Matti Tedre

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This is not an official homepage of Matti Tedre and it is not possible to contact Matti Tedre here!

2 Bücher von Matti Tedre

The Science of Computing

Shaping a Discipline

(Matti Tedre) (2004) local

Computational Thinking

(Peter Denning, Matti Tedre) (2019)

14 Texte von Matti Tedre

Jahr	Abrufe	Text	Texttyp
2006		The development of computer science - a sociocultural perspective (Matti Tedre) erschienen in Koli Calling 2006	Konferenz-Paper
2008		Three traditions of computing - what educators should know (Matti Tedre, Erkki Sutinen) erschienen in Computer Science Education 3/2008 (Seite 153 - 170)	Journal-Artikel
2009		Undergraduate research in CS - a global perspective (Lawrence D'Antonio, Roger D. Boyle, Amruth N. Kumar, Logan Muller, Claudia Roda, Matti Tedre) erschienen in ITiCSE 2009 (Seite 139 - 140)	Konferenz-Paper
2012		New perspectives on the pedagogy of programming in a developing country context (Mikko Apiola, Matti Tedre) erschienen in Computer Science Education 3/2012 (Seite 285 - 313)	Journal-Artikel
2013		Pedagogy of 1 - 1 computing in Colombia: a case study of three rural schools (David Silva, Matti Tedre, Mikko Apiola) erschienen in Koli Calling 2013	Konferenz-Paper
2013		Social media in everyday learning - how Facebook supports informal learning among young adults in South Africa (Tina Klomsri, Linn Grebäck, Matti Tedre) erschienen in Koli Calling 2013	Konferenz-Paper
2013		An easy approach to epistemology and ontology in computing theses (Matti Tedre, John Pajunen) erschienen in Koli Calling 2013	Konferenz-Paper
2013		Methodology education in computing - towards a congruent design approach (Matti Tedre) erschienen in SIGCSE 2013 (Seite 159 - 164)	Konferenz-Paper
2017	9, 9, 10, 7, 17, 13, 2, 3, 4, 6, 2, 2, 2	Misconceptions About Computer Science (Peter Denning, Matti Tedre, Pat Yongpradit) erschienen in Communications of the ACM, Vol. 60 No. 3, Pages 31-33	Journal-Artikel
2018	6, 6, 7, 20, 16, 21, 4, 5, 1, 3, 5, 5, 5	The Nature of Computing as a Discipline (Matti Tedre) erschienen in Computer Science Education	Kapitel
2019	2, 2, 7, 5, 10, 10, 4, 2, 3, 3, 1, 1, 1	L’intelligence artificielle dans la formation (Pierre Dillenbourg) erschienen in Koli Calling 2016 (Seite 120 - 129)	Text
2021	35, 3, 2, 2, 3, 1, 3, 2, 1, 1	Computational Thinking - A Professional and Historical Perspective (Matti Tedre, Peter Denning) erschienen in Computational Thinking in Education	Kapitel
2021	55, 3, 3, 6, 2, 2	Computational Thinking for Professionals (Peter Denning, Matti Tedre) erschienen in Communications of the ACM, December 2021, Vol. 64 No. 12, Pages 30-33	Journal-Artikel
2022		Computational Thinking 2.0 (Matti Tedre) erschienen in WiPSCE '22	Konferenz-Paper

Definitionen von Matti Tedre

computational thinking

The working paraphrase definition of CT has expanded: “CT is the mental skills and practices for (1) designing computations that get computers to do jobs for us, and (2) explaining and interpreting the world as a complex of information processes.”
von Peter Denning, Matti Tedre im Text Computational Thinking for Professionals (2021)
Computational Thinking, a K–12 education movement begun in 2006, has defined a curriculum to teach basic computing in pre-college schools. It has been dramatically more successful than prior computer literacy or fluency movements at convincing K–12 school teachers and boards to adopt a computer curriculum. Learning problem-solving with algorithms is seen widely as valuable for students. Hundreds of CT initiatives have blossomed around the world. By 2010, the movement settled on a definition of CT that can be paraphrased as “Designing computations that get computers to do jobs for us.”
von Peter Denning, Matti Tedre im Text Computational Thinking for Professionals (2021)
One oft-cited overview lists nine fundamental concepts as the core of CT:
- Abstraction;
- Data collection;
- Data analysis;
- Data representation;
- Algorithms and procedures;
- Problem decomposition;
- Automation;
- Parallelization; and
- Simulation
von Peter Denning, Matti Tedre im Text Computational Thinking for Professionals (2021)
Computational thinking is the mental skills and practices for
- designing computations that get Computers to do jobs for us, and
- explaining and interpreting the world as a complex of information processes.
von Peter Denning, Matti Tedreim Buch Computational Thinking (2019) im Text What is computational Thinking?

