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Improvement of Deep Learning Models to Predict the Knowledge Level of Learners based on the EdNet Data
Seulgi Choi, Youngpyo Kim, Sojung Hwang, Heeyoul Choi
http://doi.org/10.5626/JOK.2021.48.12.1335
As online education increases, the field of AI in Education (AIEd), where artificial intelligence is used for education, is being actively studied. Knowledge Tracing (KT), which predicts a student"s knowledge level based on each student"s learning record, is a basic task in the AIEd field. However, there is a lack of utilization of the dataset and research on the KT model architecture. In this paper, we propose to use a total of 11 features, after trying various features related to the problems, and present a new model based on the self-attention mechanism with new query, key, and values, Self-Attentive Knowledge Tracking Extended (SANTE). In experiments, we confirm that the proposed method with the selected features outperforms the previous KT models in terms of the AUC value.
OSDEF: An Integrated Framework for Practicing Object-Oriented Software Development
http://doi.org/10.5626/JOK.2019.46.8.774
Software development starts with a specific software development process (SDP) which contains the start and end of the development, SDP plays an important role in the software engineering education. Object-oriented software development education uses several examples that contain object-oriented characteristics into education and practices. However, there is an immense burden on the implantation phases as per the scale of the program, thus creating difficulties in the identification of the connected relations between software design and implementation. In the present work, we propose the OSDEF (Object-oriented based Software Development Education Framework) framework for proceeding an efficient software engineering education based on the OOPT (Object-Oriented Process with Traceability). The framework contains artifact management tools which can directly write development artifacts inside the tool, traceability analysis tool, and emulating environment for embedded software, which can practice a layered architecture in an efficient manner.
Power Consumption Forecasting Scheme for Educational Institutions Based on Analysis of Similar Time Series Data
Jihoon Moon, Jinwoong Park, Sanghoon Han, Eenjun Hwang
http://doi.org/10.5626/JOK.2017.44.9.954
A stable power supply is very important for the maintenance and operation of the power infrastructure. Accurate power consumption prediction is therefore needed. In particular, a university campus is an institution with one of the highest power consumptions and tends to have a wide variation of electrical load depending on time and environment. For this reason, a model that can accurately predict power consumption is required for the effective operation of the power system. The disadvantage of the existing time series prediction technique is that the prediction performance is greatly degraded because the width of the prediction interval increases as the difference between the learning time and the prediction time increases. In this paper, we first classify power data with similar time series patterns considering the date, day of the week, holiday, and semester. Next, each ARIMA model is constructed based on the classified data set and a daily power consumption forecasting method of the university campus is proposed through the time series cross-validation of the predicted time. In order to evaluate the accuracy of the prediction, we confirmed the validity of the proposed method by applying performance indicators.
OOPT: An Object-Oriented Development Methodology for Software Engineering Education
Sejin Jung, Dong-Ah Lee, Eui-Sub Kim, Chun-Hyon Chang, Junbeom Yoo
The software development process (SDP) plays an important basic role in software engineering education. Every software is developed in accordance with a specific SDP which contains all phases of software development. SDP education helps students to understand the overall techniques and the process of software engineering. This paper introduces a software development methodology (i.e., process) - ‘OOPT (Object Oriented Process with Traceability),’ which was proposed for use in university software engineering classes. The OOPT is based on object-oriented software development, and it defines concrete requirements as well as outputs of each process/phases. It also contains the unit/system testing and a traceability analysis. We have used the OOPT in software engineering classes at Konkuk university for eight years. This paper conveys our experience as well as future extension and improvement plans.
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