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Akrivi Krouska
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2020 – today
- 2024
- [j37]Nikolaos Sergis, Christos Troussas
, Akrivi Krouska
ADHD Dog: A Virtual Reality Intervention Incorporating Behavioral and Sociocultural Theories with Gamification for Enhanced Regulation in Individuals with Attention Deficit Hyperactivity Disorder. Comput. 13(2): 46 (2024) - [j36]Akrivi Krouska
An Empirical Investigation of User Acceptance of Personalized Mobile Software for Sustainability Education. Int. J. Hum. Comput. Interact. 40(19): 5876-5883 (2024) - [j35]Andreas Marougkas
How personalized and effective is immersive virtual reality in education? A systematic literature review for the last decade. Multim. Tools Appl. 83(6): 18185-18233 (2024) - [c55]Akrivi Krouska, Christos Troussas, Phivos Mylonas, Cleo Sgouropoulou:
Analysing the Effectiveness of a Social Digital Repository for Learning and Teaching: A Fuzzy Comprehensive Evaluation. ENASE 2024: 777-783 - [c54]Christos Papakostas
A Rule-Based Chatbot Offering Personalized Guidance in Computer Programming Education. ITS (2) 2024: 253-264 - 2023
- [j34]Christos Troussas
Harnessing the Power of User-Centric Artificial Intelligence: Customized Recommendations and Personalization in Hybrid Recommender Systems. Comput. 12(5): 109 (2023) - [j33]Christos Papakostas, Christos Troussas, Akrivi Krouska, Cleo Sgouropoulou:
PARSAT: Fuzzy logic for adaptive spatial ability training in an augmented reality system. Comput. Sci. Inf. Syst. 20(4): 1389-1417 (2023) - [j32]Christos Papakostas
Exploring Users' Behavioral Intention to Adopt Mobile Augmented Reality in Education through an Extended Technology Acceptance Model. Int. J. Hum. Comput. Interact. 39(6): 1294-1302 (2023) - [j31]Christos Troussas
Path-Based Recommender System for Learning Activities Using Knowledge Graphs. Inf. 14(1): 9 (2023) - [j30]Christos Troussas
Enhancing Personalized Educational Content Recommendation through Cosine Similarity-Based Knowledge Graphs and Contextual Signals. Inf. 14(9): 505 (2023) - [j29]Filippos Giannakas
Blending cybersecurity education with IoT devices: A u-Learning scenario for introducing the man-in-the-middle attack. Inf. Secur. J. A Glob. Perspect. 32(5): 371-382 (2023) - [j28]Christos Troussas, Akrivi Krouska
A multilayer inference engine for individualized tutoring model: adapting learning material and its granularity. Neural Comput. Appl. 35(1): 61-75 (2023) - [j27]Akrivi Krouska
A novel group recommender system for domain-independent decision support customizing a grouping genetic algorithm. User Model. User Adapt. Interact. 33(5): 1113-1140 (2023) - [c53]Christos Troussas
Personalized Feedback Enhanced by Natural Language Processing in Intelligent Tutoring Systems. ITS 2023: 667-677 - [c52]Panagiotis Strousopoulos
Revolutionizing Agricultural Education with Virtual Reality and Gamification: A Novel Approach for Enhancing Knowledge Transfer and Skill Acquisition. NiDS (2) 2023: 67-80 - [c51]Chrysa Fraggista, Akrivi Krouska
Exploring the Use of Augmented Reality in Teaching History to Students with Attention-Deficit Hyperactivity Disorder. NiDS (1) 2023: 201-214 - [c50]Andreas Marougkas, Christos Troussas, Akrivi Krouska, Cleo Sgouropoulou:
Crafting Immersive Experiences: A Multi-Layered Conceptual Framework for Personalized and Gamified Virtual Reality Applications in Education. NiDS (1) 2023: 230-241 - [c49]Andrianthi Kapetanaki
Augmented Reality for Enhancing Linguistic Skills of International Students in Preschool Education. NiDS (1) 2023: 242-249 - [c48]Akrivi Krouska, Christos Troussas, Yorghos Voutos, Phivos Mylonas, Cleo Sgouropoulou:
