text: IEEE Xplore Abstract - E-learning Indicators Approach to Developing E-learning Software Solutions
  EUROCON, 2007. The Internatio ... E-learning Indicators Approach to Developing E-learning Software Solutions
  2 Author(s) Fetaji, B.
  ; South East Eur. Univ., Tetovo
  ; Fetaji, M.
  The research is proposing a new way of tackling the process of creation of e-learning solutions as interactive environments by integrating and undertaking the software engineering approach based on e-learning indicators. The study proposes and recommends as starting point in any e-learning initiative assessment, measurement and evaluation of concepts and factors that influence e-learning further represented as e-learning indicators. The main research was focused towards software engineering 3 (three) different e-learning interactive environments based on e-learning indicators approach taking into consideration theories of learning and pedagogical approach in their development. The main focus was set on assessing and evaluating the e-learning indicators and based on them designing and building the e-learning software solutions. In order to further analyze issues and propose solutions several e-learning software solutions are designed and build and further analyzed as case study experiments. Also a methodology for evaluation of the e-learning effectiveness is also proposed and assessed. This research makes several contributions: First it proposes a new development methodology called e-learning indicators methodology approach to creation of e-learning software solutions. Secondly it proposes an assessment and evaluation novel methodology called ELUAT (E-learning Usability Attributes Testing) and as measuring instrument the PET (predefined evaluation tasks) inspection technique and gives insights and evaluation of their usage. Thirdly it investigates different learning approaches: 1) the content-oriented, 2) the tool-oriented, and the 3) task-oriented approach and analyses of these models in supporting: project, problem and task based learning.