Maria Virvou - Academia.edu (original) (raw)
Papers by Maria Virvou
SpringerPlus, Mar 5, 2013
Informatics in education, Oct 13, 2014
SpringerPlus, Aug 15, 2013
Intelligent Decision Technologies
Among the primary aims of Artificial Intelligence (AI) is the enhancement of User Experience (UX)... more Among the primary aims of Artificial Intelligence (AI) is the enhancement of User Experience (UX) by providing deep understanding, profound empathy, tailored assistance, useful recommendations, and natural communication with human interactants while they are achieving their goals through computer use. To this end, AI is used in varying techniques to automate sophisticated functions in UX and thereby changing what UX is apprehended by the users. This is achieved through the development of intelligent interactive systems such as virtual assistants, recommender systems, and intelligent tutoring systems. The changes are well received, as technological achievements but create new challenges of trust, explainability and usability to humans, which in turn need to be amended by further advancements of AI in reciprocity. AI can be utilised to enhance the UX of a system while the quality of the UX can influence the effectiveness of AI. The state of the art in AI for UX is constantly evolving,...
International journal for e-learning security, Mar 1, 2011
Smart Innovation, Systems and Technologies, 2015
US-China education review, Jul 30, 2010
Proceedings IEEE International Conference on Advanced Learning Technologies
Informatics in education, Oct 13, 2014
Proceedings of the 1st International Workshop on Future Internet Applications for Traffic Surveillance and Management, 2011
SpringerPlus, Aug 15, 2013
Journal of Internet Technology and Secured Transaction, Jun 1, 2012
Smart Innovation, Systems and Technologies, 2015
Advances in Social Networking-based Learning, 2020
Computer-Supported Collaborative learning deals with the interaction between learners towards wor... more Computer-Supported Collaborative learning deals with the interaction between learners towards working within groups and how collaboration and technology facilitate the sharing and distribution of knowledge among them. This chapter describes the core aspects of computer-supported collaborative learning and presents a machine learning-based hybrid model for win-win collaboration between students which is incorporated in the social networking-based language learning system, called POLYGLOT, which makes adaptive recommendations to students. The recommendation for collaboration concerns two situations. The first situation concerns two students having complementary knowledge, namely student 1 has a high knowledge level on concept A but poor knowledge level on concept B and student 2 has a high knowledge level on concept B but poor knowledge level on concept A. In the second situation, student 1 holds a misconception on A but not B while student 2 holds a misconception on B but not A. This rationale can enhance students in the learning process and ameliorate the degrees of knowledge acquisition and knowledge restitution.
Advances in Social Networking-based Learning, 2020
Computer-Supported Collaborative learning deals with the interaction between learners towards wor... more Computer-Supported Collaborative learning deals with the interaction between learners towards working within groups and how collaboration and technology facilitate the sharing and distribution of knowledge among them. This chapter describes the core aspects of computer-supported collaborative learning and presents a machine learning-based hybrid model for win-win collaboration between students which is incorporated in the social networking-based language learning system, called POLYGLOT, which makes adaptive recommendations to students. The recommendation for collaboration concerns two situations. The first situation concerns two students having complementary knowledge, namely student 1 has a high knowledge level on concept A but poor knowledge level on concept B and student 2 has a high knowledge level on concept B but poor knowledge level on concept A. In the second situation, student 1 holds a misconception on A but not B while student 2 holds a misconception on B but not A. This rationale can enhance students in the learning process and ameliorate the degrees of knowledge acquisition and knowledge restitution.
International Journal for e-Learning Security, 2011
International Journal for e-Learning Security, 2011
Journal of Computer Assisted Learning, 2018
Social networks have intruded in human life by providing new technological innovations in a range... more Social networks have intruded in human life by providing new technological innovations in a range of fields, including the education. The use of social networks in education has the potential to extend e‐learning and to introduce new forms of tutoring, communication, and collaboration between students and instructors. Thus, e‐learning is the threshold of Social Networking‐based Learning (SN‐Learning). SN‐Learning consists of a new term, introduced in this paper, and involves e‐learning systems with social networking characteristics or learning through social networking platforms. To this direction, the main objective of this paper is to present this new technological advancement emerged nowadays and to evaluate relevant applications of the last decade using our adjusted evaluation framework, EV‐SNL, in order to highlight their strengths and weaknesses regarding digital learning. The major finding is that SN‐Learning systems focus mainly on the incorporation of social features and do...
Journal of Computer Assisted Learning, 2018
Social networks have intruded in human life by providing new technological innovations in a range... more Social networks have intruded in human life by providing new technological innovations in a range of fields, including the education. The use of social networks in education has the potential to extend e‐learning and to introduce new forms of tutoring, communication, and collaboration between students and instructors. Thus, e‐learning is the threshold of Social Networking‐based Learning (SN‐Learning). SN‐Learning consists of a new term, introduced in this paper, and involves e‐learning systems with social networking characteristics or learning through social networking platforms. To this direction, the main objective of this paper is to present this new technological advancement emerged nowadays and to evaluate relevant applications of the last decade using our adjusted evaluation framework, EV‐SNL, in order to highlight their strengths and weaknesses regarding digital learning. The major finding is that SN‐Learning systems focus mainly on the incorporation of social features and do...
