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Multimedia instructional design principles. Beginning with cognitive load theory as their motivating scientific premise, researchers such as Richard E. Mayer, John Sweller, and Roxana Moreno established within the scientific literature a set of multimedia instructional design principles that promote effective learning.
Multimedia. Multimedia is a form of communication that uses a combination of different content forms, such as writing, audio, images, animations, or video, into a single interactive presentation, in contrast to traditional mass media, such as printed material or audio recordings, which feature little to no interaction between users.
Multimedia studies. Multimedia studies is an interdisciplinary field of academic discourse focused on the understanding of technologies and cultural dimensions of linking traditional media sources with ones based on new media to support social systems.
Federated learning (also known as collaborative learning) is a sub-field of machine learning focusing on settings in which multiple entities (often referred to as clients) collaboratively train a model while ensuring that their data remains decentralized. [1] This stands in contrast to machine learning settings in which data is centrally stored ...
Weak supervision is a paradigm in machine learning, the relevance and notability of which increased with the advent of large language models due to large amount of data required to train them. It is characterized by using a combination of a small amount of human- labeled data (exclusively used in more expensive and time-consuming supervised ...
Thematic teaching (also known as thematic instruction) is the selecting and highlighting of a theme through an instructional unit or module, course, or multiple courses. It is often interdisciplinary, highlighting the relationship of knowledge across academic disciplines and everyday life. Themes can be topics or take the form of overarching ...
Tabula rasa ( / ˈtæbjələ ˈrɑːsə, - zə, ˈreɪ -/; Latin for "blank slate") is the idea of individuals being born empty of any built-in mental content, so that all knowledge comes from later perceptions or sensory experiences. Proponents typically form the extreme "nurture" side of the nature versus nurture debate, arguing that humans ...
e. Temporal difference ( TD) learning refers to a class of model-free reinforcement learning methods which learn by bootstrapping from the current estimate of the value function. These methods sample from the environment, like Monte Carlo methods, and perform updates based on current estimates, like dynamic programming methods.