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The learning Performance of Different Knowledge Map Construction Methods and learning Styles Moderation for programming language learning

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JOURNAL OF EDUCATIONAL COMPUTING RESEARCH 2019年第8期56卷 1407-1429页

作者： Shaw, Ruey-Shiang Tamkang Univ Dept Informat Management 151 Yingzhuan Rd New Taipei 25137 Taiwan

This study focused on the relationships between knowledge mapping construction methods and learning performance. The different knowledge mapping methods (by experts vs. by self-learners) were assumed to achieve different learning performance levels. The results of this study show that neither different knowledge map construction methods nor learning styles significantly influenced individual learning performance. Either of the knowledge map construction methods applied to the programming language learning and the learning scores are significantly higher than average. learning style does not moderate knowledge map construction methods on learning scores. However, learning style is a significant moderator of knowledge map construction methods on learning satisfaction. Different knowledge map construction methods should be considered with different learning styles to significantly increase learning satisfaction. The results could be used to design effective programming language learning materials.

关键词： knowledge map knowledge map construction methods learning styles learning performance programming language learning

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Can Distributed Practice Improve Students' Efficacy in learning their First programming language? 25

Can Distributed Practice Improve Students' Efficacy in Learn...

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25th International Conference on Computers in Education (ICCE) - Technology and Innovation - Computer-Based Educational Systems for the 21st Century

作者： Zhang, Qiujie Zhang, Lishan Li, Baoping Chen, Ling Hsiao, I-Han Wu, Fati Beijing Normal Univ Beijing Adv Innovat Ctr Future Educ Beijing Peoples R China Beijing Normal Univ Fac Educ Beijing Peoples R China Arizona State Univ Sch Comp Informat & Decis Syst Engn Tempe AZ 85287 USA

ISBN: (纸本)9789869401265

learning how to program has become required for many majors in higher education. However, programming is not easily learned, especially for non-engineering students. To improve students' learning efficiency, we applied distributed practice to a C programming class with 69 college students in first grade, but have students decide the space of practice by themselves. By mining the relationships between practice patterns and learning performance, we found that students who practiced with high frequency significantly outperformed those who practiced infrequently. The frequency of practice was a strong predictor of both homework grades (p=0.001) and midterm exam grades (p=0.023). By contrast, the total amount of practice had very little effect on learning performance. The result shows that distributed practice is a better learning strategy than massed practice in C programming language learning. But the optimized space of practice in this domain has not been completely revealed yet.

关键词： distributed practice massed practice programming language learning higher education

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Revolutionizing programming language Education with Generative AI: Knowledge Enrichment and Adaptive learning/Teaching Framework 8th

Revolutionizing Programming Language Education with Generati...

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8th International Conference on Emerging Technologies for Education (SETE)

作者： Khiem, H. G. Khoi, L. Q. Triet, M. N. Phuc, N. T. Khoa, T. D. Hien, N. Q. Tung, L. K. Nam, T. B. Vinh, N. T. Kha, N. H. Thuan, Q. T. Bang, L. K. Minh, N., V Ngan, N. T. K. Khanh, H., V FPT Univ Can Tho Vietnam FPT Polytech Can Tho Vietnam

ISBN: (纸本)9789819742455;9789819742462

The digital era, marked by swift advancements in artificial intelligence (AI), has reshaped the educational landscape, particularly in e-learning platforms and digital assistants. While initial forays into AI-enhanced education relied on static algorithms, the evolving needs of global learners demand more dynamic solutions. This paper introduces the Knowledge Enrichment and Adaptive learning/Teaching Framework (KEALTF), a transformative approach that marries cutting-edge technologies with intricate data preparation. Designed to offer a dynamic educational experience, this framework leverages tools such as ***, MongoDB, and advanced AI libraries, including ChatGPT. By ensuring a holistic and synergistic learning environment, KEALTF aims to redefine the future of programming language education.

