Identify key terms definitions by EUN Partnership aisbl

Graça Delicado, Portugal

gdelicado — 2022-11-07 11:17:41 UTC

Artificial intelligence (AI) systems are software (and possibly also hardware) systems designed by humans that, given a complex goal, act in the physical or digital dimension by perceiving their environment through data acquisition, interpreting the collected structured or unstructured data, reasoning on the knowledge or processing the information derived from this data and deciding the best action(s) to take to achieve the given goal. AI systems can adapt their behaviour by analysing how the environment is affected by their previous actions.
Source: https://ec.europa.eu/futurium/en/european-ai-alliance/will-next-significant-innovations-robotics-technology-or-artificial-0.html

Graça Delicado, Portugal

gdelicado — 2022-11-07 11:20:24 UTC

Learning analytics focuses on learning and aims to gain insight into the learning process through the analysis of data.(...)Thanks to learning analytics, a teacher can be made aware of the exact aspect with which a learner is struggling.
Source:https://www.i-learn.vlaanderen/en/news/edtech/the-usefulness-of-learning-analytics/
https://youtu.be/jH44SfUNpWw

2022-11-07 14:21:49 UTC

Julijana, Croatia

2022-11-07 14:23:24 UTC

Artificial Intelligence is defined as the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. AI is also defined as,

An Intelligent Entity Created By humans
Capable of Performing Tasks intelligently without being explicitly instructed.
Capable of thinking and acting rationally and humanely.

LEARNING ANALYTICS is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimising learning and the environments in which it occurs, as defined back in 2011 for the first LAK, this general definition still holds true even as the field has grown. Learning analytics is both an academic field and commercial marketplace which have taken rapid shape over the last decade. As a research and teaching field, Learning Analytics sits at the convergence of Learning (e.g. educational research, learning and assessment sciences, educational technology), Analytics (e.g. statistics, visualization, computer/data sciences, artificial intelligence), and Human-Centered Design (e.g. usability, participatory design, sociotechnical systems thinking).

Alena Croatia

2022-11-07 20:34:56 UTC

Artificial intelligence is the ability of a device to imitate human activities such as thinking, learning, planning and creativity.
Artificial intelligence systems can adjust their behavior to a certain extent by analyzing previous situations and working independently.
https://www.europarl.europa.eu/news/hr/headlines/priorities/umjetna-inteligencija-u-eu-u/20200827STO85804/sto-je-umjetna-inteligencija-i-kako-se-upotrebljava

Alena Croatia

2022-11-08 08:44:58 UTC

Dijana, Croatia

2022-11-08 08:44:59 UTC

AI refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.

jelena05 — 2022-11-08 13:09:18 UTC

Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems.

Sabina Eminova, Azerbaijan

1037540 — 2022-11-08 13:10:07 UTC

Artificial intelligence(AI) leverages computers and machines to mimic the problem-solving and decision-making capabilities of the human mind.

Jelena, Croatia

jelena05 — 2022-11-08 13:13:55 UTC

Sabina Eminova, Azerbaijan

1037540 — 2022-11-08 13:15:52 UTC

Types of artificial intelligence—weak AI vs. strong AI
Weak AI—also called Narrow AI or Artificial Narrow Intelligence (ANI)—is AI trained and focused to perform specific tasks. Weak AI drives most of the AI that surrounds us today. It enables some very robust applications, such as Apple's Siri, Amazon's Alexa, IBM Watson, and autonomous vehicles.
Strong AI is made up of Artificial General Intelligence (AGI) and Artificial Super Intelligence (ASI). Artificial general intelligence (AGI), or general AI, is a theoretical form of AI where a machine would have an intelligence equaled to humans; it would have a self-aware consciousness that has the ability to solve problems, learn, and plan for the future. Artificial Super Intelligence (ASI)—also known as superintelligence—would surpass the intelligence and ability of the human brain. While strong AI is still entirely theoretical with no practical examples in use today, that doesn't mean AI researchers aren't also exploring its development. In the meantime, the best examples of ASI might be from science fiction, such as HAL, the superhuman, rogue computer assistant in 2001: A Space Odissey

Sabina Eminova, Azerbaijan

1037540 — 2022-11-08 13:19:53 UTC

Learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs.

Ioana Fedeles,Romania

fedelesioana — 2022-11-08 14:36:55 UTC

Data is a collection of facts, such as numbers, words, measurements, observations or just descriptions of things.

Ioana Fedeles,Romania

fedelesioana — 2022-11-08 14:39:54 UTC

ducala2020 — 2022-11-08 15:16:46 UTC

Learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts in order to understand and optimize learning and the environments in which it occurs. A related field is educational data mining.

Mirjana Pokupić, Croatia

2022-11-08 17:32:10 UTC

Mirjana Pokupić, Croatia

2022-11-08 17:33:52 UTC

Mirjana Pokupić, Croatia

2022-11-08 17:36:32 UTC

big data (imenica)

extremely large data sets that may be analysed computationally to reveal patterns, trends, and associations, especially relating to human behaviour and interactions:
"much IT investment is going towards managing and maintaining big data"

Mirjana Pokupić, Croatia

2022-11-08 17:37:43 UTC

; )

2022-11-08 17:54:51 UTC

data are any type of information

2022-11-08 19:58:59 UTC

An attempt at a definition more useful than the “what computers can’t do yet” joke would be to list properties that are characteristic to AI, in this case autonomy and adaptivity.

Autonomy

The ability to perform tasks in complex environments without constant guidance by a user.

Asma Nemer-Jordan

asmanemer1 — 2022-11-09 06:05:48 UTC

Big data in education :a state of the art, limitations, and future research directions

Big data is an essential aspect of innovation which has recently gained major attention from both academics and practitioners. Considering the importance of the education sector, the current tendency is moving towards examining the role of big data in this sector. So far, many studies have been conducted to comprehend the application of big data in different fields for various purposes. However, a comprehensive review is still lacking in big data in education.

