Utilization of Linguistic Data for Learner Assessment on e-Learning: Instrument and Processing
The increasingly massive use of e-Learning illustrates the speed and need for innovation in learning. According to the National Higher Education Standards (SNDikti), constructive alignment is required between learning outcomes, processes, and assessments to properly implement learning in e-Learn...
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| Main Authors: | , , , |
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| Format: | Other NonPeerReviewed |
| Language: | English |
| Published: |
2022 7th International Conference on Informatics and Computing, ICIC 2022
2022
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| Subjects: | |
| Online Access: | https://repository.ugm.ac.id/284455/1/157.Utilization_of_Linguistic_Data_for_Learner_Assessment_on_e-Learning_Instrument_and_Processing.pdf https://repository.ugm.ac.id/284455/ https://ieeexplore.ieee.org/document/10006977 |
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| Institution: | Universitas Gadjah Mada |
| Language: | English |
| Summary: | The increasingly massive use of e-Learning
illustrates the speed and need for innovation in learning.
According to the National Higher Education Standards (SNDikti), constructive alignment is required between learning
outcomes, processes, and assessments to properly implement
learning in e-Learning. Assessment is an essential component of
e-Learning. Unfortunately, the problem of assessment in eLearning is still found. One of them is the limitations of eLearning in accommodating and processing various assessment
data, primarily linguistic. Even though the variety of assessment
data, both numerical, linguistic, and a combination of the two,
supports a comprehensive assessment. On the other hand, the
accommodation of linguistic data raises problems regarding
how to process of unifying linguistic data is carried out.
Research related to linguistic data using computing with words
has been carried out, but it still needs more precise results from
the unification of the linguistic data. Therefore, this study
proposes providing an assessment instrument to accommodate
linguistic data in e-Learning, as well as showing how to process
of unifying linguistic data is carried out using 2-Tuple Fuzzy
Linguistic. This approach can avoid the loss of assessment
information by presenting more informative and precise results
in a 2-tuple �, �� where indicates the ability level, and �
shows a comparison of abilities with other learners and the
potential of the learner to achieve higher abilities. This proposal
has the potential to be applied in a learner assessment system
for higher education e-Learning. |
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