关键词： programming language learning Generative AI Adaptive Education Artificial Intelligence in Education Personalized learning

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Using Facebook to enhance learning experiences of students in computer programming at Introduction to programming and Algorithm course

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COMPUTER APPLICATIONS IN ENGINEERING EDUCATION 2016年第4期24卷 546-554页

作者： Ozyurt, Ozcan Ozyurt, Hacer Karadeniz Tech Univ Dept Software Engn Fac Technol TR-61830 Of Trabzon Turkey

The purpose of this study is to evaluate the effect of using Facebook on enriching the learning experiences of students in programming learning. In another word, the aim of the study is to detect the reflections from the environment of programming learning where Facebook is used. The study was carried out within the scope of the Introduction to programming and Algorithm course taught in the software engineering department of the technology faculty of a university in Turkey. Initially, a Facebook group was created to enrich classroom teaching. Sixty-three freshman engineering students taking the course and the faculty members of the department joined the group. The study was conducted for one semester in the fall semester of the 2014-2015 academic year. The Educational Usage of Facebook Scale (EUFS) and semi-structured interview form were used as data collection tools in the study. Quantitative data were descriptively analyzed while qualitative data were subjected to content analysis. The results obtained in this study show that Facebook has positive effects such as providing a rich content in programming learning, increasing extracurricular communication, offering a cooperative and collaborative learning environment, increasing motivation, and bringing different perspectives as well as negative effects such as causing distraction, decreasing face-to-face communication, and bringing about problems about expressing oneself. As a result, it is possible to assert that Facebook can be efficiently used to support classroom teaching strategies and enrich learning experiences in programming learning. (c) 2016 Wiley Periodicals, Inc. Comput Appl Eng Educ 24:546-554, 2016;View this article online at;DOI

关键词： educational usage of Facebook programming language learning social network improving classroom teaching engineering education

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What Happens When Students Switch (Functional) languages (Experience Report)

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PROCEEDINGS OF THE ACM ON programming languageS-PACMPL 2023年第ICFP期7卷 796–812页

作者： Lu, Kuang-Chen Krishnamurthi, Shriram Fisler, Kathi Tshukudu, Ethel Brown Univ Dept Comp Sci Providence RI 02912 USA Univ Botswana Gaborone Botswana

When novice programming students already know one programming language and have to learn another, what issues do they run into? We specifically focus on one or both languages being functional, varying along two axes: syntax and semantics. We report on problems, especially persistent ones. This work can be of immediate value to educators and also sets up avenues for future research.

关键词： programming language learning language transfer Pyret Python Racket

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Does a Distributed Practice Strategy for Multiple Choice Questions Help Novices Learn programming?

INTERNATIONAL JOURNAL OF EMERGING TECHNOLOGIES IN LEARNING

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INTERNATIONAL JOURNAL OF EMERGING TECHNOLOGIES IN learning 2020年第18期15卷 234-250页

作者： Zhang, Lishan Li, Baoping Zhang, Qiujie Hsiao, I-Han Cent China Normal Univ Wuhan Peoples R China Beijing Normal Univ Fac Educ Beijing Peoples R China Arizona State Univ Sch Comp Informat & Decis Syst Engn Tempe AZ 85287 USA

learning how to program isbecoming essential in many disciplines. However, programming cannot be easily learned, especially by non-engineering students. Therefore, it is important to teach non-engineering students to learn with efficient strategies. To discover an efficient learning strategy, we had 64 students practice programming with a simple learning management system and tracked all of their practice behaviors on multiple choice questions. The learning management system assigned one multiple choice question per day, but let students themselves decide their own practice frequencies. Students could also make unsynchronized communications by commenting on the questions. By analyzing their behavior patterns and other performance indicators, this paper compared the effect of two different practice strategies for multiple choice questions: distributed practice and massed practice. Our analysis found that students who adopted distributed practice significantly outperformed those who adopted massed practice on final exams (p=0.031). We further explored the possible reasons that led to this significant difference. Students who adopted distributed practice strategy tended to make higher percentage of first submission correctness, be more cautious while correcting errors, and be more constructive in posting question-related comments.

关键词： Distributed practice massed practice programming language learning multiple choice question data analysis

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A programming language for matrices operations and LATEX code generation

A programming language for matrices operations and LATEX cod...

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International Conference on Engineering & MIS (ICEMIS)

作者： Benaddy, Mohamed El Habil, Brahim Ibn Zohr Univ Agadir Polydisciplinary Fac Ouarzazate Dept Math Comp Sci & Management Lab Engn Sci & Energy Agadir Morocco

ISBN: (纸本)9781509055791

In this paper we present a programming language for writing programs for matrices operations, such as addition, subtraction, multiplication, determinant, inverse and cofactors and so on. This language operates with any dimension matrices. The instructions of this language are simple to use and learn by mathematicians at high school and to elaborate LATEX format courses with a minimal efforts, because of its simple lexical units and syntactic rules. These instructions are similar to that used in the matrices courses. So it can be used by students and or teachers without knowledge on other high level programming languages like C, C++, Java, Matlab, Scilab or other scientific programming languages.

