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Juha Sorva
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2020 – today
- 2024
- [c32]Artturi Tilanterä
, Juha Sorva
Students Struggle with Concepts in Dijkstra's Algorithm. ICER (1) 2024: 154-165 - 2023
- [c31]Arto Hellas
Exploring the Responses of Large Language Models to Beginner Programmers' Help Requests. ICER (1) 2023: 93-105 - [c30]Luca Chiodini, Juha Sorva, Matthias Hauswirth:
Teaching Programming with Graphics: Pitfalls and a Solution. SPLASH-E 2023: 1-12 - [i3]Arto Hellas, Juho Leinonen, Sami Sarsa, Charles Koutcheme, Lilja Kujanpää, Juha Sorva:
Exploring the Responses of Large Language Models to Beginner Programmers' Help Requests. CoRR abs/2306.05715 (2023) - 2022
- [j8]Rodrigo Duran
Cognitive Load Theory in Computing Education Research: A Review. ACM Trans. Comput. Educ. 22(4): 40:1-40:27 (2022) - 2021
- [j7]Rodrigo Duran, Juha Sorva, Otto Seppälä
Rules of Program Behavior. ACM Trans. Comput. Educ. 21(4): 33:1-33:37 (2021) - [c29]Albina Zavgorodniaia
Algorithm Visualization and the Elusive Modality Effect. ICER 2021: 368-378 - [c28]Simon, Juha Sorva:
How Concrete Should an Abstract Be? ITiCSE (1) 2021: 568-574 - [c27]Teemu Lehtinen
Let's Ask Students About Their Programs, Automatically. ICPC 2021: 467-475 - [i2]Teemu Lehtinen, André L. Santos, Juha Sorva:
Let's Ask Students About Their Programs, Automatically. CoRR abs/2103.11138 (2021) - 2020
- [c26]Albina Zavgorodniaia
Should Explanations of Program Code Use Audio, Text, or Both? A Replication Study. Koli Calling 2020: 5:1-5:10 - [c25]Arto Hellas, Albina Zavgorodniaia
Crowdsourcing in Computing Education Research: Case Amazon MTurk. Koli Calling 2020: 32:1-32:5 - [c24]Albina Zavgorodniaia
Measuring the Cognitive Load of Learning to Program: A Replication Study. UKICER 2020: 3-9
2010 – 2019
- 2019
- [c23]Rodrigo Duran
Exploring the Value of Student Self-Evaluation in Introductory Programming. ICER 2019: 121-130 - [c22]Juha Sorva:
Splashing the Surface of Research: A Study of Koli Abstracts. Koli Calling 2019: 26:1-26:2 - [i1]Mark Guzdial, Shriram Krishnamurthi, Juha Sorva, Jan Vahrenhold:
Notional Machines and Programming Language Semantics in Education (Dagstuhl Seminar 19281). Dagstuhl Reports 9(7): 1-23 (2019) - 2018
- [c21]Rodrigo Duran
Towards an Analysis of Program Complexity From a Cognitive Perspective. ICER 2018: 21-30 - 2016
- [j6]Juha Sorva, Arto Vihavainen:
Break statement considered. Inroads 7(3): 36-41 (2016) - [c20]Simon, Judy Sheard, Daryl J. D'Souza, Peter F. Klemperer, Leo Porter
Benchmarking Introductory Programming Exams: Some Preliminary Results. ICER 2016: 103-111 - [c19]Simon, Judy Sheard, Daryl J. D'Souza, Peter F. Klemperer, Leo Porter
Benchmarking Introductory Programming Exams: How and Why. ITiCSE 2016: 154-159 - [c18]Aleksi Lukkarinen, Juha Sorva:
Classifying the tools of contextualized programming education and forms of media computation. Koli Calling 2016: 51-60 - 2015
- [c17]Ari Korhonen
Automatic recognition of misconceptions in visual algorithm simulation exercises. FIE 2015: 1-5 - [c16]Teemu Sirkiä
How Do Students Use Program Visualizations within an Interactive Ebook? ICER 2015: 179-188 - [c15]Lassi Haaranen
In Search of the Emotional Design Effect in Programming. ICSE (2) 2015: 428-434 - [c14]Otto Seppälä
Do we know how difficult the rainfall problem is? Koli Calling 2015: 87-96 - [c13]Teemu Sirkiä, Juha Sorva:
Tailoring animations of example programs. Koli Calling 2015: 147-151 - [c12]Juha Sorva, Teemu Sirkiä:
Embedded questions in ebooks on programming: useful for a) summative assessment, b) formative assessment, or c) something else? Koli Calling 2015: 152-156 - 2014
- [c11]Lauri Malmi, Judy Sheard, Simon
Theoretical underpinnings of computing education research: what is the evidence? ICER 2014: 27-34 - [c10]Amber Settle, Arto Vihavainen, Juha Sorva:
Three views on motivation and programming. ITiCSE 2014: 321-322 - [c9]Juha Sorva, Otto Seppälä
Research-based design of the first weeks of CS1. Koli Calling 2014: 71-80 - [c8]Petri Ihantola
Automatically detectable indicators of programming assignment difficulty. SIGITE 2014: 33-38 - 2013
- [j5]Juha Sorva, Jan Lönnberg, Lauri Malmi:
Students' ways of experiencing visual program simulation. Comput. Sci. Educ. 23(3): 207-238 (2013) - [j4]Juha Sorva:
Notional machines and introductory programming education. ACM Trans. Comput. Educ. 13(2): 8:1-8:31 (2013) - [j3]Juha Sorva, Ville Karavirta, Lauri Malmi
A Review of Generic Program Visualization Systems for Introductory Programming Education. ACM Trans. Comput. Educ. 13(4): 15:1-15:64 (2013) - [c7]Ian Utting
A fresh look at novice programmers' performance and their teachers' expectations. ITiCSE-WGR 2013: 15-32 - 2012
- [b1]Juha Sorva:
Visual program simulation in introductory programming education ; Visuaalinen ohjelmasimulaatio ohjelmoinnin alkeisopetuksessa. Aalto University, Espoo, Finland, 2012 - [c6]Teemu Sirkiä
Exploring programming misconceptions: an analysis of student mistakes in visual program simulation exercises. Koli Calling 2012: 19-28 - 2010
- [c5]Lauri Malmi, Judy Sheard, Simon
Characterizing research in computing education: a preliminary analysis of the literature. ICER 2010: 3-12 - [c4]Juha Sorva:
Reflections on threshold concepts in computer programming and beyond. Koli Calling 2010: 21-30 - [c3]Juha Sorva, Teemu Sirkiä
UUhistle: a software tool for visual program simulation. Koli Calling 2010: 49-54
2000 – 2009
- 2008
- [c2]Juha Sorva:
The same but different students' understandings of primitive and object variables. Koli Calling 2008: 5-15 - 2007
- [j2]Juha Sorva, Ville Karavirta, Ari Korhonen:
Roles of Variables in Teaching. J. Inf. Technol. Educ. 6: 407-423 (2007) - [c1]Juha Sorva:
A Roles-Based Approach to Variable-Oriented Programming. PPIG 2007: 10 - 2006
- [j1]Jerry Mead, Simon Gray, John Hamer, Richard James, Juha Sorva, Caroline St. Clair, Lynda Thomas:
A cognitive approach to identifying measurable milestones for programming skill acquisition. ACM SIGCSE Bull. 38(4): 182-194 (2006)
Coauthor Index
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