Asma Nemer- Jordan

asmanemer1 — 2022-11-09 06:06:33 UTC

- Artificial intelligence

2022-11-09 08:27:42 UTC

Big data is data that contains greater variety, arriving in increasing volumes and with more velocity. This is also known as the three Vs. Put simply, big data is larger, more complex data sets, especially from new data sources.

2022-11-09 16:24:56 UTC

Big data are large data sets which are difficult to process in traditional ways. Present data analysis is connected with volume, variety, velocity and veracity. Analysis can find new correlations in each particular field; eg spot new business trends, prevent diseases etc.

Alena, Czechia

2022-11-09 16:34:40 UTC

Artificial intelligence is the ability of computer systems to perform tasks that normally require human intelligence. Eg visual perception, speech recognition, decision-making, and translation between languages.

Alena, Czechia

2022-11-09 16:38:42 UTC

V.Dogani

2022-11-09 17:07:15 UTC

Data is to colect information about student,class. What to do in future activities

I thing data ARE

2022-11-09 20:50:20 UTC

data are a collection of discrete values that convey information, describing quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols.

Big! Big, big

2022-11-09 20:51:37 UTC

Big data refers to data sets that are too large or complex to be dealt with by traditional data-processing application software.

AI yuxel

Systems that act rationally

The AI is present in the facial detection function of mobile phones, in virtual voice assistants and it is integrated into our everyday devices through robots and mobile apps, a digital personal shoper, conceived to help us with language learning, designed to make the arduous task of finding new flooring a little bit more bearable, a virtual assistant on Facebook that issues medical "diagnoses".
The aim of all of these is to make people's lives easier. AI has the ability to process massive amounts of data and provide communication, commercial and business advantages that have led it into the position as the essential technology for the coming decades. Regardless of the field, no sector will be able to resist its charm.

https://www.iberdrola.com/innovation/what-is-artificial-intelligence

NIKOLAOS MPAKOS

2022-11-09 23:41:54 UTC

The most widely referenced definition of Learning Analytics is: “Learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs”.
It is expected that, from the traces left by students and teachers in teaching and learning, Learning Analytics can enhance understanding of learning behaviors, provide useful suggestions for policymakers, instructors, and learners and help educational practitioners to improve teaching and learning effectiveness.

Learning Analytics also involves the use of a broad range of data and techniques for analysis, which includes:
The development of metrics to understand the current situation (use of predicators and indicators for various factors) and measure teaching and learning effectiveness.
The use of different educational technologies in order to visualize and interpret data and to prompt remedial actions.
The refinement of the metrics and derivation of interventions to shape the learning environment.
Along with the rapid development of Internet and mobile technologies, Learning Analytics make use of Big Data for analyzing the vast amount of data obtained from the teaching and learning process.

https://link.springer.com/article/10.1007/s40692-020-00155-8

information, especially facts or numbers, collected to be examined and considered and used to help decision-making, or information in an electronic form that can be stored and used by a computer

2022-11-10 11:07:10 UTC

https://dictionary.cambridge.org/dictionary/english/data

very large sets of data that are produced by people using the internet, and that can only be stored, understood, and used with the help of special tools and methods: https://dictionary.cambridge.org/dictionary/english/big-data

2022-11-10 11:09:10 UTC

the study of how to produce machines that have some of the qualities that the human mind has, such as the ability to understand language, recognize pictures, solve problems, and learn

2022-11-10 11:10:06 UTC

https://dictionary.cambridge.org/dictionary/english/artificial-intelligence

Learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs.

2022-11-10 11:11:46 UTC

https://en.wikipedia.org/wiki/Learning_analytics

visnjavezmarovic — 2022-11-10 17:22:18 UTC

are a collection of discrete values that convey information, describing quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted.
https://en.wikipedia.org/wiki/Data

visnjavezmarovic — 2022-11-10 17:23:26 UTC

to data sets that are too large or complex to be dealt with by traditional data-processing application software.
https://en.wikipedia.org/wiki/Big_data

visnjavezmarovic — 2022-11-10 17:24:20 UTC

is intelligence - perceiving, synthesizing and infering information - demonstrated by machines, as opposed to intelligence displayed by animals and humans. OED (OUP) defines artificial intelligence
https://en.wikipedia.org/wiki/Artificial_intelligence

visnjavezmarovic — 2022-11-10 17:25:05 UTC

is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimising learning and the environments in which it occurs,
https://www.solaresearch.org/about/what-is-learning-analytics/

2022-11-10 17:32:29 UTC

2022-11-10 17:33:22 UTC

information, especially facts or numbers, collected to be examined and considered and used to help decision-making, or information in an electronic form that can be stored and used by a computer

marijazrinka — 2022-11-11 19:08:20 UTC

https://dictionary.cambridge.org/dictionary/english/data

very large sets of data that are produced by people using the internet, and that can only be stored, understood, and used with the help of special tools and methods

marijazrinka — 2022-11-11 19:09:17 UTC

https://dictionary.cambridge.org/dictionary/english/big-data

the study of how to produce machines that have some of the qualities that the human mind has, such as the ability to understand language, recognize pictures, solve problems, and learn

marijazrinka — 2022-11-11 19:10:14 UTC

https://dictionary.cambridge.org/dictionary/english/artificial-intelligence

LEARNING ANALYTICS is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimising learning and the environments in which it occurs

marijazrinka — 2022-11-11 19:11:43 UTC

https://www.solaresearch.org/about/what-is-learning-analytics/

Data

2022-11-12 16:50:01 UTC

facts and statistics collected together for reference or analysis.

Big data

2022-11-12 16:50:55 UTC

Data that contains greater variety, arriving in increasing volumes and with more velocity.

