Ewolucja szkoły ku elastycznemu systemowi kształcenia M.M. Sysło Outreach to Prospective Informatics and Computer Engineering Students Maciej M. Sysło.

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Ewolucja szkoły ku elastycznemu systemowi kształcenia M.M. Sysło Outreach to Prospective Informatics and Computer Engineering Students Maciej M. Sysło University of Toruń, University of Wrocław,

Ewolucja szkoły ku elastycznemu systemowi kształcenia M.M. Sysło Plan outreach, ICT versus Informatics motivation – Computer Science in crisis? USA: initiatives STEP, NETP, NSF informatics education in Poland in last 45 years! outreach in Poland: national curriculum competitions project: Informatics + workshops for students and teachers (Toruń) new technology standards for teachers conclusions M.M. Syslo 2

Ewolucja szkoły ku elastycznemu systemowi kształcenia M.M. Sysło Outreach Outreach – the act of reaching out, beyond usual limits An effort by an organization or a group to connect its ideas and practice to the efforts of other organization, groups, specific audiences, or the general public Computer Science (informatics) outreach enlightens prospective students (and their schools) and the public about the importance of computer science knowledge and attractiveness of the computer related professions in the information society In particular, organization = university other organizations = schools M.M. Syslo 3

Ewolucja szkoły ku elastycznemu systemowi kształcenia M.M. Sysło Informatics (CS) versus ICT Informatics (CS) is concerned with designing and creating informatics ‘products’ and ‘tools’, such as: algorithms, programs, application software, systems, methods, theorems, computers, … ICT – applications of CS (computing) – concentrates on how to use and apply informatics and other information technology tools in working with information 4 M.M. Syslo

Ewolucja szkoły ku elastycznemu systemowi kształcenia M.M. Sysło Computer science (education) in crisis? Q: Is computer science in crisis? a dying discipline? A crisis in university computer science (in the US): the number of students enrolled in CS has fallen for several years: in 2007 dropped 49% from 2001/2002 impact on degree „production”: the number of bachelor’s degrees fell 43% between 2003/04 and 2006/07 On the other hand – there is still a demand for experts and specialists in computer use and applications Similar figures for UK In Poland: declining interests in high school informatics, in „matura” in informatics and in university CS and CS career 5 M.M. Syslo

Ewolucja szkoły ku elastycznemu systemowi kształcenia M.M. Sysło Computer science education in crisis some answers A: students have tested enough ICT in their upbringing and they want something different at Uni level the traditional curriculum in computing is unattractive to present-day students students (not only) do not distinguish between using and studying (computer tools) opposed to a vocational qualification, the mission of uni is to develop understanding, rather than skills The lack of adequate CS education in high schools 6 M.M. Syslo

Ewolucja szkoły ku elastycznemu systemowi kształcenia M.M. Sysło USA – STEM STEM – Science, Technology, Engineering, Mathematics: In 2006, George W. Bush announced the American Competitiveness Initiative, which called for … an increase in U.S. higher education graduates within STEM disciplines Barak Obama (Nov, 2009): several nationwide programs ACM: there is a tendency in STEM education to look at technology and computers as tools in support of education distinguish between the use of educational technology (ICT) to support learning and CS education as an academic discipline CS should be explicitly identified as a STEM disciplines M.M. Syslo 7

Ewolucja szkoły ku elastycznemu systemowi kształcenia M.M. Sysło USA – NETP National Education Technology Plan – March 2010 Five goals: learning assessment teaching infrastructure productivity Students: to use technology for personalized learning Teachers: to connect with networks to ensure their knowledge and methods are up to date 112 pages: CS mentioned only once – students have no opportunity to learn in any depth about technology M.M. Syslo 8

Ewolucja szkoły ku elastycznemu systemowi kształcenia M.M. Sysło USA – NSF initiative CSTA: CS is on the decline in high schools, in 1100 schools: pre-AP CS classes: 65% in 2009 – 73% in 2007 – 78% in 2005 AP CS classes: 27% in 2009 – 32% in 2007 – 40% in 2005 NSF: Transforming High School Computing (2010): CS/ Project: 3-course high school computing curriculum: Introductory (Pre-AP) Course – designed for all students „Gold Standard” New AP Course – will show the „magic” of computing existing AP CS A Course – programming-centric course New curriculum will be taught: by newly prepared teachers in classrooms across the US M.M. Syslo 9

