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49th IEEE Frontiers in Education Conference (FIE)

作者： Amanullah, Kashif Univ Canterbury Dept Comp Sci Christchurch New Zealand

ISBN: (纸本)9781728117461

Teaching programming to school children is a challenging task. This report summarizes the research problem, and outlines the research questions around the issues with block based languages and suitability of elementary patterns as a possible solution. Results to date show a little use of important programming elements even after many years of use, and there is no clear sign of progression in skills with or without remixing.

关键词： programming patterns Scratch primary school students

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Edelweiss: Automatic Storage Reclamation for Distributed programming

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PROCEEDINGS OF THE VLDB ENDOWMENT 2014年第6期7卷 481-492页

作者： Conway, Neil Alvaro, Peter Andrews, Emily Hellerstein, Joseph M. Univ Calif Berkeley Berkeley CA 94720 USA

Event Log Exchange (ELE) is a common programming pattern based on immutable state and messaging. ELE sidesteps traditional challenges in distributed consistency, at the expense of introducing new challenges in designing space reclamation protocols to avoid consuming unbounded storage. We introduce Edelweiss, a sublanguage of Bloom that provides an ELE programming model, yet automatically reclaims space without programmer assistance. We describe techniques to analyze Edelweiss programs and automatically generate application-specific distributed space reclamation logic. We show how Edelweiss can be used to elegantly implement a variety of communication and distributed storage protocols;the storage reclamation code generated by Edelweiss effectively garbage-collects state and often matches hand-written protocols from the literature.

关键词： Reclamation Application programs Application specific Distributed programming Distributed storage programming models programming patterns

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Automatic parallelization of representative-based clustering algorithms for multicore cluster systems

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INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS 2020年第2期10卷 135-159页

作者： Islam, Saiyedul Balasubramaniam, Sundar Gupta, Shruti Brajesh, Shikhar Badlani, Rohan Labhishetty, Nitin Baid, Abhinav Goyal, Poonam Goyal, Navneet Birla Inst Technol & Sci Pilani Adv Data Analyt & Parallel Technol Lab Dept Comp Sci & Informat Syst Pilani Campus Pilani Rajasthan India

Ease of programming and optimal parallel performance have historically been on the opposite side of a trade-off, forcing the user to choose. With the advent of the Big Data era and the rapid evolution of sequential algorithms, the data analytics community can no longer afford the trade-off. We observed that several clustering algorithms often share common traits-particularly, algorithms belonging to the same class of clustering exhibit significant overlap in processing steps. Here, we present our observation on domain patterns in representative-based clustering algorithms and how they manifest as clearly identifiable programming patterns when mapped to a Domain Specific Language (DSL). We have integrated the signatures of these patterns in the DSL compiler for parallelism identification and automatic parallel code generation. The compiler either generates MPI C++ code for distributed memory parallel processing or MPI-OpenMP C++ code for hybrid memory parallel processing, depending upon the target architecture. Our experiments on different state-of-the-art parallelization frameworks show that our system can achieve near-optimal speedup while requiring a fraction of the programming effort, making it an ideal choice for the data analytics community. Results are presented for both distributed and hybrid memory systems.

关键词： Clustering Domain Specific Language Parallelizing compiler High Performance Computing programming patterns

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Validating, Refining, and Identifying programming Plans Using Learning Curve Analysis on Code Writing Data 24

Validating, Refining, and Identifying Programming Plans Usin...

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20th Annual Conference on International Computing Education Research (ICER)

作者： Demirtas, Mehmet Arif Fowler, Max Hu, Nicole Cunningham, Kathryn Univ Illinois Urbana IL 61801 USA

