TY - GEN
T1 - A Proposed Framework for Learning Assessment Ontology Generator
AU - Maslim, Martinus
AU - Wang, Hei Chia
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - Different institutions have shown interest in standardizing the learning result. It may be used in the same way to assess students’ learning status. The teacher must quantify the learning outcomes for evaluation purposes. It often requires a great deal of time and effort to do paper tasks. Additionally, this activity prevents instructors from concentrating on the learning process. Teachers are continuously burdened with administrative responsibilities that should be alleviated using technology that adheres to the current framework. The Bloom Taxonomy, a widely used framework for defining learning outcomes, allows for the assessment of learning outcomes at several levels. The purpose of this research is to provide a framework that will assist the instructor in completing the evaluation more quickly and accurately. This study provided an algorithm for adapting ontology and text classification technologies to detect correlations between words and keywords to aid in evaluation. It is anticipated that the categorization findings will assist in shortening the time required to complete the evaluation.
AB - Different institutions have shown interest in standardizing the learning result. It may be used in the same way to assess students’ learning status. The teacher must quantify the learning outcomes for evaluation purposes. It often requires a great deal of time and effort to do paper tasks. Additionally, this activity prevents instructors from concentrating on the learning process. Teachers are continuously burdened with administrative responsibilities that should be alleviated using technology that adheres to the current framework. The Bloom Taxonomy, a widely used framework for defining learning outcomes, allows for the assessment of learning outcomes at several levels. The purpose of this research is to provide a framework that will assist the instructor in completing the evaluation more quickly and accurately. This study provided an algorithm for adapting ontology and text classification technologies to detect correlations between words and keywords to aid in evaluation. It is anticipated that the categorization findings will assist in shortening the time required to complete the evaluation.
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U2 - 10.1007/978-3-031-15273-3_28
DO - 10.1007/978-3-031-15273-3_28
M3 - Conference contribution
AN - SCOPUS:85138005442
SN - 9783031152726
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 252
EP - 261
BT - Innovative Technologies and Learning - 5th International Conference, ICITL 2022, Proceedings
A2 - Huang, Yueh-Min
A2 - Cheng, Shu-Chen
A2 - Barroso, João
A2 - Sandnes, Frode Eika
PB - Springer Science and Business Media Deutschland GmbH
T2 - 5th International Conference on Innovative Technologies and Learning, ICITL 2022
Y2 - 29 August 2022 through 31 August 2022
ER -