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Taherkhani, Ahmad; Malmi, Lauri – Journal of Educational Data Mining, 2013
In this paper, we present a method for recognizing algorithms from students programming submissions coded in Java. The method is based on the concept of "programming schemas" and "beacons". Schemas are high-level programming knowledge with detailed knowledge abstracted out, and beacons are statements that imply specific…
Descriptors: Programming, Mathematics, Computer Science Education, Methods
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Taherkhani, Ahmad; Korhonen, Ari; Malmi, Lauri – Computer Science Education, 2012
In this study, we examined freshmen students' sorting algorithm implementations in data structures and algorithms' course in two phases: at the beginning of the course before the students received any instruction on sorting algorithms, and after taking a lecture on sorting algorithms. The analysis revealed that many students have insufficient…
Descriptors: Foreign Countries, Classification, Mathematics, Computer Science Education
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Malmi, Lauri; Karavirta, Ville; Korhonen, Ari; Nikander, Jussi – Journal on Educational Resources in Computing, 2005
In this paper, we present our experiences in using two automatic assessment tools, TRAKLA and TRAKLA2, in a second course of programming. In this course, 500-700 students have been enrolled annually during the period 1993-2004. The tools are specifically designed for assessing algorithm simulation exercises in which students simulate the working…
Descriptors: Feedback (Response), Evaluation, Grading, Mathematics
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Surakka, Sami; Malmi, Lauri – Computer Science Education, 2005
This case study considered the syllabus of the first and second year studies in computer science. The aim of the study was to reveal which topics covered in the syllabi were really needed during the following years of study or in working life. The program that was assessed in the study was a Masters program in computer science and engineering at a…
Descriptors: Masters Programs, Computer Science, Engineering Education, Foreign Countries