The Educational Programming Language Logo: Its Nature and Its Use in Australia Anne Mcdougall, John Murnane, Sandra Wills
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Hal Abelson Education: Princeton AB (Summa Cum Laude)
Hal Abelson Education: Princeton A.B. (summa cum laude) 1969 MIT Ph.D. (Mathematics) 1973 Professional Appointments: 1994–present MIT Class of 1922 Professor MIT 1991–present Full Professor of Computer Sci. and Eng. MIT 1982–1991 Associate Professor of Electrical Eng. and Computer Sci. MIT 1979–1982 Associate Professor, Dept. of EECS and Division for Study and Res. in Education MIT 1977–1979 Assistant Professor, Dept. of EECS and DSRE MIT 1974–1979 Lecturer, Dept. of Mathematics and DSRE MIT 1974–1979 Instructor, Dept. of Mathematics and DSRE MIT Selected publications relevant to this proposal: 1. “Transparent Accountable Data Mining: New Strategies for Privacy Protection,” with T. Berners- Lee, C. Hanson, J, Hendler, L. Kagal, D. McGuinness, G.J. Sussman, K. Waterman, and D. Weitzner. MIT CSAIL Technical Report, 2006-007, January 2006. 2. “Information Accountability,” with Daniel J. Weitzner, Tim Berners-Lee, Joan Feigenbaum, James Hendler, and Gerald Jay Sussman, MIT CSAIL Technical Report, 2007-034, June 2007. Available at http://hdl.handle.net/1721.1/37600. 3. “The Creation of OpenCourseWare at MIT,” J. Science Education and Technology, May, 2007. 4. Structure and Interpretation of Computer Programs, Hal Abelson, Gerald Jay Sussman and Julie Sussman, MIT Press and McGraw-Hill, 1985, (published translations in French, Polish, Chinese, Japanese, Spanish, and German). Second Edition, 1996. 5. “The Risks of Key Recovery, Key Escrow, and Trusted Third-Party Encryption,” with Ross Ander- son, Steven Bellovin, Josh Benaloh, Matt Blaze, Whitfield Diffie, John Gilmore, Peter Neumann, Ronald Rivest, Jeffrey Schiller, and Bruce Schneier, in World Wide Web Journal, vol. 2, no. -
Python 3 – Turtle Graphics Today's Lecture Logo and Turtle Graphics
Today’s lecture The Turtle graphics package Brief history Basic commands Drawing shapes on screen Python 3 – Turtle graphics Lecture 25 – COMPSCI111/111G SS 2018 1 2 Logo and Turtle graphics The Turtle package In 1967, Seymour Papert and Wally Feurzeig created an Some functions are part of Python’s core libraries, in interpretive programming language called Logo. other words they are ‘built-in’ Papert added commands to Logo so that he could control a print() turtle robot, which drew shaped on paper, from his computer input() Turtle graphics is now part of Python float() Using the Turtle involves instructing the turtle to move on the Other functions need to be imported into your screen and draw lines to create the desired shape Python program The turtle module needs to be imported at the start of any Python program that uses it: import turtle 3 4 Basic Turtle commands Turtle example Using the Python interpreter in IDLE to demonstrate how to There are four basic turtle commands use Turtle graphics turtle.forward(x) First, import the turtle package Moves turtle forward in direction it is facing by x steps turtle.back(x) Moves turtle backward from its facing direction by x steps >>> import turtle turtle.left(x) >>> Turns the turtle x degrees counterclockwise turtle.right(x) Turns the turtle x degrees clockwise 5 6 Turtle example Algorithm We are going to draw a right-angled triangle 90° Important information: The turtle appears as an icon draw a line x-axis (0,0) Initial position: (0, 0) 180° 0° Turn 90 degrees left (anti-clockwise) Initial direction: East (0°) Colour: black draw a line Line width: 1 pixel y-axis Turn 135 degrees left (anti-clockwise) Pen: down (ready to draw) 270° 7 8 draw a line 90degree Turtle example Turtle example Initial direction: 0 Step 1: Draw a line Note how the turtle is now facing upward after being turned 90 degrees left >>> import turtle >>> import turtle >>> >>> >>> turtle.forward(200) >>> turtle.forward(200) >>> >>> turtle.left(90) 1. -
Agent-Based Modeling with Netlogo
