"Development of Western science is based on two great achievements: the invention of the formal logical system (in Euclidean geometry) by the Greek philosophers, and the discovery of the possibility to find out causal relationships by systematic experiment (during Renaissance)." Albert Einstein (1953)
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Teaching vs. Learning: "Este mult mai greu să-i înveţi pe studenţi cum să înveţe decât să le predai." Henry Hallett Dale (1875-1968), Premiul Nobel in Psihologie si Medicina (1936) "Teaching is more than imparting knowledge, it is inspiring change. Learning is more than absorbing facts, it is acquiring understanding." William Arthur Ward
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| Computer-Collaboration-Learning: Figure 2 by Johann W. Sarmiento-Klapper, "Sustaining Collaborative Knowledge Building: Continuity in Virtual Math Teams", A Thesis of Ph.D. , Drexel University, 2009 (download-pdf, Link) |
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Build your Personalized Training Program
Source: http://www.lumosity.com/app/v4/personalization CONNECTING EDUCATION & TECHNOLOGY:http://edudemic.com |
Learning 2.0 - The Impact of Social Media on Learning in Europe, Authors: Christine Redecker, Kirsti Ala-Mutka and Yves Punie, European Commission, Joint Research Centre Institute for Prospective Technological Studies (Spain), JRC Technical Notes 56958, 2010
IMAGINATION: “Imagination is everything. Imagination is more important than knowledge. For knowledge is limited to all we now know and understand, while imagination embraces the entire world, and all there ever will be to know and understand.“(Albert Einstein)
WISDOM: "Wisdom is the daughter of experience." (Leonardo da Vinci)
WISDOM & DEFINITION: "The beginning of wisdom is the definition of terms." (Socrates)
SUCCESSES: "Learning from our successes not our failures" (2009, MIT- E. Miller, M. Histen, A. Pasupath)
THINKING: "All what is correct thinking is either mathematics or feasible to be transposed in a mathematical model." (Grigore C. Moisil)
LEARNING & KNOWLEDGE: ”Learning is evolution of knowledge over time” (Roger E. Bohn)
LEARNING: "Human development is accomplished by knowledge and learning." (ICVL 2006, Vlada and Ţugui)
POWER & LEARNING:“Learning is power” (CNIV 2007, M. Vlada and R. Jugureanu)
TRUTH: “You can not teach someone everything. You can only help him discover the truth in himself." (Galileo Galilei)
TRUTH & UNDERSTAND: "All truths are easy to understand once they are discovered; the point is to discover them." (Galileo Galilei)
SCIENCES: "Sciences are models and virtual representations of knowledge." (CNIV 2008, M. Vlada)
PICTURE: "A picture is worth ten thousand as the words" (Chinese proverb)
CHARACTERS: “The book of nature is written in the characters of geometry". (Galileo Galilei)
LANGUAGES: "Natural environments are ruled by languages. Computer Science use artificial languages. Languages exist therefore, not for communication purposes alone, but particullarily for knowledge and processing.” (eLSE 2005, M. Vlada)
IMAGINE: “And to imagine a language means to imagine a form of life.” (Ludwig Wittgenstein , Philosophical Investigations, 1953)
NATURE & MATHEMATICS: "Laws of Nature are written in the language of mathematics" (Galileo Galilei)
INFORMATICS: „The informatics/computer science re-establishes not only the unity between the pure and the applied mathematical sciences, the concrete technique and the concrete mathematics, but also that between the natural sciences, the human being and the society. It restores the concepts of the abstract and the formal and makes peace between arts and science not only in the scientist' conscience, but in their philosophy as well.” (Grigore C. Moisil)
MATHEMATICS: “If Mathematics was not "nothing would have been" no wheel and no computer, no press and no phone, no Computer Science or Cybernetics. But to all these entities materials invented by man, Mathematics helps man to think about life, create and imagine, to love nature and his fellows, to be emotional and brave, to be consistent and ordinary, to dream and be happy.” (January 31, 2010, M. Vlada)
TEACHER: “A key role in promoting discipline among young people it is the teacher. It must fulfill its mission of teaching and teacher pedagogue using methods most appropriate discipline discovery by studying as many students. Teacher must his students not seeing the "good students" and "weak students", but "students" have to be guided to discover the knowledge and skills are encouraged to go through “step by step" learning and discovering the secrets of scientific knowledge.” (February 1, 2010, M.Vlada)
TECHNOLOGY & MAGIC: “Any sufficiently advanced technology is indistinguishable from magic.” (Arthur C. Clarke)
NEORONS & STARS: “1011 = The number of neurons in the Human Brain = The number of stars in the Galaxy”. (2010, Source: The Picower Institute for Learning and Memory at Massachusetts Institute of Technology (MIT), Cambridge, USA , http://web.mit.edu/picow)
Ref-1.: http://mvlada.blogspot.com/ Ref-2.: M. Vlada, CNIV 2003:
Definitii-CNIV2003-vlada
Gandire algoritmica
Ref.: http://www.c2workshop.com/ (“Learning is a process. And, an intricate one at that!” ); C2 Workshop specializes in the design and development of custom e-learning solutions for corporates and educational institutions.
