# Introduction athematics is one of the fundamental subjects that is a part of human life that can solve and understand ourselves and the world we live in . Mathematics in education can provide an effective way towards new inventions, solutions and innovation. Through this, people can do a lot of things at ease by the help of its applications. In meeting this convenience, there is a need to find out whether the identified factors have a relationship between student's retention of Mathematics. As one of the identified factors, teacher's influence towards the learning of a student has a vital role in education ). Teacher's factor contributes to the students' academic performance. Moreover, under this factor, other variables are taken punctuality of teachers , learners' exercises , teacher preparedness and teacher teaching aid (Siachifuwe, 2017). This also includes teacher's ability to utilize e-learning platform as a mode of teaching and learning to deliver information and instruction to student. Other factors like attitude (Briz-Ponce et al., 2017) and motivation of students can influence and affect their academic performance most specifically in learning mathematics. In this regard, the perceived enjoyment is regarded as one of the components which determines students behavior towards math retention using the elearning platform . In today's generation, education is enhanced by the use of technology integration particularly the e-learning platform and teaching using this platform is regarded as an emerging methodology of teaching and learning. Teaching and learning via e-learning platform brings changes in pedagogical strategies and improves the efficiency of teaching and learning (D. Doculan, 2016). It is regarded as an emerging methodology. This platform bridges the students and teacher relationship to the next level of education. Digital technology has changed the very notion of what being a human means . Retention of learned concepts can be defined as having the information stored in long-term memory in such a way that it can be readily retrieved, for example, in response to standard prompts . Retention attempts to describe the ways in which the student and the institution interact with one another. The theoretical principles convey the importance of having knowledge of student attributes that influence retention . This paper confirms the relationship between teacher's factors, student attitude, and student motivation where the role of the teacher in on-line education and the degree of student's attitude and motivation are substantiated. To further understand this relationship between these factors towards student 'retention of learned concepts of mathematics, the paper is explained and discussed in different sections as follows. II. # Research Objectives With the advanced technological innovation and development, the use of e-learning platform has become very prominent especially during the COVID-19 pandemic period. E-learning has become the primary way of teaching and learning and become a necessary teaching method (Moreno-Guerrero et al., 2020). This study presents contributing factors towards student's retention of mathematics via e-learning as a mode of delivery in teaching. The aims of this study to identify the influences and impacts of teacher's influence, student attitude, and motivation on student's retention of mathematics which can be observed when teaching is delivered and learning is achieved online. The main objective of this study is to identify the factors that influence retention and effectiveness of the e-learning method in student's ability to absorb, recall and maintain the learned concepts about mathematics. # III. # Method of Investigation a) Research Design and Method The study is a quantitative research developed is quantitative. A case study has been designed to measure the teacher's factor, students' attitude, and students' motivation towards student's retention of learned concepts in mathematics. The delivery of teaching and learning was done through the use of elearning as an emerging methodology. To assess the said factors, the study was done through correlational research. The total number of population consisted of 101 grade 12 STEM students has been covered, for it serves the purpose of the study. To find out the relationship and significant difference of the variables of the study, a self-made questionnaire was used gather the needed data. The questionnaire was made by the researchers in accordance with the current study. # b) Instrumentation