How Machine Learning impacts the Undergraduate Computing Curriculum

R. Benjamin Shapiro, Rebecca Fiebrink, Peter Norvig

Erstpublikation in: Communications of the ACM, November 2018, Vol. 61 No. 11, Pages 27-29

Publikationsdatum: 01.11.2018

Zusammenfassungen

The growing importance of machine learning creates challenging questions for computing education.

Von Klappentext im Text How Machine Learning impacts the Undergraduate Computing Curriculum (2018)

Machine learning now powers a huge range of applications, from speech recognition systems to search engines, self-driving cars, and prison-sentencing systems. Many applications that were once designed and programmed by humans now combine human-written components with behaviors learned from data. This shift presents new challenges to computer science (CS) practitioners and educators. In this column, we consider how machine learning might change what we consider to be core CS knowledge and skills, and how this should impact the design of both machine learning courses and the broader CS university curriculum.

Von R. Benjamin Shapiro, Rebecca Fiebrink, Peter Norvig im Text How Machine Learning impacts the Undergraduate Computing Curriculum (2018)

Dieser wissenschaftliche Zeitschriftenartikel erwähnt ...

Personen
KB IB clear

Efthimia Aivaloglou, Erik Barendsen, John D. Ferguson, Brendan Foreman, Natasa Grgurina, Felienne Hermans, Hai Hong, Linxiao Ma, Sepehr Hejazi Moghadam, Marc Roper, Linda M. Seiter, Simon, Susan Snowdon, Juha Sorva, Jos Tolboom, Jennifer Wang, Murray Wood

Begriffe
KB IB clear

Algorithmus

algorithm,

Computer

computer, Curriculum / Lehrplan curriculum,

Hochschule

higher education institution, Informatik computer science, Informatiklehrveranstaltung auf Hochschulebene, Informatik-Unterricht (Fachinformatik)Computer Science Education,

machine learning, notional machine,

Programmieren

programming, Spracherkennung voice recognition,

Bücher

Jahr	Titel	Abrufe	IB	OB	KB	LB
2011	Computer Science Education 1/2011	11, 4, 9, 1, 7, 10, 2, 3, 5, 3, 5, 5	7	29	5	418
2011	ICER 2011 (Kate Sanders, Michael E. Caspersen, Alison Clear)	3, 9, 1, 11, 1, 5, 2, 2, 6, 1, 5, 5	22	64	5	373
2012	Visual Program Simulation in Introductory Programming Education (Juha Sorva)	6, 14, 1, 5, 16, 3, 4, 6, 8, 6, 4, 10	14	102	10	625
2013	ICER 2013 (Beth Simon, Alison Clear, Quintin I. Cutts)	9, 4, 11, 1, 3, 7, 4, 1, 5, 2, 4, 7	51	140	7	523
2016	ICER 2016 (Judy Sheard, Josh Tenenberg, Donald Chinn, Brian Dorn)	2, 13, 2, 1, 6, 1, 3, 2, 5, 4, 2, 7	45	185	7	523
2016	Informatics in Schools: Improvement of Informatics Knowledge and Perception (Andrej Brodnik, Françoise Tort)	2, 14, 1, 1, 4, 2, 4, 1, 5, 1, 4, 5	34	143	5	422

Texte

Jahr	Titel	Abrufe	IB	OB	KB	LB
2011	Investigating and improving the models of programming concepts held by novice programmers (Linxiao Ma, John D. Ferguson, Marc Roper, Murray Wood)	13, 4, 9, 1, 5, 16, 3, 2, 4, 2, 4, 7	6	17	7	435
2011	Explaining program code (Simon, Susan Snowdon)	1, 1, 2, 2, 1, 1, 4, 1, 1, 1, 1, 6	3	1	6	102
2013	Modeling the learning progressions of computational thinking of primary grade students (Linda M. Seiter, Brendan Foreman)	4, 12, 1, 3, 9, 4, 1, 1, 5, 4, 4, 6	17	7	6	292
2016	How Kids Code and How We Know (Efthimia Aivaloglou, Felienne Hermans)		9	3	0	0
2016	A New Informatics Curriculum for Secondary Education in The Netherlands (Erik Barendsen, Natasa Grgurina, Jos Tolboom)	2, 6, 2, 3, 1, 1, 5, 1, 1, 1, 1, 6	8	6	6	163
2016	K-12 Computer Science Education Across the U.S. (Hai Hong, Jennifer Wang, Sepehr Hejazi Moghadam)	2, 4, 4, 1, 1, 1, 6, 1, 1, 3, 1, 9	2	5	9	146

Dieser wissenschaftliche Zeitschriftenartikel erwähnt vermutlich nicht ...

Nicht erwähnte Begriffe

Informatik-Didaktik, Informatikunterricht in der Schule, Lehrplan 21

Zitationsgraph

Diese Grafik fensterfüllend anzeigen (SVG)

Zeitleiste

5 Erwähnungen

ICER 2019 - Proceedings of the 2019 ACM Conference on International Computing Education Research, ICER 2019, Toronto, ON, Canada, August 12-14, 2019 (Robert McCartney, Andrew Petersen, Anthony V. Robins, Adon Moskal) (2019)
- Machine Learning Education for Young People without Programming Experience - Doctoral Consortium Abstract (Abigail Zimmermann-Niefield) (2019)
Informatik - Bildung von Lehrkräften in allen Phasen - 19. GI-Fachtagung Informatik und Schule (Ludger Humbert) (2021)
- Datenbewusstsein: Aufmerksamkeit für die eigenen Daten (Lukas Höper, Carsten Schulte)
WiPSCE '22 - The 17th Workshop in Primary and Secondary Computing Education, Morschach, Switzerland, 31 October 2022 - 2 November 2022 (Mareen Grillenberger, Marc Berges) (2022)
- Addressing challenges of constructionist modeling of adaptive systems (Uwe Lorenz, Ralf Romeike) (2022)
- 1. Computational Thinking 2.0 (Matti Tedre) (2022)
Past, Present and Future of Computing Education Research (Mikko Apiola, Sonsoles López-Pernas, Mohammed Saqr) (2023)
- The Evolving Themes of Computing Education Research - Trends, Topic Models, and Emerging Research (Mikko Apiola, Mohammed Saqr, Sonsoles López-Pernas)

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