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Towards a Framework for Designing and Analyzing CS Learning Environments

Apiola, Mikko (författare)
Tedre, Matti (författare)
Stockholms universitet,Institutionen för data- och systemvetenskap
Lattu, Matti (författare)
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Pasanen, Tomi A. (författare)
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 (creator_code:org_t)
IEEE Computer Society, 2012
2012
Engelska.
Ingår i: 2012 Frontiers in Education Conference Proceedings. - : IEEE Computer Society. - 9781467313513 ; , s. 600-605
  • Konferensbidrag (refereegranskat)
Abstract Ämnesord
Stäng  
  • This paper focuses on understanding and develop- ing learning environments for computer science education. We present two models that we have successfully used in European and African contexts. The first model, Computer Science Learning Environments (CSLE), presents seven dimensions of computer science courses, which should be considered in learning environment design for computer science. The second model, Investigative Learning Environment (ILE), presents an action plan model, inspired by action research, for combining educational research and computer science teaching. In the empirical section we outline two case studies where these models were used to design and implement computer science learning environments in two different learning contexts. In the first case in University of Helsinki, Finland, we developed and studied a method of learning-by-inventing in a robotics programming course. That course was designed around problem discovery and inventing, and it employed LEGO (R) Mindstorms robots. In the second case in Tumaini University, Tanzania, we designed an environment for studying and improving introductory programming courses. Both models showed to be useful for designing, implementing, developing, and analyzing the courses in both learning contexts.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Information Systems (hsv//eng)

Nyckelord

Computer science education
learning environments
data- och systemvetenskap
Computer and Systems Sciences

Publikations- och innehållstyp

ref (ämneskategori)
kon (ämneskategori)

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