Ref.: Prof. univ. dr. IOAN NEACŞU, ÎNVĂŢAREA ACADEMICĂ INDEPENDENTĂ. GHID METODOLOGIC, Editura Universităţii din Bucureşti, 2006 (Online, pdf), UNIVERSITATEA DIN BUCUREŞTI, FACULTATEA DE PSIHOLOGIE ŞI ŞTIINŢELE EDUCAŢIEI
"Societăţile informaţionale nu pot face abstracţie de ceea ce se întâmplă în zona elementelor de bază ce acţionează în configurarea pieţei forţei de muncă: formare, inovare, comunicare, fluxuri şi reţele de informare virtuală, indicatori de performanţă devenită informanţă." (Y. F. Le Coadic, 2004). Yves-F. Le Coadic, Stiinta informarii, Ed. SIGMA, 2004, ISBN: 973-649-155-2 (Traducător: Elena Tiziman)
Complexitatea procesului de invatare
De-a lungul vremii, in toate domeniile stiintifice se schimba teoriile, metodele si tehnicile de investigare, de aceea dinamica cunoasterii umane influenteaza dezvoltarea generala a societatii umane. Pentru a obtine evolutie si eficienta in viata sa, omul trebuie sa se adapteze continuu la aceste schimbari ale cunoasterii. In domeniul educatiei, si in special al invatarii si perfectionarii, aparitia de noi tehnologii ale informatiei si comunicarii (TIC), imbunatatirea teoriilor pedagogice si psihologice, obliga pe elevi/studenti, profesori, parinti si pe specialisti, sa se adapteze la aceste schimbari.
Ce fac elevii si studentii? Ce fac profesorii si parintii? Ce fac specialistii? Ce fac guvernele tarilor?
Models and Solutions: SWWRocBot
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An Example: SWWRocBot, A Unique Learning Environment by Nick Clark (Information Science & Learning Technologies, Robotics Coach, School Without Walls, U.S.A.); SWWRocBot is a site laying out the Challenges, Solutions and Results that are the foundations of a unique learning environment.This learning environment is based on the work of Nick Clark, author of "The Geometry of Learning and the Architecture of Knowledge". It will be a multi-disciplinary, interactive and immersive experience (See animation above) with positive outcomes for the following stake holders:Students; Parents; Teachers; Administrators; Mentors; The School (School Without Walls); The City School System; Community Business Partners; Community Organization Partners; Individuals whose talents are required for the success of the program. read more: http://mvlada.blogspot.com/ |
The Need for Clear Definitions
Alfred V. Aho (Lawrence Gussman Professor in the Computer Science Department at Columbia University).
Ref.: http://ubiquity.acm.org/article.cfm?id=1922682
Melanie Mitchell (Professor of Computer Science at Portland State University):
Ref.: Ubiquity, Volume 2011, Number April (2011), Pages 1-6, http://ubiquity.acm.org/article.cfm?id=1967047
"One of the most important examples of prediction is the phenomenon of generalization in learning. Learning is formalized as finding a model that explains or describes a set of observations, but again this is useful only because we expect this model will continue to be valid. In the language of learning theory (see, for example, Vapnik, 1998), an animal can gain selective advantage not from its performance on the training data but only from its performance at generalization. Generalizing—and not “overfitting” the training data—is precisely the problemof isolating those features of the data that have predictive value (see also Bialek and Tishby). Furthermore, we know that the success of generalization hinges on controlling the complexity of the models that we are willing to consider as possibilities.”
