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Naude, Kevin A.; Greyling, Jean H.; Vogts, Dieter – Computers & Education, 2010
We present a novel approach to the automated marking of student programming assignments. Our technique quantifies the structural similarity between unmarked student submissions and marked solutions, and is the basis by which we assign marks. This is accomplished through an efficient novel graph similarity measure ("AssignSim"). Our experiments…
Descriptors: Grading, Assignments, Correlation, Interrater Reliability
Araujo, Ives Solano; Veit, Eliane Angela; Moreira, Marco Antonio – Computers & Education, 2008
The purpose of this study was to investigate undergraduate students' performance while exposed to complementary computational modelling activities to improve physics learning, using the software "Modellus." Interpretation of kinematics graphs was the physics topic chosen for investigation. The theoretical framework adopted was based on Halloun's…
Descriptors: Learning Theories, Experimental Groups, Control Groups, Undergraduate Students
Peer reviewedKong, Siu-Cheung; Kwok, Lam-For – Computers & Education, 1999
Describes the development of an Interactive Teaching and Learning Environment for Graph Sketching (ITALEGS) of polynomial graphs at the college level. Highlights include hypermedia examples, the design of questionnaires for evaluation, and enhancing effectiveness by incorporating pedagogical content knowledge in computer-assisted instruction.…
Descriptors: College Mathematics, Computer Assisted Instruction, Computer Software Development, Courseware

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