Ewolucja szkoły ku elastycznemu systemowi kształcenia M.M. Sysło Poland History: B.PC. computers in education 1965: First regular classes in two high schools in Wrocław Subject: Numerical methods and programming Content: polynomials, root finding, integration, interpolation, errors Programming: assembler, autocode Mark III, Algol Computer: Elliott 803 (UK) CS 10 M.M. Syslo

Ewolucja szkoły ku elastycznemu systemowi kształcenia M.M. Sysło History: 1985 – 1995 computers in education 1985 … The time of Logo In fact, it was misunderstanding of Papert’s idea: Logo was used as a programming language instead of a learning environment 1988 … Pascal era in schools … Content: numerical calculations + combinatorics, complexity, data base, text editing, spreadsheet calculations Programming: Pascal, Turbo Pascal, …, Delphi Computers: 8-bit micro, PC, … CS 11 M.M. Syslo

Ewolucja szkoły ku elastycznemu systemowi kształcenia M.M. Sysło History: 1965 – … computers in education 1965 … 1985 … Informatics curricula and teaching – computer science – there was no information technology beginning of 90’ moves in education: computer science → information technology constructing computer solutions → using ready-made tools computer science for some students → information technology for all 12 M.M. Syslo

Ewolucja szkoły ku elastycznemu systemowi kształcenia M.M. Sysło The Education System in Poland 1st stage Pre-school year nd stage Primary education Secondary education Upper – high school Lower – gimnazjum, middle school Tertiary education – University ICT for all Integrated education ICT for all with elements of algorithmics ICT – for all students Informatics – elective Informatics education 13 M.M. Syslo

Ewolucja szkoły ku elastycznemu systemowi kształcenia M.M. Sysło Poland – outreach activities, 1 New National Curriculum (2008): Primary education (1-6 grades), all students  computer lessons (1 hour/week) Middle school (Gimnazjum, 7-9 grades), all students  informatics with elements of algorithmics and Web 2.0 High School (10-12 grades)  informatics (1 hour/week for a year) for all students  informatics (3 hours/week for 2 years) – elective  matura (final exam) – mainly on solving algorithmic problems M.M. Syslo 14 Informatics as a mandatory subject

Ewolucja szkoły ku elastycznemu systemowi kształcenia M.M. Sysło Informatics education approach 60’ – 90’: algorithmic thinking when creating programs, programming 90’ – ICT era: step back: basic computer literacy – the capability to use today’s technology beginning of 2000: fluency with ICT – the capability to use new technology as it evolves J. Wing, 2006: computational thinking – competencies built on the power and limits of computing: 3R + computational thinking 15 M.M. Syslo

Ewolucja szkoły ku elastycznemu systemowi kształcenia M.M. Sysło Computational thinking in informatics for all Includes a range of mental tools: reduction and decomposition of complex problems approximation, when exact solution is impossible recursion: inductive thinking representation and modeling heuristic reasoning The influence on other disciplines – in mathematics: the purpose of computing is insight not numbers [R.W.Hemming] Applied to other disciplines 16 M.M. Syslo

Ewolucja szkoły ku elastycznemu systemowi kształcenia M.M. Sysło Computational thinking Implementation General approach: elements of style in using ICT, supported by program options algorithmic (computer) problem solving methodology applied to any problem to be solved with the help of a computer. 17 M.M. Syslo

Ewolucja szkoły ku elastycznemu systemowi kształcenia M.M. Sysło Computational thinking old notions, extended meaning Extended meaning of two notions: a problem – in a wider context, not necessarily algorithmic – occurs when one has to provide a solution based on what one has learned but is not told how to do it; programming – giving a computer something to do, since it only runs programs; hence, we have the following ‘programs’: spreadsheet, data base, presentation, website, documents, … ; a program – not necessarily an effect of using a programming language 18 M.M. Syslo

Ewolucja szkoły ku elastycznemu systemowi kształcenia M.M. Sysło Computer science / Information technology creating computer products Methodology of generating good computer solutions (from various areas): correct, readable, efficient, consists of 6 stages (ex.: bicycle club website): problem situation (collecting information, goals) specification (content and links) design (which computer application, plan) coding (construction of a website) testing (testing the website) presentation ( to other students, a teacher) 19 M.M. Syslo

