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Download full textEzen-Can, Aysu; Boyer, Kristy Elizabeth – International Educational Data Mining Society, 2015
The tremendous effectiveness of intelligent tutoring systems is due in large part to their interactivity. However, when learners are free to choose the extent to which they interact with a tutoring system, not all learners do so actively. This paper examines a study with a natural language tutorial dialogue system for computer science, in which…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Computer Science Education, Problem Solving
Direct linkVodounon, Maurice A. – Journal of Computers in Mathematics and Science Teaching, 2004
The primary purpose of this study was to analyze different perceptions displayed by novice programmers in the C++ programming language, and determine if modularization ability could be improved by an instructional treatment that concentrated on solving computer programs from previously existing modules. This study attempted to answer the following…
Descriptors: College Students, Academic Achievement, Student Attitudes, Programming Languages
Peer reviewedvan Merrienboer, Jeroen J. G. – Journal of Research on Computing in Education, 1990
Describes two experiments, one with undergraduates and one with high school students, that tested instructional strategies for teaching computer programing. The cognitive styles of impulsivity and reflection are examined, completion strategy versus generation strategy is tested, and results support a preferential model rather than a compensatory…
Descriptors: Computer Assisted Instruction, Computer Science Education, Conceptual Tempo, Higher Education
