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  2. Data literacy - Wikipedia

    en.wikipedia.org/wiki/Data_literacy

    Data literacy is the ability to read, understand, create, and communicate data as information. Much like literacy as a general concept, data literacy focuses on the competencies involved in working with data. [1] It is, however, not similar to the ability to read text since it requires certain skills involving reading and understanding data. [2]

  3. Learning analytics - Wikipedia

    en.wikipedia.org/wiki/Learning_analytics

    Dr. Wolfgang Greller and Dr. Hendrik Drachsler defined learning analytics holistically as a framework. They proposed that it is a generic design framework that can act as a useful guide for setting up analytics services in support of educational practice and learner guidance, in quality assurance, curriculum development, and in improving teacher effectiveness and efficiency.

  4. Social data science - Wikipedia

    en.wikipedia.org/wiki/Social_data_science

    Social data scientists use both digitized data [22] (e.g. old books that have been digitized) and natively digital data (e.g. social media posts). [23] Since such data often take the form of found data that were originally produced for other purposes (commercial, governance, etc.) than research, data scraping, cleaning and other forms of preprocessing and data mining occupy a substantial part ...

  5. Study skills - Wikipedia

    en.wikipedia.org/wiki/Study_skills

    A student studying outdoors. Study skills or study strategies are approaches applied to learning. Study skills are an array of skills which tackle the process of organizing and taking in new information, retaining information, or dealing with assessments. They are discrete techniques that can be learned, usually in a short time, and applied to ...

  6. Data-driven learning - Wikipedia

    en.wikipedia.org/wiki/Data-driven_learning

    Data-driven learning (DDL) is an approach to foreign language learning. Whereas most language learning is guided by teachers and textbooks, data-driven learning treats language as data and students as researchers undertaking guided discovery tasks. Underpinning this pedagogical approach is the data - information - knowledge paradigm (see DIKW ...

  7. Active learning - Wikipedia

    en.wikipedia.org/wiki/Active_learning

    A learning cell is an effective way for a pair of students to study and learn together. The learning cell was developed by Marcel Goldschmid of the Swiss Federal Institute of Technology in Lausanne (Goldschmid, 1971). A learning cell is a process of learning where two students alternate asking and answering questions on commonly read materials.

  8. Problem-based learning - Wikipedia

    en.wikipedia.org/wiki/Problem-based_learning

    The PBL students score higher than the students in traditional courses because of their learning competencies, problem solving, self-assessment techniques, data gathering, behavioral science etc. [33] It is because they are better at activating prior knowledge, and they learn in a context resembling their future context and elaborate more on ...

  9. Authentic learning - Wikipedia

    en.wikipedia.org/wiki/Authentic_Learning

    There are several authentic learning practices in which students may participate. These are a few examples: Simulation-Based Learning: Students engage in simulations and role-playing in order to be put in situations where the student has to actively participate in the decision making of a project. This helps in "developing valuable ...