This Design-based research study aimed to develop a design framework that would help learning designers to apply learning theory principles when designing learning objects. The study examined the experiential learning theory, information processing theory, and cognitive load theory to develop the iterative learning development (ILD) model. Several…

Metacognition and emotions play a critical role in learners' ability to monitor and regulate their learning about 21st-century skills related to science, technology, engineering, and mathematics (STEM) content while using advanced learning technologies (ALTs; e.g., intelligent tutoring systems, serious games, hypermedia, augmented reality). In…

The number of children and adolescents accessing the Internet as well as the amount of time online are steadily increasing. The most common online activities include playing video games, navigating web sites, and communicating via chat rooms, email, and instant messaging. A theoretical framework for understanding the effects of Internet use on…

Concludes that the model of cultural transmission designed by Dobbert et al and described in this journal is a major advance in the field, but that the model will only be fully rounded once they incorporate the processes by which the learner acquires his or her culture. (RDN)

Several different conceptions of the relationship between learning and development are considered in this article. It is argued that dialectical and ecological developmental orientations might provide a useful basis for synthesizing the contrasting frameworks of the operant, information processing, learning theory, and knowledge acquisition…

A theory of learning and forgetting is proposed which uses an information processing (IP) model. The IP model views learning as a process of storing, retrieving, and outputing information from a permanent memory. The concept of information pattern is important to the IP model because the pattern of information determines how the information will…

"This paper consists of three sections--(a) the relation of theoretical analyses of learning to curriculum design, (b) the role of information-processing models in analyses of learning processes, and (c) selected examples of the application of information-processing models to curriculum design problems." (Author)

The learning of mathematics is presented as a cognitive process rather than as a behavioristic one. A generative model of mathematics learning is described. Learning with understanding can occur with discovery or reception treatments. Relevant empirical research is discussed and implications for teaching mathematics as a generative process are…

A model derived from information processing theory is described, which helps to explain the complex verbal learning of students and suggests implications for lecturing techniques. Other factors affecting learning, which are not covered by the model, are discussed in relationship to it: student's intellectual development and effects of individual…

Several concepts and techniques used to design computer simulation of human performance were employed in developing an information processing approach to task analysis. This new approach is compared and contrasted with Gagne's hierarchical task analysis model. Two conceptual levels of a behavioral objective are identified. One level, referred to…

This paper represents a call for the rehabilitation and liberalization of the term learning. Preliminary steps for a revived theory of development and learning are described, including a consideration of such topics as compatibility or naturalness, accessibility and flexibility of learning, and processes of induction. Specific recommendations for…

A theory of memory is introduced, which seeks to respond to the shortcomings of existing theories based on metaphors. Memory is presented as a mechanism, a comparison process in which information held in some form of immediate storage (whether based on perception or previous cognition or both) is compared to previously stored long-term storage.…

Suggests a model of human cognition by describing similarities between human and electronic computers. This model might guide the development of software so that it is sufficiently powerful and flexible to be of value to human computers as they construct new knowledge in chemistry. (JN)