Juha Sorva

Dies ist keine offizielle Homepage von Juha Sorva, E-Mails an Juha Sorva sind hier nicht möglich!
This is not an official homepage of Juha Sorva and it is not possible to contact Juha Sorva here!

Bücher von Juha Sorva

Visual Program Simulation in Introductory Programming Education

(2012)

14 Texte von Juha Sorva

Jahr	Abrufe	Text	Texttyp
2010		UUhistle - a software tool for visual program simulation (Juha Sorva, Teemu Sirkiä) erschienen in Koli Calling 2010	Konferenz-Paper
2010		Reflections on threshold concepts in computer programming and beyond erschienen in Koli Calling 2010	Konferenz-Paper
2010	1, 1, 2, 2, 2, 1, 2, 1, 6, 2, 5, 3	Characterizing research in computing education - a preliminary analysis of the literature (Lauri Malmi, Judy Sheard, Simon, Roman Bednarik, Juha Helminen, Ari Korhonen, Niko Myller, Juha Sorva, Ahmad Taherkhani) erschienen in ICER 2010 (Seite 3 - 12)	Konferenz-Paper
2013		Students' ways of experiencing visual program simulation (Juha Sorva, Jan Lönnberg, Lauri Malmi) erschienen in Computer Science Education 3/2013 (Seite 207 - 238)	Journal-Artikel
2014	2, 2, 2, 2, 4, 3, 1, 4, 8, 2, 6, 6	Theoretical underpinnings of computing education research - what is the evidence? (Lauri Malmi, Judy Sheard, Simon, Roman Bednarik, Juha Helminen, Päivi Kinnunen, Ari Korhonen, Niko Myller, Juha Sorva, Ahmad Taherkhani) erschienen in ICER 2014 (Seite 27 - 34)	Konferenz-Paper
2015	35, 3, 1, 4, 4, 4, 4, 3, 4	Do we know how difficult the rainfall problem is? (Otto Seppälä, Petri Ihantola, Essi Isohanni, Juha Sorva, Arto Vihavainen) erschienen in Koli Calling 2015	Konferenz-Paper
2015	33, 2, 1, 2, 2, 2, 9, 5, 5, 7	Embedded questions in ebooks on programming - useful for a) summative assessment, b) formative assessment, or c) something else? (Juha Sorva, Teemu Sirkiä) erschienen in Koli Calling 2015	Konferenz-Paper
2015		Tailoring animations of example programs (Teemu Sirkiä, Juha Sorva) erschienen in Koli Calling 2015	Konferenz-Paper
2015	1, 2, 2, 2, 2, 1, 4, 2, 6, 2, 3, 2	How Do Students Use Program Visualizations within an Interactive Ebook? (Teemu Sirkiä, Juha Sorva) erschienen in ICER 2015 (Seite 179 - 188)	Konferenz-Paper
2016		Classifying the tools of contextualized programming education and forms of media computation (Aleksi Lukkarinen, Juha Sorva) erschienen in Koli Calling 2016	Konferenz-Paper
2016	1, 1, 5, 3, 1, 1, 1, 1, 1, 5, 3, 1	Benchmarking Introductory Programming Exams - Some Preliminary Results (Simon, Judy Sheard, Daryl J. D'Souza, Peter Klemperer, Leo Porter, Juha Sorva, Martijn Stegeman, Daniel Zingaro) erschienen in ICER 2016 (Seite 103 - 111)	Konferenz-Paper
2018	2, 1, 2, 5, 10, 12, 8, 5, 7, 8, 7, 10	Misconceptions and the Beginner Programmer erschienen in Computer Science Education	Kapitel
2018	1, 1, 1, 4, 1, 4, 9, 4, 9, 4, 6, 11	Towards an Analysis of Program Complexity From a Cognitive Perspective (Rodrigo Duran, Juha Sorva, Sofia Leite) erschienen in ICER 2018 (Seite 21 - 30)	Konferenz-Paper
2019		Exploring the Value of Student Self-Evaluation in Introductory Programming (Rodrigo Duran, Jan-Mikael Rybicki, Juha Sorva, Arto Hellas) erschienen in ICER 2019	Konferenz-Paper

Definitionen von Juha Sorva

notional machine

A notional machine is not a physical computer but an abstraction of computer software and hardware; it is the set of capabilities that a particular programming language or environment affords to the programmer. Understanding a notional machine enables a programmer to answer questions such as: What can this programming system do for me? What are the things it can’t or won’t do? What is the division of labour between myself and the computer system (i.e. between the human instructor and the mechanistic instructee)? What changes in the system does each of my instructions bring about as my program is run? How do I reason about what my program does?
von Juha Sorvaim Buch Computer Science Education (2018) im Text Misconceptions and the Beginner Programmer

