Assessing Secondary School Students' Justifications for Supporting or Rejecting a Scientific Hypothesis in the Physics Lab

被引:7
作者
Ludwig, Tobias [1 ]
Priemer, Burkhard [2 ]
Lewalter, Doris [3 ]
机构
[1] Karlsruhe Univ Educ, Inst Phys & Tech Educ, Bismarckstr 10, D-76133 Karlsruhe, Germany
[2] Humboldt Univ, Dept Phys Phys Educ, Newtonstr 15, D-12489 Berlin, Germany
[3] Tech Univ Munich, TUM Sch Educ, Arcisstr 21, D-80333 Munich, Germany
关键词
Argumentation; Justification; Data; Experimentation; Hypotheses; Physics; ANOMALOUS DATA; MAXIMUM-LIKELIHOOD; ARGUMENTATION; SCIENCE; RESPONSES; KNOWLEDGE; INQUIRY; MODEL; CONSTRUCTION; PERFORMANCE;
D O I
10.1007/s11165-019-09862-4
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Justifications play a central role in argumentation, which is a core topic in school science education. This paper contributes to this field of research by presenting two studies in which we assess students' justifications for supporting or rejecting hypotheses in the physics lab based on self-collected, anomalous experimental data, which are defined as data that contradict a prior belief, hypothesis, or concept. Study 1 analyzes the spectrum of possible justifications students give in semi-structured interviews and categorizes these into ten types: appeal to an authority, data as evidence, experimental competence (technical/skills), experimental competence (self-concept), ignorance, intuition, measurement uncertainties (explicit), measurement uncertainties (implicit), suitability of the experimental setup, and use of theoretical concepts. Study 2 presents a questionnaire suitable for medium- and large-scale assessments that probes students' use of four of these types of justifications: appeal to an authority, data as evidence, intuition, and measurement uncertainties (explicit). The questionnaire can be administered in 5-10 minutes and is designed for students in the eighth and ninth grades. We outline the development and quality of the assessment tools of both studies, reporting on the content validity, factorial validity, discriminant validity, convergent validity, and reliability of the questionnaire. The two studies shed light on the various justifications students use when evaluating anomalous data at a fine-grained level.
引用
收藏
页码:819 / 844
页数:26
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