Optimizing Player Engagement in an Educational Virtual Game through Fuzzy Logic-based Challenge Adaptation. SEEDA-CECNSM 2023: 1-6 - [c47]Panagiotis Strousopoulos
Integrating Stereotype User Models for Adaptive Scenarios in Game Playing within Immersive Virtual Environments. SMAP 2023: 1-6 - [c46]Christos Troussas, Akrivi Krouska, Phivos Mylonas, Cleo Sgouropoulou:
Personalized Learner Assistance Through Dynamic Adaptation of Chatbot Using Fuzzy Logic Knowledge Modeling. SMAP 2023: 1-5 - [c45]Panagiotis Strousopoulos
SculptMate: Personalizing cultural heritage experience using fuzzy weights. UMAP (Adjunct Publication) 2023: 397-407 - [e1]Akrivi Krouska, Christos Troussas
Novel & Intelligent Digital Systems: Proceedings of the 2nd International Conference, NiDS 2022, Athens, Greece, 29-30 September 2022. Lecture Notes in Networks and Systems 556, Springer 2023, ISBN 978-3-031-17600-5 [contents] - 2022
- [j26]Christos Troussas
Enriching Mobile Learning Software with Interactive Activities and Motivational Feedback for Advancing Users' High-Level Cognitive Skills. Comput. 11(2): 18 (2022) - [j25]Iro Athina Valagkouti, Christos Troussas
Emotion Recognition in Human-Robot Interaction Using the NAO Robot. Comput. 11(5): 72 (2022) - [j24]Andrianthi Kapetanaki
Exploiting Augmented Reality Technology in Special Education: A Systematic Review. Comput. 11(10): 143 (2022) - [j23]Akrivi Krouska
Mobile game-based learning as a solution in COVID-19 era: Modeling the pedagogical affordance and student interactions. Educ. Inf. Technol. 27(1): 229-241 (2022) - [j22]Christos Papakostas
User acceptance of augmented reality welding simulator in engineering training. Educ. Inf. Technol. 27(1): 791-817 (2022) - [j21]Filippos Giannakas
Multi-technique comparative analysis of machine learning algorithms for improving the prediction of teams' performance. Educ. Inf. Technol. 27(6): 8461-8487 (2022) - [j20]Akrivi Krouska, Christos Troussas, Athanasios Voulodimos, Cleo Sgouropoulou:
A 2-tier fuzzy control system for grade adjustment based on students' social interactions. Expert Syst. Appl. 203: 117503 (2022) - [j19]Akrivi Krouska
Personalizing Environmental Awareness through Smartphones Using AHP and PROMETHEE II. Future Internet 14(2): 66 (2022) - [j18]Christos Troussas, Akrivi Krouska, Katerina Kabassi, Cleo Sgouropoulou, Alexandra I. Cristea
Editorial: Artificial intelligence techniques for personalized educational software. Frontiers Artif. Intell. 5 (2022) - [j17]Christos Papakostas
Personalization of the Learning Path within an Augmented Reality Spatial Ability Training Application Based on Fuzzy Weights. Sensors 22(18): 7059 (2022) - [c44]Christos Troussas
Double-Layer Controller for Detecting Learners' Erroneous Knowledge in Database Programming. ITS 2022: 204-212 - [c43]Nicholas Coulianos
Evaluating E-Learning Process on Virtual Classroom Systems Using an ISO-Based Model. NiDS 2022: 33-45 - [c42]Akrivi Krouska
Extended Technology Acceptance Models for Digital Learning: Review of External Factors. NiDS 2022: 52-63 - [c41]Andreas Marougkas
Virtual Reality in Education: Reviewing Different Technological Approaches and Their Implementations. NiDS 2022: 77-83 - [c40]Christos Troussas
Employing FFNN and Learning Styles to Improve Knowledge Acquisition in Educational Digital Games. NiDS 2022: 95-103 - [c39]Christos Papakostas, Christos Troussas, Akrivi Krouska, Cleo Sgouropoulou:
Modeling the Knowledge of Users in an Augmented Reality-Based Learning Environment Using Fuzzy Logic. NiDS 2022: 113-123 - [c38]Argyris Sideris, Christos Troussas, Akrivi Krouska, Cleo Sgouropoulou:
