Reading comprehension is essential for both knowledge acquisition and memory reinforcement. Automated modeling of the comprehension process provides insights into the efficacy of specific texts as learning tools. This paper introduces an improved version of the Automated Model of Comprehension, version 3.0 (AMoC v3.0). AMoC v3.0 is based on two…

Reading comprehension is key to knowledge acquisition and to reinforcing memory for previous information. While reading, a mental representation is constructed in the reader's mind. The mental model comprises the words in the text, the relations between the words, and inferences linking to concepts in prior knowledge. The automated model of…

The radical exemplar model resonates with work on perceptual classification and categorization highlighting the role of exemplars in memory representations. Further development of the model requires acknowledgment of both the fleeting and fragile nature of perceptual representations and the gist-based, good-enough quality of long-term memory…

Every teacher expects optimum level of processing in mind of them students. The level of processing is mainly depends upon memory process. Most of the students have retrieval difficulties on past learning. Memory difficulties directly related to sensory integration. In these circumstances the investigator made an attempt to construct Multisensory…

Within the context of complex cognitive processing and educational interventions, Woolfolk (2016) makes reference to problem solving acquisition, problem solving retention, and problem solving transfer. In each of the aforementioned types of problem solving activities, problem identification and problem representation (reflecting procedural…

While Educational Data Mining research has traditionally emphasized the practical aspects of learner modeling, such as predictive modeling, estimating students knowledge, and informing adaptive instruction, in the current study, we argue that Educational Data Mining can also be used to test and improve our fundamental theories of human learning.…

Purpose: This paper aims to link recent findings in cognitive neuroscience to better understand how andragogically informed instructional practices impact cognition and learning. Design/Methodology/Approach: The research questions guiding the study is in what ways can the recent findings in cognitive neuroscience help to inform adult education…

Managing software development is a very complex activity because it must deal with people, organizations, technologies, and business processes. My dissertation consists of three studies that examine software development management from various perspectives. The first study empirically investigates the impacts of prior experience with similar…

Visual scenes contain many statistical regularities such as the likely identity and location of objects that are present; with experience, such regularities can be encoded and can ultimately facilitate the deployment of spatial attention to important locations. Memory-guided attention has been extensively examined in adults with the "contextual…

A longstanding and fundamental debate in developmental science is whether knowledge is acquired through domain-specific or domain-general mechanisms. To date, there exists no tool to determine whether experimental data support one theoretical approach or the other. In this article, we argue that the U- and N-shaped curves found in a number of…

A cognitive model of human learning with understanding is introduced. Empirical research supporting the model, which is called the generative model, is summarized. The model is used to suggest a way to integrate some of the research in cognitive development, human learning, human abilities, information processing, and aptitude-treatment…

Noting that the sentence memory models formulated in the 1970s need to be altered so as to be consistent with the fact that people use prior knowledge to process new information, this report discusses issues to be considered in making such an alteration. The report focuses on three questions: (1) What conditions lead people to elaborate and…

Defines involvement as the spread of activation through working and long-term memory, with topics resulting in more extensive and/or stronger activation resulting in higher involvement. Finds evidence from the measurement of reaction time for recognition in support of the model. (SR)

In recent years, memory-based and explanation-based theories have dominated the discourse processing literature. Numerous studies have been conducted to show support for each of the two views. Most of these studies have manipulated factors in the episodic memory trace of texts, without a great deal of focus on how general world knowledge impacts…

Effects of prior knowledge and elaborate processing on retention of connected discourse were studied. Using the mean scores of the control group from each condition, derived scores were calculated for experimental groups. Results indicate prior knowledge and elaborative processing operate to diminish retroactive interference generated by reading a…