2020 |
Karachristos, C; Kouvara, T; Orphanoudakis, T; Stavropoulos, E; Batsi, Z; Chronopoulou, M Defining e-learning facilitation - the Greek case study Conference Proceedings of ICERI2020 Conference, 2020, ISBN: 978-84-09-24232-0. Abstract | Links | BibTeX | Ετικέτες: COVID-19, distance education, e-learning facilitator @conference{Karachristos2020, title = {Defining e-learning facilitation - the Greek case study}, author = {C. Karachristos and T. Kouvara and T. Orphanoudakis and E. Stavropoulos and Z. Batsi and M. Chronopoulou}, url = {https://eeyem.eap.gr/wp-content/uploads/2020/11/1353.pdf}, isbn = {978-84-09-24232-0}, year = {2020}, date = {2020-11-09}, booktitle = {Proceedings of ICERI2020 Conference}, pages = {6283-6290}, abstract = {During the last decades, the field of e-learning is continually expanding. The new era of e-learning education opens up a new problem space for researchers in order to redefine the educational needs that arise in this sector. The demand for e-learning facilitation is growing accordingly to the rising number of participants in e-learning modules in Europe and specifically in Greece. Additionally, the recent COVID-19 lockdown with its tremendous consequences in most of humans’ personal and professional lives, has affected the way of thinking and acting and has highlighted the merits of distance education, by strengthening the need for further dynamic instructional designing models and new skills acquisition. The aim of e-learning facilitation as well as the tasks of an e-learning facilitator are not clearly defined. An e-learning facilitator facilitates an online training course or programme. Among others, he aims to motivate, engage, and support the learners, to facilitate their communication and collaboration throughout the course. The pedagogical role is usually confused with the role of a teacher, but in fact, a facilitator might not be an expert on the subject of the course. Motivated by the above observations, the current research is a first effort to cover the bibliographic gap for the elearning facilitator profile definition. The study aims to identify the pedagogical needs of the adults who are being trained via electronic devices and e-learning platforms, which a facilitator has to fulfill. This step is of utmost importance for defining the pedagogical and technical skills, which have to be possessed by a facilitator. Our research gathers data based on the Greek case, however, it is a part of a wider research where five European countries are participating. A number of stakeholders with a variety of profiles in adult learning (incl. staff from universities, professors, tutors, researchers, company trainers) have been interviewed about the current situation in their country, the tasks and the skills that an e-learning facilitator should have. The results of the research highlighted the pedagogical and technical needs that make the role of a facilitator significant. Based on these needs, a framework has been developed defining the skills of the facilitator. The potential future goal is to create a curriculum aimed at the exclusive training of facilitators in distance adult education.}, keywords = {COVID-19, distance education, e-learning facilitator}, pubstate = {published}, tppubtype = {conference} } During the last decades, the field of e-learning is continually expanding. The new era of e-learning education opens up a new problem space for researchers in order to redefine the educational needs that arise in this sector. The demand for e-learning facilitation is growing accordingly to the rising number of participants in e-learning modules in Europe and specifically in Greece. Additionally, the recent COVID-19 lockdown with its tremendous consequences in most of humans’ personal and professional lives, has affected the way of thinking and acting and has highlighted the merits of distance education, by strengthening the need for further dynamic instructional designing models and new skills acquisition. The aim of e-learning facilitation as well as the tasks of an e-learning facilitator are not clearly defined. An e-learning facilitator facilitates an online training course or programme. Among others, he aims to motivate, engage, and support the learners, to facilitate their communication and collaboration throughout the course. The pedagogical role is usually confused with the role of a teacher, but in fact, a facilitator might not be an expert on the subject of the course. Motivated by the above observations, the current research is a first effort to cover the bibliographic gap for the elearning facilitator profile