Time Series Forecasting Learning Outcome Model for Students’ Competencies Prediction

Recent studies have demonstrated that students’ competencies can be assessed based on students’ learning outcome achievements. Successful learning outcome can be influenced by a great learning performance, engagement or/and motivation among the students. Educational sectors emphasize the importance of content providers aligning their learning materials with students’ preferences, that contributing to successful learning outcomes. In this context, predicting students’ learning outcomes across the influential factors includes learning performance, engagement and motivation, can aid in understanding and identifying future risks faced by students. This predictive insight can provide valuable information to recommend the best approaches to mitigate these risks. There is a growing corpus of literature discusses innovative strategies for predicting students’ learning outcome. Among the strategies, time-series forecasting stands out as a particularly intriguing avenue to explore due to its unique ability to predict students’ learning outcome over time.
Time series forecasting facilitates accurate predictions of future values, enabling content providers to make informed decisions and plan effectively. However, the existing time series forecasting in predicting students’ learning outcome remains uncertain in term of its accuracy and effectiveness in capturing complex patterns of data in education domain.
This study aims to model a time-series forecasting learning outcome model for predicting students’ s learning outcome over time, with a specific focus on the realm of software engineering in higher education as a means to contribute to the advancement of society in todays’ computational world. This model will also assist the researchers and educators in effectively assessing students’ competencies based on the students’ learning outcome achievement, resulting in improved learning performance. The findings of this study will further contribute to the expanding body of literature on innovative strategy in predicting students’ learning outcomes over time. This research significantly contributes to the education sector by promoting excellent education and sustainable development objectives.