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Reading is an area that has been extensively studied via the computational model system. The dual-route cascaded model (DRC) was developed to understand the dual-route to reading in humans. [14] Some commonalities between human reading and the DRC model are: [5] Frequently occurring words are read aloud faster than non-frequently occurring words.
The model may output text that appears confident, though the underlying token predictions have low likelihood scores. Large language models like GPT-4 can have accurately calibrated likelihood scores in their token predictions, [33] and so the model output uncertainty can be directly estimated by reading out the token prediction likelihood scores.
Concept-Oriented Reading Instruction (CORI) was developed in 1993 by Dr. John T. Guthrie with a team of elementary teachers and graduate students. The project designed and implemented a framework of conceptually oriented reading instruction to improve students' amount and breadth of reading, intrinsic motivations for reading, and strategies of search and comprehension.
Reading different types of texts requires the use of different reading strategies and approaches. Making reading an active, observable process can be very beneficial to struggling readers. A good reader interacts with the text in order to develop an understanding of the information before them.
The system automatically build a user model according to student's performance. After reading, the student is given a series of exercises based on the target vocabulary found in reading. [72] CIRCSlM-Tutor CIRCSIM_Tutor is an intelligent tutoring system that is used with first year medical students at the Illinois Institute of Technology.
A pedagogical agent can increase the user's cognitive load by distracting them and becoming the focus of their attention, causing split attention between the instructional material and the agent. Agents can reduce the perceived cognitive load by providing narration and personalization that can also promote a user's interest and motivation. [8]
The input hypothesis, also known as the monitor model, is a group of five hypotheses of second-language acquisition developed by the linguist Stephen Krashen in the 1970s and 1980s. Krashen originally formulated the input hypothesis as just one of the five hypotheses, but over time the term has come to refer to the five hypotheses as a group.
An advantage of the comprehension approach of language learning is the fact that when the learner eventually understands the meaning and the correct application of the words, the language will sound more effortless when he or she speaks it in contrast to other forms of language learning, which may result in more stilted efforts.