A 2D Platform Game Offering Personalized Guidance to Players to Promote Environmental Awareness. NiDS 2022: 134-146 - [c37]Andrianthi Kapetanaki
Analyzing the impact and application of Augmented Reality in Education: The case of students with special educational needs. PCI 2022: 240-245 - [c36]Antonios Koliarakis, Akrivi Krouska, Christos Troussas, Cleo Sgouropoulou:
Modified collaborative filtering for hybrid recommender systems and personalized search: The case of digital library. SMAP 2022: 1-6 - 2021
- [j16]Christos Troussas, Akrivi Krouska, Cleo Sgouropoulou
Enhancing Human-Computer Interaction in Digital Repositories through a MCDA-Based Recommender System. Adv. Hum. Comput. Interact. 2021: 7213246:1-7213246:7 (2021) - [j15]Akrivi Krouska
A Cognitive Diagnostic Module Based on the Repair Theory for a Personalized User Experience in E-Learning Software. Comput. 10(11): 140 (2021) - [j14]Christos Troussas
Impact of social networking for advancing learners' knowledge in E-learning environments. Educ. Inf. Technol. 26(4): 4285-4305 (2021) - [j13]Christos Troussas
Improving Learner-Computer Interaction through Intelligent Learning Material Delivery Using Instructional Design Modeling. Entropy 23(6): 668 (2021) - [j12]Christos Papakostas, Christos Troussas, Akrivi Krouska, Cleo Sgouropoulou
Exploration of Augmented Reality in Spatial Abilities Training: A Systematic Literature Review for the Last Decade. Informatics Educ. 20(1): 107-130 (2021) - [j11]Christos Papakostas
Measuring User Experience, Usability and Interactivity of a Personalized Mobile Augmented Reality Training System. Sensors 21(11): 3888 (2021) - [j10]Christos Troussas
A Novel Teaching Strategy Through Adaptive Learning Activities for Computer Programming. IEEE Trans. Educ. 64(2): 103-109 (2021) - [c35]Filippos Giannakas
XGBoost and Deep Neural Network Comparison: The Case of Teams' Performance. ITS 2021: 343-349 - [c34]Christos Troussas, Akrivi Krouska, Filippos Giannakas
Representation of Generalized Human Cognitive Abilities in a Sophisticated Student Leaderboard. ITS 2021: 398-405 - [c33]Christos Troussas, Akrivi Krouska, Filippos Giannakas
An Alternative Educational Tool Through Interactive Software over Facebook in the Era of COVID-19. NiDS 2021: 3-11 - [c32]Akrivi Krouska, Christos Troussas, Filippos Giannakas
Enhancing the Effectiveness of Intelligent Tutoring Systems Using Adaptation and Cognitive Diagnosis Modeling. NiDS 2021: 40-45 - [c31]Christos Papakostas, Christos Troussas, Akrivi Krouska, Cleo Sgouropoulou
On the Development of a Personalized Augmented Reality Spatial Ability Training Mobile Application. NiDS 2021: 75-83 - [c30]Andreas Marougkas
A Framework for Personalized Fully Immersive Virtual Reality Learning Environments with Gamified Design in Education. NiDS 2021: 95-104 - [c29]Andrianthi Kapetanaki, Akrivi Krouska, Christos Troussas, Cleo Sgouropoulou
A Novel Framework Incorporating Augmented Reality and Pedagogy for Improving Reading Comprehension in Special Education. NiDS 2021: 105-110 - [c28]Efstratios Kontellis, Christos Troussas, Akrivi Krouska, Cleo Sgouropoulou
Real-Time Face Mask Detector Using Convolutional Neural Networks Amidst COVID-19 Pandemic. NiDS 2021: 247-255 - [c27]Christos Troussas, Akrivi Krouska, Cleo Sgouropoulou:
A User-centric System for Improving Human-Computer Interaction through Fuzzy Logic-based Assistive Messages. WEBIST 2021: 365-370 - 2020
- [j9]Christos Troussas
Collaboration and fuzzy-modeled personalization for mobile game-based learning in higher education. Comput. Educ. 144 (2020) - [j8]Christos Troussas