Bemerkungen von Matti Tedre

Von Matti Tedre gibt es im Biblionetz Bemerkungen zu:

Texte KB IB clear	An easy approach to epistemology and ontology in computing theses, Computational Thinking, Computational Thinking, Computational Thinking 2.0, Computational Thinking for Professionals, Computing as a Discipline, L’intelligence artificielle dans la formation, Methodology education in computing, Misconceptions About Computer Science, New perspectives on the pedagogy of programming in a developing country context, Pedagogy of 1, Social media in everyday learning, The development of computer science, The Nature of Computing as a Discipline, Three traditions of computing
Fragen KB IB clear	Ist Informatik eine Wissenschaft?
Aussagen KB IB clear	Berufswahlargument: Informatikkenntnisse fördern den Berufswahlentscheid in Richtung Informatik-Berufe und -Studiengänge Career argument: Computer science knowlege will give you a good career Informatik = eine Art Mathematik Informatik = Ingenieurwissenschaft Informatik ist mehr als Programmieren computer science is more than programming Problemlöseargument: Informatikkenntnisse helfen auch beim Lösen von Problemen ausserhalb der Informatik problem solving argument: knowledge in computer science fosters problem solving Programmieren ist schwierig
Begriffe KB IB clear	computational thinking computational thinking

Zeitleiste

CoautorInnen

Mikko Apiola, Roger D. Boyle, Lawrence D'Antonio, Peter Denning, Peter Denning, Peter Denning, Pierre Dillenbourg, Linn Grebäck, Tina Klomsri, Amruth N. Kumar, Logan Muller, John Pajunen, Claudia Roda, David Silva, Erkki Sutinen, Pat Yongpradit

Zitationsnetz

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Begriffswolke von Matti Tedre

Begriffswolke
APH KB IB clear

Alexa, algorithmic bias, Algorithmus algorithm, Arbeit work, Arbeitslosigkeit unemployment, Automatisierung, big data big data, Bildung education (Bildung), Computation (GPoC), computational thinking computational thinking, Computer computer, computer science unplugged computer science unplugged, Daten data, Denken thinking, Design design, Digitalisierung, Dilemma, Dynabook Dynabook, Ethik ethics, explainable AI, facebook, Globalisierung globalization, Google, Halteproblem, Hochschule higher education institution, Informatik computer science, Informatik-Didaktik didactics of computer science, Informatik-Unterricht (Fachinformatik)Computer Science Education, Informatikunterricht in der Schule, Ingenieur, Ingenieurwissenschaft / Technikwissenschaft, Innovation innovation, Intelligenz intelligence, Komplexität complexity, Konstruktionismus constructionism, Künstliche Intelligenz (KI / AI)artificial intelligence, LehrerIn teacher, Lehrplan 21, Lernen learning, LOGO (Programmiersprache)LOGO (programming language), machine learning, Maschine machine, Mathematik mathematics, Naturwissenschaft natural sciences, Neuronales Netz neural network, notional machine, NP-complete NP-complete, Paradigma paradigm, Programmieren programming, Programmiersprachen programming languages, Schule school, Schweiz Switzerland, social media / Soziale Medien social networking software, Software software, Software Engineering Software Engineering, System system, Systemdenken systems thinking, tinkering tinkering, Unterricht, Visualisierung visualization, Wissenschaft science,

