Akrivi Krouska

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The effect of preprocessing techniques on Twitter sentiment analysis

Maria Virvou, Christos Troussas, Akrivi Krouska, 2016, 2016 7th International Conference on Information, Intelligence, Systems & Applications (IISA).

Applying Genetic Algorithms for Recommending Adequate Competitors in Mobile Game-Based Learning Environments

Cleo Sgouropoulou, Christos Troussas, Akrivi Krouska, 2020, ITS.

Multi-Algorithmic Techniques and a Hybrid Model for Increasing the Efficiency of Recommender Systems

Maria Virvou, Christos Troussas, Akrivi Krouska, 2018, 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI).

A Personalized Brain-Based Quiz Game for Improving Students' Cognitive Functions

Cleo Sgouropoulou, Christos Troussas, Akrivi Krouska, 2020, BFAL.

NLP-based error analysis and dynamic motivation techniques in mobile learning

Maria Virvou, Christos Troussas, Akrivi Krouska, 2019, 2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA).

Computerized Adaptive Assessment Using Accumulative Learning Activities Based on Revised Bloom's Taxonomy

Maria Virvou, Christos Troussas, Akrivi Krouska, 2018, JCKBSE.

Trends on Sentiment Analysis over Social Networks: Pre-processing Ramifications, Stand-Alone Classifiers and Ensemble Averaging

Maria Virvou, Christos Troussas, Akrivi Krouska, 2019, Machine Learning Paradigms.

A literature review of Social Networking- based Learning Systems using a novel ISO-based framework

Maria Virvou, Christos Troussas, Akrivi Krouska, 2019, Intell. Decis. Technol..

Fuzzy Logic for Refining the Evaluation of Learners’ Performance in Online Engineering Education

Cleo Sgouropoulou, Christos Troussas, Akrivi Krouska, 2019, European Journal of Engineering Research and Science.

A Novel Teaching Strategy Through Adaptive Learning Activities for Computer Programming

Cleo Sgouropoulou, Christos Troussas, Akrivi Krouska, 2021, IEEE Transactions on Education.

SN-Learning: An exploratory study beyond e-learning and evaluation of its applications using EV-SNL framework

Maria Virvou, Christos Troussas, Akrivi Krouska, 2018, J. Comput. Assist. Learn..

Integrating an Adjusted Conversational Agent into a Mobile-Assisted Language Learning Application

Maria Virvou, Christos Troussas, Akrivi Krouska, 2017, 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI).

MACE: Mobile Artificial Conversational Entity for Adapting Domain Knowledge and Generating Personalized Advice

Maria Virvou, Christos Troussas, Akrivi Krouska, 2019, Int. J. Artif. Intell. Tools.

Comparing LMS and CMS platforms supporting social e-learning in higher education

Maria Virvou, Christos Troussas, Akrivi Krouska, 2017, 2017 8th International Conference on Information, Intelligence, Systems & Applications (IISA).

Social Annotation Tools in Digital Learning: A Literature Review

Maria Virvou, Christos Troussas, Akrivi Krouska, 2018, 2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA).

Deep Learning for Twitter Sentiment Analysis: The Effect of Pre-trained Word Embedding

Christos Troussas, Akrivi Krouska, Maria Virvou, 2020 .

Adaptive e-learning interactions using dynamic clustering of learners’ characteristics

Maria Virvou, Christos Troussas, Akrivi Krouska, 2019, 2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA).

Reinforcement theory combined with a badge system to foster student's performance in e-learning environments

Maria Virvou, Christos Troussas, Akrivi Krouska, 2017, 2017 8th International Conference on Information, Intelligence, Systems & Applications (IISA).

Automatic Predictions Using LDA for Learning through Social Networking Services

Maria Virvou, Christos Troussas, Akrivi Krouska, 2017, 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI).

Dynamic Detection of Learning Modalities Using Fuzzy Logic in Students' Interaction Activities

Cleo Sgouropoulou, Christos Troussas, Akrivi Krouska, 2020, ITS.

Comparative Evaluation of Algorithms for Sentiment Analysis over Social Networking Services

Maria Virvou, Christos Troussas, Akrivi Krouska, 2017, J. Univers. Comput. Sci..

Injecting intelligence into learning management systems: The case of adaptive grain-size instruction

Maria Virvou, Christos Troussas, Akrivi Krouska, 2019, 2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA).

