Towards an Intelligent Learning Management System Under Blended Learning. Trends, Profiles and Modeling Perspectives
Par : , ,Formats :
- Nombre de pages235
- PrésentationRelié
- FormatGrand Format
- Poids0.54 kg
- Dimensions16,2 cm × 24,3 cm × 2,1 cm
- ISBN978-3-319-02077-8
- EAN9783319020778
- Date de parution01/11/2013
- CollectionIntelligent Systems Reference
- ÉditeurSpringer Nature
Résumé
What are the key channels to change in blended instructional practice as they relate to the use of a learning management system (LMS)? What role LMS users' profiles play in facilitating change in practice ? Can we model users' quality of interaction (QoI) with LMS ? How inclusiveness and affectiveness could lead to a personalized intelligent LMS (iLMS)? If these questions sound intrinsic to you and to your own experience and circumstance, then this book fits absolutely to you.
Here, the term Blended - viewed as a fuzzy concept - is understood as a stepping-stone on the way to the future, to explain the multiple ways human beings think/act/feel of society in the twentyfirst century and to embrace the opportunity of humans to re/co-construct new knowledge through the intermediation role of the technology. lnitiall ,based on an online learning environment' theoretical framework, some current issues of the educational processes in the digital age of Web 2.0 are analyzed Then, after exploring the main methodological procedures, characteristic examples of research case studies follow, including LMS users' trends and profiles and modeling of their QoI using fuzzy logic.
.
Here, the term Blended - viewed as a fuzzy concept - is understood as a stepping-stone on the way to the future, to explain the multiple ways human beings think/act/feel of society in the twentyfirst century and to embrace the opportunity of humans to re/co-construct new knowledge through the intermediation role of the technology. lnitiall ,based on an online learning environment' theoretical framework, some current issues of the educational processes in the digital age of Web 2.0 are analyzed Then, after exploring the main methodological procedures, characteristic examples of research case studies follow, including LMS users' trends and profiles and modeling of their QoI using fuzzy logic.
.
What are the key channels to change in blended instructional practice as they relate to the use of a learning management system (LMS)? What role LMS users' profiles play in facilitating change in practice ? Can we model users' quality of interaction (QoI) with LMS ? How inclusiveness and affectiveness could lead to a personalized intelligent LMS (iLMS)? If these questions sound intrinsic to you and to your own experience and circumstance, then this book fits absolutely to you.
Here, the term Blended - viewed as a fuzzy concept - is understood as a stepping-stone on the way to the future, to explain the multiple ways human beings think/act/feel of society in the twentyfirst century and to embrace the opportunity of humans to re/co-construct new knowledge through the intermediation role of the technology. lnitiall ,based on an online learning environment' theoretical framework, some current issues of the educational processes in the digital age of Web 2.0 are analyzed Then, after exploring the main methodological procedures, characteristic examples of research case studies follow, including LMS users' trends and profiles and modeling of their QoI using fuzzy logic.
.
Here, the term Blended - viewed as a fuzzy concept - is understood as a stepping-stone on the way to the future, to explain the multiple ways human beings think/act/feel of society in the twentyfirst century and to embrace the opportunity of humans to re/co-construct new knowledge through the intermediation role of the technology. lnitiall ,based on an online learning environment' theoretical framework, some current issues of the educational processes in the digital age of Web 2.0 are analyzed Then, after exploring the main methodological procedures, characteristic examples of research case studies follow, including LMS users' trends and profiles and modeling of their QoI using fuzzy logic.
.