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Showing 1 to 15 of 35 results Save | Export
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Ünal Çakiroglu; Seval Bilgi – Interactive Learning Environments, 2024
The aim of this explanatory study is to identify the causes of intrinsic cognitive load in programming process. For this purpose, a method based on two dimensions; programming knowledge types (syntactic, semantic, and strategic) and programming constructs was proposed. The proposed method was tested with high school students enrolled in Computer…
Descriptors: Cognitive Processes, Difficulty Level, Programming, Interaction
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Krajcsi, Attila; Csapodi, Csaba; Stettner, Eleonóra – Interactive Learning Environments, 2021
An educational computer game is presented, used for beginner students to introduce some basic concepts of code execution and code writing. In this mini-language microworld game, a code should be written with which a robot can escape from a procedurally generated labyrinth. The game uses a simple language and utilizes a virtual environment, where…
Descriptors: Educational Games, Computer Games, Programming, Computer Science Education
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Hassan Kilavo; Tabu S. Kondo; Feruzi Hassan – Interactive Learning Environments, 2024
Today computing is intricate in all aspects of our lives, beginning with communications and education to banking, information security, health, shopping, and social media. Development of the computing is proportional to the development of software which is becoming a serious part of all daily lives. This paper, therefore, assessed the impact of…
Descriptors: Foreign Countries, Computer Science Education, Elementary School Students, Outcomes of Education
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Pala, Ferhat Kadir; Mihci Türker, Pinar – Interactive Learning Environments, 2021
In this study, the effects of Arduino IDE and C++ programming languages were investigated on the computational thinking skills of preservice teachers. The Computational Thinking Skills Scale was administered to preservice teachers. Firstly, a basic programming training was given and then it was asked to create group projects on a voluntary basis.…
Descriptors: Programming, Computer Science Education, Computation, Thinking Skills
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Xing, Wanli – Interactive Learning Environments, 2021
Previous research has invested much effort in understanding how programming can contribute to the development of young learners' computational thinking (CT) in traditional K-12 classroom settings. Relatively few studies have examined programming for CT in informal online communities, especially for large scale quantitative research. With the…
Descriptors: Programming, Thinking Skills, Computation, Programming Languages
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YungYu Zhuang; Yu-Hsuan Lin; Mahesh Liyanawatta; Andito Haryo Saputro; Yuniati Dwi Utami; Jen-Hang Wang – Interactive Learning Environments, 2024
Computer programming is essential nowadays but still challenging to learn due to its invisible thinking. Current programming environments are mostly designed for operating on computers directly to learn concrete programming, but this approach lacks the support for clarifying learners' thinking processes. On the other hand, using paper and pens…
Descriptors: Educational Environment, Thinking Skills, Programming, Computer Science Education
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Yuan-Chen Liu; Tzu-Hua Huang; Chia-Ling Sung – Interactive Learning Environments, 2023
Computational thinking is an important skill in computer science since the 1960s, and it is closely related to problem solving. Almost all research related to computational thinking mentions problem solving. Although some research has been conducted on computational thinking, few studies examined the impact of personal traits on students'…
Descriptors: Personality Traits, Computation, Thinking Skills, Programming
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Yuan-Chen Liu; Tzu-Hua Huang; Chien-Chia Huang – Interactive Learning Environments, 2024
In this study, an interactive programming learning environment was built with two types of error prompt functions: 1) the key prompt and 2) step-by-step prompt. A quasi-experimental study was conducted for five weeks, in which 75 sixth grade students from disadvantaged learning environments in Taipei, Taiwan, were divided into three groups: 1) the…
Descriptors: Programming, Computer Science Education, Cues, Grade 6
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Gang Yang; Dan Zheng; Ji-Huan Chen; Qun-Fang Zeng; Yun-Fang Tu; Xiao-Li Zheng – Interactive Learning Environments, 2024
The game-based learning approach to developing students' computational thinking (CT) current has received attention from researchers. However, the compatibility between games and instruction is often insufficient to accommodate the entertaining and educational nature of the curriculum entirely, and the benefits of game-based learning could be…
Descriptors: Role Playing, Educational Games, Mental Computation, Learner Engagement
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Qian Fu; Wenjing Tang; Yafeng Zheng; Haotian Ma; Tianlong Zhong – Interactive Learning Environments, 2024
In this study, a predictive model is constructed to analyze learners' performance in programming tasks using data of programming behavioral events and behavioral sequences. First, this study identifies behavioral events from log data and applies lag sequence analysis to extract behavioral sequences that reflect learners' programming strategies.…
Descriptors: Predictor Variables, Psychological Patterns, Programming, Self Management
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Jiang, Bo; Zhao, Wei; Zhang, Nuan; Qiu, Feiyue – Interactive Learning Environments, 2022
Block-based programing languages (BBPL) provide effective scaffolding for K-12 students to learn computational thinking. However, the output-based assessment in BBPL learning is insufficient as we can not understand how students learn and what mistakes they have had. This study aims to propose a data-driven method that provides insight into…
Descriptors: Programming Languages, Computer Science Education, Problem Solving, Game Based Learning
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Shaheen, Muhammad – Interactive Learning Environments, 2023
Outcome-based education (OBE) is uniquely adapted by most of the educators across the world for objective processing, evaluation and assessment of computing programs and its students. However, the extraction of knowledge from OBE in common is a challenging task because of the scattered nature of the data obtained through Program Educational…
Descriptors: Undergraduate Students, Programming, Computer Science Education, Educational Objectives
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Li-Chen Cheng; Wei Li; Judy C. R. Tseng – Interactive Learning Environments, 2023
Programming ability is the core ability of this era and can be obtained and improved through practice. In this paper, an Automated Programming Assessment system based on Mastery learning and Peer competition (APAMP) was proposed and developed. APAMP allows students to practice repeatedly by providing immediate feedback after their programs are…
Descriptors: High School Freshmen, High School Seniors, Programming Languages, Foreign Countries
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Ramazan Yilmaz – Interactive Learning Environments, 2024
This research, students' technology acceptance, KSB, community of inquiry (CoI), and social interaction space situations were examined in collaborative learning where Zoom was used as a CSCL tool in computer programming courses, and the structural relationships between these variables were revealed. The research was carried out on 162 university…
Descriptors: Cooperative Learning, Technology Uses in Education, Technological Literacy, Student Attitudes
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Silvia Wen-Yu Lee; Jyh-Chong Liang; Chung-Yuan Hsu; Meng-Jung Tsai – Interactive Learning Environments, 2024
While research has shown that students' epistemic beliefs can be a strong predictor of their academic performance, cognitive abilities, or self-efficacy, studies of this topic in computer education are rare. The purpose of this study was twofold. First, it aimed to validate a newly developed questionnaire for measuring students' epistemic beliefs…
Descriptors: Student Attitudes, Beliefs, Computer Science Education, Programming
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