Progress reports and novices' understanding of program code. - Linda Mannila (Koli Calling, 2006)

An objective comparison of languages for teaching introductory programming. - Linda Mannila; Michael de Raadt (Koli Calling, 2006)

What about a simple language? Analyzing the difficulties in learning to program. - Linda Mannila; Mia Peltomäki; Tapio Salakoski (Comput. Sci. Educ., 2006)

A computing perspective on the Bologna process. - Ursula Fuller; Arnold Pears; June Amillo; Chris Avram; Linda Mannila (ACM SIGCSE Bull., 2006)

Computer science and IT teachers' conceptions of successful and unsuccessful teaching: A phenomenographic study. - Angela Carbone; Linda Mannila; Sue Fitzgerald (Comput. Sci. Educ., 2007)

Novices' Progress in Introductory Programming Courses. - Linda Mannila (Informatics Educ., 2007)

A survey of literature on the teaching of introductory programming. - Arnold Pears; Stephen Seidman; Lauri Malmi; Linda Mannila; Elizabeth S. Adams; Jens Bennedsen; Marie Devlin; James H. Paterson (ACM SIGCSE Bull., 2007)

Invariant based programming in education - An analysis of student difficulties. - Linda Mannila (Informatics Educ., 2010)

Requirements and design strategies for open source interactive computer science eBooks. - Ari Korhonen; Thomas L. Naps; Charles Boisvert; Pilu Crescenzi; Ville Karavirta; Linda Mannila; Bradley Miller 001; Briana B. Morrison; Susan H. Rodger; Rocky Ross; Clifford A. Shaffer (ITiCSE-WGR, 2013)

Reasoning on Children's Cognitive Skills in an Informatics Contest: Findings and Discoveries from Finland, Lithuania, and Sweden. - Valentina Dagiene; Linda Mannila; Timo Poranen; Lennart Rolandsson; Gabriele Stupuriene (ISSEP, 2014)

Students' performance on programming-related tasks in an informatics contest in Finland, Sweden and Lithuania. - Valentina Dagiene; Linda Mannila; Timo Poranen; Lennart Rolandsson; Pär Söderhjelm (ITiCSE, 2014)

Computational Thinking in K-9 Education. - Linda Mannila; Valentina Dagiene; Barbara Demo; Natasa Grgurina; Claudio Mirolo; Lennart Rolandsson; Amber Settle (ITiCSE-WGR, 2014)

Computing at School in Sweden - Experiences from Introducing Computer Science within Existing Subjects. - Fredrik Heintz; Linda Mannila; Karin Nygårds; Peter Parnes; Björn Regnell (ISSEP, 2015)

Concepts in K-9 Computer Science Education. - Erik Barendsen; Linda Mannila; Barbara Demo; Natasa Grgurina; Cruz Izu; Claudio Mirolo; Sue Sentance; Amber Settle; Gabriele Stupuriene (ITiCSE-WGR, 2015)

A review of models for introducing computational thinking, computer science and computing in K-12 education. - Fredrik Heintz; Linda Mannila; Tommy Färnqvist (FIE, 2016)

Learning programming online: a racket-course for elementary school teachers in Finland. - Tiina Partanen; Linda Mannila; Timo Poranen (Koli Calling, 2016)

Supporting Active Learning by Introducing an Interactive Teaching Tool in a Data Structures and Algorithms Course. - Tommy Färnqvist; Fredrik Heintz; Patrick Lambrix; Linda Mannila; Chunyan Wang 003 (SIGCSE, 2016)

Educating Computer Science Educators Online - A Racket MOOC for Elementary Math Teachers of Finland. - Tiina Partanen; Pia Niemelä; Linda Mannila; Timo Poranen (CSEDU (1), 2017)

Development of a self-efficacy scale for digital competences in schools. - Lars-Åke Norden; Linda Mannila; Arnold Pears (FIE, 2017)

Introducing Programming and Digital Competence in Swedish K-9 Education. - Fredrik Heintz; Linda Mannila; Lars-Åke Norden; Peter Parnes; Björn Regnell (ISSEP, 2017)

Exploring Bebras Tasks Content and Performance: A Multinational Study. - Cruz Izu; Claudio Mirolo; Amber Settle; Linda Mannila; Gabriele Stupuriene (Informatics Educ., 2017)

Digital Competence, Teacher Self-Efficacy and Training Needs. - Linda Mannila; Lars-Åke Norden; Arnold Pears (ICER, 2018)

