OPTIMAL CONDITION: DAYPARTING AND ACADEMIC PRODUCTIVITY AMONG LICEO STUDENTS ____________________________________ A Research Proposal Presented to The Faculty of Liceo de La Salle - Bacolod ____________________________________ In Partial Fulfillment of the Requirements for Practical Research 1 _____________________________________ Buensuceso, Khiziah Pauline B. Dela Gracia Joeylla Gwenyl K. Fernando, Kaye P. Gonzales, Jamaica G. Paje, Therese Dominic B. Refugio, Ej Caelyn Denise G. INTRODUCTION It was on March 11, 2020, when the World Health Organization (WHO) declared Covid-19 as a worldwide pandemic. As a result, 87% of the world's student population has been affected by school closures, and face-to-face teaching and assessment shifted to an online format (Education: From School Closure to Recovery, 2022). Due to this, there have been changes on the level of student productivity due to the body's circadian rhythm, which causes different levels of productivity at different times of day. According to an article by (Emily Paladino, 2021) students have expressed a significant decline in productivity during an online school day as a result of staring at a computer screen for several hours. There have been many attempts to assess the way in which the performance of children and adolescents varies across the day, with a decidedly mixed pattern of results (e.g., Dunn, Dunn, Primavera, Sinatra, & Virostko, 1987; Klein, 2001; Morton & Kershner, 1985). However, none of these studies systematically assessed the performance of children or young adolescents as a function of their individual Morningness or Eveningness preference and the time at which testing occurred. Hyflex and full online are two available learning modalities at Liceo De La Salle. A Senior High School student will take a total of 31 subjects for 80 hours each, totaling 2,480 hours over the course of two years (University of St. La Salle, n.d.). Classes may begin as early as 7:30 am and end as late as 5:30 pm. A senior high school student will have a total of 31 eighty-hour topics, one for each Track or Strand. Articles in the popular press suggest that the school day starts too early for adolescents. Such assertions are supported by little scientific evidence, which often downplays the possible significance of the synchronization between a person's preferred time of day (also known as "chronotype") and the time at which they occur (Hahn et al., 2007) Academic performance, the measurement of student achievement across various academic subjects. Teachers and education officials typically measure achievement using classroom performance, graduation rates and results from standardized, (Academic Performance, n.d.). Optimal condition, the best or most desirable circumstances that affects the way in which people live or work, especially with regard to their safety or well-being. To better understand the ideal time for teaching fundamental courses like reading and math or giving high-stakes standardized tests, academic researchers have investigated the relationship between time of day and student learning. According to this study, students are generally more productive in the morning than in the afternoon, particularly in math. In America, high schools have started implementing later start hours around the nation in response to concerns from parents and educators who claim that students struggle to get to class on time and require more sleep. In STEM 11- I of Liceo, batch 2022- 2023 alone the schedule of General Mathematics is at 2:30 - 3: 30 and for Pre- Calculus is at 9:30 to 10:30. This may or may not affect the student's productivity especially in their core subjects. With these, the researchers will conduct a study to determine the dayparting and academic productivity of STEM students of LICEO de La Salle in an optimal condition, for there are relatively few and outdated studies that have been conducted in this area and none in LICEO. Respondents will be randomly selected from different clusters of STEM at Liceo de la Salle. An online questionnaire will be sent to the respondents and contain a demographic profile section and a 10-item test that could determine when they are most productive. Findings of the study are deemed beneficial to the students, teachers, and school in seeing the optimal condition that may also help teachers identify where students are most productive to adjust or create necessary programs and interventions in line with the goal to improve students' academic performance. Statement of the Problem This study aims to investigate the relationship between different dayparts with students' academic productivity. Specifically, this will seek to answer the following questions: 1. What is the level of productivity of the respondents in terms of the following dayparts: a. Morning b. Noon c. Night d. Midnight 2. Is there a significant difference in the level of productivity of the respondents in different dayparts? REFERENCES Education: from school closure to recovery. (2022, November 8). UNESCO. https://www.unesco.org/en/covid-19/education-response CDC Museum COVID-19 Timeline. (2022, August 16). Centers for Disease Control and Prevention. https://www.cdc.gov/museum/timeline/covid19.html Paladino, E. (n.d.). How Online Learning Impacts Student Productivity. Horizon. https://lhshorizon.com/6712/opinions/how-online-learning-impacts-student-produ ctivity/ Center for Marketing and Communications. (n.d.). University of St. La Salle. https://usls.edu.ph/overviews/page/Freshmen Peaton, K. (2022, June 10). Time of day and student productivity in middle school and high school. The Journalist’s Resource. https://journalistsresource.org/education/time-day-school-schedule-productive/ Hahn, C. S., Hasher, L., Wiprzycka, U. J., & Zelazo, P. D. (2007). Time of day, intellectual performance, and behavioral problems in Morning versus Evening type adolescents: Is there a synchrony effect? Personality and Individual Differences, 42(3), 431–440. https://doi.org/10.1016/j.paid.2006.07.008 Darling-Aduana, J. (2019). Behavioral Engagement Shifts Among At-Risk High School Students Enrolled in Online Courses. AERA Open, 5(4), 233285841988773. https://doi.org/10.1177/2332858419887736 Pope, N. G. (2016). How the Time of Day Affects Productivity: Evidence from School Schedules. Review of Economics and Statistics, 98(1), 1–11. https://doi.org/10.1162/rest_a_00525 Dunn, Dunn, Primavera, Sinatra, & Virostko, 1987; Klein, 2001; Morton & Kershner, 1985 (n.d.-b). https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1761650/