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Christos Pierrakeas
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2020 – today
- 2024
- [i1]Lavrentia Aravani, Emmanuel Pintelas, Christos Pierrakeas
, Panagiotis Pintelas:
A Natural Language Processing Framework for Hotel Recommendation Based on Users' Text Reviews. CoRR abs/2408.00716 (2024) - 2023
- [c20]Paraskevi Galani, Christos Pierrakeas
The Use of ICT in Education Administration Concerning Principals of Greek Primary Schools. IISA 2023: 1-4 - [c19]Gerasimos Kalogeratos, Angeliki Alexandropoulou, Christos Pierrakeas
Digital and Socio Emotional Benefits of the Students and the Teachers from the Implementation of a Steam Education Project. IISA 2023: 1-8 - 2022
- [c18]Gerasimos Kalogeratos, Christos Pierrakeas
Knowledge and skills of the digital transformation of the Greek public school in the post covid era. IISA 2022: 1-7 - [c17]Ioannis Katsenos, Christos Pierrakeas
Hybrid team members appraisal criteria in feedback provided through collaborative work environment-An educational perspective. IISA 2022: 1-5 - 2021
- [j8]Georgios Kostopoulos
Interpretable Models for Early Prediction of Certification in MOOCs: A Case Study on a MOOC for Smart City Professionals. IEEE Access 9: 165881-165891 (2021) - 2020
- [p1]Christos Pierrakeas
The Variability of the Reasons for Student Dropout in Distance Learning and the Prediction of Dropout-Prone Students. Machine Learning Paradigms 2020: 91-111
2010 – 2019
- 2019
- [j7]Georgios Kostopoulos
A Semi-Supervised Regression Algorithm for Grade Prediction of Students in Distance Learning Courses. Int. J. Artif. Intell. Tools 28(4): 1940001:1-1940001:19 (2019) - [j6]Natalia D. Spyropoulou
Experience Gained From Applying a Team-Based Approach for MOOC Development. Int. J. Web Based Learn. Teach. Technol. 14(2): 15-30 (2019) - [c16]Panagiota Polymeropoulou
Implementing a MOOC course for Museum Professionals with a worldwide effect. IISA 2019: 1-8 - 2018
- [j5]George Kostopoulos, Sotiris Kotsiantis
Forecasting students' success in an open university. Int. J. Learn. Technol. 13(1): 26-43 (2018) - [c15]Maria Tsiakmaki, Georgios Kostopoulos, Giannis Koutsonikos, Christos Pierrakeas
Predicting University Students' Grades Based on Previous Academic Achievements. IISA 2018: 1-6 - 2015
- [j4]Georgia D. Solomou, Christos Pierrakeas, Achilles Kameas:
Characterization of Educational Resources in e-Learning Systems Using an Educational Metadata Profile. J. Educ. Technol. Soc. 18(4): 246-260 (2015) - [c14]Maria Virvou
Empirical study towards the creation of educational user profiles for the students of an open university. IISA 2015: 1-5 - 2014
- [c13]Nikolitsa Aggelopoulou, Christos Pierrakeas
Ontological Modelling for Intelligent E-learning. ICALT 2014: 716-718 - 2013
- [c12]Christos Pierrakeas
A correlation verb (CorrVerb) ontology for object properties specification within knowledge domain representations. BCI 2013: 195-200 - 2012
- [c11]George Nikolopoulos, Georgia D. Solomou, Christos Pierrakeas
Modeling the characteristics of a learning object for use within e-learning applications. BCI 2012: 112-117 - [c10]Aikaterini K. Kalou, Georgia D. Solomou, Christos Pierrakeas
An Ontology Model for Building, Classifying and Using Learning Outcomes. ICALT 2012: 61-65 - [c9]Aggeliki Kouneli, Georgia D. Solomou, Christos Pierrakeas
Modeling the Knowledge Domain of the Java Programming Language as an Ontology. ICWL 2012: 152-159 - [c8]Ioannis Panagiotopoulos, Aikaterini K. Kalou, Christos Pierrakeas
An Ontological Approach for Domain Knowledge Modeling and Management in E-Learning Systems. AIAI (2) 2012: 95-104 - [c7]Ioannis Panagiotopoulos, Aikaterini K. Kalou, Christos Pierrakeas
An Ontology-Based Model for Student Representation in Intelligent Tutoring Systems for Distance Learning. AIAI (1) 2012: 296-305 - [c6]George Nikolopoulos, Aikaterini K. Kalou, Christos Pierrakeas
Creating a LO Metadata Profile for Distance Learning: An Ontological Approach. MTSR 2012: 37-48 - [c5]Christos Pierrakeas
An Ontology-Based Approach in Learning Programming Languages. Panhellenic Conference on Informatics 2012: 393-398
2000 – 2009
- 2006
- [j3]Dimitris Kalles
Analyzing Student Performance in Distance Learning with Genetic Algorithms and Decision Trees. Appl. Artif. Intell. 20(8): 655-674 (2006) - [c4]Dimitris Kalles
Using Genetic Algorithms and Decision Trees for a posteriori Analysis and Evaluation of Tutoring Practices based on Student Failure Models. AIAI 2006: 9-18 - [c3]Thanasis Hadzilacos
On Small Data Sets Revealing Big Differences. SETN 2006: 512-515 - 2004
- [j2]Sotiris B. Kotsiantis
Predicting Students' Performance In Distance Learning Using Machine Learning Techniques. Appl. Artif. Intell. 18(5): 411-426 (2004) - [c2]Ioannis Hatzilygeroudis, Anthi Karatrantou, Christos Pierrakeas
PASS: An Expert System with Certainty Factors for Predicting Student Success. KES 2004: 292-298 - 2003
- [c1]Sotiris B. Kotsiantis
Preventing Student Dropout in Distance Learning Using Machine Learning Techniques. KES 2003: 267-274 - 2002
- [j1]Michalis Nik Xenos, Christos Pierrakeas
A survey on student dropout rates and dropout causes concerning the students in the Course of Informatics of the Hellenic Open University. Comput. Educ. 39(4): 361-377 (2002)
Coauthor Index
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last updated on 2024-10-07 22:07 CEST by the dblp team
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