The study took place at the University of Perpetual Help System -Pueblo de Panay, Roxas City, Capiz, Philippines. All STEM students of Grade 12 were covered to gather the information. The questionnaire has only one part which measures the student's retention in terms of teacher factor, student's attitude and student's motivation towards student's retention of learned concepts using five-point Likert Scale. # c) Sample Design For statistical analysis the data were collected from Grade 12 STEM students, all are active users of elearning platform of the university. There were 101 participants and they were given a structured questionnaire to identify and perform the relationship of every variable using correlation analysis. Cronbach's Alpha was used to determine the reliability of each item from the questionnaire. This study is quantitative with the support of SPSS. # d) Pilot Testing The number of participants was identified based on the 15% of total Grade-12 STEM students and it was conducted in Grade-11 STEM students first in order to test the applicability and objectivity of the research tool. # e) Data Analysis and Results # i. Data Analysis and Results Pearson r correlation analysis is utilized for measuring the model that consists of validity test. All factors are tested to be greater than 0.5. In the reliability test, Cronbach's Alpha value is determined and found to be higher than 0.8. This is a manifestation that questions under each construct are significantly valid and reliable with Sig.(2-tailed) = 0.000 < p = 0.05 and r(x,y) ? 0.5 > r = 0.195 in order to measure the teacher's factor, students' attitude and perceived enjoyment towards students' retention in mathematics using e-learning platform. ii. Result and Hypothesis Testing After signifying the validity of the measurement model, the next step was to hypothesize the significant difference and relationship using paired T-test and person r. The results based on the structural model support that all proposed hypotheses were supported by the data. Teacher Factor (mean = 4.4072, SD = .51276) is higher than Perceived Enjoyment (mean = 3.8430, SD = .64014) in terms of mean which signifies that teacher factor has higher effect than perceived enjoyment on student's retention. Based on the result, there is a high significant difference between teacher factor and perceived enjoyment with t = 10.318, df = 100 and sig. (2 tailed) = .000. Also, the correlation value of teacher factor and perceived enjoyment is equal to .51276 which indicates that there is a positive or direct relationship between these two variables. Teacher Factor (mean = 4.4072, SD = .51276) is higher than Student attitude (mean = 3.2896, SD = .80291) in terms of mean which signifies that teacher factor has higher effect than student's attitude on student's retention. Based on the result, there is a high significant difference between teacher factor and student attitude with t = 13.885, df = 100 and sig. (2 tailed) = .000. Also, the correlation value of teacher factor and student attitude is equal to .308 which indicates that there is a positive or direct relationship between these two variables. Perceived Enjoyment (mean = 3.8430, SD = .64014) is higher than Student attitude (mean = 3.2896, SD = .80291) in terms of mean which signifies that perceived enjoyment has higher effect than student's attitude on student's retention. Based on the result, there is a high significant difference between teacher factor and student attitude with t = 9.821, df = 100 and sig. (2 tailed) = .000. Also, the correlation value of perceived enjoyment and student attitude is equal to .714 which indicates that there is a positive or direct relationship between these two variables. # IV. # Discussion and Conclusion This study examines the influence and impact of teacher's factor, student's motivation, and student's on student's ability to absorb, recall, and maintain the learned concepts in Mathematics of Grade 12 STEM students of the University of Perpetual Help System-Pueblo de Panay Campus, Roxas City, Philippines. The results of this study assemble by t-test and Pearson r which indicate that teacher factor, student attitude and student motivation towards students' retention. These findings support that these factors are significant and have a positive impact on the findings generated with the use of Paired t-test analysis. As part of the investigation, it reveals that based on 101 respondents who participated in the data collection; Teacher Factor has the highest influence