Ensemble Learning Using Fuzzy Weights to Improve Learning Style Identification for Adapted Instructional Routines. Entropy 22(7): 735 (2020) - [j7]Christos Troussas
Intelligent and adaptive tutoring through a social network for higher education. New Rev. Hypermedia Multim. 26(3-4): 138-167 (2020) - [j6]Akrivi Krouska
An Enhanced Genetic Algorithm for Heterogeneous Group Formation Based on Multi-Characteristics in Social-Networking-Based Learning. IEEE Trans. Learn. Technol. 13(3): 465-476 (2020) - [c26]Akrivi Krouska, Christos Troussas, Cleo Sgouropoulou
A Personalized Brain-Based Quiz Game for Improving Students' Cognitive Functions. BFAL 2020: 102-106 - [c25]Christos Troussas, Akrivi Krouska, Cleo Sgouropoulou
Towards a Reference Model to Ensure the Quality of Massive Open Online Courses and E-Learning. BFAL 2020: 169-175 - [c24]Akrivi Krouska, Christos Troussas, Cleo Sgouropoulou
Applying Genetic Algorithms for Recommending Adequate Competitors in Mobile Game-Based Learning Environments. ITS 2020: 196-204 - [c23]Christos Troussas, Akrivi Krouska, Cleo Sgouropoulou
Dynamic Detection of Learning Modalities Using Fuzzy Logic in Students' Interaction Activities. ITS 2020: 205-213 - [c22]Christos Troussas, Akrivi Krouska, Filippos Giannakas
Automated reasoning of learners' cognitive states using classification analysis. PCI 2020: 103-106 - [c21]Akrivi Krouska, Christos Troussas, Cleo Sgouropoulou
Usability and Educational Affordance of Web 2.0 tools from Teachers' Perspectives. PCI 2020: 107-110 - [c20]Christos Troussas, Akrivi Krouska, Filippos Giannakas
Redesigning teaching strategies through an information filtering system. PCI 2020: 111-114 - [p2]Christos Troussas, Akrivi Krouska, Maria Virvou
Using a Multi Module Model for Learning Analytics to Predict Learners' Cognitive States and Provide Tailored Learning Pathways and Assessment. Machine Learning Paradigms 2020: 9-22
2010 – 2019
- 2019
- [b1]Akrivi Krouska:
A novel social network incorporating intelligent techniques for personalized collaborative learning in adult education. University of Piraeus, Greece, 2019 - [j5]Akrivi Krouska, Christos Troussas, Maria Virvou
A literature review of Social Networking- based Learning Systems using a novel ISO-based framework. Intell. Decis. Technol. 13(1): 23-39 (2019) - [j4]Akrivi Krouska, Christos Troussas, Maria Virvou:
Applying genetic algorithms for student grouping in collaborative learning: A synthetic literature review. Intell. Decis. Technol. 13(4): 395-406 (2019) - [j3]Christos Troussas
MACE: Mobile Artificial Conversational Entity for Adapting Domain Knowledge and Generating Personalized Advice. Int. J. Artif. Intell. Tools 28(4): 1940005:1-1940005:16 (2019) - [j2]Akrivi Krouska
SN-Learning: An exploratory study beyond e-learning and evaluation of its applications using EV-SNL framework. J. Comput. Assist. Learn. 35(2): 168-177 (2019) - [c19]Akrivi Krouska, Christos Troussas, Maria Virvou
Advancing Adult Online Education through a SN-Learning Environment. IISA 2019: 1-5 - [c18]Akrivi Krouska, Christos Troussas, Maria Virvou
Using Learning Analytics to Improve the Efficacy of Mobile Authoring Tools. IISA 2019: 1-5 - [c17]Christos Troussas, Akrivi Krouska, Maria Virvou
Adaptive e-learning interactions using dynamic clustering of learners' characteristics. IISA 2019: 1-7 - [c16]Christos Troussas, Akrivi Krouska, Maria Virvou
NLP-based error analysis and dynamic motivation techniques in mobile learning. IISA 2019: 1-8 - [c15]Christos Troussas, Akrivi Krouska, Maria Virvou
Injecting intelligence into learning management systems: The case of adaptive grain-size instruction. IISA 2019: 1-6 - [p1]Christos Troussas, Akrivi Krouska, Maria Virvou