Artificial intelligence

2022-11-12 16:52:29 UTC

Artificial intelligence (AI) is intelligence - perceiving, synthesizing and infering information - demonstrated by machines, as opposed to intelligence displayed by animals and humans.

Learning analytics

2022-11-12 16:53:34 UTC

Generally speaking, learning analytics refers to the collection and analysis of data about learners and their environments for the purpose of understanding and improving learning outcomes.

data is information that has been translated into a form that is efficient for movement or processing. Relative to today's computers and transmission media, data is information converted into binary digital form. It is acceptable for data to be used as a singular subject or a plural subject

buljjadranka4 — 2022-11-12 20:29:21 UTC

https://www.techtarget.com/searchdatamanagement/definition/data

What is big data exactly? It can be defined as data sets whose size or type is beyond the ability of traditional relational databases to capture, manage and process the data with low latency. Characteristics of big data include high volume, high velocity and high variety. Sources of data are becoming more complex than those for traditional data because they are being driven by artificial intelligence (AI), mobile devices, social media and the Internet of Things (IoT). For example, the different types of data originate from sensors, devices, video/audio, networks, log files, transactional applications, web and social media — much of it generated in real time and at a very large scale

buljjadranka4 — 2022-11-12 20:31:51 UTC

https://www.ibm.com/analytics/big-data-analytics

artificial intelligence (AI), the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from past experience. Since the development of the digital computer in the 1940s, it has been demonstrated that computers can be programmed to carry out very complex tasks—as, for example, discovering proofs for mathematical theorems or playing chess—with great proficiency. Still, despite continuing advances in computer processing speed and memory capacity, there are as yet no programs that can match human flexibility over wider domains or in tasks requiring much everyday knowledge. On the other hand, some programs have attained the performance levels of human experts and professionals in performing certain specific tasks, so that artificial intelligence in this limited sense is found in applications as diverse as medical diagnosis, computer search engines, and voice or handwriting recognition.What is intelligence?All but the simplest human behaviour is ascribed to intelligence, while even the most complicated insect behaviour is never taken as an indication of intelligence. What is the difference? Consider the behaviour of the digger wasp, Sphex ichneumoneus. When the female wasp returns to her burrow with food, she first deposits it on the threshold, checks for intruders inside her burrow, and only then, if the coast is clear, carries her food inside. The real nature of the wasp’s instinctual behaviour is revealed if the food is moved a few inches away from the entrance to her burrow while she is inside: on emerging, she will repeat the whole procedure as often as the food is displaced. Intelligence—conspicuously absent in the case of Sphex—must include the ability to adapt to new circumstances.Psychologists generally do not characterize human intelligence by just one trait but by the combination of many diverse abilities. Research in AI has focused chiefly on the following components of intelligence: learning, reasoning, problem solving, perception, and using language.LearningThere are a number of different forms of learning as applied to artificial intelligence. The simplest is learning by trial and error. For example, a simple computer program for solving mate-in-one chess problems might try moves at random until mate is found. The program might then store the solution with the position so that the next time the computer encountered the same position it would recall the solution. This simple memorizing of individual items and procedures—known as rote learning—is relatively easy to implement on a computer. More challenging is the problem of implementing what is called generalization. Generalization involves applying past experience to analogous new situations. For example, a program that learns the past tense of regular English verbs by rote will not be able to produce the past tense of a word such as jump unless it previously had been presented with jumped, whereas a program that is able to generalize can learn the “add ed” rule and so form the past tense of jump based on experience with similar verbs.computer chip. computer. Hand holding computer chip. Central processing unit (CPU). history and society, science and technology, microchip, microprocessor motherboard computer Circuit BoardBRITANNICA QUIZComputers and Technology QuizComputers host websites composed of HTML and send text messages as simple as...LOL. Hack into this quiz and let some technology tally your score and reveal the contents to you.ReasoningTo reason is to draw inferences appropriate to the situation. Inferences are classified as either deductive or inductive. An example of the former is, “Fred must be in either the museum or the café. He is not in the café; therefore he is in the museum,” and of the latter, “Previous accidents of this sort were caused by instrument failure; therefore this accident was caused by instrument failure.” The most significant difference between these forms of reasoning is that in the deductive case the truth of the premises guarantees the truth of the conclusion, whereas in the inductive case the truth of the premise lends support to the conclusion without giving absolute assurance. Inductive reasoning is common in science, where data are collected and tentative models are developed to describe and predict future behaviour—until the appearance of anomalous data forces the model to be revised. Deductive reasoning is common in mathematics and logic, where elaborate structures of irrefutable theorems are built up from a small set of basic axioms and rules.There has been considerable success in programming computers to draw inferences, especially deductive inferences. However, true reasoning involves more than just drawing inferences; it involves drawing inferences relevant to the solution of the particular task or situation. This is one of the hardest problems confronting AI.Problem solvingProblem solving, particularly in artificial intelligence, may be characterized as a systematic search through a range of possible actions in order to reach some predefined goal or solution. Problem-solving methods divide into special purpose and general purpose. A special-purpose method is tailor-made for a particular problem and often exploits very specific features of the situation in which the problem is embedded. In contrast, a general-purpose method is applicable to a wide variety of problems. One general-purpose technique used in AI is means-end analysis—a step-by-step, or incremental, reduction of the difference between the current state and the final goal. The program selects actions from a list of means—in the case of a simple robot this might consist of PICKUP, PUTDOWN, MOVEFORWARD, MOVEBACK, MOVELEFT, and MOVERIGHT—until the goal is reached.Many diverse problems have been solved by artificial intelligence programs. Some examples are finding the winning move (or sequence of moves) in a board game, devising mathematical proofs, and manipulating “virtual objects” in a computer-generated world.PerceptionIn perception the environment is scanned by means of various sensory organs, real or artificial, and the scene is decomposed into separate objects in various spatial relationships. Analysis is complicated by the fact that an object may appear different depending on the angle from which it is viewed, the direction and intensity of illumination in the scene, and how much the object contrasts with the surrounding field.At present, artificial perception is sufficiently well advanced to enable optical sensors to identify individuals, autonomous vehicles to drive at moderate speeds on the open road, and robots to roam through buildings collecting empty soda cans. One of the earliest systems to integrate perception and action was FREDDY, a stationary robot with a moving television eye and a pincer hand, constructed at the University of Edinburgh, Scotland, during the period 1966–73 under the direction of Donald Michie. FREDDY was able to recognize a variety of objects and could be instructed to assemble simple artifacts, such as a toy car, from a random heap of components.LanguageA language is a system of signs having meaning by convention. In this sense, language need not be confined to the spoken word. Traffic signs, for example, form a minilanguage, it being a matter of convention that ⚠ means “hazard ahead” in some countries. It is distinctive of languages that linguistic units possess meaning by convention, and linguistic meaning is very different from what is called natural meaning, exemplified in statements such as “Those clouds mean rain” and “The fall in pressure means the valve is malfunctioning.”An important characteristic of full-fledged human languages—in contrast to birdcalls and traffic signs—is their productivity. A productive language can formulate an unlimited variety of sentences.It is relatively easy to write computer programs that seem able, in severely restricted contexts, to respond fluently in a human language to questions and statements. Although none of these programs actually understands language, they may, in principle, reach the point where their command of a language is indistinguishable from that of a normal human. What, then, is involved in genuine understanding, if even a computer that uses language like a native human speaker is not acknowledged to understand? There is no universally agreed upon answer to this difficult question. According to one theory, whether or not one understands depends not only on one’s behaviour but also on one’s history: in order to be said to understand, one must have learned the language and have been trained to take one’s place in the linguistic community by means of interaction with other language users.Update Privacy Preferences