ISBN: (纸本)9798400704758

Background and Context: A major difference between expert and novice programmers is the ability to recognize and apply common and meaningful patterns in code. Previous works have attempted to identify these patterns as programming plans, such as counting or filtering the items of a collection. However, these efforts primarily relied on expert opinions and yielded many varied sets of plans. No methods have been applied to evaluate these various programming plans as far as their alignment with novices' cognitive development. Objectives: In this work, we investigate which programming plans are learned as discrete skills. To this end, we evaluate how well students transfer their knowledge between problems that test a particular plan. Further, we explore how plan definitions can be improved to better represent student cognition using historical data on student performance collected from a programming course. Method: We apply learning curve analysis, a method for modeling student improvement on problems that test a particular skill, using programming plans as a skill model. More specifically, we study student submissions on code-writing exercises in Python from a CS1 class for non-majors that includes many small programming problems as well as implicit and explicit instruction on patterns. We compare the learning curves for ten programming plans across seven semesters of the same course. Findings: Students develop the skill of using some programming plans in their solutions, indicated by consistent declines in error rates on practice opportunities for a subset of plans in multiple semesters with various conditions. Most consistently learned plans have clear and concrete goals that can be explained in natural language, as opposed to having abstract definitions or being explained in terms of language structures. Implications: We show that learning curve analysis can be used to empirically assess the cognitive validity of proposed programming plans, as well as compare variou

关键词： learning curve analysis CS1 programming plans programming patterns knowledge components

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Analysing Students' Scratch Programs and Addressing Issues using Elementary patterns 48

Analysing Students' Scratch Programs and Addressing Issues u...

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48th IEEE Frontiers in Education Conference (FIE)

作者： Amanullah, Kashif Bell, Tim Univ Canterbury Dept Comp Sci Christchurch New Zealand

ISBN: (纸本)9781538611746

In this Work in Progress paper in the Research Category we report on existing concerns about Scratch programming, and introduce patterns as a possible solution. Scratch is a popular language for introducing students to programming, but there is a concern that the students might not be exposed to all the key elements of programming when the development environment tempts them to explore elements such as the range of sprites available. We propose the use of programming patterns as a measure of the sophistication of student work. To understand the importance of patterns we report on our initial work that analyzes a large number of projects from the public Scratch repository to evaluate how extensively the basic patterns appear in student work. This can help inform the improvement of teaching methods to include use of broader range of patterns.

关键词： programming patterns Scratch primary school students

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Pattern-based Automatic Parallelization of Representative-based Clustering Algorithms 5

Pattern-based Automatic Parallelization of Representative-ba...

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5th IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA)

作者： Islam, Saiyedul Balasubramaniam, Sundar Gupta, Shruti Brajesh, Shikhar Badlani, Rohan Labhishetty, Nitin Baid, Abhinav Goyal, Poonam Goyal, Navneet Birla Inst Technol & Sci Pilani Dept Comp Sci & Informat Syst Adv Data Analyt & Parallel Technol Lab Pilani Campus Pilani Rajasthan India BITS Pilani Pilani Rajasthan India

ISBN: (纸本)9781538650905

Ease of programming and optimal parallel performance have historically been on the opposite side of a tradeoff, forcing the user to choose. With the advent of the Big Data era and rapid evolution of sequential algorithms, the data analytics community can no longer afford the tradeoff. We observed that several clustering algorithms often share common traits-particularly, algorithms belonging to same class of clustering exhibit significant overlap in processing steps. Here, we present our observation on domain patterns in Representative-based clustering algorithms and how they manifest as clearly identifiable programming patterns when mapped to a Domain Specific Language (DSL). We have integrated the signatures of these patterns in the DSL compiler for parallelism identification and automatic parallel code generation. Our experiments on different state-of-the-art parallelization frameworks shows that our system is able to achieve near-optimal speedup while requiring a fraction of the programming effort, making it an ideal choice for the data analytics community.

关键词： Clustering Domain Specific Language Parallelizing Compiler High Performance Computing programming patterns

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Collaborative Application for Rapid Design of Paintings in Vector Format 17th

Collaborative Application for Rapid Design of Paintings in V...

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17th International Conference on Cooperative Design, Visualization, and Engineering (CDVE)

作者： Atencio, Yalmar Ponce Ibarra, Manuel J. Baca, Herwin Huillcen Univ Nacl Jose Maria Arguedas Andahuaylas Apurimac Peru Univ Nacl Micaela Bastidas de Apurimac Abancay Apurimac Peru

ISBN: (纸本)9783030608156;9783030608163

Online cooperative or collaborative work have become common nowadays, because this helps to do any job without require meet together physically in one place. On the other hand, due to out current reality, inherent to many health conditions, traffic difficulties, and social insecurity;virtual or distance education is increasingly being promoted. In that sense, the main goal of this research work is develop a web based collaborative tool for rapid designing paints. This could be useful in many different areas, like as replacing the classical whiteboard, or express ideas to a workgroup, or even to design any realistic picture. This application allows to work together with a group of around ten connected users to collaborate virtually designing drawings in real time. The interaction experience depends on the internet bandwidth of all the users. For the implementation, many open source popular frameworks and programming utilities have been used. The presented results demonstrate the high scalability and versatility of our system being capable of managing hundreds of objects in real time.

