Evaluating the Effectiveness of Personalised Recommender Systems in Learning Networks

نویسندگان

  • Hendrik Drachsler
  • Hans Hummel
  • Bert van den Berg
  • Jannes Eshuis
  • Wim Waterink
  • Rob Nadolski
  • Adriana Berlanga
  • Nanda Boers
  • Rob Koper
چکیده

In view of the professional development concept, learning can no longer be considered to be part of childhood and youth alone, but is becoming a lifelong achievement. Professional development no longer remains limited to the context of a regular school or university campus, but is becoming integrated into workplace learning and personal development, where formal and informal learning activities are intertwined. Professionals find themselves placed at centre-stage, which means that no longer a teacher or teaching institute is responsible for the learning process but that they now are responsible for their own learning processes (Longworth 2003; Shuell 1992). Taking up on this responsibility, professionals need to become selfdirected (Brockett and Hiemstra 1991), and might be performing different learning activities in different contexts at the same time. On the one hand learners are becoming free to decide what, when, where and how they want to learn, and on the other hand they are forced to be responsible for their own professional competence development.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Merging Similarity and Trust Based Social Networks to Enhance the Accuracy of Trust-Aware Recommender Systems

In recent years, collaborative filtering (CF) methods are important and widely accepted techniques are available for recommender systems. One of these techniques is user based that produces useful recommendations based on the similarity by the ratings of likeminded users. However, these systems suffer from several inherent shortcomings such as data sparsity and cold start problems. With the dev...

متن کامل

Improving Accuracy of Recommender Systems using Social Network Information and Longitudinal Data

The rapid development of technology, the Internet, and the development of electronic commerce have led to the emergence of recommender systems. These systems will assist the users in finding and selecting their desired items. The accuracy of the advice in recommender systems is one of the main challenges of these systems. Regarding the fuzzy systems capabilities in determining the borders of us...

متن کامل

Improving the performance of recommender systems in the face of the cold start problem by analyzing user behavior on social network

The goal of recommender system is to provide desired items for users. One of the main challenges affecting the performance of recommendation systems is the cold-start problem that is occurred as a result of lack of information about a user/item. In this article, first we will present an approach, uses social streams such as Twitter to create a behavioral profile, then user profiles are clusteri...

متن کامل

A Review of Spatial Factor Modeling Techniques in Recommending Point of Interest Using Location-based Social Network Information

The rapid growth of mobile phone technology and its combination with various technologies like GPS has added location context to social networks and has led to the formation of location-based social networks. In social networking sites, recommender systems are used to recommend points of interest (POIs) to users. Traditional recommender systems, such as film and book recommendations, have a lon...

متن کامل

A Link Prediction Method Based on Learning Automata in Social Networks

Nowadays, online social networks are considered as one of the most important emerging phenomena of human societies. In these networks, prediction of link by relying on the knowledge existing of the interaction between network actors provides an estimation of the probability of creation of a new relationship in future. A wide range of applications can be found for link prediction such as electro...

متن کامل

Effects of the ISIS Recommender System for Navigation Support in self-organised Learning Networks

The need to support users of the Internet with the selection of information is becoming more important. Learners in complex, self-organising Learning Networks have similar problems and need guidance to find and select most suitable learning activities, in order to attain their lifelong learning goals in the most efficient way. Several research questions regarding efficiency and effectiveness de...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2009