definition. The study aims to identify the pedagogical needs of the adults who are being trained via electronic devices and e-learning platforms, which a facilitator has to fulfill. This step is of utmost importance for defining the pedagogical and technical skills, which have to be possessed by a facilitator. Our research gathers data based on the Greek case, however, it is a part of a wider research where five European countries are participating. A number of stakeholders with a variety of profiles in adult learning (incl. staff from universities, professors, tutors, researchers, company trainers) have been interviewed about the current situation in their country, the tasks and the skills that an e-learning facilitator should have. The results of the research highlighted the pedagogical and technical needs that make the role of a facilitator significant. Based on these needs, a framework has been developed defining the skills of the facilitator. The potential future goal is to create a curriculum aimed at the exclusive training of facilitators in distance adult education. |
2017 |
Sideris, Dimitris; Spyropoulou, Natalia; Kalantzi, Rozalia; Androulakis, George Empowering the educational procedure through interactive educational activities in distance higher education Inproceedings 10th annual International Conference of Education, Research and Innovation (ICERI2017), pp. 6089 - 6094, IATED, 2017, ISBN: 978-84-697-6957-7. Links | BibTeX | Ετικέτες: distance education, higher education, interactive educational activities, students’ learning experience @inproceedings{ICERI2017Sideris, title = {Empowering the educational procedure through interactive educational activities in distance higher education}, author = {Dimitris Sideris and Natalia Spyropoulou and Rozalia Kalantzi and George Androulakis}, url = {http://eeyem.eap.gr/wp-content/uploads/2018/08/1585.pdf}, isbn = {978-84-697-6957-7}, year = {2017}, date = {2017-11-18}, booktitle = {10th annual International Conference of Education, Research and Innovation (ICERI2017)}, pages = {6089 - 6094}, publisher = {IATED}, keywords = {distance education, higher education, interactive educational activities, students’ learning experience}, pubstate = {published}, tppubtype = {inproceedings} } |
Kalantzi, Rozalia; Sideris, Dimitris; Spyropoulou, Natalia; Androulakis, George Students' motivation in distance higher education: The role of intrinsic motivation Inproceedings 10th annual International Conference of Education, Research and Innovation (ICERI2017), pp. 5734 - 5740, IATED, 2017, ISBN: 978-84-697-6957-7. Links | BibTeX | Ετικέτες: adult education, distance education, higher education, intrinsic motivation @inproceedings{ICERI2017Kalantzi, title = {Students' motivation in distance higher education: The role of intrinsic motivation }, author = {Rozalia Kalantzi and Dimitris Sideris and Natalia Spyropoulou and George Androulakis}, url = {http://eeyem.eap.gr/wp-content/uploads/2018/08/1494.pdf}, isbn = {978-84-697-6957-7}, year = {2017}, date = {2017-11-18}, booktitle = {10th annual International Conference of Education, Research and Innovation (ICERI2017)}, pages = {5734 - 5740}, publisher = {IATED}, keywords = {adult education, distance education, higher education, intrinsic motivation}, pubstate = {published}, tppubtype = {inproceedings} } |
Kagklis, Vasileios; Lionarakis, Antonis; Marketos, Gerasimos; Panagiotakopoulos, Chris T; Stavropoulos, Elias C; Verykios, Vassilios S Student Admission Data Analytics for Open and Distance Education in Greece Journal Article Forthcoming Open Education - The Journal for Open and Distance Education and Educational Technology, Forthcoming. BibTeX | Ετικέτες: admission demographics, Data analytics, distance education, registration applications @article{Kagklis2017, title = {Student Admission Data Analytics for Open and Distance Education in Greece}, author = {Vasileios Kagklis and Antonis Lionarakis and Gerasimos Marketos and Chris T. Panagiotakopoulos and Elias C. Stavropoulos and Vassilios S. Verykios}, journal = {Open Education - The Journal for Open and Distance Education and Educational Technology}, keywords = {admission demographics, Data analytics, distance education, registration applications}, pubstate = {forthcoming}, tppubtype = {article} } |
2016 |
