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Shin, Yoonhee; Jung, Jaewon; Zumbach, Joerg; Yi, Eunseon – Journal of Educational Computing Research, 2023
This study explores the effects of worked-out examples and metacognitive scaffolding on novice learners' knowledge performance, cognitive loads, and self-regulation skills in problem-solving programming. 126 undergraduate students in a computer programming fundamentals course were randomly assigned to one of four groups: (1) task performance with…
Descriptors: Problem Solving, Metacognition, Scaffolding (Teaching Technique), Programming
Paola Iannone; Athina Thoma – International Journal of Mathematical Education in Science and Technology, 2024
Programming is becoming increasingly common in mathematics degrees as it is a desirable skill for new graduates. However, research shows that its use is mostly restricted to computational or modelling tasks. This paper reports a study on students' perceptions of and difficulties with Lean, an interactive theorem prover introduced as part of a…
Descriptors: Programming, Mathematics Instruction, Computer Science Education, Student Attitudes
Daniele Traversaro; Giorgio Delzanno; Giovanna Guerrini – Informatics in Education, 2024
Concurrency is a complex to learn topic that is becoming more and more relevant, such that many undergraduate Computer Science curricula are introducing it in introductory programming courses. This paper investigates the combined use of Sonic Pi and Team-Based Learning to mitigate the difficulties in early exposure to concurrency. Sonic Pi, a…
Descriptors: Misconceptions, Programming Languages, Computer Science Education, Undergraduate Students
Lokkila, Erno; Christopoulos, Athanasios; Laakso, Mikko-Jussi – Journal of Information Systems Education, 2023
Educators who teach programming subjects are often wondering "which programming language should I teach first?" The debate behind this question has a long history and coming up with a definite answer to this question would be farfetched. Nonetheless, several efforts can be identified in the literature wherein pros and cons of mainstream…
Descriptors: Comparative Analysis, Programming Languages, Probability, Error Patterns
Musa Adekunle Ayanwale; Jamiu Oluwadamilare Amusa; Adekunle Ibrahim Oladejo; Funmilayo Ayedun – Interchange: A Quarterly Review of Education, 2024
The study focuses on assessing the proficiency levels of higher education students, specifically the physics achievement test (PHY 101) at the National Open University of Nigeria (NOUN). This test, like others, evaluates various aspects of knowledge and skills simultaneously. However, relying on traditional models for such tests can result in…
Descriptors: Item Response Theory, Difficulty Level, Item Analysis, Test Items
Hsu, Wen-Chin; Gainsburg, Julie – Journal of Educational Computing Research, 2021
Block-based programming languages (BBLs) have been proposed as a way to prepare students for learning to program in more sophisticated, text-based languages, such as Java. Hybrid BBLs add the ability to view and edit the block commands in auto-generated, text-based code. We compared the use of a non-hybrid BBL (Scratch), a hybrid BBL (Pencil…
Descriptors: Computer Science Education, Introductory Courses, Teaching Methods, Student Attitudes
Yun Huang; Christian Dieter Schunn; Julio Guerra; Peter L. Brusilovsky – ACM Transactions on Computing Education, 2024
Programming skills are increasingly important to the current digital economy, yet these skills have long been regarded as challenging to acquire. A central challenge in learning programming skills involves the simultaneous use of multiple component skills. This article investigates why students struggle with integrating component skills--a…
Descriptors: Programming, Computer Science Education, Error Patterns, Classification
Kim, Yeolib; Jeong, Hye In – IEEE Transactions on Learning Technologies, 2023
The recent push to introduce coding in early childhood education has been the subject of heated debate. A lack of theoretical and empirical research devoted to understanding coding education acceptance provided the motivation for this article. As a way to engage in the debate, this article investigated kindergarten teachers' acceptance of coding…
Descriptors: Early Childhood Education, Kindergarten, Early Childhood Teachers, Preservice Teachers
Mills, Robert J.; Beaulieu, Tanya Y.; Feldon, David F.; Olsen, David H. – Decision Sciences Journal of Innovative Education, 2020
ABSTRACT For some time, there has been a call for cross-disciplinary teaching within the business disciplines. With the rise of data and analytics, there is an opportunity for cross-disciplinary teaching by integrating technology throughout the business curriculum. However, many business professors have little experience in cross-disciplinary…
Descriptors: Cognitive Processes, Difficulty Level, Instructional Effectiveness, Interdisciplinary Approach
Casterella, Gretchen I.; Vijayasarathy, Leo – Journal of Information Systems Education, 2019
SQL query writing is a challenging task for novices, even after considerable training. Query writing is a programming task and a translation task where the writer must translate a user's request for information into code that conforms to the structure, constraints, and syntax of an SQL SELECT statement and that references specific tables and…
Descriptors: Information Retrieval, Programming Languages, Programming, Coding
Item Order and Speededness: Implications for Test Fairness in Higher Educational High-Stakes Testing
Becker, Benjamin; van Rijn, Peter; Molenaar, Dylan; Debeer, Dries – Assessment & Evaluation in Higher Education, 2022
A common approach to increase test security in higher educational high-stakes testing is the use of different test forms with identical items but different item orders. The effects of such varied item orders are relatively well studied, but findings have generally been mixed. When multiple test forms with different item orders are used, we argue…
Descriptors: Information Security, High Stakes Tests, Computer Security, Test Items
Sbaraglia, Marco; Lodi, Michael; Martini, Simone – Informatics in Education, 2021
Introductory programming courses (CS1) are difficult for novices. Inspired by "Problem solving followed by instruction" and "Productive Failure" approaches, we define an original "necessity-driven" learning design. Students are put in an apparently well-known situation, but this time they miss an essential ingredient…
Descriptors: Programming, Introductory Courses, Computer Science Education, Programming Languages
Govender, Reginald Gerald; Govender, Desmond Wesley – African Journal of Research in Mathematics, Science and Technology Education, 2021
The emphasis on programming and robotics owing to the unfolding of the Fourth Industrial Revolution on the African continent has led the South African National Department of Education to propose a new subject in Grades R to 9. Hence, the training and development of pre-service teachers is crucial so that they can respond to the skills needed in…
Descriptors: Programming Languages, Computer Science Education, Preservice Teachers, Undergraduate Students
Minnegalieva, Chulpan Bakievna; Khabibullin, Timur Vakhtangovich; Giniyatullina, Gulchachak Rishatovna; Giniyatullin, Lenar Ildarovich – International Journal of Higher Education, 2020
Online courses on different platforms provide thousands of students with the knowledge and skills they need. This paper presents the results of a survey of students, during which they expressed their opinion on the use of electronic resources in teaching. The survey showed that students are more motivated to study when they understand how their…
Descriptors: Difficulty Level, Electronic Learning, Online Courses, Student Attitudes
Guzman, Laura Melissa; Pennell, Matthew W.; Nikelski, Ellen; Srivastava, Diane S. – CBE - Life Sciences Education, 2019
Biostatistics courses are integral to many undergraduate biology programs. Such courses have often been taught using point-and-click software, but these programs are now seldom used by researchers or professional biologists. Instead, biology professionals typically use programming languages, such as R, which are better suited to analyzing complex…
Descriptors: Undergraduate Study, Statistics, Biology, College Science
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