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Showing 1 to 15 of 23 results Save | Export
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Lokkila, Erno; Christopoulos, Athanasios; Laakso, Mikko-Jussi – Informatics in Education, 2023
Prior programming knowledge of students has a major impact on introductory programming courses. Those with prior experience often seem to breeze through the course. Those without prior experience see others breeze through the course and disengage from the material or drop out. The purpose of this study is to demonstrate that novice student…
Descriptors: Prior Learning, Programming, Computer Science Education, Markov Processes
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Toni Taipalus; Hilkka Grahn; Saima Ritonummi; Valtteri Siitonen; Tero Vartiainen; Denis Zhidkikh – ACM Transactions on Computing Education, 2025
SQL compiler error messages are the primary way users receive feedback when they encounter syntax errors or other issues in their SQL queries. Effective error messages can enhance the user experience by providing clear, informative, and actionable feedback. Despite the age of SQL compilers, it still remains largely unclear what contributes to an…
Descriptors: Computer Science Education, Novices, Information Systems, Programming Languages
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Antti-Jussi Lakanen; Ville Isomöttönen – Informatics in Education, 2023
This research investigates university students' success in their first programming course (CS1) in relation to their motivation, mathematical ability, programming self-efficacy, and initial goal setting. To our knowledge, these constructs have not been measured in a single study before in the Finnish context. The selection of the constructs is in…
Descriptors: Foreign Countries, College Students, Student Motivation, Self Efficacy
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Meier, Heidi; Lepp, Marina – Journal of Educational Computing Research, 2023
Especially in large courses, feedback is often given only on the final results; less attention is paid to the programming process. Today, however, some programming environments, e.g., Thonny, log activities during programming and have the functionality of replaying the programming process. This information can be used to provide feedback, and this…
Descriptors: Programming, Introductory Courses, Computer Science Education, Teaching Methods
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Denis Zhidkikh; Ville Heilala; Charlotte Van Petegem; Peter Dawyndt; Miitta Jarvinen; Sami Viitanen; Bram De Wever; Bart Mesuere; Vesa Lappalainen; Lauri Kettunen; Raija Hämäläinen – Journal of Learning Analytics, 2024
Predictive learning analytics has been widely explored in educational research to improve student retention and academic success in an introductory programming course in computer science (CS1). General-purpose and interpretable dropout predictions still pose a challenge. Our study aims to reproduce and extend the data analysis of a privacy-first…
Descriptors: Learning Analytics, Prediction, School Holding Power, Academic Achievement
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Laiti, Outi Kaarina; Frangou, Satu-Maarit – International Journal of Multicultural Education, 2019
This article addresses how, in the Arctic regions, indigenous traditional educational approaches focus on the cultural background of the people and their social learning customs in today's context. The development of Arctic pedagogical approaches is discussed in light of experiences collected in Finnish Lapland in 2017 with the Sámi people.…
Descriptors: Indigenous Populations, Indigenous Knowledge, Social Influences, Interaction
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Veerasamy, Ashok Kumar; D'Souza, Daryl; Laakso, Mikko-Jussi – Journal of Educational Technology Systems, 2016
This article presents a study aimed at examining the novice student answers in an introductory programming final e-exam to identify misconceptions and types of errors. Our study used the Delphi concept inventory to identify student misconceptions and skill, rule, and knowledge-based errors approach to identify the types of errors made by novices…
Descriptors: Computer Science Education, Programming, Novices, Misconceptions
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Xia, Belle Selene – Journal of Learning Design, 2017
Previous research has shown that, despite the importance of programming education, there is limited research done on programming education experiences from the students' point of view and the need to do so is strong. By understanding the student behaviour, their learning styles, their expectation and motivation to learn, the quality of teaching…
Descriptors: Programming, Higher Education, Educational Theories, Student Centered Learning
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Damsa, Crina; Muukkonen, Hanni – Research Papers in Education, 2020
This paper elaborates on the notion of object-oriented collaborative learning by building on empirical material from two case studies in higher education. Prior empirical findings show how knowledge objects are evolving entities, shaped by the interactions between participants, and how students learn from engaging in knowledge practice that…
Descriptors: Instructional Design, Cooperative Learning, Case Studies, Higher Education
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Xia, Belle Selene – International Journal of Teaching and Learning in Higher Education, 2017
Education research in computer science has emphasized the research of web-based learning environments as a result of the latest technological advancement in higher education. Our research aim is to offer new insights on the different teaching strategies in programming education both from a theoretical and empirical point of view as a response to…
Descriptors: Educational Quality, Teacher Competencies, Computer Science Education, Web Based Instruction
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Miguel Baptista Nunes Ed.; Pedro Isaias Ed. – International Association for Development of the Information Society, 2022
These proceedings contain the papers of the 16th International Conference on e-Learning (EL 2022), which was organised by the International Association for Development of the Information Society, 19-21 July, 2022. This conference is part of the 16th Multi Conference on Computer Science and Information Systems 2022, 19-22 July, which had a total of…
Descriptors: Electronic Learning, Online Courses, Educational Technology, COVID-19
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Kaila, Erkki; Kurvinen, Einari; Lokkila, Erno; Laakso, Mikko-Jussi – ACM Transactions on Computing Education, 2016
Educational technology offers several potential benefits for programming education. Still, to facilitate the technology properly, integration into a course must be carefully designed. In this article, we present a redesign of an object-oriented university-level programming course. In the redesign, a collaborative education tool was utilized to…
Descriptors: Curriculum Development, Programming, Computer Science Education, Active Learning
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Kurhila, Jaakko; Vihavainen, Arto – ACM Transactions on Computing Education, 2015
The Finnish national school curriculum, effective from 2004, does not include any topics related to Computer Science (CS). To alleviate the problem that school students are not able to study CS-related topics, the Department of Computer Science at the University of Helsinki prepared a completely online course that is open to pupils and students in…
Descriptors: Foreign Countries, Online Courses, Computer Science, Computer Science Education
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Willman, Salla; Lindén, Rolf; Kaila, Erkki; Rajala, Teemu; Laakso, Mikko-Jussi; Salakoski, Tapio – Computer Science Education, 2015
Computer aided assessment systems enable the collection of exact time and date information on students' activity on a course. These activity patterns reflect students' study habits and these study habits further predict students' likelihood to pass or fail a course. By identifying such patterns, those who design the courses can enforce positive…
Descriptors: Foreign Countries, Study Habits, Introductory Courses, Programming
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Sorva, Juha; Lönnberg, Jan; Malmi, Lauri – Computer Science Education, 2013
Visual program simulation (VPS) is a new, interactive form of educational program visualisation, in which learners use graphical controls to direct a program's execution rather than simply watching an animation of it. In this article, we report on a qualitative empirical study of novice programmers learning through VPS. From an analysis of…
Descriptors: Visualization, Computer Uses in Education, Interviews, Observation
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