关键词： programming language matrices operations programming language learning lexical analysis syntactic analysis

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Identifying learning-Inductive Content in programming Discussion Forums 45

Identifying Learning-Inductive Content in Programming Discus...

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45th Annual Frontiers in Education Conference (FIE)

作者： Hsiao, I-Han Naveed, Fatima Arizona State Univ Sch Comp Informat & Decis Syst 699 S Mill Ave Tempe AZ USA

ISBN: (纸本)9781479984541

Online programming discussion forums are popular trouble-shooting and problem-solving sites for programmers and learners to reach out for help. The massive volumes of forum threads harbor tremendous amounts of information, but at the same time increase the complexity of search and navigation. In this work, we make use of programming discussions' syntactic, semantic and social features to model content associated with learning activities based on the ICAP learning framework. Our main goal is to detect useful content for learning programming in a large scale of questions and answers, while at the same time experiment with an artificial intelligence approach to detect learning-inductive content. We build regression models based on the defined constructive learning activities. Results reveal a passive-proactive learning behavior in an online programming discussion forum. The findings also reconfirm the value of programming discussion content, disregarding the crowds' approval. The automatic detection of constructive learning activities from programming discussions can be a helpful classifier in identifying relevant educational resources. Overall, this project contributes to our understanding on analyzing and utilizing mass programming discussion content for online programming language learning.

关键词： learning activity engagement activity discourse analysis programming language learning constructive learning discussion forum programming semantic modelling learning assessment

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Analysis of the learning Effects between Text-based and Visual-based Beginner programming Environments 8

Analysis of the Learning Effects between Text-based and Visu...

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8th IEEE International Conference on Engineering Education (ICEED)

作者： Saito, Daisuke Washizaki, Hironori Fukazawa, Yoshiaki Waseda Univ Tokyo Japan

ISBN: (纸本)9781509015962

Although different programming environments have been developed to teach programming to beginners, the programming environment most suitable for introductory education is unknown in terms of the programming method such as text or visual. This study applies programming learning using a digital game, Minecraft, to compare the learning effect of text-based and visual-based programming in the LUA programming environment provided by a Minecraft extension. Both methods have certain learning effects, but visual-based programming has more significance than text-based programming on the attitude toward programming, indicating that visual-based programming is superior to text-based programming in introductory education.

关键词： programming language learning Introductory education Digital game-based learning Minecraft

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An Experimental Online Judge System Based on Docker Container for learning and Teaching Assistance

An Experimental Online Judge System Based on Docker Containe...

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IEEE Conference on SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation

作者： Han, Yibo Zhang, Zheng Yuan, Bo Bi, Haixia Shahzad, Mohammad Nasir Liu, Lu Nanyang Inst Technol Sch Software Nanyang Henan Peoples R China Univ Derby Sch Elect Comp & Math Derby England Unviers Leicester Dept Informat Leicester Leics England

ISBN: (纸本)9781728140346

programming languages are core courses in computer science and computing-related disciplines, and there are increasing demands on improving the experiences, motivation and efficiency of programming language teaching and learning. In recent decades, online judge (OJ) systems have been popularly adopted in educational environments to support real-time learning feedback, and provide interactive programming practice. However, most existing OJ systems rely on significant resource for hardware virtualization, and suffer from long development cycles and extensive maintenances. This paper proposed a course-oriented OJ system based on the Docker Container techniques to significantly reduce the cost and maintenance of deployment of existing OJ system. The proposed approach is designed in the form of an experimental system, which is effective in stimulating the students to learn programming language and assist the instant assessment of coursework. Meanwhile, our proposed system can be integrated with major massive open online course (MOOC) systems for assessment. The efficiency and performance of our proposed system has been evaluated and tested by 1460 students in Nanyang Institute of Technology during term time between 2018 and 2019.

关键词： programming language learning Online Judge Docker Container Experimental teaching system MOOCs

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