate School of Education
[3] University of Oslo,Centre for Educational Measurement
[4] Zhejiang Normal University,College of Teacher Education
来源
关键词
Buoyancy; Learning progression; Latent class analysis; Rule space model; Conceptual change;
D O I
暂无
中图分类号
学科分类号
摘要
We applied latent class analysis and the rule space model to verify the cumulative characteristic of conceptual change by developing a learning progression for buoyancy. For this study, we first abstracted seven attributes of buoyancy and then developed a hypothesized learning progression for buoyancy. A 14-item buoyancy instrument was administered to 1089 8th grade students to verify and refine the learning progression. The results suggest four levels of progression during conceptual change when 8th grade students understand buoyancy. Students at level 0 can only master Density. When students progress to level 1, they can grasp Direction, Identification, Submerged volume, and Relative density on the basis of the prior level. Then, students gradually master Archimedes’ theory as they reach level 2. The most advanced students can further grasp Relation with motion and arrive at level 3. In addition, this four-level learning progression can be accounted for by the Qualitative–Quantitative–Integrative explanatory model.
引用
收藏
页码:1369 / 1388
页数:19
相关论文
共 50 条
  • [1] Developing a Learning Progression of Buoyancy to Model Conceptual Change: A Latent Class and Rule Space Model Analysis
    Gao, Yizhu
    Zhai, Xiaoming
    Andersson, Bjoern
    Zeng, Pingfei
    Xin, Tao
    [J]. RESEARCH IN SCIENCE EDUCATION, 2020, 50 (04) : 1369 - 1388
  • [2] Developing a learning progression for number sense based on the rule space model in China
    Chen, Fu
    Yan, Yue
    Xin, Tao
    [J]. EDUCATIONAL PSYCHOLOGY, 2017, 37 (02) : 128 - 144
  • [3] Applying the Rule Space Model to Develop a Learning Progression for Thermochemistry
    Fu Chen
    Shanshan Zhang
    Yanfang Guo
    Tao Xin
    [J]. Research in Science Education, 2017, 47 : 1357 - 1378
  • [4] Applying the Rule Space Model to Develop a Learning Progression for Thermochemistry
    Chen, Fu
    Zhang, Shanshan
    Guo, Yanfang
    Xin, Tao
    [J]. RESEARCH IN SCIENCE EDUCATION, 2017, 47 (06) : 1357 - 1378
  • [5] Developing a Conceptual Model of Intelligence Analysis
    Borek, John J.
    [J]. INTERNATIONAL JOURNAL OF INTELLIGENCE AND COUNTERINTELLIGENCE, 2019, 32 (04) : 805 - 828
  • [6] Latent class analysis and model selection
    Dias, JG
    [J]. FROM DATA AND INFORMATION ANALYSIS TO KNOWLEDGE ENGINEERING, 2006, : 95 - 102
  • [7] Latent Space Model for Analysis of Conventions
    Afshar, Reza Refaei
    Asadpour, Masoud
    [J]. 2015 INTERNATIONAL SYMPOSIUM ON ARTIFICIAL INTELLIGENCE AND SIGNAL PROCESSING (AISP), 2015, : 290 - 294
  • [8] A study on the learning of statistics with the rule space model
    Zhang, QH
    Dai, HQ
    [J]. INTERNATIONAL JOURNAL OF PSYCHOLOGY, 2004, 39 (5-6) : 22 - 22
  • [9] Conceptual Change in Science Teaching and Learning: Introducing the Dynamic Model of Conceptual Change
    Nadelson, Louis S.
    Heddy, Benjamin C.
    Jones, Suzanne
    Taasoobshirazi, Gita
    Johnson, Marcus
    [J]. INTERNATIONAL JOURNAL OF EDUCATIONAL PSYCHOLOGY, 2018, 7 (02): : 151 - 195
  • [10] Developing tourist typology based on environmental concern: an application of the latent class analysis model
    Nusrat Batool
    Zubair Ahmad Dada
    Shamim Ahmad Shah
    [J]. SN Social Sciences, 2 (7):