In Modeling Theory in Science Education, Halloun (2004) adopts the word ‘paradigm’, but his use of the term is radically different from that of Kuhn. In this paper,
I explore some of the differences between Kuhn’s paradigms and Halloun’s paradigms. Where Kuhn’s paradigms are public, community-defining
exemplars of practice, Halloun’s paradigms are private, individualized ways of thinking. Where Kuhn writes of the paradigm
shift as a revolutionary, vision-altering conversion experience, Halloun writes of a gradual evolution from one way of thinking
to another and an easy back-and-forth switch between paradigms. Since Kuhn’s paradigms are self-enclosed and incommensurable,
there is no objective standard by which one paradigm can be shown to be superior to the other. But Halloun uses ‘viability’
as a standard for paradigm choice. Underlying all of this is the more basic question of whether the history of science is
an appropriate metaphor for student progress in the classroom. I conclude with some brief thoughts on this question. 相似文献
INTRODUCTION Tracing a planar implicit curve f(x, y)=0 on a rectangular region [xl, xr]×[yb, yt] is of great interest in Computer-Aided Design and Computer Graphics. While parametric curves are easy to plot, plotting implicit curves is a challenging problem. Planar im- plicit curve plotting method can be classified into two categories (Shou et al., 2005; Martin et al., 2002; Lopes et al., 2002). In the first category are subdivi- sion methods (Shou et al., 2005; Martin et al., 2002) … 相似文献
This study illustrates how a diagnostic testing model can be used to make detailed comparisons between student populations
participating in international assessments. The performance of Turkish students on the TIMSS-R mathematics test was reanalyzed
with a diagnostic testing model called the Rule Space Model. First, mathematical and cognitive skills (‘attributes’) measured
by the test were determined. One hundred sixty-two items were coded in terms of their attribute involvement, creating an incidence
matrix—the Q-matrix. Using the Q-matrix and the student response data, each student’s attribute mastery profile was determined.
Mean attribute mastery levels of Turkish students were computed and compared to those of their American peers. It was shown
that Turkish students were weak in algebra and probability/statistics. They also demonstrated poor profiles in skills such
as applying rules in algebra, approximation/estimation, solving open-ended problems, recognizing patterns and relationships,
and quantitative reading.
The impact of misspecifying covariance matrices at the second and third levels of the three-level model is evaluated. Results indicate that ignoring existing covariance has no effect on the treatment effect estimate. In addition, the between-case variance estimates are unbiased when covariance is either modeled or ignored. If the research interest lies in the between-study variance estimate, including at least 30 studies is warranted. Modeling covariance does not result in less biased between-study variance estimates as the between-study covariance estimate is biased. When the research interest lies in the between-case covariance, the model including covariance results in unbiased between-case variance estimates. The three-level model appears to be less appropriate for estimating between-study variance if fewer than 30 studies are included. 相似文献
INTRODUCTION The soil-water characteristic curve (SWCC) gives the relationship between the amount of water in the soil (i.e. gravimetric or volumetric water content) and soil suction (i.e. matric suction at low suction and total suction at high suction). Many properties of a partially saturated soil such as the coefficient of permeability, shear strength and volume strain, pore size distribution, the amount of water contained in the pores at any suction, can be obtained from the SWCC. … 相似文献
The influence of KH\-2PO\-4, peptone and brown sugar on Termitomyces fuliginosu's mycelium formation was studied with the application of the design of quadratic rotation general combination based on determining the growth curve. A quadratic regression model of biomass to the doses of the above three factors was established. The model fit well and therefore the optimum fermentation condition was obtained. Responses of biomass to the three single factors and to their interactions were discussed. Thus, the highest level of biomass, 21.1 g/L, appeared under the optimized conditions when the initial KH\-2PO\-4, peptone and brown sugar were 1 g/L, 4 g/L and 72 g/L respectively. 相似文献
This study examines the organizational characteristics of 51 higher education institutions in relationship to student performance and growth. The study first finds that organizational measures of mission, size, wealth, complexity, and selectivity are statistically represented by the 2-year versus 4-year college mission. Findings indicate that 2-year and 4-year campuses indeed do exert significantly different influences on undergraduate GPA and self-reported intellectual growth. Next, the study uses both OLS regression and HLM to examine these influences. High school percentile rank and college classroom experiences are better predictors of Cum GPA at 4-year institutions, while student effort is a better predictor of GPA at 2-year institutions. Whereas the most important predictors of Cum GPA include precollege measures such as high school percentile rank and SAT score, the most influential predictors of student intellectual growth are campus experiences including classroom vitality, peer support, student effort, commitment, and involvement. Controlling for all other variables, students at 2-year institutions receive higher grades, and students at 4-year campuses experience more growth. 相似文献
Background: Reading is an interactive and constructive process of making meaning by engaging a variety of materials and sources and by participating in reading communities at school or in daily life.
Aim: The purpose of this study was to explore the factors affecting digital reading literacy among upper-elementary school students.
Method: A 3-stage stratified cluster sampling was implemented that resulted in a sample of 592 upper-elementary students from 29 classes in 7 schools. Self-Regulated Learning Strategies Assessment (S-RLSA), Digital Reading Literacy Assessment (DRLA), and student reports of their parents’ education backgrounds were used to collect data on the outcome and predictor variables. Interpretation of these data involved two highly regarded statistical techniques. First, structural equation modeling was used to explore relationships amongst the constructs. Second, multi-group invariance (MI) analyses were used to assess the influence of parental education and self-regulated learning strategies on students’ digital reading literacy.
Results: Enriching students’ family learning resources and strengthening their self-regulated learning abilities could have very important influences on promoting upper-elementary school students' digital reading literacy -webpage information retrieval, reading and communication abilities.
Conclusions: This study also provides information on how teachers can address student resources to improve digital reading literacy and self-regulated strategies. 相似文献