Agent-Based Modeling with NetLogo Uri Wilensky Center for Connected Learning and Computer-Based Modeling Northwestern Institute on Complex Systems Departments of Computer Science & Learning Sciences Northwestern University Agent-Based Modeling in NetLogo SFI MOOC, Summer 2016 1 History: Roman to Hindu-Arabic Europe – at the turn of the first millenium • Before widespread adoption of Hindu-Arabic, very few could do multiplication/division • Scientists recognized superiority immediately • But widespread adoption took a very long time • Was in surreptitious use, but not official 2 Restructurations Structurations -- the encoding of the knowledge in a domain as a function of the representational infrastructure used to express the knowledge Restructurations -- A change from one structuration of a domain to another resulting from a change in representational infrastructure --- Wilensky & Papert 2006;2010 What is important and hard for people today? Similar to numeracy importance for science but difficulties in understanding, today we need to make sense of complex systems yet we find it difficult. What are Complex Systems? • Systems with a large number of interacting parts, evolving over time • Decentralized decisions vs. centralized control • Emergent global patterns from local interactions and decisions • Examples: ecosystems, economies, immune systems, molecular systems, minds, stock market, democratic government... Emergent Phenomena • Structure (Rules) at Micro- level leads to pattern at Macro- level • Order without Design • No leader or orchestrator -
An Exploration of Artistic and Technological Symmetry
An Exploration of Artistic and Technological Symmetry Artemis Papert Abstract In this interview, biologist, artist, and shiatsu healer Artemis Papert describes how computational thinking can help people organize their thoughts in a more formal way. She discusses TurtleArt, a software that allows both children and adults to create two-dimensional static art images using geometry and coding as a medium. TurtleArt not only bridges the worlds of math and art, but is also easy to learn. She concludes by reading an excerpt from the article, “Teaching Children Thinking”— written in 1971 by her father Seymour Papert—as a still relevant starting point for where technology is heading. You’re known as an artist and a healer, can you tell us how your career unfolded and how these two areas of talent emerged? I’ve always liked drawing and painting since ever I can remember. I might have gone to art school had I been born in a different family, but I was born in a family of academics. So, it felt like academia was the thing to do. My mother worked with Jean Piaget and my father was a mathematician who also came to work with Jean Piaget because Piaget wanted to understand how children understand numbers. And he thought it would be a good thing to have mathematicians in his team—so that’s how my parents met and how I came along. I always wanted to become a biologist. Back then, I was young and naïve and wanted to save the Antarctica, and the Rain Forest … My career as a biologist didn’t quite evolve as I had hoped it would. -
Fostering Learning in the Networked World: the Cyberlearning Opportunity and Challenge
Inquiries or comments on this report may be directed to the National Science Foundation by email to: [email protected] “Any opinions, findings, conclusions and recommendations expressed in this report are those of the Task Force and do not necessarily reflect or represent the views of the National Science Foundation.” Fostering Learning in the Networked World: The Cyberlearning Opportunity and Challenge A 21st Century Agenda for the National Science Foundation1 Report of the NSF Task Force on Cyberlearning June 24, 2008 Christine L. Borgman (Chair), Hal Abelson, Lee Dirks, Roberta Johnson, Kenneth R. Koedinger, Marcia C. Linn, Clifford A. Lynch, Diana G. Oblinger, Roy D. Pea, Katie Salen, Marshall S. Smith, Alex Szalay 1 We would like to acknowledge and give special thanks for the continued support and advice from National Science Foundation staff Daniel Atkins, Cora Marrett, Diana Rhoten, Barbara Olds, and Jim Colby. Andrew Lau of the University of California at Los Angeles provided exceptional help and great spirit in making the distributed work of our Task Force possible. Katherine Lawrence encapsulated the Task Force’s work in a carefully crafted Executive Summary. Fostering Learning in the Networked World: The Cyberlearning Opportunity and Challenge A 21st Century Agenda for the National Science Foundation Science Foundation the National for A 21st Century Agenda Report of the NSF Task Force on Cyberlearning Table of Contents Executive Summary...............................................................................................................................................................................................................................5 -