Computational thinking for all: an experience report on scaling up teaching computational thinking to all students in a major city in Sweden. - Fredrik Heintz; Linda Mannila (Inroads, 2018)

Debugging in Programming as a Multimodal Practice in Early Childhood Education Settings. - Mia Heikkilä; Linda Mannila (Multimodal Technol. Interact., 2018)

A Student's View of Concurrency - A Study of Common Mistakes in Introductory Courses on Concurrency. - Filip Strömbäck; Linda Mannila; Mikael Asplund; Mariam Kamkar (ICER, 2019)

Exploring Students' Understanding of Concurrency - A Phenomenographic Study. - Filip Strömbäck; Linda Mannila; Mariam Kamkar (SIGCSE, 2020)

Programming in primary education: towards a research based assessment framework. - Linda Mannila; Fredrik Heintz; Susanne Kjällander; Anna Åkerfeldt (WiPSCE, 2020)

Pilot Study of a Visualization Tool for Object Graphs and Concurrency via Shared Memory. - Filip Strömbäck; Linda Mannila; Mariam Kamkar (SIGCSE, 2021)

Understanding Students' Failure to use Functions as a Tool for Abstraction - An Analysis of Questionnaire Responses and Lab Assignments in a CS1 Python Course. - Pontus Haglund; Filip Strömbäck; Linda Mannila (Informatics Educ., 2021)

The Non-Deterministic Path to Concurrency - Exploring how Students Understand the Abstractions of Concurrency. - Filip Strömbäck; Linda Mannila; Mariam Kamkar (Informatics Educ., 2021)

Pilot Study of Progvis: A Visualization Tool for Object Graphs and Concurrency via Shared Memory. - Filip Strömbäck; Linda Mannila; Mariam Kamkar (ACE, 2022)

Exploring programming didactics in primary school - a gender perspective. - Anna Åkerfeldt; Susanne Kjällander; Linda Mannila; Fredrik Heintz (FIE, 2022)

Signs of learning in middle school computing education. - Susanne Kjällander; Anna Åkerfeldt; Linda Mannila; Fredrik Heintz (FIE, 2022)

Exploring Gender Differences in Primary School Programming. - Linda Mannila; Anna Åkerfeldt; Susanne Kjällander; Fredrik Heintz (FIE, 2022)

A Weak Memory Model in Progvis: Verification and Improved Accuracy of Visualizations of Concurrent Programs to Aid Student Learning. - Filip Strömbäck; Linda Mannila; Mariam Kamkar (Koli Calling, 2022)

Using Model-Checking and Peer-Grading to Provide Automated Feedback to Concurrency Exercises in Progvis. - Filip Strömbäck; Linda Mannila; Mariam Kamkar (ACE, 2023)

"Look at Our Smart Shoe" - a Scalable Online Concept for Introducing Design as Part of Computational Thinking in Grades 1-6. - Linda Mannila; Mia Skog (IDC, 2023)

Humans or Machines for Teaching: Trust and Preferences among University Students. - Mohsen Asgari; Linda Mannila; Fong-Chun Tsai; Filip Strömbäck (ICETC, 2024)

Grasping the Unseen: TA Insights into Teaching Subtle Concepts in Computer Science. - Pontus Haglund; Linda Mannila; Filip Strömbäck; Aseel Berglund (ITiCSE (1), 2024)

Co-Designing AI literacy for K-12 Education. - Linda Mannila (WiPSCE, 2024)

Emergence of LLMs: (Not-so-)Significant Delving in Essay Answers in a MOOC on the Ethics of AI. - Leo Leppänen; Lili Aunimo; Arto Hellas; Jukka K. Nurminen; Linda Mannila (AIED (6), 2025)

Co-designing Lesson Plans for Supporting Human-Centred AI Literacy in K-12 Education. - Linda Mannila; Susanne Hägglund; Mattias Wingren (HCI (41), 2025)

How Aligned are Humans and Large Language Models in Evaluating Computational Thinking Tasks? - Mohsen Asgari; Linda Mannila; Filip Strömbäck (ISSEP, 2025)

Developing an AI Concept Inventory for Non-Experts. - Linda Mannila; Julie Henry; Tobias Bahr; Christos Chytas; Harold S. Connamacher; Henry Hickman; Barbara C. N. Müller; Simone Opel; Andreas Scholl (ITiCSE (2), 2025)

How Large Language Models Are Changing MOOC Essay Answers: A Comparison of Pre- and Post-LLM Responses. - Leo Leppänen; Lili Aunimo; Arto Hellas; Jukka K. Nurminen; Linda Mannila (CoRR, 2025)