Bemerkungen von Juha Sorva

Von Juha Sorva gibt es im Biblionetz Bemerkungen zu:

Bücher
KB IB clear

Visual Program Simulation in Introductory Programming Education

Texte
KB IB clear

Benchmarking Introductory Programming Exams, Characterizing research in computing education, Do we know how difficult the rainfall problem is?, Embedded questions in ebooks on programming, Exploring the Value of Student Self-Evaluation in Introductory Programming, How Do Students Use Program Visualizations within an Interactive Ebook?, Misconception Catalogue, Misconceptions and the Beginner Programmer, Reflections on threshold concepts in computer programming and beyond, Tailoring animations of example programs, Theoretical underpinnings of computing education research, Towards an Analysis of Program Complexity From a Cognitive Perspective, UUhistle

Zeitleiste von Juha Sorva

Organisatorische Beziehungen von Mareen Przybylla

Diese Grafik fensterfüllend anzeigen (SVG)

CoautorInnen

Roman Bednarik, Daryl J. D'Souza, Rodrigo Duran, Arto Hellas, Juha Helminen, Petri Ihantola, Essi Isohanni, Päivi Kinnunen, Peter Klemperer, Ari Korhonen, Sofia Leite, Jan Lönnberg, Aleksi Lukkarinen, Lauri Malmi, Niko Myller, Leo Porter, Jan-Mikael Rybicki, Otto Seppälä, Judy Sheard, Simon, Teemu Sirkiä, Martijn Stegeman, Ahmad Taherkhani, Arto Vihavainen, Daniel Zingaro,

Zitationsnetz

Diese Grafik fensterfüllend anzeigen (SVG)

Begriffswolke von Juha Sorva

Begriffswolke
APH KB IB clear

Content Knowledge Content Knowledge, Didaktik didactics, Fehlvorstellungen / misconceptions, Fehlvorstellungen beim Programmieren, Fehlvorstellungen bezüglich bedingten Anweisungen, Fehlvorstellungen bezüglich Initialisierung, Fehlvorstellungen bezüglich Kontrollstrukturen, Fehlvorstellungen bezüglich Rekursion, Fehlvorstellungen bezüglich Schleifen, Fehlvorstellungen bezüglich Variablen, Hochschule higher education institution, Informatik computer science, Informatik-Didaktik didactics of computer science, Informatik-Unterricht (Fachinformatik)Computer Science Education, notional machine, Novice novice, OOP object oriented programming, Pedagogical Content Knowledge (PCK)Pedagogical Content Knowledge, Pedagogical Knowledge Pedagogical Knowledge, Programmieren programming, Programmierkonzepte programming concepts, Programmierparadigmen, Programmiersprachen programming languages, rainfall problem, Rekursion recursion, Simulation, Software software, textbasierte Programmiersprachen, Visualisierung visualization,

Zitationsgraph

Diese Grafik fensterfüllend anzeigen (SVG)