buljjadranka4 — 2022-11-12 20:33:03 UTC

https://www.britannica.com/technology/artificial-intelligence

Generally speaking, learning analytics refers to the collection and analysis of data about learners and their environments for the purpose of understanding and improving learning outcomes.

buljjadranka4 — 2022-11-12 20:34:44 UTC

https://www.northeastern.edu/graduate/blog/learning-analytics/

Amalija, Croatia

amalijamisircujko — 2022-11-12 22:05:06 UTC

Definition - Data
https://www.yourdictionary.com/data

Amalija, Croatia

amalijamisircujko — 2022-11-12 22:11:19 UTC

Big Data
https://www.sap.com/insights/what-is-big-data.html

Amalija, Croatia

amalijamisircujko — 2022-11-12 22:15:18 UTC

Artifical intelligence
https://www.britannica.com/technology/artificial-intelligence

Amalija, Croatia

amalijamisircujko — 2022-11-12 22:18:49 UTC

Learning analytics
https://www.valamis.com/hub/learning-analytics

Georgia, Greece

zazouki — 2022-11-13 07:24:59 UTC

1) facts or information, especially when examined and used to find out things or to make decisions
2) information that is stored by a computer
https://www.oxfordlearnersdictionaries.com/definition/english

Georgia, Greece

zazouki — 2022-11-13 07:26:58 UTC

sets of information that are too large or too complex to handle, analyse or use with standard methods

https://www.oxfordlearnersdictionaries.com/definition/english/

Georgia, Greece

zazouki — 2022-11-13 07:28:38 UTC

Bojan, Croatia

lazicbojan — 2022-11-13 12:06:17 UTC

Known or assumed fact on the basis of which information is formed. It consists of a set of quantitative parameters that can be written as strings of characters or strings of numbers.

Bojan, Croatia

lazicbojan — 2022-11-13 12:08:07 UTC

The definition of big data is data that contains greater variety, arriving in increasing volumes and with more velocity. This is also known as the three Vs.Put simply, big data is larger, more complex data sets, especially from new data sources. These data sets are so voluminous that traditional data processing software just can’t manage them. But these massive volumes of data can be used to address business problems you wouldn’t have been able to tackle before.

Bojan, Croatia

lazicbojan — 2022-11-13 12:11:07 UTC

Artificial intelligence (AI), part of computer science (informatics) that deals with the development of the ability of computers to perform tasks that require some form of intelligence, i.e. to be able to navigate new situations, learn new concepts, draw conclusions, understand natural language, recognize scenes, etc.

Bojan, Croatia

lazicbojan — 2022-11-13 12:12:30 UTC

Sofia, Greece

spoulioti — 2022-11-13 12:44:26 UTC

Big data refers to data sets that are too large or complex to be dealt with by traditional data-processing application software. (wikipedia)

Sofia, Greece

spoulioti — 2022-11-13 12:45:57 UTC

In the pursuit of knowledge, data (US: /ˈdætə/; UK: /ˈdeɪtə/) are a collection of discrete values that convey information, describing quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted. (wikipedia)

Sofia, Greece

spoulioti — 2022-11-13 12:47:03 UTC

Artificial intelligence (AI) is intelligence - perceiving, synthesizing and infering information - demonstrated by machines, as opposed to intelligence displayed by animals and humans. OED (OUP) defines artificial intelligence as:

the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages
(wikipedia)

Sofia, Greece

spoulioti — 2022-11-13 12:48:38 UTC

Ivan Tušek, Osijek - Croatia

2022-11-13 14:54:59 UTC

Ivan Tušek, Osijek - Croatia

2022-11-13 14:56:12 UTC

big data is data that contains greater variety, arriving in increasing volumes and with more velocity. This is also known as the three Vs. Put simply, big data is larger, more complex data sets, especially from new data sources.

Ivan Tušek, Osijek - Croatia

2022-11-13 14:56:53 UTC

Ivan Tušek, Osijek - Croatia

2022-11-13 14:57:48 UTC

Antonio, Hrvatska

2022-11-13 16:08:33 UTC

Data is a fictional character in the Star Trek franchise.

