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Dejavu: A multi-player review game with crowdsourced review materials, ranking system and spaced repetition recall technique

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Дата
2019-10
Автор
Baladjay, Angel Lou D.
Cainglet, Pymy Crosia M.
Dela Cruz, Nica Marielle G.
Tanjay, Jethro D.
Thesis Adviser
Coo, Richard Michael
Defense Panel Chair
Chua Ko, Marie Ariessa
Parreño, Marjee Rose
Cambronero, Pedro Peter Rhys Jr.
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Аннотации
The Internet has swiftly integrated itself into the daily life of its users; however, prior studies concluded that the increase in Internet use leads to a decrease in academic performance among students and an overall increase in trait procrastination. The researchers conducted a survey with 80 respondents - 61 of whom were students and 19 of whom were teachers. The results of the survey aligned with the previous research as stated that respondents spend an average of 4 hours per day procrastinating. In addition, it was also discovered that there is a market-deficit of gamified review application and a desire for such with 100% of teacher respondents agreeable to the development of such an app.

In response to the increase in trait procrastination and market-deficit of gamified field-specific review application available for both student and teacher usage, the researchers developed Dejavu; a Progressive Web Application which seeks to fill the market-deficit of gamified review applications, so as to provide users an avenue to minimize trait procrastination. It revolves around multiple choice study sets or Topics, wherein each Topic can be played solo or competitively with a friend and users are given the option of either creating their own Topics or selecting from Topics created by other users.
Описание
Abstract only
URI
https://hdl.handle.net/20.500.12852/3000
Suggested Citation
Baladjay, A. L. D., Cainglet, P. C. M., Dela Cruz, N. M. G., & Tanjay, J. D. (2019). Dejavu: A multi-player review game with crowdsourced review materials, ranking system and spaced repetition recall technique [Unpublished special paper]. Central Philippine University.
Type
Special paper
Тематика
Study guides OCLC - FAST (Faceted Application of Subject Terminology); Games OCLC - FAST (Faceted Application of Subject Terminology); Application software--Development OCLC - FAST (Faceted Application of Subject Terminology); Procrastination OCLC - FAST (Faceted Application of Subject Terminology)
Department
College of Engineering
Degree
Bachelor of Science in Software Engineering
Shelf Location
QA 76.758 B35 2019
Physical Description
106 p. : ill. (col)
Collections
  • Bachelor of Science in Software Engineering [5]

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