Attainment Of Learning Goals Research Articles

Improved modeling of intelligent tutoring systems using ant colony optimization

Swarm intelligence approaches, such as ant colony optimization (ACO), are used in adaptive e-learning systems and provide an effective method for finding optimal learning paths based on self-organization. The aim of this paper is to develop an improved modeling of adaptive tutoring systems using ACO. In this model, the learning object is personalized based on learning and solving problem styles. The purposed algorithm, based on ACO, generates the adaptive optimal learning path. The algorithm describes an architecture which supports the recording, processing and presentation of collective learner behavior designed to create a feedback loop informing learners of successful paths towards the attainment of learning goals. The algorithm parameters are tuned dynamically to conform to the actual pedagogical process. The article includes the results of implementation and experiment represent this algorithm is able to provide its main purpose which is finding optimal learning paths based on learning styles and improved performance of previous adaptive tutoring systems.

Self-regulated learning in the workplace: strategies and factors in the attainment of learning goals

The research reported here is an exploratory qualitative study aimed at identifying professionals' self-regulatory strategies underpinning the planning and attainment of learning goals in the workplace and showing how a number of organizational factors affect these strategies. The rationale for the study is that existing research tells us little about how professionals regulate their learning, largely because much of the literature on the self-regulation of learning has been conducted with pupils and students in schools and universities rather than with professionals.

Self Organising Wayfinding Support for Lifelong Learners

Lifelong learning puts learner self-direction centre-stage. However, increased responsibility should not come at the price of over-burdening or abandonment of learners as they progress along their learning journey. This paper introduces an approach to wayfinding support for lifelong learners based on self-organisation theory. It describes an architecture which supports the recording, processing and presentation of collective learner behaviour designed to create a feedback loop informing learners of successful paths towards the attainment of learning goals. The approach is presented as an alternative to methods of achieving adaptation in hypermedia-based learning environments which involve learner modelling. The article concludes with a discussion of the questions being addressed in our ongoing research.

Feedback seeking in university human resource development education in the US, UK, and Singapore

This survey-based study centered on feedback seeking behaviors by students in twelve human resource development university courses in the US, UK, and Singapore. Based on previous research, the study differentiated among sources of feedback, and student and instructor behaviors and characteristics. The results of this study suggest that students sought feedback about attainment of learning goals quite frequently and from a variety of sources. Instructors tended to underestimate their own role and overestimate the contributions of course activities and materials in this process. Individual-level and instructor-related variables emerged as important predictors of feedback seeking behaviors. The implications of these findings for further research and the practice of human resource development education and training are discussed.