Indonesia Cyber Education (ICE) Institute presented the 12th Cyber Education Forum (CEF) Universitas Terbuka (UT) with the theme of: “Automated Essay Scoring System for Online Learning” on Tuesday, 26 April 2022. This Cyber Education Forum (CEF) was held on Zoom Meeting attended by more than 200 participants joining the program, as well as through video streaming which can be accessed on channel YouTube UT TV.
The event was moderated by Venty Fitriany Nurunisa, S.E., M.Si., M.Sc., the lecturer of Faculty of Science and Technology - UT (FST-UT). In this opportunity, Indonesia Cyber Education (ICE) Institute presented two speakers. The first speaker, Prof. Dr. Ir. Anak Agung Putri Ratna, M.Eng. – University of Indonesia, The second speaker is Dr. Retno Kusumaningrum, M.Kom. – University of Diponegoro, and the third is Prof. John Fischetti Pro Vice-Chancellor Collage of Human and Social Futures, the University of Newcastle, Australia.
Prof. Dr. Ir. Anak Agung Putri Ratna, M.Eng., in her presentation, explained the development of “Automated Essay Scoring System” and the topic today is focused on the use of Essay in Indonesian language. Initiated with the ways that a system can automatically check an essay using the computer. This system is intended to obtain objective scoring even though the schemes of the answer are in form of an essay. The characteristics of this system which is to accelerate the process of scoring completion, so that it is called “Automated Essay Scoring System”. The development process of system uses SIMPLE-O (sistem penilaian essay otomatis or automated essay scoring system). Meanwhile, the language assessed in Indonesian Language and Japanese Language, too. In its scoring, this system uses language program, consisting of: C, PH, and PHYTON, and using the Algorithm: LSA, Winnowing, Machine Learning, and Deep Learning.
The session continued by Dr. Retno Kusumaningrum, M.Kom., and she gave an illustration on “Artificial Intelligence as the Brain of Automated Essay Scoring System.” It is explained that AI (Artificial Intelligence) in “Automated Essay System” is a computer engineering that can copy human behaviors possessing intelligence.
Dr. Retno explains that as the time progresses, there is emerged machine learning. According to her, machine learning is the machine or computer as part of AI which is in the development process and some improvements are made as such that it has intelligent capacity, like human, such as the capability to study.
Hopefully the computer can learn from the data in order to improve their intelligence. Moreover, there is also deep learning that focuses on the complex neural network. Usually, deep learning is the method that is developed for various researches and various problem domains in this internet era whereas the data get bigger.
Dr. Retno explained on how the Artificial Intelligence has become ”the brain” of Automated Essay Scoring system which classifies the collections of entry tasks/textual data in great number. In its application, Classical AI is unfair as it must collect all the rules that are too many, as we want this machine to be able to understand more abstract concepts, both logical and contextual.
In its current position, Classical AI cannot be applied as in the current era, it is more appropriate to use machine learning with zero rule, wherein each text will be transformed in order to represent various context that would be understood by the computer and furthermore, the computer will see the answer and the scores that have been applied by human grader. This machine/computer can provide the scores or grades with sufficient data, that this machine will be able to provide the scores without human supervision.
The third speaker, Prof. John Fischetti Pro Vice-Chancellor Collage of Human and Social Futures, the University of Newcastle, also elaborated automatic scoring system. He stated that this system ensures that the programs are always updated, meeting high quality standards, continually responding to any changes, and therefore, complying with continuous improvement practices. Prof. John also illustrated the automatic scoring as the modern tools that used to make teaching and learning programming, as well as research reporting.
Subsequently, Prof. John explained the objects and contents of education that is used in the structure researches, for example those related to group description which is involved in the research, motivation, expectation, and others. This part focuses on the research in terms of two aspects, namely identification of significant differences among the groups that are involved and identification of correlation among the automatic scoring and test results.