Computer graphics for student engagement in science learning

TechTrends ◽  
2001 ◽  
Vol 45 (5) ◽  
pp. 21-23 ◽  
Author(s):  
Lauren Cifuentes ◽  
Yi-Chuan Jane Hsieh
2021 ◽  
pp. 221-240
Author(s):  
Len Unsworth ◽  
Russell Tytler ◽  
Lisl Fenwick ◽  
Sally Humphrey ◽  
Paul Chandler ◽  
...  

2019 ◽  
Vol 1402 ◽  
pp. 055052
Author(s):  
Y Rahmawati ◽  
A Ridwan ◽  
A Mardiah ◽  
W Sandryani ◽  
P C Mawarni ◽  
...  

2020 ◽  
Vol 8 (2) ◽  
pp. 662-671
Author(s):  
Yuli Rahmawati ◽  
Achmad Ridwan ◽  
Ucu Cahyana ◽  
Tyaswati Wuryaningsih

Author(s):  
Dermot Kerr ◽  
◽  
Sonya Coleman

Group projects are an important part of undergraduate computer science learning because of their role in developing working skills which are vital for professionals in the computing industry. While group projects offer many potential learning benefits there is no guarantee that the development of working skills will be achieved. In fact, group projects introduce their own stresses and strains for students due to the need to share the workload as fairly as possible, in how individual contributions are measured and recognised, the effect this has on individual performance, and ultimately how this contributes to the student’s success in the course. Group projects which are not designed, supervised and assessed in a way that promotes meaningful teamwork and collaboration can lead to failure. In this paper we demonstrate practical use of the WebPA system to allow students to perform self- and peer-assessment to effectively measure individual contributions within group projects. The impact of the tools in supporting and measuring performance is validated through quantitative student feedback where we demonstrate significant student engagement in the assessment process and student satisfaction in mark allocation.


Author(s):  
Lee D. Peachey ◽  
Lou Fodor ◽  
John C. Haselgrove ◽  
Stanley M. Dunn ◽  
Junqing Huang

Stereo pairs of electron microscope images provide valuable visual impressions of the three-dimensional nature of specimens, including biological objects. Beyond this one seeks quantitatively accurate models and measurements of the three dimensional positions and sizes of structures in the specimen. In our laboratory, we have sought to combine high resolution video cameras with high performance computer graphics systems to improve both the ease of building 3D reconstructions and the accuracy of 3D measurements, by using multiple tilt images of the same specimen tilted over a wider range of angles than can be viewed stereoscopically. Ultimately we also wish to automate the reconstruction and measurement process, and have initiated work in that direction.Figure 1 is a stereo pair of 400 kV images from a 1 micrometer thick transverse section of frog skeletal muscle stained with the Golgi stain. This stain selectively increases the density of the transverse tubular network in these muscle cells, and it is this network that we reconstruct in this example.


Author(s):  
J.R. McIntosh ◽  
D.L. Stemple ◽  
William Bishop ◽  
G.W. Hannaway

EM specimens often contain 3-dimensional information that is lost during micrography on a single photographic film. Two images of one specimen at appropriate orientations give a stereo view, but complex structures composed of multiple objects of graded density that superimpose in each projection are often difficult to decipher in stereo. Several analytical methods for 3-D reconstruction from multiple images of a serially tilted specimen are available, but they are all time-consuming and computationally intense.


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