Computers In Human Behavior

Many studies conducted in a laboratory or university setting are limited by funding, personnel, space, and time constraints. In the present study, we introduce a method of data collection using a mobile application that circumvents these typical experiment administration issues. Using the application, we examined cross-sectional age differences in cognitive function. We obtained data from more than 15,000 participants and replicated specific patterns of age-related differences in cognition. Using a subset of these ...

ABSTRACT Motivation is a very important factor for successful instruction. This factor is especially relevant in collaborative learning contexts, where social interaction plays an important role. In this paper we present an evaluation of motivation in 139 students who were instructed under four pedagogical approaches: traditional lecture, collaborative learning, collaborative learning guided by CIF (an instructional framework for collaborative learning), and collaborative learning guided by CIF and supported by MoCAS (a collaborative learning tool). We considered the four dimensions of motivation according to self-determination theory. The statistical results show that, in global terms, students were more motivated by jointly using the collaborative instructional approach CIF and the MoCAS tool than by using a collaborative approach. Detailed analysis of the different kinds of motivation yields mixed results. Students who were instructed with CIF and especially those students instructed with CIF and MoCAS exhibited higher intrinsic motivation. Furthermore, students instructed with CIF and MoCAS were the most extrinsically motivated via identified regulation. With respect to extrinsic motivation via external regulation, students instructed in a traditional, individual way were more motivated than students instructed collaboratively. Finally, high levels of amotivation were also associated to instruction using CIF and MoCAS. In summary, our results suggest that CIF and MoCAS are associated with high levels of intrinsic and extrinsic motivation, a finding that can aid in improving the learning processes, but they are also, unexpectedly, associated with amotivation, suggesting an overall increase in activation in the students who show mixed motivators.

As online communication is more and more integrated in everyday life to support and maintain existing social ties, this study examined the factors associated with preference of face to face, phone or online conversations. A contextual framework that emphasizes the role of relationship origin, relationship intensity and content of communication on communication channel choice among adolescents was empirically tested. Based on a nationwide survey in Israel, it was found that communication content, relationship origin ...

The development of learner models takes an active part in upcoming adaptive learning environments. The purpose of learner models is to drive personalization based on learner and learning characteristics that are considered as important for the learning process, such as cognitive, affective and behavioral variables. Despite the huge amount of theoretical propositions of learner characteristics considered as relevant for learner models, practical payoffs are rather sparse. This study aims to overview the empirical research on the mere value of learner models in the development of adaptive learning environments. The results show that a lot of high-quality studies are situated in a rather shattered research field, building few bridges from theory to practice. We conclude with the call for a theory or framework integrating current and past research results that is able to guide theory-based and systematic empirical research having concrete hypotheses on the merits of learner characteristics in adaptive learning environments.

Computers have a direct impact on our lives nowadays. Human's interaction with the computer has modified with the passage of time as improvement in technology occurred the better the human computer interaction became. Today we are facilitated by the operating system that has reduced all the complexity of hardware and we undergo our computation in a very convenient way irrespective of the process occurring at the hardware level. Though the human computer interaction has improved but it's not done yet. If we come to the future the computer's role in our lives would be a lot more rather our life would be of the artificial intelligence. In our future the biggest resource would be component of time and wasting time for a key board entry or a mouse input would be unbearable so the need would be of the computer interaction environment that along with the complexity reduction also minimizes the time wastage in the human computer interaction. Accordingly in our future the computation would also be increased it would not be a simple operating system limited to a computer it would be computers managing our entire life activities hence fall out of domain of present computers electronic based architecture .In this research paper we propose a model that shall be meeting the future human computer interaction needs possessing linguistic human computer interference environment based on surface technology, automation and photonic computing, which would be reliable, efficient and quicker satisfying all the future artificial intelligence pre requisites.