INFORMATICS IN EDUCATION, 2016
SpringerPlus, Mar 5, 2013
Informatics in education, Oct 13, 2014
SpringerPlus, Aug 15, 2013
Intelligent Decision Technologies
Among the primary aims of Artificial Intelligence (AI) is the enhancement of User Experience (UX)... more Among the primary aims of Artificial Intelligence (AI) is the enhancement of User Experience (UX) by providing deep understanding, profound empathy, tailored assistance, useful recommendations, and natural communication with human interactants while they are achieving their goals through computer use. To this end, AI is used in varying techniques to automate sophisticated functions in UX and thereby changing what UX is apprehended by the users. This is achieved through the development of intelligent interactive systems such as virtual assistants, recommender systems, and intelligent tutoring systems. The changes are well received, as technological achievements but create new challenges of trust, explainability and usability to humans, which in turn need to be amended by further advancements of AI in reciprocity. AI can be utilised to enhance the UX of a system while the quality of the UX can influence the effectiveness of AI. The state of the art in AI for UX is constantly evolving,...
International journal for e-learning security, Mar 1, 2011
Smart Innovation, Systems and Technologies, 2015
US-China education review, Jul 30, 2010
Proceedings IEEE International Conference on Advanced Learning Technologies
Informatics in education, Oct 13, 2014
Proceedings of the 1st International Workshop on Future Internet Applications for Traffic Surveillance and Management, 2011
SpringerPlus, Aug 15, 2013
Journal of Internet Technology and Secured Transaction, Jun 1, 2012
Smart Innovation, Systems and Technologies, 2015
Advances in Social Networking-based Learning, 2020
Computer-Supported Collaborative learning deals with the interaction between learners towards wor... more Computer-Supported Collaborative learning deals with the interaction between learners towards working within groups and how collaboration and technology facilitate the sharing and distribution of knowledge among them. This chapter describes the core aspects of computer-supported collaborative learning and presents a machine learning-based hybrid model for win-win collaboration between students which is incorporated in the social networking-based language learning system, called POLYGLOT, which makes adaptive recommendations to students. The recommendation for collaboration concerns two situations. The first situation concerns two students having complementary knowledge, namely student 1 has a high knowledge level on concept A but poor knowledge level on concept B and student 2 has a high knowledge level on concept B but poor knowledge level on concept A. In the second situation, student 1 holds a misconception on A but not B while student 2 holds a misconception on B but not A. This rationale can enhance students in the learning process and ameliorate the degrees of knowledge acquisition and knowledge restitution.
Advances in Social Networking-based Learning, 2020
Computer-Supported Collaborative learning deals with the interaction between learners towards wor... more Computer-Supported Collaborative learning deals with the interaction between learners towards working within groups and how collaboration and technology facilitate the sharing and distribution of knowledge among them. This chapter describes the core aspects of computer-supported collaborative learning and presents a machine learning-based hybrid model for win-win collaboration between students which is incorporated in the social networking-based language learning system, called POLYGLOT, which makes adaptive recommendations to students. The recommendation for collaboration concerns two situations. The first situation concerns two students having complementary knowledge, namely student 1 has a high knowledge level on concept A but poor knowledge level on concept B and student 2 has a high knowledge level on concept B but poor knowledge level on concept A. In the second situation, student 1 holds a misconception on A but not B while student 2 holds a misconception on B but not A. This rationale can enhance students in the learning process and ameliorate the degrees of knowledge acquisition and knowledge restitution.
International Journal for e-Learning Security, 2011
International Journal for e-Learning Security, 2011
Journal of Computer Assisted Learning, 2018
Social networks have intruded in human life by providing new technological innovations in a range... more Social networks have intruded in human life by providing new technological innovations in a range of fields, including the education. The use of social networks in education has the potential to extend e‐learning and to introduce new forms of tutoring, communication, and collaboration between students and instructors. Thus, e‐learning is the threshold of Social Networking‐based Learning (SN‐Learning). SN‐Learning consists of a new term, introduced in this paper, and involves e‐learning systems with social networking characteristics or learning through social networking platforms. To this direction, the main objective of this paper is to present this new technological advancement emerged nowadays and to evaluate relevant applications of the last decade using our adjusted evaluation framework, EV‐SNL, in order to highlight their strengths and weaknesses regarding digital learning. The major finding is that SN‐Learning systems focus mainly on the incorporation of social features and do...
Journal of Computer Assisted Learning, 2018
Social networks have intruded in human life by providing new technological innovations in a range... more Social networks have intruded in human life by providing new technological innovations in a range of fields, including the education. The use of social networks in education has the potential to extend e‐learning and to introduce new forms of tutoring, communication, and collaboration between students and instructors. Thus, e‐learning is the threshold of Social Networking‐based Learning (SN‐Learning). SN‐Learning consists of a new term, introduced in this paper, and involves e‐learning systems with social networking characteristics or learning through social networking platforms. To this direction, the main objective of this paper is to present this new technological advancement emerged nowadays and to evaluate relevant applications of the last decade using our adjusted evaluation framework, EV‐SNL, in order to highlight their strengths and weaknesses regarding digital learning. The major finding is that SN‐Learning systems focus mainly on the incorporation of social features and do...
INFORMATICS IN EDUCATION, 2016