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Assessing programming education needs of primary and secondary teachers in Guangxi border areas

SCIENTIFIC REPORTS 2025年第1期15卷 1-14页

作者： Ou, Qi Zhong Yao, Xiao Ting Nanning Normal Univ Sch Comp & Informat Engn Nanning 530100 Guangxi Peoples R China

The development of artificial intelligence (AI) education shows shortcomings in China's border areas. To bridge the gap in programming education between border and developed regions, enhancing the programming instructional capacity of primary and secondary school educators in border areas has emerged as a key strategic priority. This study employed a questionnaire survey via an online educational platform targeting educators in the Guangxi border region, exploring the current state of programming education and the professional development needs of teachers in these areas. Through the analysis of teachers' basic profiles, their participation in training, and their training needs, three key constraints are identified: (1) Gender, age, and fundamental differences in the programming proficiency of teachers across different regions;(2) programming training opportunities are scarce and unevenly distributed, with teachers' training needs exhibiting distinct characteristics;(3) the shortage of programming resources represents a significant barrier to the development of programming education in border regions. This study suggests four strategic interventions: (1) an implementation strategy of precision training;(2) innovation in mixed training models;(3) adaptation and allocation of regional resources;and (4) systemic guarantees and ecological reconstruction. These recommendations and countermeasures aim to enhance the quality of educational and training programs in primary and secondary schools within border regions, providing practical guidance for the development of teacher training in underdeveloped regions with limited educational resources.

关键词： Primary and secondary school teachers programming training Precision training Regional differences training needs Teacher training

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Predicting Low and High Student Performance in programming Education Using PLS-SEM Algorithms

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TECHNOLOGY KNOWLEDGE AND LEARNING 2024年 1-18页

作者： Durak, Aykut Bulut, Vahide Necmettin Erbakan Univ Konya Eregli Kemal Akman Vocat Sch Dept Comp Technol Konya Turkiye Assoc Prof Izmir Katip Celebi Univ Dept Comp Engn Software Engn Izmir Turkiye

The study uses the partial least squares-structural equation modeling (PLS-SEM) algorithm to predict the factors affecting the programming performance (PPE) (low, high) of the students receiving computer programming education. The participants of the study consist of 763 students who received programming education. In the analysis of the data, the PLS-SEM method was used with the help of the SmartPLS 4 program. In addition, multigroup SEM was used to examine the differentiation of models between groups with low and high PPE. According to the research results, the percentage of explanation of the model is relatively high in the group with high PPE compared to the group with low performance. According to the findings of the study, age, education level, general academic achievement, and PPE scores were found to be related. In addition, programming experience, attitude, and programming empowerment are related to PPE. The most important of some of the limitations of this study is that the data collected from the participants are based on their self-reports. The results of this study may have important contributions to the differentiation of approaches toward low and high-performing students in supporting programming education. This type of research can help design relevant interventions for students experiencing failures in programming education.

关键词： programming training programming performance Computational identity Computational thinking Empowerment Anxiety

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The effects of different programming trainings on the computational thinking skills

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INTERACTIVE LEARNING ENVIRONMENTS 2021年第7期29卷 1090-1100页

作者： Pala, Ferhat Kadir Turker, Pinar Mihci Aksaray Univ Comp & Instruct Technol Dept Aksaray Turkey

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. Six of twelve groups created a project using the Arduino IDE platform and the other six created one using the C++ programming language. Accordingly, a significant difference, which is in favour of the post-test, was found in the scores of pre-tests and post-tests of Arduino IDE groups in the scale factors;creativity, algorithmic thinking, critical thinking and the total score of the scale. No significant difference was found in cooperativity and problem solving factors. Also, the results of the study did not reveal any significant difference between the scores of pre and post-tests of C++ project groups and overall scores of different groups.

关键词： Computational thinking computational thinking skills programming training Arduino C plus plus

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Effectiveness of the Programmed Visual Contents Comparison Method for Two Phase Collaborative Learning in Computer programming Education: A Case Study 10th

Effectiveness of the Programmed Visual Contents Comparison M...