Using Learning Analytics to Improve the Efficacy of Mobile Authoring Tools

Maria Virvou, Christos Troussas, Akrivi Krouska, 2019, 2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA).

An Enhanced Genetic Algorithm for Heterogeneous Group Formation Based on Multi-Characteristics in Social-Networking-Based Learning

Maria Virvou, Akrivi Krouska, M. Virvou, 2020, IEEE Transactions on Learning Technologies.

Applying genetic algorithms for student grouping in collaborative learning: A synthetic literature review

Maria Virvou, Christos Troussas, Akrivi Krouska, 2020, Intell. Decis. Technol..

Evaluation of ensemble-based sentiment classifiers for Twitter data

Maria Virvou, Christos Troussas, Akrivi Krouska, 2016, 2016 7th International Conference on Information, Intelligence, Systems & Applications (IISA).

Collaboration and fuzzy-modeled personalization for mobile game-based learning in higher education

Cleo Sgouropoulou, Christos Troussas, Akrivi Krouska, 2020, Comput. Educ..

Applying Skinnerian Conditioning for Shaping Skill Performance in Online Tutoring of Programming Languages

Maria Virvou, Christos Troussas, Akrivi Krouska, 2018, 2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA).

Using a Multi Module Model for Learning Analytics to Predict Learners' Cognitive States and Provide Tailored Learning Pathways and Assessment

Maria Virvou, Christos Troussas, Akrivi Krouska, 2020, Machine Learning Paradigms.

Ensemble Learning Using Fuzzy Weights to Improve Learning Style Identification for Adapted Instructional Routines

Cleo Sgouropoulou, Christos Troussas, Ioannis Voyiatzis, 2020, Entropy.

Social networks as a learning environment: Developed applications and comparative analysis

Maria Virvou, Christos Troussas, Akrivi Krouska, 2017, 2017 8th International Conference on Information, Intelligence, Systems & Applications (IISA).

Advancing Adult Online Education through a SN-Learning Environment

Maria Virvou, Christos Troussas, Akrivi Krouska, 2019, 2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA).

A novel social network incorporating intelligent techniques for personalized collaborative learning in adult education

Akrivi Krouska, Ακριβή Κρούσκα, 2019 .

A Multicriteria Framework for Assessing Sentiment Analysis in Social and Digital Learning: Software Review

Maria Virvou, Christos Troussas, Akrivi Krouska, 2018, 2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA).

Towards a Reference Model to Ensure the Quality of Massive Open Online Courses and E-Learning

Cleo Sgouropoulou, Christos Troussas, Akrivi Krouska, 2020, BFAL.

Social interaction through a mobile instant messaging application using geographic location for blended collaborative learning

Maria Virvou, Christos Troussas, Akrivi Krouska, 2017, 2017 8th International Conference on Information, Intelligence, Systems & Applications (IISA).

Using Hierarchical Modeling of Thinking Skills to Lead Students to Higher Order Cognition and Enhance Social E-Learning

Maria Virvou, Christos Troussas, Akrivi Krouska, 2018, 2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA).

Impact of social networking for advancing learners’ knowledge in E-learning environments

Cleo Sgouropoulou, Christos Troussas, Akrivi Krouska, 2021, Education and Information Technologies.

Measuring User Experience, Usability and Interactivity of a Personalized Mobile Augmented Reality Training System

Cleo Sgouropoulou, Christos Troussas, Akrivi Krouska, 2021, Sensors.

A multilayer inference engine for individualized tutoring model: adapting learning material and its granularity

Maria Virvou, Christos Troussas, Akrivi Krouska, 2021, Neural Computing and Applications.

A Novel Framework Incorporating Augmented Reality and Pedagogy for Improving Reading Comprehension in Special Education

Cleo Sgouropoulou, Christos Troussas, Akrivi Krouska, 2021, NiDS.

A Framework for Personalized Fully Immersive Virtual Reality Learning Environments with Gamified Design in Education

Cleo Sgouropoulou, Christos Troussas, Akrivi Krouska, 2021, NiDS.

User acceptance of augmented reality welding simulator in engineering training

Cleo Sgouropoulou, Christos Troussas, Akrivi Krouska, 2021, Education and Information Technologies.