Supporting the Acquisition of Programming Skills with Program Construction Patterns

Kesselbacher, Max

doi:10.1109/icse-companion.2019.00077

Cited by 4 publications

(4 citation statements)

References 9 publications

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“…The benefits of programming learning are manifested in two ways: improving program writing skills [9,13] and promoting problem-solving skills [10,23]. In practical task scenarios, programming usually encounters two types of problems: syntactic errors (i.e., syntax rules of the programming language) and semantic errors (i.e., program logic or algorithms).…”

Section: Programming Learningmentioning

confidence: 99%

Exploring the differences and evolution of college students' computational thinking in programming learning through data analysis

Zhang,

Zeng,

et al. 2023

Comp Applic In Engineering

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Programming has received extensive attention for the embodiment of computational thinking (CT) skills. However, the lack of in‐depth research on the characteristics of college students' CT skills in text‐based programming learning has resulted in the unknown distribution characteristics and evolution patterns of their CT skills, which cannot effectively constitute an effective tracking analysis of their CT skills, thus affecting the cultivation of creative thinking and problem‐solving skills for them. Therefore, the purpose of the paper is to explore the characteristics of college students' CT skills through text‐based programming work and discover the overall characteristics, individual differences and evolutionary patterns of their CT skills on the relation between text‐based programming and CT skills through data analysis. It was found that there are roughly five categories of CT difference and four major categories with nine subcategories of CT evolution among college students. The results showed that the Control and Data skills were the students' dominant skills. In contrast, Algorithm skills were relatively weak. Only about 1/3 of the students had the phenomenon of continuous skill improvement, and programming learning did not have a significant impact on the improvement of CT skills for some students. Finally, we propose several suggestions for CT skills development strategies in response to the students' characteristics in CT skills. The study can not only fill the gaps of the current study but also identify the evolutionary characteristics of students' CT skills, which can effectively intervene in college students' programming learning and help improve their CT skills.

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Section: Programming Learningmentioning

confidence: 99%

Exploring the differences and evolution of college students' computational thinking in programming learning through data analysis

Zhang,

Zeng,

et al. 2023

Comp Applic In Engineering

View full text Add to dashboard Cite

show abstract

“…Computer programming is a crucial and essential course for information technology-related students. Due to the language learning challenges, the selection of teaching methods is a frequent research topic [1,2]. In addition to their indispensability in various fields, programming languages are used as tools for developing critical thinking skills in business [3], medicine [4], and other disciplines.…”

Section: Introductionmentioning

confidence: 99%

“…Programming languages are categorized by most students and researchers as one of the most challenging tasks due to several factors [5] that lead to a high rate of dropout [6] and failure [7,8] in introductory programming courses. Logical thinking [9], reasoning and creativity [10], syntax control [5], and logical analysis [2] are some of these challenging factors that researchers assumed were the cause of the problem. Therefore, it is urgent to solve the issues facing the learners [11].…”

Section: Introductionmentioning

confidence: 99%

Bridging the Gap: Template-Based Coding for Transitioning from Visual Logic to Text-Based Programming

Al-Imamy

2024

IJIET

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Visual programming environments, which utilize visual blocks or flowcharts to represent programming logic, have emerged as a key strategy to assist novice learners in overcoming the complexities associated with text-based programming. However, transitioning from these visual representations to full-text programming often presents a significant challenge for these learners. One solution to this challenge is the use of template-based coding, which has been shown to increase performance and reduce the number of errors made by students studying computer programming. This study used an experimental assignment and survey to evaluate the Code-By-Template (CBT) application among 82 students, revealing enhanced coding proficiency and positive student attitudes, highlighting the effectiveness of CBT in programming learning. The CBT, in particular, has been found to enhance students’ performance in successfully solving programming problems. The observed improvement in performance can be attributed to a 17% increase in scores (correctness) during the same time frame, suggesting a decrease in the number of errors. It is important to acknowledge that the scores mostly depend on the number and type of errors. Beyond this performance improvement, students have also expressed interest, describing the CBT as “extremely helpful” and “making programming easier.” This highlights the qualitative benefits of the tool in promoting appreciation for it, indicating its potential to enhance engagement as well as learning outcomes. The difficulty of learning programming code has had a persistent impact on retention rates in computer programming courses. However, the improved performance and learning ease facilitated by the CBT environment may offer a solution to this retention problem. By making the learning process more manageable and less error-prone, the CBT environment can help to ensure confidence-boosting and interest-fostering that lead to more students successfully completing their programming courses and continuing their studies in this field.

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“…Quite a large number of articles are devoted to the formation of programming skills. For example, for beginners [4], for schoolchildren [5,6] and for students [7], both based on Scratch blocks [8] and Python programming environments [9] and Java [10]. The article is devoted to the assessment of the level of competence formation in the field of programming of future computer science teachers and IT specialists [13].…”

Section: Introductionmentioning

confidence: 99%

Formation of Programming Skills among Students of Scientific, Technical and Natural Science Areas of Training Using the Arduino Platform

et al. 2022

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The problem of improving the educational process of students of scientific, technical and natural science areas of training is one of the relevant aspects of modern pedagogical research. During training, it is necessary to apply new approaches, educational technologies and techniques in order to prepare graduates who are able to independently solve complex scientific, technical and engineering design tasks in the process of modern production. Programming is a universal tool for modeling objects and processes, as well as a powerful tool in developing the thinking of students of scientific, technical and natural science fields of training. The article discusses the issues of formation of programming skills of students based on the use of the Arduino platform. The professional standards are analyzed, the main contradictions of the existing system of training future bachelors in the field of radio electronics and control systems are revealed. The method of organizing effective programming training based on the use of the Arduino platform is presented. The criteria and indicators of the levels of competence formation are given. The results of an experiment on the implementation of the described methodology of teaching programming on the basis of the I.N. Ulyanov Chuvash State University are shown. Using the chi-square criterion, statistical processing of the results of a pedagogical experiment was performed, which convincingly proves that when using the Arduino platform, most students have reached high and advanced levels of programming skills formation.

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Supporting the Acquisition of Programming Skills with Program Construction Patterns

Cited by 4 publications

References 9 publications

Exploring the differences and evolution of college students' computational thinking in programming learning through data analysis

Exploring the differences and evolution of college students' computational thinking in programming learning through data analysis

Bridging the Gap: Template-Based Coding for Transitioning from Visual Logic to Text-Based Programming

Formation of Programming Skills among Students of Scientific, Technical and Natural Science Areas of Training Using the Arduino Platform

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