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29th International Conference on Database Systems for Advanced Applications (DASFAA)

作者： Thanh Ha Nguyen Sun, Yi Nishida, Takeshi Wang, Xiaonan Ohtsuki, Kazuhiro Kiyomitsu, Hidenari Kobe Univ Kobe Hyogo Japan Kobe Inst Comp Kobe Hyogo Japan

ISBN: (纸本)9789819609130;9789819609147

This paper introduces the Programmed Visual Content Comparison (PVCC) for collaborative programming learning. The PVCC is based on comparing two displayed visual objects produced by programming. This feature enables candidates to take the tests in a lighthearted and fun manner because they only judge "which is more difficult." The test based on the PVCC method works well to assess a candidate's programming abilities related to Panoramic Understanding of programming (PUP). We conducted a collaborative learning experiment with students in a programming class using the PVCC method. This experiment method contains two phases of activity. First, each candidate answers a problem with the reason for the judge. In the second (collaborative phase), candidates discuss their answers and reasons in a group and then make the group answer with its explanation. The result from the experiment suggests a potential that collaborative learning facilitated by the PVCC method is beneficial for students in programming education by improving understanding and problem-solving skills in programming.

关键词： computer science education programming training collaborative learning software engineering

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Giochi di Fibonacci: Competitive programming for Young Students 35

Giochi di Fibonacci: Competitive Programming for Young Stude...

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35th International Olympiad in Informatics, IOI 2023

作者： Audrito, Giorgio Ciobanu, Madalina Laura, Luigi Department of Computer Science University of Torino Italy University of Molise Italy Uninettuno University Rome Italy

In this paper, we share the experience gained by organizing and running a programming contest for upper primary and lower secondary schools students;contestants compete in their own age division. This contest, called Giochi di Fibonacci (Fibonacci’s games), is organized in three phases, where the first one is based only on logical and algorithmical quizzes, whilst the other two deal with coding, either in Scratch or in a simplified pseudo-code programming environment developed for this scope. © 2023 Vilnius University. All rights reserved.

关键词： Olympiads in Informatics peer education programming contest programming training

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Developing Computational Thinking Skills of High School Students: Design-Based Learning Activities and programming Tasks

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ASIA-PACIFIC EDUCATION RESEARCHER 2020年第1期29卷 35-54页

作者： Saritepeci, Mustafa Necmettin Erbakan Univ Eregli Fac Educ Dept Comp Educ & Instruct Technol Konya Turkey

This paper is to investigate into the effect of design-based learning (DBL) activities and programing training on computational thinking (CT) skills. In total, 119 from the ninth grade students were recruited for this study conducted within the scope of Computer Science course. A semi-experimental research design was adopted, and DBL activities were included in one group, while the other group attended in the programming training took place. The duration of the study was planned as fourteen weeks and the data were obtained in the 1st and 14th weeks of the experimentation. During the analysis phase, the paired sample t test was employed for in-group comparisons, whereas the independent samples t test analysis was utilized to make comparisons between groups. This study finds evidence to suggest that there was a significant positive development at CT levels after the experimentation in both groups. The most remarkable result to emerge from the data is that DBL activities had also a similar effect on CT skills compared to programming training considered as important in teaching CT and developing it. Further inquiries should be undertaken in the relationship between DBL and programming training with CT skill through qualitative or mixed research designs in depth.

关键词： Computational thinking programming training Design-based learning

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programming a Robot or an Avatar A Study on Learning Outcomes, Motivation, and Cooperation 15

Programming a Robot or an Avatar A Study on Learning Outcome...

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15th Annual ACM/IEEE International Conference on Human-Robot Interaction (HRI)

作者： van den Berghe, Rianne Petersen, Hans Hellendoorn, Annika van Keulen, Hanno Univ Utrecht Dept Special Educ Utrecht Netherlands Windesheim Univ Appl Sci Leadership Educ & Dev Almere Netherlands

ISBN: (纸本)9781450370578

Robots have been found to be effective tools for programming instruction, although it is not yet clear why students learn more using robots as compared to receiving 'traditional' programming instruction. In this study, 121 nine- to twelve-year-old children received a programming training in pairs, in one of two conditions: using either a robot or a virtual avatar. The training was videotaped to study differences in children's cooperation. Furthermore, children's learning outcomes and motivation were assessed through questionnaires. Children were found to learn more from programming the robot than the avatar, although no differences in their cooperation during the training or self-reported motivation were found between the two conditions. Thus, future research is required to further understand how exactly robots lead to higher learning outcomes than 'traditional' tools.