Predictability, Complexity, and Learning, Neural Computation 13, 2409–2463 (2001) (Articles Communicated by Jean-Pierre Nadal) by William Bialek (NEC Research Institute, Princeton, U.S.A.), Ilya Nemenman (NEC Research Institute, Princeton, New Jersey, U.S.A., and Department of Physics, Princeton University, Princeton, U.S.A.), Naftali Tishby (NEC Research Institute, Princeton, U.S.A., and School of Computer Science and Engineering and Center for Neural Computation, Hebrew University, Jerusalem, Israel)
Ref.: http://www.princeton.edu/~wbialek/our_papers/bnt_01a.pdf
Book - Handling complexity in learning environments: theory and research
By Jan Elen, Richard Edward Clark, Joost Lowyck, European Association for Research on Learning and Instruction, 2006, Elsevier Ltd.
What do we mean when we say that "learning environments are increasingly complex"? What do we know about the cognitive processing that occurs during complex learning? How can we provide effective instructional support for students who must learn and apply complex knowledge? These questions, and related issues, have fascinated educators and educational researchers for many years and are they are the focus of this book.
Ref.: http://books.google.com/
“Learning is therefore essential for stakeholders to develop their ability to deal effectively with new situations and to prepare for change and surprise.” Örjan Bodin ( Adaptive governance, networks and learning)
Ref.: http://www.stockholmresilience.org/2218.html
Halldén, O., Lundholm C. (2009). 25-30 August. Conceptual Change and the Complexity of Learning. Threshold Questions, Meaning making and Contextuality. Paper presented at the 13th conference European Association for Research on Learning and Instruction, Amsterdam, Holland.
Complexity Extended: IT Projects in EducationSource: Stefan Morcov, "Complex IT Projects in Education: The Challenge", ICVL 2011, Editura Universitatii din Bucuresti Stefan Morcov is a computer science engineer – Politehnica University Bucharest; has an Executive MBA diploma from Tiffin University- Ohio and the University of Bucharest and specialized in software engineering, project and product management. He has 10 years of experience in the setup and management of complex integrated projects in education in Europe, Africa and Asia. |
Source: Institute for Learning, University of Pittsburgh - http://www.instituteforlearning.org/
The Institute for Learning at the University of Pittsburgh was founded by Lauren Resnick in 1995.
"Research in education demonstrates that, by working hard, virtually all students are capable of high achievement. These findings have caused educators to recognize the primacy of effort, rather than following ingrained assumptions about innate aptitude. Effort-based education research has started to demonstrate that properly focused student efforts not only yield high achievement for all students, but can actually create ability. People can become smart by working hard at the right kinds of learning tasks." Institute for Learning (IFL).
Principles of Learning (http://ifl.lrdc.pitt.edu/ifl/):- Organizing for Effort
- Clear Expectations
- Fair and Credible Evaluations
- Recognition of Accomplishment
- Academic Rigor in a Thinking Curriculum
- Accountable Talk®
- Socializing Intelligence
- Self-management of Learning
Ref.: http://ifl.lrdc.pitt.edu/ifl/index.php/resources/principles_of_learning/
Source: Kenneth R. Koedinger Albert T. Corbett Charles Perfetti, The Knowledge-Learning-Instruction (KLI) Framework: Toward Bridging the Science-Practice Chasm to Enhance Robust Student Learning, 2010 (Human-Computer Interaction Institute School of Computer Science, Carnegie Mellon University Pittsburgh)
- http://www.learnlab.org/documents/KLI-Framework-Tech-Report.pdf (.pdf): This work is supported by the National Science Foundation under grant SBE0836012 and the Pittsburgh Science of Learning Center.
Learning Events, Instructional Events, Assessment Events
"Central to analysis with the KLI framework is a set of observable and unobservable events: learning events, instructional events, and assessment events, which decompose the temporal progression of learning. Figure 1 represents the relationships among the three events. Instructional and assessment events are observable changes to the instructional environment controlled by instructional designer or instructor. Instructional events are intended to produce learning (they evoke learning events)."
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Figure 1. Understanding learning at the event level: Knowledge is acquired or modified during unobservable learning events inside students’ minds. These learning events are influenced by instructional events, in which the student’s learning environment is modified, and assessment events, in which student knowledge is inferred from performance either at the time of the event or later. |
Ref.: http://www.fluency21.com
Literacy is NOT Enough: 21st Century Fluencies for the Digital Age
Powerful technologies and information systems have caused facts to become obsolete faster, and knowledge built on these facts to become less durable.
