Search results
Results From The WOW.Com Content Network
Personalized learning refers to instruction in which the pace of learning and the instructional approach are optimized for the needs of each learner. Learning objectives, instructional approaches, and instructional content (and its sequencing) may all vary based on learner needs. In addition, learning activities are meaningful and relevant to ...
Open educational resources ( OER) [ 1] are teaching, learning, and research materials intentionally created and licensed to be free for the end user to own, share, and in most cases, modify. [ 2][ 3] The term "OER" describes publicly accessible materials and resources for any user to use, re-mix, improve, and redistribute under some licenses. [ 4]
Experiential learning ( ExL) is the process of learning through experience, and is more narrowly defined as "learning through reflection on doing". [1] Hands-on learning can be a form of experiential learning, but does not necessarily involve students reflecting on their product. [2] [3] [4] Experiential learning is distinct from rote or ...
Text-to-image personalization. Text-to-Image personalization is a task in deep learning for computer graphics that augments pre-trained text-to-image generative models. In this task, a generative model that was trained on large-scale data (usually a foundation model ), is adapted such that it can generate images of novel, user-provided concepts.
Bloom's taxonomy is a set of three hierarchical models used for classification of educational learning objectives into levels of complexity and specificity. The three lists cover the learning objectives in cognitive, affective and psychomotor domains.
Learning environments are educational approaches, cultures, and physical settings for all types of learners and activities. The term learning environment can refer to an educational approach, cultural context, or physical setting in which teaching and learning occur. The term is commonly used as a more definitive alternative to "classroom", [1 ...
e. Machine learning ( ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data and thus perform tasks without explicit instructions. [ 1] Recently, artificial neural networks have been able to surpass many previous approaches in ...
A learning object is "a collection of content items, practice items, and assessment items that are combined based on a single learning objective ". [1] The term is credited to Wayne Hodgins, and dates from a working group in 1994 bearing the name. [2] The concept encompassed by 'Learning Objects' is known by numerous other terms, including ...