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Adaptive Learning
Adaptive learning, also known as adaptive teaching, is an educational method which uses computer algorithms as well as artificial intelligence to orchestrate the interaction with the learner and deliver customized resources and learning activities to address the unique needs of each learner. In professional learning contexts, individuals may "test out" of some training to ensure they engage with novel instruction. Computers adapt the presentation of educational material according to students' learning needs, as indicated by their responses to questions, tasks and experiences. The technology encompasses aspects derived from various fields of study including computer science, AI, psychometrics, education, psychology, and brain science. Research conducted, particularly in educational settings within the United States, has demonstrated the efficacy of adaptive learning systems in promoting student learning. Among 37 recent studies that examined the effects of adaptive learning on learn ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Teaching Method
A teaching method is a set of principles and methods used by teachers to enable student learning. These strategies are determined partly by the subject matter to be taught, partly by the relative expertise of the learners, and partly by constraints caused by the learning environment. For a particular teaching method to be appropriate and efficient it has to take into account the learner, the nature of the subject matter, and the type of learning it is supposed to bring about. The approaches for teaching can be broadly classified into teacher-centered and student-centered, but in practice teachers will often adapt instruction by moving back and forth between these methodologies depending on learner prior knowledge, learner expertise, and the desired learning objectives. In a teacher-centered approach to learning, teachers are the main authority figure in this model. Students are viewed as "empty vessels" whose primary role is to passively receive information (via lectures and di ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Qualtrics
Qualtrics is an American experience management company, with co-headquarters in Seattle, Washington, and Provo, Utah, in the United States. The company was founded in 2002 by Scott M. Smith, Ryan Smith, Jared Smith, and Stuart Orgill. Qualtrics offers a cloud-based subscription software platform for experience management, which it launched in March 2017. Qualtrics software is used widely in academia to conduct survey research; however, in 2012 the company began to pivot towards serving enterprise customers. On November 11, 2018, it was announced that Qualtrics would be acquired by SAP for US$8 billion. The acquisition was completed on January 23, 2019. On July 26, 2020, SAP announced its intent to take Qualtrics public, and on January 28, 2021, Qualtrics began trading on the Nasdaq. In March 2023, an investor group led by the private equity firm Silver Lake agreed to take Qualtrics private. On June 28, 2023, it was announced that Silver Lake and its co-investors, together wit ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Validated Learning
Validated learning is used in scrum. The term was proposed by Eric Ries in 2011. It is a unit of progress process and describes conclusions generated by trying out an initial idea and then measuring it against potential customers to validate the effect. Each test of an idea is a single iteration in a larger process of many iterations whereby something is learnt and then applied to succeeding tests. The term coined in the lean startup scene, but it can be applied universally. Validated learning is especially popular on the web, where analytics software can track visitor behavior and give accurate statistics and insight on how website features work in reality. Validated learning can, however, be applied to anything; one just needs to be innovative on what to use as metrics. Typical steps in validated learning: # Specify a goal # Specify a metric that represents the goal # Act to achieve the goal # Analyze the metric – did you get closer to the goal? # Improve and try again Phra ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Smart Learning
Educational technology (commonly abbreviated as edutech, or edtech) is the combined use of computer hardware, software, and educational theory and practice to facilitate learning and teaching. When referred to with its abbreviation, "EdTech", it often refers to the industry of companies that create educational technology. In ''EdTech Inc.: Selling, Automating and Globalizing Higher Education in the Digital Age'', Tanner Mirrlees and Shahid Alvi (2019) argue "EdTech is no exception to industry ownership and market rules" and "define the EdTech industries as all the privately owned companies currently involved in the financing, production and distribution of commercial hardware, software, cultural goods, services and platforms for the educational market with the goal of turning a profit. Many of these companies are US-based and rapidly expanding into educational markets across North America, and increasingly growing all over the world." In addition to the practical educational e ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Personalized Learning
Personalized learning (also named individualized instruction, personal learning place or direct instruction) refers to efforts to tailor education to meet the different needs of students. Overview Use of the term "personalized learning" dates back to the early 1960s, but there is no widespread agreement on the definition and components of a personal learning environment. Even enthusiasts for the concept admit that personal learning is an evolving term and does not have any widely accepted definition. In 2005, Dan Buckley defined two ends of the personalized learning spectrum: "personalization for the learner", in which the teacher tailors the learning to the student, and "personalization by the learner", in which the student develops skills to tailor their own learning. This spectrum was adopted by the Microsoft's 2006 Practical Guide to Envisioning and Transforming Education. Definitions The United States National Education Technology Plan 2017 defines "personalized learning" as ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Intelligent Tutoring Systems