Literacy is NOT Enough: The New Learning Process
The New Learning Process covers a fundamental shift in the basic paradigm of teaching that is required to prepare digital students for 21st century life.
What do we do with all this information?
Our society has been irreversibly affected by a new phenomenon in InfoWhelm - an unparalleled access to a wealth of online information, never before seen or heard of. Learning has truly become a lifelong pursuit, and it can happen anytime and anywhere in our Information age. But how do we determine good from the bad, interpret right from wrong, and distinguish complete, accurate, and usable data from a sea of irrelevance and digital inundation? The skills to help us best understand and make use of the wealth of knowledge at our fingertips is essential to life and success both in the classrooms and workforces of the 21st century
Ref.: http://www.fluency21.com
http://www.committedsardine.com/presentations_LNE.cfm
http://www.youtube.com/v/7ECAVxbfsfc?f=videos&app=youtube_gdata
e-Learning / Digital Education- Iuliana Dobre, referat de doctorat, 2010, STUDIU CRITIC AL ACTUALELOR SISTEME DE E-LEARNING | read more: http://www.racai.ro/Referatul1-IulianaDobre.pdf (.pdf)
- http://www.elearning.ro/instruireasistatadecalculator.php
Radu Jugureanu, PROJECT BASED LEARNING ON MULTI -TOUCH SYSTEMS, In the 6th International Scientific Conference eLearning and Software for Education Conference, Advanced Distributed Learning Department - UNAP, 2010 (
Multi-Touch)
Ref.: http://www.intime.uni.edu/, University Northern Iowa, USA | Bloom's Revised Taxonomy - (LINK-1, LINK-2) [Remembering, Understanding, Applying, Analyzing, Evaluating, Creating]
"Learning is a treasure that will follow its owner everywhere." (Chinese Proverb)
Societatea cognitivă "Cunoaşterea nu mai este formatoare, nu mai construieşte caracterul individului, ci se produce şi se consumă ca un bun. Ea construieşte ceea ce denumim azi societatea cognitivă. Societatea cognitivă este, în acelaşi timp, o societate de tip individualizat. O idee majoră asociată utilizării TIC este chiar aceea a pedagogiei individualizării, întrucât prin introducerea TIC în educaţie vorbim, de fapt, despre instituirea unei noi logici culturale. Profesionalizarea cadrelor didactice este un decupaj al activităţii sociale şi creează un spaţiu rezervat exercitării competenţelor specializate, inclusiv al celor digitale. Cunoaşterea profesională capătă astfel un caracter şi o dimensiune interactivă ce desemnează existenţa unui sistem de acţiune caracteristic practicii profesionale în general."
Cultura şcolii: "Tehnologia pentru educaţie nu presupune doar redefinirea unor competenţe prin strategii instrucţionale aplicative şi materiale-suport. Ea apare ca un fenomen de civilizare şi presupune construcţia de noi identităţi şi comunităţi în interiorul şcolii. Vorbim despre un fenomen social ale cărei caracterstici, dimensiuni şi dinamici corespund viziunii societăţii globale. Cultura şcolii este un concept relativ nou ce reflectă sistemul de cosensuri culturale sau ansamblul integrat de valori ce aparţin cadrelor didactice, elevilor, şcolii ca entitate socială. "
Lect. dr. Silvia Făt, Universitatea din Bucureşti (CNIV 2012)
"Professionalism in the Education System Today" by Olimpius Istrate and Simona Velea, ICVL 2011
The paper tries to reveal some of these aspects of the continuous professional development in the actual context, being centred on the curriculum habilitation and on the added value brought by the the ICTs, as the up-front elements of the education practitioners’ development path.
What is Computational Thinking?
1. Logical Thinking
2. Algorithmic Thinking
3. Efficient Solutions
4. Scientific Thinking
5. Innovative Thinking
“So what is Computational Thinking? Well it is a collection of diverse skills to do with problem solving that result from studying the nature of computation. It includes some obviously important skills that most subjects help develop, like creativity, ability to explain and team work. It also consists of some very specific problem solving skills such as the ability to think logically, algorithmically and recursively. Computer Science is unique in the way it brings all these diverse skills together.” Source: http://www.cs4fn.org/computationalthinking/
Note: cs4fn was created and is written and edited by Paul Curzon, Peter McOwan and Jonathan Black of the School of Electronic Engineering and Computer Science of Queen Mary, University of London with the aim of sharing our passion about all things to do with Computer Science.