Antonio, Hrvatska

2022-11-13 16:10:23 UTC

Antonio, Hrvatska

2022-11-13 16:13:28 UTC

AI (artificial intelligence) describes the field of computer science that deals with the development of intelligent tools (machines, devices, applications) that react and learn like humans. Terms such as machine learning and IOT (internet of things) also enter this field. The technological design of the AI system, among other things, includes the understanding and analysis of language, speech, images, according to which the system learns how to react, plan or solve certain tasks.

Antonio, Hrvatska

2022-11-13 16:15:42 UTC

Learning analytics is a rapidly growing new field of research. It takes advantage of education and training in the field of e-learning implementation as well as research and development work in areas such as educational data retrieval, Internet analytics and Prague decade statistics.

Darija-Marija, Split - Croatia

2022-11-13 16:59:51 UTC

Data means information, more specifically facts, figures, measurements and amounts that we gather for analysis or reference.

https://marketbusinessnews.com/financial-glossary/data-definitio/#:~:text=Data%20means%20information%2C%20more%20specifically,store%20data%20typically%20through%20observation.

Darija- Marija, Split - Croatia

2022-11-13 17:00:28 UTC

Big data is a combination of structured, semistructured and unstructured data collected by organizations that can be mined for information and used in machine learning projects, predictive modeling and other advanced analytics applications.

https://www.techtarget.com/searchdatamanagement/definition/big-data

Darija-Marija, Split- Croatia

2022-11-13 17:01:13 UTC

2022-11-13 18:28:31 UTC

Senka, Hrvatska

2022-11-13 19:58:09 UTC

Daisy , Italy

the large volume of data in many environments;
the wide variety of data types frequently stored in big data systems; and
the velocity at which much of the data is generated, collected and processed.

Katerina, Greece

aikgoltsiou — 2022-11-14 05:58:00 UTC

Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Most AI examples that you hear about today – from chess-playing computers to self-driving cars – rely heavily on deep learning and natural language processing. Using these technologies, computers can be trained to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data.

https://www.sas.com/el_gr/insights/analytics/what-is-artificial-intelligence.html

Katerina Greece

aikgoltsiou — 2022-11-14 06:01:37 UTC

2022-11-14 11:58:28 UTC

Data is information that has been translated into a form that is efficient for movement or processing. Relative to today's computers and transmission media, data is information converted into binary digital form. It is acceptable for data to be used as a singular subject or a plural subject. Raw data is a term used to describe data in its most basic digital format.

2022-11-14 12:01:58 UTC

The definition of big data is data that contains greater variety, arriving in increasing volumes and with more velocity. This is also known as the three Vs.

2022-11-14 12:04:03 UTC

Artificial Intelligence (AI)

Artificial intelligence leverages computers and machines to mimic the problem-solving and decision-making capabilities of the human mind.

2022-11-14 12:05:30 UTC

Irena, Serbia

2022-11-14 16:47:05 UTC

Cláudia - Portugal

claudiacampos13 — 2022-11-14 16:48:42 UTC

Big Data é o conceito que descreve conjuntos de dados extremamente amplos e que, por esse motivo, precisam ser tratados com ferramentas específicas para grandes volumes. Assim, toda e qualquer informação nesse conjunto pode ser encontrada, analisada e aproveitada em tempo hábil.

https://www.infowester.com/big-data.php

Irena, Serbia

2022-11-14 16:48:49 UTC

Big data refers to data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many fields (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data analysis challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy, and data source. Big data was originally associated with three key concepts: volume, variety, and velocity.
Wikipedia

Irena, Serbia

2022-11-14 16:51:13 UTC

What is artificial intelligence? - Bing video

Cláudia - Portugal

claudiacampos13 — 2022-11-14 16:51:16 UTC

Uma base de dados é um conjunto de informação estruturada e relacionada entre si, sobre um determinado tema ou domínio. Permite gerir enormes volumes de dados de modo a facilitar a organização, a manutenção e a pesquisa de dados, bem como outros tipos de operações processados por meios informáticos.

http://aprendis.gim.med.up.pt/index.php/Bases_de_Dados

Irena, Serbia

2022-11-14 16:53:39 UTC

Cláudia - Portugal

claudiacampos13 — 2022-11-14 16:54:25 UTC

LEARNING ANALYTICS é a medição, coleta, análise e relatório de dados sobre os alunos e seus contextos, para fins de compreensão e otimização da aprendizagem e dos ambientes em que ela ocorre, conforme definido em 2011 para o primeiro LAK, esta definição geral ainda é válida mesmo que o campo tenha crescido. A análise de aprendizagem é um campo acadêmico e um mercado comercial que tomou forma rápida na última década.

https://www.solaresearch.org/about/what-is-learning-analytics/

Filippos, Greece

2022-11-14 17:01:56 UTC

Data : In general, data is any set of characters that is gathered and translated for some purpose, usually analysis. If data is not put into context, it doesn't do anything to a human or computer.

https://www.computerhope.com/jargon/d/data.htm

Filippos, Greece

2022-11-14 17:02:33 UTC

Big data: Data that is huge in Volume (size), Variety, and Velocity (speed) is known as big data.

https://www.mongodb.com/basics/big-data-explained

Sandra, Sintra, Lisboa - Portugal

sandranavesmartins42 — 2022-11-14 17:02:35 UTC

We define data as "a sequence of quantified or quantifiable symbols".[4] Therefore, a text is a data. In fact, letters are quantified symbols, since the alphabet itself constitutes a numerical base. Images, sounds and animation are also given, as they can all be quantified to the point that someone who comes into contact with them eventually find it difficult to distinguish their reproduction, from the quantified representation, with the original. It is very important to note that any text constitutes data or a sequence of data, even if it is ineligible to the reader.[5]
4- SETZER, Valdemar W. Dado, informação, conhecimento e competência. DataGramaZero Revista de Ciência da Informação, n. 0, 1999
5 - DataGramaZero

