dc.contributor.author |
Ramanayake, K. N |
|
dc.date.accessioned |
2022-03-07T04:17:40Z |
|
dc.date.available |
2022-03-07T04:17:40Z |
|
dc.date.issued |
2021 |
|
dc.identifier.citation |
Ramanayake, K. N (2021) Automated microcontent authoring tool. BSc. Dissertation Informatics Institute of Technology |
en_US |
dc.identifier.issn |
2017118 |
|
dc.identifier.uri |
http://dlib.iit.ac.lk/xmlui/handle/123456789/838 |
|
dc.description.abstract |
"
Authoring tools are widely used within the e-learning domain. Their purpose is to
make the creation of learning content easier by providing users with a tool which they
may use to design/develop their resources. Traditional methods of learning are mainly
paper based. Text books, assessments and other resources are printed on paper and
presented to learners. Students are entirely dependent on this material for learning.
Over the past year the world has undergone a massive shift in the way people live there
day to day lives, this is mainly due to the COVID-19 pandemic. The e-learning
industry especially took a big hit and many institutions were forced to switch to online
learning. The medium changed from a paper-based system to a digital one. During
these times, e-learning tools are needed more than ever.
Automatic question generation systems have been used in the past to produce questions
needed for exams and other tests. This research proposes a tool which generates
questions in the form of e-learning content that could be published once generated.
The questions could take a variety of forms to keep learners engage, and the ideal
question types could be matched to specific learners. Content creators are no longer
needed to manually convert their traditional material to digitised text. The tool
produces gapfill questions from PDF documents in the form of two content types
provided by the H5P plugin.
" |
en_US |
dc.language.iso |
en |
en_US |
dc.subject |
H5P |
en_US |
dc.subject |
Question Generation |
en_US |
dc.subject |
E-learning |
en_US |
dc.subject |
Microlearning |
en_US |
dc.subject |
Natural Language Processing |
en_US |
dc.title |
Automated microcontent authoring tool |
en_US |
dc.type |
Thesis |
en_US |