A formalism for PLAN – a big data personal learning assistant for university students
Big Data-based methods of learning analytics are increasingly relied on by institutions of higher learning in order to increase student retention by identifying at risk students who are in need of an intervention to allow them to continue on in their educational endeavors. It is well known that e-Le...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Italian e-Learning Association
2016-05-01
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| Series: | Je-LKS: Journal of E-Learning and Knowledge Society |
| Subjects: | |
| Online Access: | https://www.je-lks.org/ojs/index.php/Je-LKS_EN/article/view/1145 |
| _version_ | 1818119290766753792 |
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| author | Timothy Arndt Angela Guercio |
| author_facet | Timothy Arndt Angela Guercio |
| author_sort | Timothy Arndt |
| collection | DOAJ |
| description | Big Data-based methods of learning analytics are increasingly relied on by institutions of higher learning in order to increase student retention by identifying at risk students who are in need of an intervention to allow them to continue on in their educational endeavors. It is well known that e-Learning students are even more at risk of failing out of university than are traditional students, so Big Data learning analytics are even more appropriate in this context. In this paper, we present our approach to this problem. We wish to place control of a student’s learning process in his own hands, rather than that of the learning institution in order to decouple the student from the institution since the goals and motivations of these two may not be completely aligned. In this way, we empower the student by giving him control of the personal learning system which employs Big Data techniques to generate recommendations on how to reach a set of learner-specific learning goals. We present the formalism which underlies our system, the architecture which implements the system, scenarios for system use, a survey of related works and thoughts on how the system will be implemented in a prototype in the future. |
| first_indexed | 2024-12-11T05:07:51Z |
| format | Article |
| id | doaj.art-1bf22463c80e4cfa9bf02f4e0f0afaf7 |
| institution | Directory Open Access Journal |
| issn | 1826-6223 1971-8829 |
| language | English |
| last_indexed | 2024-12-11T05:07:51Z |
| publishDate | 2016-05-01 |
| publisher | Italian e-Learning Association |
| record_format | Article |
| series | Je-LKS: Journal of E-Learning and Knowledge Society |
| spelling | doaj.art-1bf22463c80e4cfa9bf02f4e0f0afaf72022-12-22T01:19:59ZengItalian e-Learning AssociationJe-LKS: Journal of E-Learning and Knowledge Society1826-62231971-88292016-05-0112210.20368/1971-8829/1145A formalism for PLAN – a big data personal learning assistant for university studentsTimothy ArndtAngela Guercio0Department of Computer Science, Kent State University at Stark, Canton, OHBig Data-based methods of learning analytics are increasingly relied on by institutions of higher learning in order to increase student retention by identifying at risk students who are in need of an intervention to allow them to continue on in their educational endeavors. It is well known that e-Learning students are even more at risk of failing out of university than are traditional students, so Big Data learning analytics are even more appropriate in this context. In this paper, we present our approach to this problem. We wish to place control of a student’s learning process in his own hands, rather than that of the learning institution in order to decouple the student from the institution since the goals and motivations of these two may not be completely aligned. In this way, we empower the student by giving him control of the personal learning system which employs Big Data techniques to generate recommendations on how to reach a set of learner-specific learning goals. We present the formalism which underlies our system, the architecture which implements the system, scenarios for system use, a survey of related works and thoughts on how the system will be implemented in a prototype in the future.https://www.je-lks.org/ojs/index.php/Je-LKS_EN/article/view/1145personal learning systembig datalearning recommendation systemslearning modelse-learning |
| spellingShingle | Timothy Arndt Angela Guercio A formalism for PLAN – a big data personal learning assistant for university students Je-LKS: Journal of E-Learning and Knowledge Society personal learning system big data learning recommendation systems learning models e-learning |
| title | A formalism for PLAN – a big data personal learning assistant for university students |
| title_full | A formalism for PLAN – a big data personal learning assistant for university students |
| title_fullStr | A formalism for PLAN – a big data personal learning assistant for university students |
| title_full_unstemmed | A formalism for PLAN – a big data personal learning assistant for university students |
| title_short | A formalism for PLAN – a big data personal learning assistant for university students |
| title_sort | formalism for plan a big data personal learning assistant for university students |
| topic | personal learning system big data learning recommendation systems learning models e-learning |
| url | https://www.je-lks.org/ojs/index.php/Je-LKS_EN/article/view/1145 |
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