Karachristos, Christoforos V; Stavropoulos, Elias C; Verykios, Vassilios S; Lazarinis, Fotis; Sakkopoulos, Evangelos; Androulakis, George Promoting Active Learning using a web-based Audience Response System Inproceedings In Proc. of the 20th Panhellenic Conference on Informatics (PCI 2016), 2016, ISBN: 978-1-4503-4789-1. Links | BibTeX | Ετικέτες: Active Learning, Audience Response System, distance education, Learning Technologies, Perception Analyzer @inproceedings{Karachristos2016, title = {Promoting Active Learning using a web-based Audience Response System}, author = {Christoforos V. Karachristos and Elias C. Stavropoulos and Vassilios S. Verykios and Fotis Lazarinis and Evangelos Sakkopoulos and George Androulakis}, url = {http://eeyem.eap.gr/wp-content/uploads/2017/06/Karachristos2016.pdf}, doi = {10.1145/3003733.3003753}, isbn = {978-1-4503-4789-1}, year = {2016}, date = {2016-11-10}, booktitle = {In Proc. of the 20th Panhellenic Conference on Informatics (PCI 2016)}, keywords = {Active Learning, Audience Response System, distance education, Learning Technologies, Perception Analyzer}, pubstate = {published}, tppubtype = {inproceedings} } |
Kagklis, Vasileios; Lionarakis, Antonis; Stavropoulos, Elias C; Verykios, Vassilios S A Learning Analytics Methodology for Student Performance Assessment in a Distance and Open Education Environment Inproceedings In Proc. of The Online, Open and Flexible Higher Education Conference 2016 (EADTU conference 2016), pp. 735-748, 2016. Links | BibTeX | Ετικέτες: Big Data, distance education, Learning Analytics, Student Performance Assessment @inproceedings{Kagklis2016, title = {A Learning Analytics Methodology for Student Performance Assessment in a Distance and Open Education Environment}, author = {Vasileios Kagklis and Antonis Lionarakis and Elias C. Stavropoulos and Vassilios S. Verykios}, url = {http://eeyem.eap.gr/wp-content/uploads/2017/06/EADTU2016paper.pdf}, year = {2016}, date = {2016-10-19}, booktitle = {In Proc. of The Online, Open and Flexible Higher Education Conference 2016 (EADTU conference 2016)}, pages = {735-748}, keywords = {Big Data, distance education, Learning Analytics, Student Performance Assessment}, pubstate = {published}, tppubtype = {inproceedings} } |
2014 |
Spyropoulou, Natalia; Pierrakeas, Christos; Kameas, Achilles Creating MOOC Guidelines based on best practices Proceeding Barcelona, Spain, 2014. Abstract | Links | BibTeX | Ετικέτες: best practices, distance education, MOOCs, open learning @proceedings{808, title = {Creating MOOC Guidelines based on best practices}, author = {Natalia Spyropoulou and Christos Pierrakeas and Achilles Kameas}, url = {http://library.iated.org/view/SPYROPOULOU2014CRE}, year = {2014}, date = {2014-01-01}, journal = {6th annual International Conference on Education and New Learning Technologies}, pages = {7-9 July 2014}, address = {Barcelona, Spain}, abstract = { Massive Open Online Courses (MOOCs) constitute one of the most innovative movements within open learning and distance education. As they are constantly evolving they create new learning opportunities in higher education. However, there exist no consolidated approaches regarding the educational material development, the course curriculum development and the course implementation. Therefore, good practices used in several widespread MOOCs, can be followed and adjusted to different demands and needs of each new course and support designers and academic staff during the design, development and implementation process. Towards this direction, a study was conducted with the aim to create MOOCs guidelines based on best practices on three major categories: the educational material which describe guidelines in order to design and develop suitable educational material, the course curriculum concerning MOOCs structure and configuration and course implementation which include guidelines referring to learners support throughout the educational process. For the aforementioned study practices used by popular MOOCs such as Coursera, FutureLearn, Udemy, Udacity, edΧ and Ιversity were investigated and emulated. The resulting guidelines have been used by designers and academic staff to design four MOOCs of Computer Science Course of the Hellenic Open University (HOU) using EAP-MOOC, a MOOC platform developed based on the Open platform edX. The next step is to escalate the use of MOOCs, relying on the guidelines, in additional educational fields of the HOU. },keywords = {best practices, distance education, MOOCs, open learning}, pubstate = {published}, tppubtype = {proceedings} } <p style="text-align: justify;">Massive Open Online Courses (MOOCs) constitute one of the most innovative movements within open learning and distance education. As they are constantly evolving they create new learning opportunities in higher education. However, there exist no consolidated approaches regarding the educational material development, the course curriculum