A Critique of Abelson and Sussman Why Calculating Is Better Than
A critique of Abelson and Sussman - or - Why calculating is better than scheming Philip Wadler Programming Research Group 11 Keble Road Oxford, OX1 3QD Abelson and Sussman is taught [Abelson and Sussman 1985a, b]. Instead of emphasizing a particular programming language, they emphasize standard engineering techniques as they apply to programming. Still, their textbook is intimately tied to the Scheme dialect of Lisp. I believe that the same approach used in their text, if applied to a language such as KRC or Miranda, would result in an even better introduction to programming as an engineering discipline. My belief has strengthened as my experience in teaching with Scheme and with KRC has increased. - This paper contrasts teaching in Scheme to teaching in KRC and Miranda, particularly with reference to Abelson and Sussman's text. Scheme is a "~dly-scoped dialect of Lisp [Steele and Sussman 19781; languages in a similar style are T [Rees and Adams 19821 and Common Lisp [Steele 19821. KRC is a functional language in an equational style [Turner 19811; its successor is Miranda [Turner 1985k languages in a similar style are SASL [Turner 1976, Richards 19841 LML [Augustsson 19841, and Orwell [Wadler 1984bl. (Only readers who know that KRC stands for "Kent Recursive Calculator" will have understood the title of this There are four language features absent in Scheme and present in KRC/Miranda that are important: 1. Pattern-matching. 2. A syntax close to traditional mathematical notation. 3. A static type discipline and user-defined types. 4. Lazy evaluation. KRC and SASL do not have a type discipline, so point 3 applies only to Miranda, Philip Wadhr Why Calculating is Better than Scheming 2 b LML,and Orwell. -
The Computer As a Teaching Tool: Promising Practices. Conference Report (Cambridge, Massachusetts, July 12-13, 1984)
DOCUMENT RESUME ED 295 g'6 IR 013 322 AUTHOR McDonald, Joseph P.; And Others TITLE The Computer as a Teaching Tool: Promising Practices. Conference Report (Cambridge, Massachusetts, July 12-13, 1984). CR85-10. INSTITUTION Educational Technology Center, Cambridge, MA. SPONS AGENCY Education Collaborative for Greater Boston, Inc., Cambridge, Mass. PUB DATE Apr 85 NOTE 25p.; For a report of a related conference, see IR 013 326. PUB TYPE Collected Works - Conference Proceedings (021) -- Reports - Descriptive (141) EDRS PRICE MF01/PC01 Plus Postage. DESCRIPTORS *Computer Assisted Instruction; *Computer Literacy; Computer Simulation; Curriculum Development; Elementrry Secondary Education; *Language Arts; *Mathematics Instruction; Microcomputers; Professional Development; Research Needs; *Science Instruction; Teacher Education; Teacher Role IDENTIFIERS Reality ABSTRACT This report of a 1984 conference on the computer as a teaching tool provides summaries of presentations on the role of the computer in the teaching of science, mathematics, computer literacy, and language arts. Analyses of themes emerging from the conference are then presented under four headings: (1) The Computer and the Curriculum (the computer keeps learning connected to experience; the computer provides access to the underlying disciplines of subjects; the computer challenges the curricular status quo; and the computer aids implementation of the curriculum); (2) The Computer and Reality (computer-based models and simulations only imperfectly represent reality; a program may mask operations that students should experience to give depth and stability to their learning; and computers sometimes need to be used in conjunction with other, more concrete, experiences); (3) Perspectives on Teaching Practice (teaching is rooted in a teacher's own interests, need to understand, and social commitment; and teaching is, to a significant extent, a product of circumstance, not an entirely rational enterprise); and (4) Teachers' Professional Development (strategies and goals are needed for teacher training). -
