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Direct linkSorva, Juha; Lönnberg, Jan; Malmi, Lauri – Computer Science Education, 2013
Visual program simulation (VPS) is a new, interactive form of educational program visualisation, in which learners use graphical controls to direct a program's execution rather than simply watching an animation of it. In this article, we report on a qualitative empirical study of novice programmers learning through VPS. From an analysis of…
Descriptors: Visualization, Computer Uses in Education, Interviews, Observation
Download full textKommers, Piet, Ed.; Issa, Tomayess, Ed.; Isaías, Pedro, Ed.; Hui, Wendy, Ed. – International Association for Development of the Information Society, 2019
These proceedings contain the papers and poster of the 6th International Conference on Educational Technologies 2019 (ICEduTech 2019), which has been organised by the International Association for Development of the Information Society and co-organised by the Lingnan University, in Hong Kong, February 8-10, 2019. ICEduTech is the scientific…
Descriptors: Educational Technology, Elementary School Students, Reflection, Computer Mediated Communication
Rajala, Teemu; Laakso, Mikko-Jussi; Kaila, Erkki; Salakoski, Tapio – Journal of Information Technology Education, 2008
Program visualization is one of the various methods developed over the years to aid novices with their difficulties in learning to program. It consists of different graphical--often animated--and textual objects, visualizing the execution of programs. The aim of program visualization is to enhance students' understanding of different areas of…
Descriptors: College Instruction, College Students, Control Groups, Visualization
Laakso, Mikko-Jussi; Myller, Niko; Korhonen, Ari – Educational Technology & Society, 2009
In this paper, two emerging learning and teaching methods have been studied: collaboration in concert with algorithm visualization. When visualizations have been employed in collaborative learning, collaboration introduces new challenges for the visualization tools. In addition, new theories are needed to guide the development and research of the…
Descriptors: Visualization, Teaching Methods, Classification, Comparative Analysis
Sorva, Juha; Karavirta, Ville; Korhonen, Ari – Journal of Information Technology Education, 2007
Expert programmers possess schemas, abstractions of concrete experiences, which help them solve programming problems and lessen the load on their working memory during problem solving. Possession of schemas is a key difference between novices and experts, which is why instructors need to help students construct them. One recent tool for…
Descriptors: Feedback (Response), Introductory Courses, Programming, Teaching Methods
Laine, Teemu H.; Vinni, Mikko; Sedano, Carolina Islas; Joy, Mike – ALT-J: Research in Learning Technology, 2010
This article presents the features, design and architecture of the Myst pervasive game platform that has been applied in creating pervasive mobile learning games in various contexts such as science festivals and museums in Finland. Based on our experiences with the development, we draw a set of design principles for creating successfully a…
Descriptors: Electronic Learning, Educational Games, Young Adults, Museums
Lavonen, Jari M.; Lattu, Matti; Meisalo, Veijo P. – Journal of Technology Education, 2001
Finnish eighth graders used computer control software to find creative solutions to technological problems. The learning environment encouraged problem-centered and creative approaches. More systematic teaching of programming skills before problem solving was recommended. (Contains 32 references.) (SK)
Descriptors: Computer Software, Creativity, Foreign Countries, Grade 8
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
