Model Pembelajaran Instruction, Doing, Dan Evaluating (Mpide) Dengan Video Kejadian Fisika Dalam Pembelajaran Fisika Di SMA

This research examines the “Model Pembelajaran Instruction, Doing, dan Evaluating (MPIDE)” with Physics Phenomenon Video in Physics Instruction at SMA. The research\u27s purpose are to determine the students activities, the effectiveness of model, and the students learning achievement retention. This research is a research action that implicated by one group pretest and posttest design for testing. This research conducted on SMA of Class XI with the techniques of data collection is the observation, interviews, and tests. Data analysis techniques are percentage, continuesly its described. The results of the students activities , the effectiveness of model, and the students learning achievement retention can improve each cycle. The average of the students activities from cycle one to cycle two is 69,17% to 73,33% with active activity category. The average of the effectiveness of model from cycle one to cycle two is 0.68 with anough effective category to 0.75 with effective category. The average of students learning achievement retention from cycle one to cycle two is 92.56% to 93.19% with high category. The research can be concluded that the model can improve the students activities, the effectiveness of model, and the students learning achievement retention when the model completed by dubbing on video

Synopsis of MVC deaths and the percentage of which are related to alcohol.

<p>a) Contour plot of the frequency distribution of MVC deaths (raw counts) <i>D</i> over all states computed annually for 30 years. Dark/light colors indicate small/large numbers of states with the given value of <i>D</i>. b) Snapshots of <i>D</i> normalized between zero and one for three representative years. c) Contour plot of the frequency distribution of the percentage of MVC deaths related to alcohol <i>D_a</i> for all states over thirty years. Dark/light colors indicate small/large numbers of states with the given value of <i>D_a</i>. d) Snapshots of <i>D_a</i> values normalized between zero and one for three representative years. All colored maps were created with the MATLAB Mapping toolbox.</p

Mean correlation function for state characteristics and outcomes, computed using geographic and ideological distance as indicated by the column heading.

<p>Horizontal axes show distance <i>r</i> and vertical axes <i>C</i>(<i>r</i>). Distances are normalized from zero to one based on the maximum distance between state centers and discretized into eleven equal bins. The largest four bins are combined to lessen the effect of sparse occupancy at large distances, and the value for the correlation function of the set of state pairs in the combined bin is shown at 0.82 on the horizontal axis. Points indicate mean value and error bars one standard deviation taken over selected decade.</p

Path diagram of structural equation models for state characteristics and outcomes.

<p>Each variable is normalized between 0 and 1 by dividing all values by its largest value in the thirty year time span. SEM diagrams are shown for the models in a) <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0123339#pone.0123339.e001" target="_blank">Eq (1)</a>, b) <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0123339#pone.0123339.e002" target="_blank">Eq (2)</a>, and c) <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0123339#pone.0123339.e003" target="_blank">Eq (3)</a>. All relationships, shown as arrows, denote free parameters identified by the model and given in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0123339#pone.0123339.t001" target="_blank">Table 1</a> with their statistical significances.</p

Histograms of frequency of state pairs separated by a distance <i>r</i> computed using geographic location and political ideology.

<p>Horizontal axes show distance and vertical axes percentage of state pairs. Distances are normalized from zero to one and discretized into eleven equal bins; the largest four are combined to lessen the effect of sparse occupancy at large distances. Types of distances are given in the subfigure titles. For subfigures using ideological distances, error bars indicate one standard error over the selected decade.</p

Snapshots of state characteristics for three representative years.

<p>Characteristics are: a) vehicle miles travelled <i>M</i>, b) per capita alcohol consumption <i>A</i>, c) proportion of relevant laws adopted <i>L</i>, and d) state political ideology <i>I</i>. Each characteristic is normalized between zero and one for all states independently for each year. All colored maps were created with the MATLAB Mapping toolbox.</p

Schematic of positions for IMU and FSRs.

<p>a) An IMU is attached to the shoe and φ measures the angular position in the sagittal plane with respect to resting position and b) FSRs are placed on the sole of the foot at the heel and the first and fifth metatarsals.</p

Demographic data and experimental details for children with hemiplegia.

a<p>Gross Motor Function Measure GMFM-88 and Classification System.</p>b<p>Gross Motor Function Measure GMFM-66.</p

<i>p</i> values from ANOVA on time spent in gait phases depending on health status.

<p>Percent time in each gait phase is the dependent variable and health status is the independent variable, reported as the value of F <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0073152#pone.0073152-Petrarca1" target="_blank">[37]</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0073152#pone.0073152-Alexander1" target="_blank">[2]</a> with the <i>p</i> value in parentheses. ^aF <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0073152#pone.0073152-Holt1" target="_blank">[35]</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0073152#pone.0073152-Alexander1" target="_blank">[2]</a>, due to patient 3′s lack of completion of task <i>T.</i></p

Comparison of degree, clustering coefficient, and betweeness centrality for each condition.

<p>Conditions marked with different letters are significantly different. The bars show standard error.</p