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Dragan Zlatkovic´; Miljana Ðordevic´ Zlatkovic´; Niko Radulovic´ – Journal of Chemical Education, 2023
Herein, we present a program implemented in Python that utilizes a simple complete-search algorithm to determine the geometry of a lanthanide-substrate (LS) complex. The program serves as a practical project in a programming course for chemistry students, specifically aimed at illustrating fundamental concepts such as decision-making, repetition,…
Descriptors: Programming, Problem Solving, Chemistry, Science Education
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
Gamze Kurt; Özge Çakioglu – Digital Experiences in Mathematics Education, 2024
This study aims to investigate students' computational thinking (CT) through mathematical tasks integrated with programming in Scratch. Participants completed four tasks that required students to solve coding problems, which were focused on prime numbers and the prime factorization algorithm. The study was designed as a case study and the unit of…
Descriptors: Grade 7, Case Studies, Mathematics Education, Mathematical Concepts
Zachary M. Savelson; Kasia Muldner – Computer Science Education, 2024
Background and Context: Productive failure (PF) is a learning paradigm that flips the order of instruction: students work on a problem, then receive a lesson. PF increases learning, but less is known about student emotions and collaboration during PF, particularly in a computer science context. Objective: To provide insight on students' emotions…
Descriptors: Student Attitudes, Psychological Patterns, Fear, Failure
Jian Liao; Linrong Zhong; Longting Zhe; Handan Xu; Ming Liu; Tao Xie – IEEE Transactions on Learning Technologies, 2024
ChatGPT has received considerable attention in education, particularly in programming education because of its capabilities in automated code generation and program repairing and scoring. However, few empirical studies have investigated the use of ChatGPT to customize a learning system for scaffolding students' computational thinking. Therefore,…
Descriptors: Scaffolding (Teaching Technique), Thinking Skills, Computation, Artificial Intelligence
Tippawan Meepung – International Education Studies, 2024
This study explores the application of the Project-Based Learning with Gamification Model (PBLGM) through Visual Programming Language (VPL) to enhance digital competencies and problem-solving skills in learners. The PBLGM model integrates project-based learning and gamification techniques using Kodu Game Lab, aiming to develop essential…
Descriptors: Student Projects, Active Learning, Gamification, Foreign Countries
Valerie Critten; Hannah Hagon; Melike Aslan Unlu – International Journal of Computer Science Education in Schools, 2024
In light of current developments, there is an increasing effort to integrate computing-oriented activities into the education of children as young as two years old. Although the computing strand is not officially addressed in the Early Years Foundation Stage Statutory Framework (DfES, 2024), a small number of early years teachers in England…
Descriptors: Foreign Countries, Early Childhood Education, Computation, Problem Solving
Loïs Vanhée; Karin Danielsson; Lena Enqvist; Kalle Grill; Melania Borit – European Journal of Education, 2024
Whereas hackathons are widespread within and outside academia and have been argued to be a valid pedagogical method for teaching interdisciplinarity, no detailed frameworks or methods are available for conceptualizing and organizing educational hackathons, i.e., hackathons dedicated to best achieving pedagogic objectives. This paper is dedicated…
Descriptors: Interdisciplinary Approach, Learning Activities, Programming, Computer Security
Zahra Atiq; Rakhi Batra – ACM Transactions on Computing Education, 2024
Emotions are a complex multi-faceted phenomenon. To assess the complexity of emotions from different facets, multi-modal approaches are necessary. However, multi-modal approaches are rarely used for assessing emotions, especially in the context of computer programming. This study adopts a multi-modal approach to understand the changes in students'…
Descriptors: Psychological Patterns, Change, Programming, Problem Solving
Ellie Lovellette; Dennis J. Bouvier; John Matta – ACM Transactions on Computing Education, 2024
In recent years, computing education researchers have investigated the impact of problem context on students' learning and programming performance. This work continues the investigation motivated, in part, by cognitive load theory and educational research in computer science and other disciplines. The results of this study could help inform…
Descriptors: Computer Science Education, Student Evaluation, Context Effect, Problem Solving
Saso Koceski; Natasa Koceska; Limonka Koceva Lazarova; Marija Miteva; Biljana Zlatanovska – Journal of Technology and Science Education, 2025
This study aims to evaluate ChatGPT's capabilities in certain numerical analysis problem: solving ordinary differential equations. The methodology which is developed in order to conduct this research takes into account the following mathematical abilities (defined according to National Centre for Education Statistics): Conceptual Understanding,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Number Concepts, Problem Solving
Zhaojun Duo; Jianan Zhang; Yonggong Ren; Xiaolu Xu – Education and Information Technologies, 2025
"Self-regulated learning" (SRL) significantly impacts the process and outcome of "programming problem-solving." Studies on SRL behavioural patterns of programming students based on trace data are limited in number and lack of coverage. In this study, hence, the Hidden Markov Model (HMM) was employed to probabilistically mine…
Descriptors: Students, Programming, Problem Solving, Self Management
Pavlos Toukiloglou; Stelios Xinogalos – Journal of Educational Computing Research, 2025
This study examines the effectiveness of a collaborative support method in enhancing programming learning outcomes in a serious game. The game Code Hasp was developed to facilitate the comparison between two support methods, worked examples and a collaborative peer support approach. A total of 111 elementary school students participated, divided…
Descriptors: Educational Games, Programming, Cooperative Learning, Peer Relationship
Tarattakan Pachumwon; Thada Jantakoon; Rukthin Laoha – Higher Education Studies, 2025
This study introduces CAILE, a design thinking-driven conceptual framework for a Creative AI Learning Environment, designed to enhance programming skills. Evaluates clarity, appropriateness, and feasibility through expert judgment. Phase 1 synthesized 34 peer-reviewed studies (2019-2025) to articulate CAILE's structure across three layers: Inputs…
Descriptors: Creativity, Artificial Intelligence, Technology Uses in Education, Programming
Margulieux, Lauren E.; Catrambone, Richard – Journal of Computing in Higher Education, 2021
Procedural problem solving is an important skill in most technical domains, like programming, but many students reach problem solving impasses and flounder. In most formal learning environments, instructors help students to overcome problem solving impasses by scaffolding initial problem solving. Relying on this type of personalized interaction,…
Descriptors: Scaffolding (Teaching Technique), Problem Solving, Learning Strategies, Programming

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