One of the exciting things about learning Computer science is that you learn a new and fundamental way of thinking and problem solving; a way of thinking that is critical in the 21st Century. It is called "Computational Thinking" and the idea that this is one of the big advantages of studying computer science, whatever your ultimate career, is causing a big stir. Some are even claiming it should be added to reading, writing and arithmetic as a core ability that every person should learn. http://www.cs4fn.org/computationalthinking/
Ref:
http://www.cs4fn.org/computationalthinking/
http://googleresearch.blogspot.com/2010/10/exploring-computational-thinking.html
http://www.google.com/edu/computational-thinking/resources.html#ct
"We consider computational thinking to be the thought processes involved in formulating problems so their solutions can be represented as computational steps and algorithms. An important part of this process is finding appropriate models of computation with which to formulate the problem and derive its solutions. A familiar example would be the use of finite automata to solve string pattern matching problems. A less familiar example might be the quantum circuits and order finding formulation that Peter Schor used to devise an integer-factoring algorithm that runs in polynomial time on a quantum computer. Associated with the basic models of computation in computer science is a wealth of well-known algorithm-design and problem-solving techniques that can be used to solve common problems arising in computing".
Alfred V. Aho (Lawrence Gussman Professor in the Computer Science Department at Columbia University).
Ref.: http://ubiquity.acm.org/article.cfm?id=1922682
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The relationship between Learning, Knowledge and Development (Vlada 2008, CNIV) |
Învăţarea este un spectacol
"Învăţarea oferă un spectacol grandios, cu scenarii, personaje, roluri, măşti şi conflicte. În această carte, ne preocupă cu deosebire scenariul relaţiei dintre profesor şi elev, deocamdată de natură predominant imperativă. Argumentăm necesitatea ca imperativul să cedeze locul interogativului. ... Elementul istoric, povestea, naraţiunea au o funcţie explicativă în manualul şcolar. Absenţa lor, în special din manualele de matematică, fizică, chimie, biologie, informatică, face dificilă înţelegerea şi reduce atractivitatea celor prezentate. ... Fiecare oră de clasă are un potenţial spectacular care trebuie valorificat. Fiecare operă, fiecare concept, fiecare personalitate, fiecare problemă au acest potenţial spectacular. Scenariul orelor de clasă trebuie schimbat. Esenţialul: să asimilezi moduri de gândire cât mai variate. ... Elevul trebuie să fie învăţat şi stimulat să înventeze ... Învăţare adevarată nu există fără bucurie." Solomon Marcu
Amintiri despre Profesorul Solomon Marcus
"19 februarie 1972 Vlada Marin, Constanţa” este un text pe care l-am scris pe pagina de gardă a volumului I, ediţia a IV-a, “Analiză Matematică”, autori: acad. M. Nicolescu, N. Dinculeanu, S. Marcus. Mai jos, stă scris :”A avea ce să spui, a şti să asculţi, nu cumva asta înseamnă pricepere?”, Grigore C. Moisil (10 ian. 1906 - 21 mai 1973). Aceste cuvinte ale academicianului profesor Grigore Moisil le-am auzit cu ocazia festivităţii de premiere la etapa finală a Olimpiadei de Matematică, desfaşurată în anul 1971 la liceul “Mihai Viteazu” Bucureşti. Volumul apărut în anul 1971 la Ed. Didactică şi Pedagogică Bucureşti, conţine 783 de pagini şi este considerat în România o carte fundamentală din domeniul analizei matematice. Elev fiind la Liceul Energetic din Constanţa, am aflat de această carte din Gazeta Matematică la care colaboram cu probleme rezolvate şi probleme propuse. Despre Gazeta Matematică am aflat în anul 1969, de la profesorul meu de matematică Andrei Gheorghe, ce a avut un rol esenţial în orientarea mea către matematică şi informatică. Era în februarie 1972, când am citit anunţul. Am colindat toate librăriile din Constanţa, dar nu am găsit cartea, aceasta se epuizase. După câtva timp m-am bucurat de această carte deoarece fratele meu aflat la o Şcoala în oraşul Galaţi, mi-a cumparat-o din Galaţi.