Ewolucja szkoły ku elastycznemu systemowi kształcenia M.M. Sysło Poland – outreach activities, 2 Competitions: nationwide and international, local  Olympiad in Informatics (mainly for high schools) – national and international level  Olympiad in Informatics for middle schools – national level  Beaver (Kangaroo in informatics) – students in 2009:  logical and algorithmic thinking  different subjects (topics) used in tasks  Our students are very successful in IOI – 5 students are among the top 30 performers in the history – it is mainly due to individual supervising of talented students M.M. Syslo 20

Ewolucja szkoły ku elastycznemu systemowi kształcenia M.M. Sysło Poland – outreach activities, 3 Informatics + Project, financed by EU Project in 5 regions, students from high schools, for 3 years  lecture (2 hours) and computer lab (3 hours)  lectures in schools (2 hours)  workshops (24 hours)  workshops for gifted students (24 hours)  teacher training Educational Platform – Fronter: Educational Platform – Fronter  tests and evaluation; educational materials, students’ works. Polska Wszechnica Informatyczna – Polska Wszechnica Informatyczna  60 recorded lectures – open to all students and teachers in Poland M.M. Syslo 21

Ewolucja szkoły ku elastycznemu systemowi kształcenia M.M. Sysło Poland – outreach activities, 3 M.M. Syslo 22 Algorithmics and Programming: Searching and sorting – the power of order, Simple computer calculations – can all be computed, Algorithmic techniques, Shortest paths and trees, Data structures and their use (advanced), Advanced algorithms, Matura (final examination) in informatics. Data Base: Data base – fundamentals, SQL language (basic and advanced level), XML documents in data base, Technology ADO.Net, Data mining, T-SQL language. Graphics, Multimedia, Internet techniques: Graphics editor – GIMP, Working with multimedia, Searching for multimedia in Internet, Creating dynamic Internet services, Making movies. Computer Networks: Computer networks – basic principles of construction and operating, Networks as communication media, Network security, Wireless networks, LAN and WAN. New Tendencies in Informatics and its Applications: Algorithms of Internet, Can computers make business, Concurrency in informatics and in our life, Data exploration, JavaScript, Is P = NP or how to win million dollars in Sudoku, Enigma and contemporary cryptography, Past and the future of informatics – elements of history of informatics, Logic and computers, Introduction to neural networks, Medical informatics.

Ewolucja szkoły ku elastycznemu systemowi kształcenia M.M. Sysło Poland – outreach activities, 3 M.M. Syslo 23 Question Yes definitely YesNo definitely No answer Are you interested in studying informatics in the future? 33% 24%10%0% Do you think that participation in the project will influence your future decision about your career? 22%42%26%9%1% Has the course improved your knowledge and skills in informatics? 41%47%9%3%0% Has the course encouraged you to develop your knowledge and skills in informatics by yourself? 26%49%22%3%0% Have the materials been useful in the course? 55%36%7%2%0%

Ewolucja szkoły ku elastycznemu systemowi kształcenia M.M. Sysło Poland – outreach activities, 3 M.M. Syslo 24 QuestionYesNoNA After taking part in the project, have you improved your grades in informatics? 46%33%21% After taking part in the project, have you improved your grades in information technology? 46%31%23% Has your choice of informatics related study been influence by the project? 62%38% –

Ewolucja szkoły ku elastycznemu systemowi kształcenia M.M. Sysło Poland – outreach activities, 4 Workshops for students and teachers – University of Toruń Regular workshops for students – twice a month a new material on programming; e-learning platform OLAT Classes in the middle and in the high schools run by the University – AP courses taught at the University Lectures at the University for students and teachers Seminars and workshops for teachers from schools, topics:  new curriculum  recursion  text algorithms  networks  next year: implementation of the national curriculum M.M. Syslo 25

Ewolucja szkoły ku elastycznemu systemowi kształcenia M.M. Sysło Poland – outreach activities, 5 Educational Technology Standards for Teachers, as the most important „technology”  guide for teachers  all teachers  teachers of informatics courses  will be used to define „pedagogical ECDL” – certificates based on activities in classroom  standards used also for designing courses for teachers – future teachers, in-service courses M.M. Syslo 26

Ewolucja szkoły ku elastycznemu systemowi kształcenia M.M. Sysło Computer science/Information technology Conclusions We presented a number of activities in Poland which could be considered as the outreach projects run nationwide and locally We expect that these activities will increase motivation and preparation of school students for their future decisions to study CS or related fields and become a computer specialists Outcomes of these projects and expectations will be the subject of our research in the near future 27 M.M. Syslo

World Conference on Computers in Education Toruń, July 2 – 5, M.M. Syslo