Filippos, Giannakas

2022-11-14 17:03:01 UTC

Artificial Intelligence: Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems.

https://www.techtarget.com/searchenterpriseai/definition/AI-Artificial-Intelligence

Filippos, Giannakas

2022-11-14 17:03:27 UTC

Learning Analytics: Learning analytics is defined as the “measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs” (Siemens, et al., 2011).

https://itali.uq.edu.au/digital-learning/learning-analytics

Sandra, Sintra, Lisboa - Portugal

sandranavesmartins42 — 2022-11-14 17:04:09 UTC

Big data, is the area of knowledge that studies how to treat, analyze and obtain information from datasets that are too large to be analyzed by traditional systems.
Fonte: Wikipedia

Maria Antónia Brandão PT

dolores_brandao — 2022-11-14 17:04:27 UTC

In computing, data is information that has been translated into a form that is efficient for movement or processing. Relative to today's computers and transmission media, data is information converted into binary digital form.
https://www.techtarget.com/searchdatamanagement/definition/data

Sandra, Sintra, Lisboa - Portugal

sandranavesmartins42 — 2022-11-14 17:05:51 UTC

In technology, Artificial Intelligence (AI) is the intelligence demonstrated by machines when performing complex tasks associated with intelligent beings.

Sandra, Sintra, Lisboa - Portugal

sandranavesmartins42 — 2022-11-14 17:09:13 UTC

Maria Antónia Brandão

dolores_brandao — 2022-11-14 17:10:57 UTC

There are multiple ways to define big data (Kitchin 2014, Kitchin & McArdle 2016). Perhaps the most straightforward characterisation is as large datasets that are produced in a digital form and can be analysed through computational tools. Hence the two features most commonly associated with Big Data are volume and velocity. Volume refers to the size of the files used to archive and spread data. Velocity refers to the pressing speed with which data is generated and processed. The body of digital data created by research is growing at breakneck pace and in ways that are arguably impossible for the human cognitive system to grasp and thus require some form of automated analysis.

Maria Antónia brandão - PT

Big data refers to data sets that are too large or complex to be dealt with by traditional data-processing application software.

alexandra,greece

alxir — 2022-11-14 18:52:39 UTC

alexandra,greece

alxir — 2022-11-14 18:54:40 UTC

Anica-Maria

tanaseanicamaria2015 — 2022-11-14 19:31:31 UTC

In computing, data is information that has been translated into a form that is efficient for movement or processing. Relative to today's computers and transmission media, data is information converted into binary digital form. It is acceptable for data to be used as a singular subject or a plural subject.

Anica-Maria

tanaseanicamaria2015 — 2022-11-14 19:33:36 UTC

Chiara - Italy

2022-11-14 22:09:08 UTC

Data are measurements or observations that are collected as a source of information. There are a variety of different types of data, and different ways to represent data. (https://www.abs.gov.au/websitedbs/D3310114.nsf/Home/Statistical+Language+-+what+are+data)

Chiara - Italy

2022-11-14 22:10:46 UTC

The definition of big data is data that contains greater variety, arriving in increasing volumes and with more velocity. This is also known as the three Vs.

Chiara - Italy

2022-11-14 22:13:41 UTC

Artificial Intelligence (AI) Explained

In the simplest terms, AI which stands for artificial intelligence refers to systems or machines that mimic human intelligence to perform tasks and can iteratively improve themselves based on the information they collect. AI manifests in a number of forms. A few examples are:

Chatbots use AI to understand customer problems faster and provide more efficient answers
Intelligent assistants use AI to parse critical information from large free-text datasets to improve scheduling
Recommendation engines can provide automated recommendations for TV shows based on users’ viewing habits (https://www.oracle.com/artificial-intelligence/what-is-ai/)

Melisa, Bosnia and Herzegovina

Inowoman — 2022-11-15 19:20:17 UTC

Learning analytics refers to the collection and analysis of data about learners and their environments for the purpose of understanding and improving learning outcomes.

Learning analytics is where big data meets traditional quantitative methods in education.

Manuel, Portugal

2022-11-16 01:38:44 UTC

Big data refers to data sets that are too large or complex to be dealt with by traditional data-processing application software.

Manuel, Portugal

2022-11-16 01:41:00 UTC

Artificial intelligence (AI) is intelligence - perceiving, synthesizing, and infering information - demonstrated by machines, as opposed to intelligence displayed by animals and humans.

Manuel, Portugal

2022-11-16 01:42:23 UTC

Manuel, Portugal

2022-11-16 01:44:43 UTC

Snježana, Croatia

snjeguljica48 — 2022-11-16 06:12:37 UTC

Data is a collection of facts, such as numbers, words, measurements, observations or just descriptions of things.

Snježana, Croatia

snjeguljica48 — 2022-11-16 06:17:38 UTC

Big data refers to large data sets that can be studied to reveal patterns, trends, and associations. The vast amount of data collection avenues that exist means that data can now come in larger quantities, be gathered much more quickly, and exist in a greater variety of different formats than ever before. This new, larger, and more complex data is collectively called big data.

Snježana, Croatia

snjeguljica48 — 2022-11-16 06:19:23 UTC

Artificial Intelligence is defined as the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. AI is also defined as,

An Intelligent Entity Created By humans
Capable of Performing Tasks intelligently without being explicitly instructed.
Capable of thinking and acting rationally and humanely.

Snježana, Croatia

snjeguljica48 — 2022-11-16 06:22:40 UTC

Generally speaking, learning analytics refers to the collection and analysis of data about learners and their environments for the purpose of understanding and improving learning outcomes.

Much of the data currently available does not come in neat, well-organized, and collected formats. It exists in varied forms across systems and locations. Analysts today need the skills to access and transform this data, so we can better understand not only what students know, but how they know it. Learning analytics and educational data mining are the tools to transform this data into knowledge and lead, in the end, to improved education.