Zitationsgraph

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17 Erwähnungen

Visual Program Simulation in Introductory Programming Education (Juha Sorva) (2012)
Coding Literacy - How Computer Programming Is Changing Writing (Annette Vee) (2017)
Misconceptions About Computer Science (Peter Denning, Matti Tedre, Pat Yongpradit) (2017)
ICER 2017 - Proceedings of the 2017 ACM Conference on International Computing Education Research, ICER 2017, Tacoma, WA, USA, August 18-20, 2017 (Josh Tenenberg, Donald Chinn, Judy Sheard, Lauri Malmi) (2017)
- Conceptions and Misconceptions about Computational Thinking among Italian Primary School Teachers (Isabella Corradini, Michael Lodi, Enrico Nardelli) (2017)
Computer Science Education - Perspectives on Teaching and Learning in School (Sue Sentance, Erik Barendsen, Carsten Schulte) (2018)
- 2. The Nature of Computing as a Discipline (Matti Tedre) (2018)
Informatics in Schools: Fundamentals of Computer Science and Software Engineering (Sergei Pozdniakov, Valentina Dagienė) (2018)
- Students Teach a Computer How to Play a Game (Sylvia da Rosa Zipitría, Andrés Aguirre Dorelo)
Do We Really Need Computational Thinking? (Enrico Nardelli) (2019)
Proceedings of the 14th Workshop in Primary and Secondary Computing Education, WiPSCE 2019, Glasgow, Scotland, UK, October 23-25, 2019 (2019)
- Development of a Questionnaire on Self-concept, Motivational Beliefs, and Attitude Towards Programming (Luzia Leifheit, Katerina Tsarava, Korbinian Moeller, Klaus Ostermann, Jessika Golle, Ulrich Trautwein, Manuel Ninaus) (2019)
WiPSCE '20 - Workshop in Primary and Secondary Computing Education, Virtual Event, Germany, October 28-30, 2020 (Torsten Brinda, Michal Armoni) (2020)
- Exploring the K-12 computer science curriculum standards in the U.S (Meize Guo, Anne T. Ottenbreit-Leftwich) (2020)
Computational Thinking in Education - A Pedagogical Perspective (Aman Yadav, Ulf Dalvad Berthelsen) (2021)
- 1. Computational Thinking - A Professional and Historical Perspective (Matti Tedre, Peter Denning)
- 3. A Computational Thinking Integration Model for Primary and Secondary Classrooms (Steven Azeka, Aman Yadav)
- 4. Democracy and Computation - A Normative Perspective on the Magic of the New Millennium (Ulf Dalvad Berthelsen, Carsten Fogh Nielsen)
- 5. Computational Thinking as Subject Matter - As an Independent Subject or Integrated across Subjects? (Morten Tannert, Rasmus Fink Lorentzen, Ulf Dalvad Berthelsen)
- 7. Ethnocomputing and Computational Thinking (Michael Lachney, Briana Green, Madison C. Allen, Lakisha Foy)
WiPSCE '22 - The 17th Workshop in Primary and Secondary Computing Education, Morschach, Switzerland, 31 October 2022 - 2 November 2022 (Mareen Grillenberger, Marc Berges) (2022)
- Computational Thinking 2.0 (Matti Tedre) (2022)

Volltexte

	Methodology education in computing: Fulltext at the ACM Digital Library (: , 700 kByte; : 2020-11-28)
	Computational Machines: Kapitel als Volltext (: , 119 kByte)
	Computational Thinking: Artikel als Volltext (: , 135 kByte)
	Computational Thinking: Gesamtes Buch als Volltext (: , 1078 kByte)
	Teaching Computational Thinking for all: Artikel als Volltext (: , 201 kByte)
	The Nature of Computing as a Discipline: Artikel als Volltext (: , 353 kByte)
	The Science of Computing: Gesamtes Buch als Volltext (: , 5415 kByte)
	Misconceptions About Computer Science: Artikel als Volltext (: , 1493 kByte; : 2020-11-28)
	Three traditions of computing: Artikel als Volltext (: , 232 kByte; : 2021-03-21)
	New perspectives on the pedagogy of programming in a developing country context: Artikel als Volltext (: , 214 kByte; : 2020-11-28)
	Computational Thinking for Professionals: Artikel als Volltext (: , 2222 kByte; : )
	The development of computer science: Fulltext at the ACM Digital Library (: , 41 kByte; : )
	An easy approach to epistemology and ontology in computing theses: Fulltext at the ACM Digital Library (: , 718 kByte; : )
	Social media in everyday learning: Fulltext at the ACM Digital Library (: , 701 kByte; : )
	Pedagogy of 1: Fulltext at the ACM Digital Library (: , 698 kByte; : )
	Computational Thinking 2.0: Fulltext at the ACM Digital Library (: , 2359 kByte; : )
	L’intelligence artificielle dans la formation: Artikel als Volltext (: , 337 kByte; : 2021-03-21)