A Proposed Framework for Learning Assessment Ontology Generator

Martinus Maslim, Hei Chia Wang

研究成果: Conference contribution


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.

主出版物標題Innovative Technologies and Learning - 5th International Conference, ICITL 2022, Proceedings
編輯Yueh-Min Huang, Shu-Chen Cheng, João Barroso, Frode Eika Sandnes
發行者Springer Science and Business Media Deutschland GmbH
出版狀態Published - 2022
事件5th International Conference on Innovative Technologies and Learning, ICITL 2022 - Virtual, Online
持續時間: 2022 8月 292022 8月 31


名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
13449 LNCS


Conference5th International Conference on Innovative Technologies and Learning, ICITL 2022
城市Virtual, Online

All Science Journal Classification (ASJC) codes

  • 理論電腦科學
  • 電腦科學(全部)


深入研究「A Proposed Framework for Learning Assessment Ontology Generator」主題。共同形成了獨特的指紋。