Nevena,Croatia

2022-11-16 07:07:21 UTC

Data is information that has been translated into a form that is efficient for movement or processing. Data is information converted into binary digital form.

Nevena, Croatia

2022-11-16 07:08:50 UTC

Big data is data that contains greater variety, arriving in increasing volumes and with more velocity.

Nevena, Croatia

2022-11-16 07:10:06 UTC

Nevena, Croatia

2022-11-16 07:11:43 UTC

Data, Eva, Slovakia

pankovaeva8 — 2022-11-16 15:20:54 UTC

Characteristics or information, usually numerical, that are collected through observation.

Vasiliki, Greece

2022-11-16 16:14:05 UTC

artificial intelligence

noun

Vasiliki, Greece

2022-11-16 16:18:48 UTC

Vasiliki, Greece

2022-11-16 16:20:52 UTC

What exactly is big data?

The definition of big data is data that contains greater variety, arriving in increasing volumes and with more velocity. This is also known as the three Vs.

Vasiliki, Greece

2022-11-16 16:23:44 UTC

SO WHAT’S ALL THE FUSS ABOUT? People have been researching learning and teaching, tracking student progress, analysing school or university data, designing assessments and using evidence to improve teaching and learning for a long time. Learning Analytics builds on these well established disciplines, but seeks to exploit the new opportunities once we capture new forms of digital data from students’ learning activity, and use computational analysis techniques from data science and AI.

Simona, Lithuania

sjaciene — 2022-11-16 17:15:46 UTC

data is information that has been translated into a form that is efficient for movement or processing. Relative to today's computers and transmission media, data is information converted into binary digital form.
https://www.techtarget.com/searchdatamanagement/definition/big-data

Simona, Lithuania

sjaciene — 2022-11-16 17:16:47 UTC

The term big data has been used to describe data in the petabyte range or larger

Simona, Lithuania

sjaciene — 2022-11-16 17:17:09 UTC

AI - Artificial intelligence is intelligence - perceiving, synthesizing, and infering information - demonstrated by machines, as opposed to intelligence displayed by animals and humans

Simona, Lithuania

A date is synonymous with a piece of information. The word is mostly used in the plural (data, information). Strictly speaking, however, the two terms are different, data can come from a series of disparate and uncoordinated measurements or observations, while information is based on coordinated, organized, coherent data that usually also has meaning some. As a format data can be made up of numbers, letters, images and others.
https://ro.wikipedia.org/wiki/Dat%C4%83

Bondar Gladiola,, Romania

2022-11-17 14:00:25 UTC

Learning analytics is defined as “the measurement, collection, analysis, and reporting of data about learners, learning environments and contexts to understand and optimize learning and their environments” (Siemens and Gasevic, 2012).

Martina, Croatia

martinaplascak — 2022-11-17 15:19:53 UTC

https://www.merriam-webster.com/dictionary/data

1: factual information (such as measurements or statistics) used as a basis for reasoning, discussion, or calculation

the data is plentiful and easily available
H. A. Gleason, Jr.
comprehensive data on economic growth have been published
N. H. Jacoby

2: information in digital form that can be transmitted or processed

3: information output by a sensing device or organ that includes both useful and irrelevant or redundant information and must be processed to be meaningful

Martina, Croatia

martinaplascak — 2022-11-17 15:22:17 UTC

https://www.oracle.com/big-data/what-is-big-data/#defined and then downloaded file about evolution of big data
Big data is a concept that describes data sets that exceed the size that can be managed by traditional tools. It is defined by “three Vs”: growing variety, arriving in increasing volumes and with more velocity, or the high rate at which data is received and acted on.

Martina, Croatia

martinaplascak — 2022-11-17 15:23:30 UTC

https://www.britannica.com/technology/artificial-intelligence
artificial intelligence (AI), the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings.

martinaplascak — 2022-11-17 15:23:56 UTC

https://www.solaresearch.org/about/what-is-learning-analytics/
LEARNING ANALYTICS is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimising learning and the environments in which it occurs, as defined back in 2011 for the first LAK, this general definition still holds true even as the field has grown. Learning analytics is both an academic field and commercial marketplace which have taken rapid shape over the last decade. As a research and teaching field, Learning Analytics sits at the convergence of Learning (e.g. educational research, learning and assessment sciences, educational technology), Analytics (e.g. statistics, visualization, computer/data sciences, artificial intelligence), and Human-Centered Design (e.g. usability, participatory design, sociotechnical systems thinking).

DATA

2022-11-17 19:43:54 UTC

information, especilly facts or numbers, collected to be examined and considered and used to help decision-making, or information electronic form that can be stored and used by a computer

BIG DATA

2022-11-17 19:48:13 UTC

Big data is a large volume of data. An informational asset that is characterized by high quantity, speed, and diversity. Large data sets that are difficult to process, control or examine in a traditional way. Big data is generally characterized into 3 Vs which are Volume, Variety, and Velocity. Volume refers to as a large amount of data or increasing scale of data. The size of big data can be measured in terabytes and petabytes. In order to cater for the large volume of data, high capacity storage systems are required. The variety refers to as a type or heterogeneity of data. The data can be in a structured format (databases) or unstructured format (images, video, emails). Big data analytical tools are helpful in handling unstructured data. Velocity refers to as the speed at which big data can access. The data is virtually present in a real-time environment (Internet logs).

