Unravelling the Cognition of Coding in 3-to-6-year OldsErstpublikation in: ICER ’18, August 13–15, 2018, Espoo, Finland
Publikationsdatum:
  Zu finden in: ICER 2018, 2018
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Zusammenfassungen
There is growing interest in teaching children computer programming ("coding") to prepare them for the demands of our increasingly digital society. However, we do not yet understand what cognitive skills children need in order to learn to code. The aim of our research program is to identify the requisite skills, with the goal of building a cognitive model of coding. The present research used a wooden robot ("Cubetto", www.primotoys.com) to investigate coding ability in young children. Exp. 1 describes the development and evaluation of the assessment instrument, which was tested with 18 3-to-5-year-old children. The instrument ("Coding Development (CODE) Test 3-6") was used in Exp. 2 to investigate the relationship between coding skill and "cognitive compiling" - the ability to formulate mental action plans in natural language. Thirty 5-to-6-year-olds participated in Exp. 2. Using Bayesian statistics, we found evidence that cognitive compiling predicts coding performance above and beyond age and nonverbal intelligence. We evaluate the outcomes and reflect on whether cognitive compiling depends solely on maturation or might be a skill that can be trained, and if so, how this could be done.
Dieses Konferenz-Paper erwähnt ...
 Fragen KB IB clear | Ab welchem Alter können/sollen Kinder programmieren? |
 Begriffe KB IB clear | AgentSheets
, Dr. Scratch
,  Kinderchildren
,  Programmierenprogramming
|
Dieses Konferenz-Paper erwähnt vermutlich nicht ... 
Nicht erwähnte Begriffe | AgentCubes, Eltern |
Zitationsgraph
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6 Erwähnungen
- Proceedings of the 14th Workshop in Primary and Secondary Computing Education, WiPSCE 2019, Glasgow, Scotland, UK, October 23-25, 2019 (2019)
- Cognitive Correlates of Computational Thinking - Evaluation of a Blended Unplugged/Plugged-In Course (Katerina Tsarava, Luzia Leifheit, Manuel Ninaus, Marcos Román-González, Martin V. Butz, Jessika Golle, Ulrich Trautwein, Korbinian Moeller) (2019)
- Cognitive Correlates of Computational Thinking - Evaluation of a Blended Unplugged/Plugged-In Course (Katerina Tsarava, Luzia Leifheit, Manuel Ninaus, Marcos Román-González, Martin V. Butz, Jessika Golle, Ulrich Trautwein, Korbinian Moeller) (2019)
- Informatics in Schools. New Ideas in School Informatics (Sergei Pozdniakov, Valentina Dagienė) (2019)
- Observing Abstraction in Young Children Solving Algorithmic Tasks (Hylke H. Faber, Josina I. Koning, Menno D. M. Wierdsma, Henderien W. Steenbeek, Erik Barendsen)
- Observing Abstraction in Young Children Solving Algorithmic Tasks (Hylke H. Faber, Josina I. Koning, Menno D. M. Wierdsma, Henderien W. Steenbeek, Erik Barendsen)
- If They Build It, Will They Understand It? - Exploring the Relationship between Student Code and Performance (Jean Salac, Diana Franklin) (2020)
- ICER 2020 - International Computing Education Research Conference, Virtual Event, New Zealand, August 10-12, 2020 (Anthony V. Robins, Adon Moskal, Amy J. Ko, Renée McCauley) (2020)
- Analyzing Viscuit Programs Crafted by Kindergarten Children (Takeshi Watanabe, Yuriko Nakayama, Yasunori Harada, Yasushi Kuno) (2020)
- Analyzing Viscuit Programs Crafted by Kindergarten Children (Takeshi Watanabe, Yuriko Nakayama, Yasunori Harada, Yasushi Kuno) (2020)
- Programming in K–6 - Understanding Errors and Supporting Autonomous Learning (Jacqueline Staub) (2021)
- Launching Registered Report Replications in Computer Science Education Research (Neil Brown, Eva Marinus, Aleata Hubbard Cheuoua) (2022)
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