Volumul amintit mi-a consolidat pasiunea pentru matematică, în special pentru analiza matematică. În acelaşi timp eram fascinat de personalitatea profesorului Grigore Moisil pe care îl ascultam la televizor, sau căruia îi citeam scrierile din “Contemporanul”. După doi ani aveam bucuria să fiu student la Facultatea de Matematică din Bucureşti, specializarea informatică, şi chiar surpriza să-l am profesor pe domnul Solomon Marcus. În acea vreme cursurile erau “grele”, dar frumoase. Astăzi le spun propriilor mei studenţi că în cadrul unui curs de analiză matematică profesorul Solomon Marcus ne-a explicat că “la facultate în primul rând se învaţă cum trebuie să înveţi matematică, cum trebuie să gândeşti şi ce trebuie să studiezi, în al doilea rând se învaţă cum să foloseşti revistele şi cărţile din biblioteca facultăţii, şi în al treilea rând se învaţă să ai viziune, să imaginezi şi să creezi”. Atunci, pe moment nu am înţeles pe deplin expresia “se învaţă cum trebuie să înveţi”. După mai mulţi ani am înţeles cu adevărat ce voia să ne explice profesorul Solomon Marcus.
Cursurile de analiză matematică erau adevarate momente de spectacol matematic, ce realizau divese analogii şi comparaţii între diverse gândiri şi teorii, între construcţii şi reconstrucţii, între demonstraţii şi argumentaţii, între metode şi calcule. Mai târziu i-am urmărit mereu opiniile despre Matematică şi m-am bucurat că am avut posibilitatea în anii de studenţie şi după aceea să discut personal cu domnul profesor diverse aspecte ce m-au preocupat din punct de vedere profesional.
Ref.
M. Vlada, "Profesorul Solomon Marcus alături de Promoţia 1978 – Informatică" in Întâlniri cu / Meetings with SOLOMON MARCUS (Coordonatori: Lavinia Spandonide şi Gheorghe Păun), Editura Spandugino, 2010, pag. 1393-1398
Grigore C. Moisil: Primul român care a primit (post-mortem) Computer Pioneer Award of IEEE Computer Society (IEEE – 1996; www.ieee.org)
| Profesorul Gr. C. Moisil a avut contribuţii remarcabile la dezvoltarea informaticii în România şi la formarea primelor generaţii de informaticieni; deschizător de drumuri cu contribuţii inovatoare în matematică, informatică, automatică şi cibernetică;
Ref.: http://www.cniv.ro/2006/centenar-moisil/ - "10 ianuarie 1906, sa nu-l uitam pe Gr. C. Moisil", http://mvlada.blogspot.com/ |
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S-a preocupat ca în anul 1969, Centrul de calcul al Universităţii din Bucureşti să primească un calculator american IBM 360/30 (în acea vreme , după 4 ani de la apariţie, acesta costa 500.000 $). Cu acest calculator s-au instruit multe generaţii de studenţii (până în anul 1975, când a apărut calculatorul românesc Felix C-256). Sub conducerea lui Gr. C. Moisil, Centrul de Calcul al Universităţii din Bucureşti a organizat cursuri, cicluri de lecţii şi conferinţe pentru matematicieni, ingineri şi economişti, iar ulterior pentru istorici, lingvişti, arheologi, artişti plastici, muzicieni. Prin apariţia calculatorului, şi-a dat seama de aplicaţiile matematicii în economie, în ştiinţele umaniste, în istorie, arhehologie, muzică, în grafică, în medicină şi biologie. Entuziasmul din acei ani privind utilizarea calculatorului în multe domenii de activitate, s-a regăsit după anul 1990 când au apărut şi s-au dezvoltat tehnologiile informaţiei şi comunicaţiei şi au apărut sistemul Internet şi tehnologiile Web.
"În aceasta perioada trebuie sa menţionăm unele contribuţii importante în universităţi, pe domeniul informaticii. De exemplu, la Universitatea din Bucureşti în anul 1962, academicianul Gr. C. Moisil, unul dintre cei mai importanţi propovaduitori al informaticii, creatorul scolii de teoria algebrică a mecanismelor automate, înfiinţează în acest an primul Centru de Calcul din ţară, care are în dotare un calculator IBM-360." Gr. Moldovan
- M. Vlada, "Începuturile informaticii româneşti", http://mvlada.blogspot.com/
- Gr. Moldovan, "Centrul de Calcul al Universităţii Babeş-Bolyai si scoala de informatica din Cluj-Napoca", http://cs.ubbcluj.ro/~moldovan/ (pdf)
Pagină actualizată la 31 Decembrie 2012.