关键词： Cooperative Design (CD) Collaborative application Virtual education Real time interaction Cooperative painting programming patterns

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Learner Modeling for Integration Skills 17

Learner Modeling for Integration Skills

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25th ACM International Conference on User Modeling, Adaptation and Personalization (UMAP)

作者： Huang, Yun Guerra-Hollstein, Julio Barria-Pineda, Jordan Brusilovsky, Peter Univ Pittsburgh Intelligent Syst Program Pittsburgh PA 15260 USA Univ Austral Chile Inst Informat Valdivia Chile Univ Pittsburgh Sch Informat Sci Pittsburgh PA USA

ISBN: (纸本)9781450346351

Complex skill mastery requires not only acquiring individual basic component skills, but also practicing integrating such basic skills. However, traditional approaches to knowledge modeling, such as Bayesian knowledge tracing, only trace knowledge of each decomposed basic component skill. This risks early assertion of mastery or ineffective remediation failing to address skill integration. We introduce a novel integration-level approach to model learners' knowledge and provide fine-grained diagnosis: a Bayesian network based on a new kind of knowledge graph with progressive integration skills. We assess the value of such a model from multifaceted aspects: performance prediction, parameter plausibility, expected instructional effectiveness, and real-world recommendation helpfulness. Our experiments based on a Java programming tutor show that proposed model significantly improves two popular multiple-skill knowledge tracing models on all these four aspects.

关键词： learner modeling knowledge tracing programming patterns skill integration Bayesian network

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Software for Selective Laser Melting Syste

Software for Selective Laser Melting Syste

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Global Smart Industry Conference (GloSIC)

作者： Romanov, Eugeny L. Tokarev, Vadim G. Novitskaya, Yuliya V. Bezrukov, Ivan A. Filimonenko, Vladimir N. NSTU Novosibirsk Russia Electroplasma Equipment & Syst EPOS Novosibirsk Russia

ISBN: (纸本)9781538673867

In this paper, the hardware-software architecture of a Selective Laser Melting (SLM) system is outlined. The hardware-software architecture consists of a controller and a host computer. The Java-developed host computer software runs the following operations: viewing of 3D models, slicing of models saved in the STL format into files with a system-specific format, 2D editing and correction of data in the layers, control of the hardware during 3D printing, and generation of test models. The embedded software of the controller accepts commands and data from the host computer, controls the movement of mirrors of laser beam positioning in two coordinates and that of the build platform and the feed cartridge. The communication protocol built on USB or UDP (TCP/IP) provides the delivery of settings and print parameters into the controller. In addition, it enables state monitoring and control of the print command flow into the hardware. The slicing algorithms for different hatching and laser beam movement patterns are considered. The examples of models are shown, in which manual correction of the generated contours is required. The slicing and printing productivities are calculated. The problems of the programming technology (design) and software productivity management, such as the usage of patterns, graphical indexing, productivity profiling and parallel processing, are discussed.

关键词： selective laser melting 3D slicing additive technologies software productivity software profiling parallel processing programming patterns

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GroupSpeak: High-level language extension for workflow capability

GroupSpeak: High-level language extension for workflow capab...

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IEEE International Conference on Web Services (ICWS 2009)

作者： Gutman, Moshe Radhakrishnan, Sridhar Kim, Changwook Sekharan, Chandra N. Laufer, Konstantin Univ Oklahoma Sch Comp Sci Norman OK 73019 USA Loyola Univ Dept Comp Sci Chicago IL USA

ISBN: (纸本)9781424449293

Currently, workflow systems are either XML based or component based. Both paradigms have usability deficiencies. XML is not designed for procedural programming. Legacy code is difficult to adapt to component based systems. We propose a new paradigm by adding workflow keywords to an existing high-level language. This approach, called GroupSpeak, uses a procedural style of programming and allows for easy introduction of workflow patterns to legacy code. The programmer can leverage their existing knowledge of the high-level language to easily add workflow capabilities to their applications.

关键词： workflow language extensions programming patterns web services composition

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