A Simplified Introduction to Virus Propagation Using Maple's Turtle Graphics Package
E. Roanes-Lozano, C. Solano-Macías & E. Roanes-Macías.: A simplified introduction to virus propagation using Maple's Turtle Graphics package A simplified introduction to virus propagation using Maple's Turtle Graphics package Eugenio Roanes-Lozano Instituto de Matemática Interdisciplinar & Departamento de Didáctica de las Ciencias Experimentales, Sociales y Matemáticas Facultad de Educación, Universidad Complutense de Madrid, Spain Carmen Solano-Macías Departamento de Información y Comunicación Facultad de CC. de la Documentación y Comunicación, Universidad de Extremadura, Spain Eugenio Roanes-Macías Departamento de Álgebra, Universidad Complutense de Madrid, Spain [email protected] ; [email protected] ; [email protected] Partially funded by the research project PGC2018-096509-B-100 (Government of Spain) 1 E. Roanes-Lozano, C. Solano-Macías & E. Roanes-Macías.: A simplified introduction to virus propagation using Maple's Turtle Graphics package 1. INTRODUCTION: TURTLE GEOMETRY AND LOGO • Logo language: developed at the end of the ‘60s • Characterized by the use of Turtle Geometry (a.k.a. as Turtle Graphics). • Oriented to introduce kids to programming (Papert, 1980). • Basic movements of the turtle (graphic cursor): FD, BK RT, LT. • It is not based on a Cartesian Coordinate system. 2 E. Roanes-Lozano, C. Solano-Macías & E. Roanes-Macías.: A simplified introduction to virus propagation using Maple's Turtle Graphics package • Initially robots were used to plot the trail of the turtle. http://cyberneticzoo.com/cyberneticanimals/1969-the-logo-turtle-seymour-papert-marvin-minsky-et-al-american/ 3 E. Roanes-Lozano, C. Solano-Macías & E. Roanes-Macías.: A simplified introduction to virus propagation using Maple's Turtle Graphics package • IBM Logo / LCSI Logo (’80) 4 E. -
Down with School! up with Logoland!
NEW SCIENTIST REVIEW Down with School! Up with Logoland! The Children's Machine: Rethinking in the classroom, with mixed results. large and small, designed to implement his School in the Age of the Computer I was one of them. About ten years ago, ideas, and has received a wealth of feed by Seymour Papert, Basic Books, New York, I was part of a team that developed and back, much of it deeply discouraging. But HarperCollins in Britain, pp 241, £22·50 taught an introductory course in computer one can learn even more from "mistakes" science aimed at universirv students who than from a string of successes-that is a Daniel Dennett hated and feared computers but whose central tenet of Papert's vision of learning, parents, in many cases, had said "You must and he practices what he preaches. So this IN 1956, the mathematician John McCarthy learn about computers before you gradu sequel engagingly recounts what he has coined the term "artificial intelligence" ate." These students were seasoned veter learned, and especially the mistakes he for a new discipline that was emerging ans of what Paperr calls School-experts at made along the way. His own thinking from some of the more has undergone a transforma imaginative and playful tion; he is still an infectiously explorations of that new optimistic visionary, but a mind-tool, the computer. A wiser one. few years later he devel Logo has nowjoined forces oped a radically new sort of with Lego, the plastic build programming language, ing blocks, and a new wave Lisp, which became the of delectable settings for lingua franca of AI. -
Papert's Microworld and Geogebra: a Proposal to Improve Teaching Of
