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Beyond independence in distance education: The concept of control. The American Journal of Distance Education, 1(3), 3-15; Garrison, R. (2000, June). Theoretical Challenges for Distance Education in the 21st Century: A Shift from Structural to Transactional Issues. The International Review of Research in Open and Distance Learning, 1(1).
Little research addresses this kind of judgment; however, evidence suggests that JOLs are at least somewhat accurate at predicting learning rates. [15] Therefore, these judgments occur in advance of learning and allow individuals to allot study time to the material that they are required to learn.
Specificity of processing describes the increased recall value of a stimulus when presented in the method with which it was inputted. For example, auditory stimuli (spoken words and sounds) have the highest recall value when spoken, and visual stimuli have the highest recall value when a subject is presented with images. [6]
American Journal of Distance Education (AJDE) is an academic journal focusing on the uses of Internet in distance education (e-learning, distributed learning, asynchronous learning and blended learning) in Americas. According to the journal website, it contents include: "building and sustaining effective delivery systems;
Adult Learning; British Journal of Special Education; Exceptional Children; Focus on Autism and Other Developmental Disabilities; Gifted Child Quarterly; Gifted Child Today; Journal for the Education of the Gifted; Journal of Early Intervention; Journal of Learning Disabilities; Journal of Research in Special Educational Needs
Content usually takes the form of articles presenting original research, review articles, or book reviews.The purpose of an academic journal, according to Henry Oldenburg (the first editor of Philosophical Transactions of the Royal Society), is to give researchers a venue to "impart their knowledge to one another, and contribute what they can to the Grand design of improving natural knowledge ...
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.
Transfer of learning occurs when people apply information, strategies, and skills they have learned to a new situation or context. Transfer is not a discrete activity, but is rather an integral part of the learning process. Researchers attempt to identify when and how transfer occurs and to offer strategies to improve transfer.