Table 2 - uploaded by Siqi Han
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Lack of preparation in science leads to high rates of attrition among science, technology, engineering, and mathematics (STEM) majors, even among students who are highly oriented toward STEM. Using data for twenty-seven countries from the 2006 Program for International Student Assessment, we compare the United States with other industrialized count...
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... speak to this question and the existing lit- erature on the relationship between standard- ization and student performance, we first ex- amine whether curricular standardization is related to higher overall student science per- formance. Table 2 shows the results from the HLM analysis predicting individual science performance. The first model includes only individual-level predictors. ...
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The main research question of this research study is how to design a valid and reliable holistic rubric to be used as a criterion for the comparison of the STEAM model by analyzing different countries’ science curricula. Considering this question, STEAM model rubrics was created by examining the ways of shaping science education policies. The research was qualitative, and the design of this research was descriptive. Document analysis was carried out for data collection process. Content analysis was used for analyzing data. The raters selected conveniently from science education and measurement evaluation fields were asked to rate the Turkish and Finnish Science Curricula as documents through the developed rubric. The rating process was carried out by associating appropriate themes obtained from literature. Sub-dimensions of the rubric developed were examined by teachers and researchers who are experts in the STEAM fields, measurement and evaluation. For calculating the reliability, the researchers graded a content about the Turkish and Finnish Science Curricula from the STEAM learning areas with this rubric. Fleiss Kappa and Miles Huberman consistency statistics were used for providing inter-rater validity. It obtained valid and reliable criteria for making significant contributions and comparisons of the STEAM model in science education policies. Keywords: STEAM model, holistic graded scoring key (rubrics), science education, educational politics
The conventional way of teaching probability, often using coins, dice, and the standard deck of cards has continually been a challenge for many students. Most of the time, students are unable to relate to these learning materials causing them to hold numerous misconceptions. This study focuses on how visualization can be developed as a way to bring students to the level of mathematical abstraction expected of them when they finish high school by using a specially designed learning material. The conceptualization process of the learning material that taps on two important unique characteristics of Filipino students, namely visuals and humor, is also discussed. The result shows that student's affinity with the material addresses misconceptions and helps students develop a more powerful conceptual understanding of probabilities.