Creative Education, 2019, 10, 1525-1538 http://www.scirp.org/journal/ce ISSN Online: 2151-4771 ISSN Print: 2151-4755 Papert’s Microworld and Geogebra: A Proposal to Improve Teaching of Functions Carlos Vitor De Alencar Carvalho1,4, Lícia Giesta Ferreira De Medeiros2, Antonio Paulo Muccillo De Medeiros3, Ricardo Marinho Santos4 1State University Center of Western, Rio de Janeiro, RJ, Brazil 2CEFET/RJ, Valença, RJ, Brazil 3Rio de Janeiro Federal Institute (IFRJ), Pinheiral, RJ, Brazil 4Vassouras University, Vassouras, RJ, Brazil How to cite this paper: De Alencar Car- Abstract valho, C. V., De Medeiros, L. G. F., De Me- deiros, A. P. M., & Santos, R. M. (2019). This paper discusses how to improve teaching of Mathematics in Brazilian Papert’s Microworld and Geogebra: A Pro- schools, based on Seymour Papert’s Constructionism associated with Infor- posal to Improve Teaching of Functions. mation Technology tools. Specifically, this work introduces the construction- Creative Education, 10, 1525-1538. https://doi.org/10.4236/ce.2019.107111 ist microworld, a digital environment where students are able to build their knowledge interactively, in this case, using dynamic mathematics software Received: June 6, 2019 GeoGebra. Accepted: July 14, 2019 Published: July 17, 2019 Keywords Copyright © 2019 by author(s) and Microworld, GeoGebra, Seymour Papert, Information Technologies in Scientific Research Publishing Inc. Education This work is licensed under the Creative Commons Attribution International License (CC BY 4.0). http://creativecommons.org/licenses/by/4.0/ Open Access 1. Introduction This research’s main goal is to present a proposal to help Brazilian teachers im- prove their educational practices. -
KIMONO, a Descriptive Agent-Based Modelling Method for the Exploration of Complex Systems: an Application to Epidemiology
KIMONO, a descriptive agent-based modelling method for the exploration of complex systems: an application to epidemiology. Edouard Amouroux To cite this version: Edouard Amouroux. KIMONO, a descriptive agent-based modelling method for the exploration of complex systems: an application to epidemiology.. Modeling and Simulation. Université Pierre et Marie Curie - Paris VI, 2011. English. tel-00630779 HAL Id: tel-00630779 https://tel.archives-ouvertes.fr/tel-00630779 Submitted on 5 Dec 2011 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. THESE DE DOCTORAT DE L’UNIVERSITE PIERRE ET MARIE CURIE Spécialité: Informatique (Ecole doctorale: EDITE) Présentée par Edouard AMOUROUX Pour obtenir le grade de DOCTEUR de l’UNIVERSITÉ PIERRE ET MARIE CURIE Sujet de la thèse : KIMONO: une méthode de modélisation descriptive centrée agent pour l'explication des systèmes complexes, une application en épidémiologie soutenue le 30/09/2011 devant le jury composé de : M. Directeur de thèse: Alexis Drogoul, Directeur de Recherche, IRD - UMMISCO / IFI - MSI Rapporteurs: David -
Integrating Language Arts and Computational Thinking: A
Integrating Language Arts and Computational Thinking: A Reflection on the Importance of Gossip by Glen Bull, University of Virginia According to Cynthia Solomon, Seymour Papert went to Europe in the summer of 1966 and returned with the initial specifications for the computing language Logo (Personal Communication, 2018). Logo is notable as the first computing language designed specifically for children. Solomon and Papert collaborated with Wally Feurzeig to develop an initial implementation of the computing language, which they began testing with children in local schools the following year. At the time, Papert was codirector of the MIT Artificial Intelligence Laboratory. Artificial intelligence (AI) is the science of creating computer programs that can replicate the performance of humans. An important aspect of AI is interpretation of human language. Therefore, not surprisingly, an important aspect of Logo is its capability to process words and sentences. Feurzeig originated the name of the language, Logo, the Greek word for word. Papert summarized this work in Mindstorms: Children, Computers, and Powerful Ideas, published in 1980. Papert introduced the term “computational thinking” in Mindstorms. He also described the use of Logo by middle school students to generate “computer poetry.” The students created syntactic structures that generated sentences in the process of exploring the way in which language works. Background Like many others, I was influenced by the vision that Papert outlined in Mindstorms. Texas Instruments donated 10 TI 99/4 microcomputers with Logo that I used to offer an initial course, Teaching With Logo, at the University of Virginia in fall 1980. The TI microcomputer had a fraction of the power of today’s personal computers.