Titlebook: Intelligent and Adaptive Educational-Learning Systems; Achievements and Tre Alejandro Peña-Ayala Book 2013 The Editor(s) (if applicable) an

RADE

Real Classrooms in Virtual Worlds: Scaffolding Interdisciplinary Collaborative Writingrtual worlds to facilitate writing. Second Life (SL), a three-dimensional virtual world created entirely by its residents, afforded students the ability to quickly and collaboratively model scientific processes. The inherent social nature of this virtual space served as an effective mode of fosterin

2否定

TAP

PET-scan

CELTS: A Cognitive Tutoring Agent with Human-Like Learning Capabilities and Emotionss interactions with learners to continuously improve the assistance it provides. Until now, the learning capabilities of tutoring agents in educational technologies have been generally very limited. In this chapter, we address this challenge with Conscious-Emotional-Learning Tutoring System (CELTS),

虚构的东西

Incorporation of Agent Prompts as Scaffolding of Reflection in an Intelligent Learning Environmentonsensus on the most effective ways to design scaffolding to prompt reflection, nor have they accepted a common mechanism that can explain the effects of scaffolding on reflection. Two types of agent prompts to foster reflection are contrasted in this chapter, both from the perspective of a tutee, d

同谋

instate

Host142

dominant

Exploiting Learner Models Using Data Mining for E-Learning: A Rule Based Approachumed by instructors or learning object designers of e-learning units. Instructors who need to attribute certain tasks to a huge group of online learners may not be capable of monitoring all factors influencing the appropriateness of all learner-task associations. Learning paths in LMS to which instr

convulsion

Performance Evaluation of Decision-Based Content Selection Approaches in Adaptive Educational Hypermted framework for evaluating their performance. In this chapter, we discuss a set of performance evaluation metrics that have been proposed by the literature for validating the use of decision-based approaches in adaptive LO selection in AEHS and assess the use of these metrics in the case of our pr