The Academic Resources Recommender System (ARReS) includes collection of Theses and Dissertations available in the Camarines Sur Polytechnic Colleges Library.
Data mining techniques are used to generate significant patterns, then to build data models for prediction. In this connection, this thesis aimed to utilize Educational Data Mining to mine Grade 10students' Grade Point to select a Senior High School Strand using student data from the target school. The researcher used exploratory research, which, as the name indicates, aims only to investigateresearch issues rather than provide definitive and conclusive solutions to current problems. Furthermore, the dataset utilized in this study is the student data of the respondent, Grade 10 students entering SHS Senior High School of Pili National High School. The Kmeans and Decision Tree ensembles returned a 100% accuracy rate in the training dataset and 99.3% in the validation dataset with three incorrect instances. In terms of testing, the model yielded a prediction confidence range of 1 to 99.7%. The researcher also found that the Apriori algorithm does not take a numerical value, and PredictiveApriori is the best associative algorithm for this kind of study and dataset. Furthermore, by comparing the Generated Result to the Real-life choice of the student, one can see that GAS is the most picked strand among the grade 11 student. Compared to other strands, fewer students choose HUMMS for senior high, while most students choose GAS. The research findings and conclusions might be submitted to academic officials to support the national framework for career guidance to improve the strand policy for Senior High School tracks and strands.
Efren A. Ballester III Jr.; Cheloja L. Gonowon; Edralynn T. Dimaiwat; Brent Louie H. Pontillas
2022 Information TechnologyDuring in this technological era where almost everything can be accomplished with the help of the machines and computers. This makes every individual’s task can be accomplished in a short period of time in which also enables us to proceed from one task to another task or both in terms of multitaski...
John Dherie P. Tuyay; Debbie B. Sablayan; April O. Sayson; Analiza A. Sesno
2022 Computer ScienceTechnology has an essential part in this generation, it is almost applied in everything in our daily lives, for example, assisting society in communicating, learning, and thinking. With this, the researchers developed a system that intends to provide better services to users who give information qui...
Bryan Angelo Apilan; Ma. Melody J. Barra; Juvy S. Deliva; John Carlo Llarenas; Laurenz Malagueno
2022 Information TechnologyTechnology has significantly contributed to the changing nature of work in the modern era particularly in the academics. Due to COVID-19 pandemic, most of the schools encountered difficulties upon admission of the students. With this, the researchers conducted a study generally to develop an online...
PATRICIA MAE C. NAMORO; REGINE G. TADURAN; ELLAINE JOY V. CASYAO; LUIGI C. SAN JOAQUIN
2022 Information TechnologyIn today's environment, the Self-Learning Module (SLM) is a preferred learning resource that is used in all public schools, with modular distance learning as an alternate learning modality to continue teaching. It is designed to suit the learners' learning needs by providing inputs, tasks, activitie...