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Conversational Agents and Natural Language Interaction: Techniques and Effective Practices
The successes of and challenges faced by researchers, designers, and programmers who want to use conversational agents for e-commerce, help desks, website navigation, personalized service, and training or education applications are discussed. Expand
A Study on the Possibility of Automatically Estimating the Confidence Value of Students' Knowledge in Generated Conceptual Models
A new metric is proposed to automatically evaluate the confidence that a student knows a certain concept included in his or her conceptual model so that teachers and students can instantly see which concepts have already been assimilated and which ones should still be reviewed. Expand
Computer-assisted assessment of free-text answers
A review of the state-of-art of the field is presented, focusing on the techniques that underpin these systems and their evaluation metrics. Expand
Automatic Generation of Students' Conceptual Models from Answers in Plain Text
Recently, we have introduced a new procedure to automatically generate students' conceptual models to assist teachers in finding out their students' main misconceptions and lack of concepts, fromExpand
Showing Automatically Generated Students' Conceptual Models to Students and Teachers
The research reported in this paper focuses on studying the effects of showing automatically generated models to students and teachers and the e-assessment system used was the Will Tools suite. Expand
Willow: Automatic and Adaptive Assessment of Students' Free-text Answers
This work has been sponsored by Spanish Ministry of Science and Technology, project number TIN2004-0314.
An exploratory study on how children interact with pedagogic conversational agents
It is explored with the help of a field experiment, for the first time, how these factors can affect the interaction of children with PCAs, and their opinions according to an anonymous and voluntary opinion questionnaire and some personal interviews. Expand
Extending Computer Assisted Assessment Systems with Natural Language Processing, User Modeling, and Recommendations Based on Human Computer Interaction and Data Mining
The benefits coming from extending Willow with recommendations are discussed, the overall system functionality, the interaction among the different subsystems involved and some evaluation findings are presented. Expand
Willow: a system to automatically assess students’ free-text answers by using a combination of shallow NLP techniques
A new approach to automatically assessing students’ short free-text answers by using a combination of shallow NLP techniques such as stemming, removal of closed-class words, word sense disambiguation or multiword term identification is presented. Expand
Enhancing a Free-Text Adaptive Computer Assisted Assessment System with Self-Assessment Features
Self-assessment features in Willow, a Web-based application which automatically and adaptively assesses students' free-text answers written in Spanish and English, are introduced to help students review concepts outside of class. Expand