18 Erwähnungen

Visual Program Simulation in Introductory Programming Education (Juha Sorva) (2012)
Coli Calling 2012 - 12th Koli Calling International Conference on Computing Education Research, Koli Calling '12, Koli, Finland, November 15-18, 2012 (Mikko-Jussi Laakso, Robert McCartney) (2012)
- A mobile learning application for parsons problems with automatic feedback (Ville Karavirta, Juha Helminen, Petri Ihantola) (2012)
Coli Calling 2013 - 13th Koli Calling International Conference on Computing Education Research, Koli Calling '13, Koli, Finland, November 14-17, 2013 (Mikko-Jussi Laakso, Simon) (2013)
- A JavaScript library for visualizing program execution (Teemu Sirkiä) (2013)
- Tracing quiz set to identify novices' programming misconceptions (Takayuki Sekiya, Kazunori Yamaguchi) (2013)
Proceedings of the Workshop in Primary and Secondary Computing Education, WiPSCE 2015, London, United Kingdom, November 9-11, 2015 (Judith Gal-Ezer, Sue Sentance, Jan Vahrenhold) (2015)
- Design and First Results of a Psychometric Test for Measuring Basic Programming Abilities (Andreas Mühling, Alexander Ruf, Peter Hubwieser) (2015)
ICER 2015 - Proceedings of the eleventh annual International Conference on International Computing Education Research, ICER 2015, Omaha, NE, USA, August 09 - 13, (Brian Dorn, Judy Sheard, Quintin I. Cutts) (2015)
- Measuring Knowledge of Misconceptions in Computer Science Education (Laura Ohrndorf) (2015)
- Scaling up Women in Computing Initiatives - What Can We Learn from a Public Policy Perspective? (Elizabeth Patitsas, Michelle Craig, Steve M. Easterbrook) (2015)
Modality matters - Understanding the Effects of Programming Language Representation in High School Computer Science Classrooms (David Weintrop) (2016)
Computer Science Education - Perspectives on Teaching and Learning in School (Sue Sentance, Erik Barendsen, Carsten Schulte) (2018)
- 13. Misconceptions and the Beginner Programmer (Juha Sorva)
Programming Paradigms and Beyond (Shriram Krishnamurthi, Kathi Fisler) (2018)
ICER 2018 - Proceedings of the 2018 ACM Conference on International Computing Education Research, ICER 2018, Espoo, Finland, August 13-15, 2018 (Lauri Malmi, Ari Korhonen, Robert McCartney, Andrew Petersen) (2018)
- Programming Misconceptions for School Students (Alaaeddin Swidan, Felienne Hermans, Marileen Smit) (2018)
Coli Calling 2018 - Proceedings of the 18th Koli Calling International Conference on Computing Education Research, Koli, Finland, November 22-25, 2018 (Mike Joy, Petri Ihantola) (2018)
- PCEX - Interactive Program Construction Examples for Learning Programming (Roya Hosseini, Kamil Akhuseyinoglu, Andrew Petersen, Christian D. Schunn, Peter Brusilovsky) (2018)
How Machine Learning impacts the Undergraduate Computing Curriculum (R. Benjamin Shapiro, Rebecca Fiebrink, Peter Norvig) (2018)
The Cambridge Handbook of Computing Education Research (Sally Fincher, Anthony V. Robins) (2019)
- 1. The History of Computing Education Research (Mark Guzdial, Benedict du Boulay) (2019)
Unterrichtseinheit Variablenkonzept auf der Sekundarstufe - Misskonzepte und deren Überwindung bei der Entwicklung des Variablenkonzepts auf der Sekundarstufe in Scratch (Christian Rauter) (2019)
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)
- Computing Education Theories - What Are They and How Are They Used? (Lauri Malmi, Judy Sheard, Päivi Kinnunen, Simon, Jane Sinclair) (2019)

Volltexte

	Visual Program Simulation in Introductory Programming Education: Gesamtes Buch als Volltext (: , 16041 kByte; : 2020-08-28)
	Characterizing research in computing education: Fulltext at the ACM Digital Library (: , 427 kByte; : 2020-08-28)
	Theoretical underpinnings of computing education research: Fulltext at the ACM Digital Library (: , 478 kByte; : 2020-08-28)
	Benchmarking Introductory Programming Exams: Fulltext at the ACM Digital Library (: , 972 kByte; : 2020-08-28)
	Towards an Analysis of Program Complexity From a Cognitive Perspective: Fulltext at the ACM Digital Library (: , 1141 kByte; : 2020-08-28)
	Misconception Catalogue: Kapitel als Volltext (: , 88 kByte)
	Misconceptions and the Beginner Programmer: Artikel als Volltext (: , 365 kByte)
	Students' ways of experiencing visual program simulation: Artikel als Volltext (: , 697 kByte; : 2020-08-28)
	Reflections on threshold concepts in computer programming and beyond: Fulltext at the ACM Digital Library (: , 212 kByte; : )
	UUhistle: Fulltext at the ACM Digital Library (: , 331 kByte; : )
	Embedded questions in ebooks on programming: Fulltext at the ACM Digital Library (: , 672 kByte; : )
	Do we know how difficult the rainfall problem is?: Fulltext at the ACM Digital Library (: , 936 kByte; : )
	Tailoring animations of example programs: Fulltext at the ACM Digital Library (: , 747 kByte; : )
	Exploring the Value of Student Self-Evaluation in Introductory Programming: Fulltext at the ACM Digital Library (: , 2508 kByte; : )
	How Do Students Use Program Visualizations within an Interactive Ebook?: Fulltext at the ACM Digital Library (: , 893 kByte; : Link unterbrochen? Letzte Überprüfung: 2020-08-28 Letzte erfolgreiche Überprüfung: 2020-06-28)