关键词： Robot Avatar Children programming training Learning outcomes Motivation Cooperation

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Modeling Different Variables in Learning Basic Concepts of programming in Flipped Classrooms

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JOURNAL OF EDUCATIONAL COMPUTING RESEARCH 2020年第1期58卷 160-199页

作者： Durak, Hatice Yildiz Bartin Univ Fac Educ Dept Comp Educ & Instruct Technol Bartin Turkey

Learning the basic concepts of programming and its foundations is considered as a challenging task for students to figure out. It is a challenging process for lecturers to learn these concepts, as well. The current literature on programming training abounds with the examples of a wide range of methods employed. Within this context, one of the prominent approaches in programming training is flipped classroom (FC) model. This article has sought to illuminate the effect of cognitive flexibility, problem-solving skills (PSS), and flipped learning readiness (FLR) levels on students' programming achievements in programming training through FC model. A total of 149 freshmen computer science students studying in a state university in Turkey were recruited for this study. In this study, designed as a relational screening model, a personal form, an achievement test, and three different data collection instruments were employed to collect data. For the data analysis, structural equation modeling, a multivariate statistical analysis technique, was used to reveal a model explaining and predicting the relations between programming achievement and different variables. The findings clearly indicate that FLR is the most important predictor of the programming achievements of students in FC. Other important predictors were found as PSS and cognitive flexibility. The research model demonstrates that an increase or development in FLR, PSS, and cognitive flexibility levels in FC will enhance the achievements of students in programming.

关键词： programming training App Inventor flipped classroom cognitive flexibility problem-solving skills university students

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An Approach for Evaluating IT Employees' programming Ability Using the Programed Visual Contents Comparison Method

An Approach for Evaluating IT Employees' Programming Ability...

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IEEE International Conference on Teaching, Assessment, and Learning for Engineering (IEEE TALE) - Engineering Next-Generation Learning

作者： Kiyomitsu, Hidenari Calderon, Dick Martinez Ohtsuki, Kazuhiro Sun, Yi Samura, Toshiharu Hirabayashi, Masami Miyamoto, Yukinobu Kobe Univ Grad Sch Intercultural Studies Kobe Hyogo Japan Kobe Univ Grad Sch Informat Technol Kobe Hyogo Japan Akashi Coll Natl Inst Technol Dept Elect & Comp Engn Akashi Hyogo Japan Inst Adv Media Arts & Sci IAMAS Gifu Japan

ISBN: (纸本)9781538665220

This paper discusses the practical applicability of the Programmed Visual Contents Comparison Method (PVCC) to IT employees. The PVCC is an aptitude and ability test to evaluate programming ability related to the Panoramic Understanding of programming (PUP). We perform two types of experiments. The first is an individual appraisal. Candidates who have different programming education and different job experiences undergo tests and provide feedback after seeing the correct answers and their explanations. The second type is collaborative learning. Several candidates view the same question and discuss the correct answer. Results demonstrate that the test adequately measures the ability of candidates. Moreover, the test can assess a person's aptitude for PUP through working in an IT company, even having never programed. Results also demonstrate that the test is suitable for both self-diagnosing and collaborative learning in IT companies, because candidates can take the tests in a lighthearted and fun manner.

关键词： computer science education programming training graphic design software engineering

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Ideas that Were Forgotten 40 Years Ago and How They Can Change Our Life 4

Ideas that Were Forgotten 40 Years Ago and How They Can Chan...

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4th International Conference on Computer Technology in Russia and in the Former Soviet Union (SORUCOM)

作者： Nedoria, Aleksei Synerget Lab Ltd St Petersburg Russia

ISBN: (纸本)9781538647417

programming technologies have not changed significantly during last twenty years and that fact does not fit well with fast progress in various computing areas, like mobile communications, cloud computing, IoT. If we want to understand how to improve programming technologies, we need to get out of the usual point of view and to find a new point of view, looking from where we can see the way for improvements. As the point of view we propose to take ordinary programming, by which we mean a set of action a person does to program personal devices to solve everyday task. The article gives the definition of ordinary programming, samples of problems that can be solved using ordinary programming and an approach to implementation it. It is shown that the implementation of ordinary programming leads to the Lexicon of programming in terms of A.P. Ershov article (1983) and gives new meaning to the Ershov's words about programming as a second literacy.

关键词： ordinary programming the lexicon of programming programming training self-describing components

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