development and the course implementation. Therefore, good practices used in several widespread MOOCs, can be followed and adjusted to different demands and needs of each new course and support designers and academic staff during the design, development and implementation process. Towards this direction, a study was conducted with the aim to create MOOCs guidelines based on best practices on three major categories: the educational material which describe guidelines in order to design and develop suitable educational material, the course curriculum concerning MOOCs structure and configuration and course implementation which include guidelines referring to learners support throughout the educational process. For the aforementioned study practices used by popular MOOCs such as Coursera, FutureLearn, Udemy, Udacity, edΧ and Ιversity were investigated and emulated. The resulting guidelines have been used by designers and academic staff to design four MOOCs of Computer Science Course of the Hellenic Open University (HOU) using EAP-MOOC, a MOOC platform developed based on the Open platform edX. The next step is to escalate the use of MOOCs, relying on the guidelines, in additional educational fields of the HOU.</p> |
Aggelopoulou, Niki; Pierrakeas, Christos; Artikis, Alexander; Kalles, Dimitris Ontological Modelling for Intelligent e-Learning Proceeding Athens, Greece, 2014. Abstract | BibTeX | Ετικέτες: artificial intelligence {–} applications, distance education, Lifelong learnig, ontologies @proceedings{697, title = {Ontological Modelling for Intelligent e-Learning}, author = {Niki Aggelopoulou and Christos Pierrakeas and Alexander Artikis and Dimitris Kalles}, year = {2014}, date = {2014-01-01}, journal = {14th IEEE International Conference on Advanced Learning Technologies (ICALT 2014)}, address = {Athens, Greece}, abstract = { The evolution of scientific research as well as the development of the relevant technologies and methodologies in the area of distance learning fall within the scope of the objectives the Hellenic Open University whose mission is to provide distance education at both undergraduate and postgraduate level. In order to develop intelligent e-learning applications, we capture the semantics of the Computer Science course concepts with the use of ontologies, by following a specific methodology to build the domain knowledge ontology. We illustrate our approach by presenting the construction of the ontologies of the Artificial Intelligence & Expert Systems module. },keywords = {artificial intelligence {–} applications, distance education, Lifelong learnig, ontologies}, pubstate = {published}, tppubtype = {proceedings} } <div style="text-align: justify;">The evolution of scientific research as well as the <span style="line-height: 1.538em;">development of the relevant technologies and methodologies in </span><span style="line-height: 1.538em;">the area of distance learning fall within the scope of the </span><span style="line-height: 1.538em;">objectives the Hellenic Open University whose mission is to </span><span style="line-height: 1.538em;">provide distance education at both undergraduate and </span><span style="line-height: 1.538em;">postgraduate level. In order to develop intelligent e-learning </span><span style="line-height: 1.538em;">applications, we capture the semantics of the Computer</span></div><div style="text-align: justify;">Science course concepts with the use of ontologies, by following <span style="line-height: 1.538em;">a specific methodology to build the domain knowledge </span><span style="line-height: 1.538em;">ontology. We illustrate our approach by presenting the </span><span style="line-height: 1.538em;">construction of the ontologies of the Artificial Intelligence & </span><span style="line-height: 1.538em;">Expert Systems module.</span></div> |
2012 |
Pierrakeas, Christos; Solomou, Georgia; Kameas, Achilles An Ontological Approach in Learning Programming Languages Proceeding IEEE Computer Society Conference Publishing Services., Piraeus, Greece, 2012. Abstract | Links | BibTeX | Ετικέτες: C, distance education, java, learning objects, ontologies, programming languages @proceedings{Pierrakeas2012, title = {An Ontological Approach in Learning Programming Languages}, author = {Christos Pierrakeas and Georgia Solomou and Achilles Kameas}, url = {http://eeyem.eap.gr/wp-content/uploads/2017/06/14_PCI2012.pdf}, year = {2012}, date = {2012-05-03}, journal = {PCI 2012 – 16th Panhellenic Conference on Informatics}, publisher = {IEEE Computer Society Conference Publishing Services.