An intelligent tutoring system (ITS) is a computer system that imitates human tutors and aims to provide immediate and customized instruction or feedback to learners, usually without requiring intervention from a human teacher. ITSs have the common goal of enabling learning in a meaningful and effective manner by using a variety of computing technologies. There are many examples of ITSs being used in both formal education and professional settings in which they have demonstrated their capabilities and limitations. There is a close relationship between intelligent tutoring, cognitive learning theories and design; and there is ongoing research to improve the effectiveness of ITS. An ITS typically aims to replicate the demonstrated benefits of one-to-one, personalized tutoring, in contexts where students would otherwise have access to one-to-many instruction from a single teacher (e.g., classroom lectures), or no teacher at all (e.g., online homework). ITSs are often designed with t ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Educational Software
Educational software is a term used for any computer software that is made for an educational purpose. It encompasses different ranges from language learning software to classroom management software to reference software. The purpose of all this software is to make some part of education more effective and efficient. History 1946–1970s The use of computer hardware and software in education and training dates to the early 1940s, when American researchers developed flight simulators which used analog computers to generate simulated onboard instrument data. One such system was the type19 synthetic radar trainer, built in 1943. From these early attempts in the WWII era through the mid-1970s, educational software was directly tied to the hardware, on which it ran. Pioneering educational computer systems in this era included the PLATO (computer system), PLATO system (1960), developed at the University of Illinois, and TICCIT (1969). In 1963, IBM partnered with Stanford Universit ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Computerized Adaptive Testing
Computerized adaptive testing (CAT) is a form of Computer-based assessment, computer-based test that adapts to the examinee's ability level. For this reason, it has also been called tailored testing. In other words, it is a form of computer-administered Test (student assessment), test in which the next item or set of items selected to be administered depends on the correctness of the test taker's responses to the most recent items administered. Description CAT successively selects questions (test items) for the purpose of maximizing the precision of the exam based on what is known about the examinee from previous questions. From the examinee's perspective, the difficulty of the exam seems to tailor itself to their level of ability. For example, if an examinee performs well on an item of intermediate difficulty, they will then be presented with a more difficult question. Or, if they performed poorly, they would be presented with a simpler question. Compared to static tests that near ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Adaptive Hypermedia
Adaptive hypermedia (AH) uses hypermedia which is adaptive according to a '' user model''. In contrast to regular hypermedia, where all users are offered the same set of hyperlinks, adaptive hypermedia (AH) tailors what the user is offered based on a model of the user's goals, preferences and knowledge, thus providing links or content most appropriate to the current user. Background Adaptive hypermedia is used in educational hypermedia, on-line information and help systems, as well as institutional information systems. Adaptive educational hypermedia tailors what the learner sees to that learner's goals, abilities, needs, interests, and knowledge of the subject, by providing hyperlinks that are most relevant to the user in an effort to shape the user's cognitive load. The teaching tools "adapt" to the learner. On-line information systems provide reference access to information for users with a different knowledge level of the subject. An adaptive hypermedia system should satisfy th ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Inference Engine
In the field of artificial intelligence, an inference engine is a software component of an intelligent system that applies logical rules to the knowledge base to deduce new information. The first inference engines were components of expert systems. The typical expert system consisted of a knowledge base and an inference engine. The knowledge base stored facts about the world. The inference engine applied logical rules to the knowledge base and deduced new knowledge. This process would iterate as each new fact in the knowledge base could trigger additional rules in the inference engine. Inference engines work primarily in one of two modes either special rule or facts: forward chaining and backward chaining. Forward chaining starts with the known facts and asserts new facts. Backward chaining starts with goals, and works backward to determine what facts must be asserted so that the goals can be achieved. Additionally, the concept of 'inference' has expanded to include the process t ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Artificial Intelligence
Artificial intelligence (AI) is the capability of computer, computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. It is a field of research in computer science that develops and studies methods and software that enable machines to machine perception, perceive their environment and use machine learning, learning and intelligence to take actions that maximize their chances of achieving defined goals. High-profile applications of AI include advanced web search engines (e.g., Google Search); recommendation systems (used by YouTube, Amazon (company), Amazon, and Netflix); virtual assistants (e.g., Google Assistant, Siri, and Amazon Alexa, Alexa); autonomous vehicles (e.g., Waymo); Generative artificial intelligence, generative and Computational creativity, creative tools (e.g., ChatGPT and AI art); and Superintelligence, superhuman play and analysis in strategy games (e.g., ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