Trends on Sentiment Analysis over Social Networks: Pre-processing Ramifications, Stand-Alone Classifiers and Ensemble Averaging. Machine Learning Paradigms 2019: 161-186 - 2018
- [c14]Christos Troussas, Akrivi Krouska, Maria Virvou
Multi-Algorithmic Techniques and a Hybrid Model for Increasing the Efficiency of Recommender Systems. ICTAI 2018: 184-188 - [c13]Akrivi Krouska, Christos Troussas, Maria Virvou
Social Annotation Tools in Digital Learning: A Literature Review. IISA 2018: 1-4 - [c12]Akrivi Krouska, Christos Troussas, Maria Virvou
Applying Skinnerian Conditioning for Shaping Skill Performance in Online Tutoring of Programming Languages. IISA 2018: 1-5 - [c11]Christos Troussas, Akrivi Krouska, Maria Virvou
A Multicriteria Framework for Assessing Sentiment Analysis in Social and Digital Learning: Software Review. IISA 2018: 1-7 - [c10]Christos Troussas, Akrivi Krouska, Maria Virvou
Using Hierarchical Modeling of Thinking Skills to Lead Students to Higher Order Cognition and Enhance Social E-Learning. IISA 2018: 1-5 - [c9]Akrivi Krouska, Christos Troussas, Maria Virvou
Computerized Adaptive Assessment Using Accumulative Learning Activities Based on Revised Bloom's Taxonomy. JCKBSE 2018: 252-258 - 2017
- [j1]Akrivi Krouska, Christos Troussas, Maria Virvou:
Comparative Evaluation of Algorithms for Sentiment Analysis over Social Networking Services. J. Univers. Comput. Sci. 23(8): 755-768 (2017) - [c8]Christos Troussas, Akrivi Krouska, Maria Virvou
Automatic Predictions Using LDA for Learning through Social Networking Services. ICTAI 2017: 747-751 - [c7]Christos Troussas, Akrivi Krouska, Maria Virvou
Integrating an Adjusted Conversational Agent into a Mobile-Assisted Language Learning Application. ICTAI 2017: 1153-1157 - [c6]Akrivi Krouska, Christos Troussas, Maria Virvou
Comparing LMS and CMS platforms supporting social e-learning in higher education. IISA 2017: 1-6 - [c5]Akrivi Krouska, Christos Troussas, Maria Virvou
Social networks as a learning environment: Developed applications and comparative analysis. IISA 2017: 1-6 - [c4]Christos Troussas, Akrivi Krouska, Maria Virvou
Social interaction through a mobile instant messaging application using geographic location for blended collaborative learning. IISA 2017: 1-5 - [c3]Christos Troussas, Akrivi Krouska, Maria Virvou
Reinforcement theory combined with a badge system to foster student's performance in e-learning environments. IISA 2017: 1-6 - 2016
- [c2]Akrivi Krouska, Christos Troussas, Maria Virvou
The effect of preprocessing techniques on Twitter sentiment analysis. IISA 2016: 1-5 - [c1]Christos Troussas, Akrivi Krouska, Maria Virvou
Evaluation of ensemble-based sentiment classifiers for Twitter data. IISA 2016: 1-6
Coauthor Index
[j37] [j36] [j35] [c55] [c54] [j34] [j33] [j32] [j29] [j27] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [j26] [j25] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [j17] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [j9] [j8] [c26] [c25] [c24] [c23] [c22] [c21] [c20]
[j37] [j36] [j35] [c55] [c54] [j34] [j33] [j32] [j31] [j30] [j29] [j28] [j27] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [e1] [j26] [j25] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [j17] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [j9] [j8] [j7] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [p2] [j5] [j4] [j3] [j2] [c19] [c18] [c17] [c16] [c15] [p1] [c14] [c13] [c12] [c11] [c10] [c9] [j1] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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last updated on 2024-10-23 21:27 CEST by the dblp team
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