This paper examines the possibilities and limitations of introducing simulated experiments in the psychology domain by practicing a course with graduate students in psychology, in which simulated experiments were conducted in place of real human experiments. The class-learning object was the dual-storage model of human memory. The simulation…

Memory palaces are effective tools for learning vast amounts of information in a canonical order using mnemonics. However, our review of the literature revealed a lack of implementation and user study of memory palace in Virtual Reality (VR) for neuroscience education. VR technology enables us to build highly interactive virtual learning spaces…

Today more than ever before, we have access to new technologies which provide unforeseen opportunities for educators to pursue new innovations in online education. Pursuing innovation is a complex process! It starts with an idea, but that needs to be coupled with the right team of experts willing to take big risks and put in the hard work to build…

Latest research suggests that the most effective methods on education are those which utilize technological tools that provide an interactive approach to learning. Exploratory technology which involves augmented reality applications in the regular school program, gives the opportunity to young learners to become autonomous and active in their…

We are so used to accept new technologies being the driver of change and innovation in human computer interfaces (HCI). In our research we focus on the development of innovations as a design process--or design, for short. We also refer to the entire process of creating innovations and putting them to use as "cognitive processes"--or…

A Virtual Resource Center (VRC) has been brought into use since 2008 as an integral part of a task-based language teaching and learning program for Business English courses at Nantes University, France. The objective of the center is to enable students to work autonomously and individually on their language problems so as to improve their language…

Described in the context of a computer simulation are highlights of a program of research focusing on the storage of mathematics problem solving information in young children's memory and the development of such knowledge structures in older children. Specifically discussed are the problem size effect, the network nature of the memory…

Connectionist models apply various mathematical rules within neural network computer simulations in an effort, among other things, to mimic and describe human memory associations and learning. Learning involves the interaction of information provided by instruction with existing information already in the learner's memory (Ausubel, 1968; Bruner,…

Test-retest reliabilities and practice effect magnitudes were considered for nine computer-simulated tasks of everyday cognition and five traditional neuropsychological tests. The nine simulated everyday memory tests were from the Memory Assessment Clinic battery as follows: (1) simple reaction time while driving; (2) divided attention (driving…

A computer-based attention reduction model of training is presented, and associated issues related to instructional systems design are outlined. Attention reduction training (ART) is based on the dual task assessment procedure developed by researchers in the area of memory. The technique involves having subjects respond to two tasks…

In this paper the theory that human thinking proceeds according to the computer model, or symbol manipulation, is reviewed and challenged. The research used as subjects five highly rated tournament chess players who "thought aloud" during a chess game to provide tape recorded protocols of decisions made while playing. These protocols…

The third of four symposium papers argues that, if instructional methods are to improve learning, they must have two aspects: a direct trace to a specific learning process, and empirical support that demonstrates their significance. Focusing on the tracing process, the paper presents an information processing model of learning that can be used by…