AI

2022-11-17 19:59:34 UTC

Artificial Intelligence (AI) is the combination of algorithms designed to create machines with the same capabilities as human beings. A technology that still seems distant and mysterious to us, but which has been present in our daily lives at all times for some years now.
Computer science experts Stuart Russell and Peter Norvig differentiate between several types of artificial intelligence:

Systems that think like humans

Systems that act like humans

Systems that think rationally

Systems that act rationally

PRACTICAL APPLICATIONS OF ARTIFICIAL INTELLIGENCE

AI is present in mobile face detection, in virtual voice assistants such as Apple's Siri, Amazon's Alexa, or Microsoft's Cortana, and is integrated into our everyday devices through bots (short for robots) or mobile apps, such as LyliExternal link, opens in a new window., a personal shopper in digital version; ParlaExternal link opens in a new window., conceived to help us with language learning; the EmsExternal link opens in a new window., designed to make the arduous task of finding a new apartment a little more bearable for us; or GyantExternal link opens in a new window., a Facebook virtual assistant that issues medical 'diagnoses'. The goal of all of them: is to make people's lives easier.

Advances in AI are already driving the use of big data because of its ability to process huge amounts of data and provide communication, commercial, and business advantages that have led it to position itself as the essential technology of the coming decades. Transportation, education, healthcare, culture... no sector will resist its charms.

IN THE ATTACHED IMAGE: MAIN APPLICATIONS OF ARTIFICIAL INTELLIGENCE:

VIRTUAL PERSONAL ASSISTANTS,
CLIMATE,
AGRICULTURE,
FINANCE,
LOGISTICS AND TRANSPORTATION,
EDUCATION,
COMMERCE
AND HEALTHCARE

LEARNING ANALYTICS

2022-11-17 20:10:18 UTC

A short introduction to learning analytics

By Yi-Shan Tsai, University of Edinburgh

LEARNING ANALYTICS is the measurement, collection, analysis, and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs, as defined back in 2011 for the first LAK, this general definition still holds true even as the field has grown. Learning analytics is both an academic field and a commercial marketplace which have taken rapid shape over the last decade. As a research and teaching field, Learning Analytics sits at the convergence of Learning (e.g. educational research, learning and assessment sciences, educational technology), Analytics (e.g. statistics, visualization, computer/data sciences, artificial intelligence), and Human-Centered Design (e.g. usability, participatory design, sociotechnical systems thinking).

Mário Santos, Portugal

Kvalitativno: Opisuju karakteristiku koja nije mjerljiva brojevima. Primjerice, nacionalnost.
Kvantitativni: To su podaci koji se mogu opisati brojkama.

https://hr.economy-pedia.com/11036214-fact

Štefica Čanić, Hrvatska

canicstefica — 2022-11-19 21:02:27 UTC

Umjetna inteligencija je sposobnost nekog uređaja da oponaša ljudske aktivnosti poput zaključivanja, učenja, planiranja i kreativnosti.

Umjetna inteligencija omogućuje tehničkim sustavima percipiranje okruženja, uzimanje u obzir onog što vide i rješavanje problema kako bi postigli neki cilj. Računalo prima podatke (koji su već pripremljeni ili prikupljeni s pomoću vlastitih senzora, npr. fotoaparata), obrađuje ih i daje odgovore.
https://www.europarl.europa.eu/news/hr/headlines/society/20200827STO85804/sto-je-umjetna-inteligencija-i-kako-se-upotrebljava

Štefica Čanić, Hrvatska

canicstefica — 2022-11-19 21:09:07 UTC

Analitika uĉenja je mjerenje, prikupljanje, analiziranje i prikaz podataka o učenicima (studenti) i njihovim okruženjima u svrhu razumijevanja i optimiziranja procesa učenja i okruženja u kojem se ono odvija.
https://www.srce.unizg.hr/files/srce/docs/CEU/moodlemoot/2022/braunager_zizak_analitike_ucenja_moodlemoot_2022.pdf

Diana, Romania

2022-11-20 13:54:32 UTC

Data is information such as facts and numbers used to analyze something or make decisions. Computer data is information in a form that can be processed by a computer.

Diana, Romania

2022-11-20 13:55:28 UTC

Diana, Romania

2022-11-20 13:56:38 UTC

Diana, Romania

2022-11-20 13:57:20 UTC

Anamaria, Romania

2022-11-20 15:47:21 UTC

Data is information such as facts and numbers used to analyze something or make decisions. Computer data is information in a form that can be processed by a computer.

Anamaria , Romania

2022-11-20 15:48:18 UTC

Big Data -extremely large data sets that may be analysed computationally to reveal patterns, trends, and associations, especially relating to human behaviour and interactions.

Anamaria, Romania

2022-11-20 15:50:39 UTC

Artificial intelligence - the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.

Anamaria, Romania

2022-11-20 15:52:04 UTC

Data is ....

anabarakaribinski — 2022-11-21 11:50:41 UTC

... a factual information (such as measurements or statistics) used as a basis for reasoning, discussion, or calculation

https://www.merriam-webster.com/dictionary/data

Big data is ...

anabarakaribinski — 2022-11-21 11:52:11 UTC

... an accumulation of data that is too large and complex for processing by traditional database management tools

https://www.merriam-webster.com/dictionary/big%20data

Artificial Intelligence ....

anabarakaribinski — 2022-11-21 11:53:16 UTC

2022-11-22 08:30:30 UTC

Data is online information.

Ionela, Romania

2022-11-22 08:31:23 UTC

Big data refer at data sets.

Ionela, Romania

2022-11-22 08:32:06 UTC

Artifical human inteligence

Ionela, Romania

2022-11-22 08:33:02 UTC

The analisis of learning.

Data are facts and statistics collected together for reference and analysis.

2022-11-22 19:51:18 UTC

Katarina, Serbia: Big data are extremely large data sets that may be analysed computationally to reveal patterns, trends and assiciations, especially relating to human behaviour and interactions.

2022-11-22 19:53:58 UTC

Katarina, Serbia: Artificial intelligence is the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages

2022-11-22 19:57:13 UTC

2022-12-02 21:44:59 UTC

Süheyla Y. Türkiye

syuksel47 — 2022-12-09 19:23:58 UTC

It is the measurement, collection, analysis and reporting of data about students and their contexts in order to understand learning and the environments in which it occurs.