}, address = {Piraeus, Greece}, abstract = {The learning of programming languages requires the student to develop systematic representations of the lexical constructs and semantic principles of the languages. At the same time, tutors are expected to develop the appropriate training content. In this paper we propose the combination of two techniques to make the above tasks more efficient. Firstly, we propose to use Learning Objects (LOs), for the organization of educational content. At the same time, ontologies are rich knowledge representation structures that can be utilized for modeling the domain concepts. We then present how we can take advantage of the ontological models for two very popular programming languages – that is Java and C – in an attempt to provide tutors with the possibility to better organize their educational material.}, keywords = {C, distance education, java, learning objects, ontologies, programming languages}, pubstate = {published}, tppubtype = {proceedings} } The learning of programming languages requires the student to develop systematic representations of the lexical constructs and semantic principles of the languages. At the same time, tutors are expected to develop the appropriate training content. In this paper we propose the combination of two techniques to make the above tasks more efficient. Firstly, we propose to use Learning Objects (LOs), for the organization of educational content. At the same time, ontologies are rich knowledge representation structures that can be utilized for modeling the domain concepts. We then present how we can take advantage of the ontological models for two very popular programming languages – that is Java and C – in an attempt to provide tutors with the possibility to better organize their educational material. |
Kouneli, Angeliki; Solomou, Georgia; Pierrakeas, Christos; Kameas, Achilles Modeling the Knowledge Domain of the Java Programming Language as an Ontology Proceeding Springer - Verlag Berlin Heidelberg, Sinaia, Romania, LNCS 7558 , 2012. Abstract | Links | BibTeX | Ετικέτες: distance education, java, learning outcomes, ontologies, programming languages @proceedings{Kouneli2012, title = {Modeling the Knowledge Domain of the Java Programming Language as an Ontology}, author = {Angeliki Kouneli and Georgia Solomou and Christos Pierrakeas and Achilles Kameas}, url = {http://eeyem.eap.gr/wp-content/uploads/2017/06/11_ICWL2012.pdf}, year = {2012}, date = {2012-04-12}, journal = {11th International Conference in Web-Based Learning (ICWL 2012)}, volume = {LNCS 7558}, publisher = {Springer - Verlag Berlin Heidelberg}, address = {Sinaia, Romania}, abstract = {Java is a very popular programming language and many study programs in Informatics worldwide include courses particularly designed for its learning. It is considered as the best paradigm for introducing students with object-oriented programming and concepts. Considering Java’s popularity, we initially make an attempt to model this language by using a quite expressing and rich knowledge representation structure, like is ontology. Our aim is to capture the semantics of Java concepts in a way that would render them utilizable by intelligent e-learning applications. Because the construction of an ontology is not an easy task, we follow very specific steps when building the Java ontology. We then take advantage of an already implemented model describing the structure of learning outcomes and combine it with our ontology, with a view to offer a more effective way in organizing the course of Java in the Hellenic Open University.}, keywords = {distance education, java, learning outcomes, ontologies, programming languages}, pubstate = {published}, tppubtype = {proceedings} } Java is a very popular programming language and many study programs in Informatics worldwide include courses particularly designed for its learning. It is considered as the best paradigm for introducing students with object-oriented programming and concepts. Considering Java’s popularity, we initially make an attempt to model this language by using a quite expressing and rich knowledge representation structure, like is ontology. Our aim is to capture the semantics of Java concepts in a way that would render them utilizable by intelligent e-learning applications. Because the construction of an ontology is not an easy task, we follow very specific steps when building the Java ontology. We then take advantage of an already implemented model describing the structure of learning outcomes and combine it with our ontology, with a view to offer a more effective way in organizing the course of Java in the Hellenic Open University. |