on student's ability to absorb, recall and maintain the knowledge she or he learned. With the help of e-learning the students along with teacher factors, teacher was able to successfully and effectively deliver his lessons thus contributing to the success of teaching and learning. The findings show that teacher preparedness and ability to deliver his lesson through e-learning platform, teacher motivation, marking of learner's exercises, punctuality of teacher and teaching aid which fall under teacher factor should be considered in teaching mathematics. Teachers who are successful in establishing an online learning community encourage student participation and discourage lurking behavior. This was followed by the student motivation and student attitude have the least effect on student's retention. Based on the findings, the study recommends that, teachers should enrich better the teacher factor such as teacher preparedness, teacher motivation, marking of learner's exercises, teaching aid, together with student motivation and student attitude for these contribute to student's retention of learned concepts and knowledge in Mathematics. In order to make learning appears more profound, teachers should engage students in a more challenging online environment by making the lessons more interactive and the e-learning platform fun since students find it enjoyable to use. Furthermore, the study finds out that e-learning does not reduce education, learning process, between students and teacher. This only proves that retention rates for online students are much higher than for traditional, in-person students, for online learning increases access and makes it more likely that a student can finish a course or program. 10: Teacher's factor items correlationCorrelationsTOTAL (TEACHER FACTOR)Q1Pearson Correlation.738 **Sig. (2-tailed).000N101Q2Pearson Correlation.728 **Sig. (2-tailed).000N101Q3Pearson Correlation.694 **Sig. (2-tailed).000**. Correlation is significant at the 0.01 level(2-tailed). *. Correlation is significant at the 0.05 level(2-tailed). **. Correlation is significant at the 0.01 level(2-tailed). 2.0: Teacher factor Reliability StatisticsReliability StatisticsCronbach's Alpha Cronbach's Alpha Based on Standardized Items No. of Items.887.89410 21: Teacher factor Inter-Item Correlation MatrixInter-Item Correlation MatrixQ1Q2Q3Q4Q5Q6Q7Q8Q9Q10Q11.000.743.605.282.443.526.585.489.443.307Q2.7431.000.626.324.458.330.351.402.458.216Q3.605.6261.000.465.415.527.444.308.732.507Q4.282.324.4651.000.681.368.563.537.341.393Q5.443.458.415.6811.000.637.325.592.304.371Q6.526.330.527.368.6371.000.510.228.386.557Q7.585.351.444.563.325.5101.000.570.325.579Q8.489.402.308.537.592.228.5701.000.408.325Q9.443.458.732.341.304.386.325.4081.000.639Q10.307.216.507.393.371.557.579.325.6391.000Reliability StatisticsCronbach's Alpha Cronbach's Alpha Based on Standardized Items No. of Items.850.8647 3Year 2021491: Student attitude Inter-Item Correlation Matrix Inter-Item Correlation Matrix Table 3.0: Student attitude Reliability StatisticsVolume XXI Issue VII Version IQ1Q2Q3Q4Q9Q10Q11( H )Q1 Q2 Q3 Q4 Q9 Q10 Q11 Cronbach's Alpha 1.000 .433 .218 .400 .284 .218 .319 Table 4.0: Perceived enjoyment Reliability Statistics .433 .218 .400 .284 1.000 .285 .717 .256 .285 1.000 .591 .653 .717 .591 1.000 .675 .256 .653 .675 1.000 .285 .473 .591 .760 .368 .593 .563 .725 Reliability Statistics Cronbach's Alpha Based on Standardized Items No. of Items .218 .319 .285 .368 .473 .593 .591 .563 .760 .725 1.000 .593 .593 1.000 .893 .892Global Journal of Human Social Science© 2021 Global Journals 5.0: Statistics (Teacher Factor, Student Attitude and Perceived Enjoyment)MeanNStd. DeviationStd. Error MeanTeacher Factor4.4072101.51276.05102Perceived Enjoyment3.8430101.64014.06370Student Attitude3.2896101.80291.07989 51Paired Samples CorrelationsNCorrelationSig.Pair 1Teacher Factor & Perceived Enjoyment101.565.000Pair 2Teacher Factor & Student Attitude101.308.002Pair 3Perceived Enjoyment & Student Attitude101.714.000 52Paired Samples TestPaired Differences95% ConfidenceInterval of theDifferenceMeanStd. DeviationStd. Error MeanLowerUppertdfSig. (2-tailed)Pair 1 Teacher Factor -Perceived Enjoyment .56415.54950.05468.45567.6726310.318100.000Pair 2 Teacher Factor -Student Attitude1.11755.80887.08049.957871.2772313.885100.000Pair 3 Perceived Enjoyment -Student Attitude .55339.56630.05635.44160.665199.821100.000 Exploring the Factors in Student's Retention of E-Learning Mathematics: A Case of Grade 12 Senior High School Students at the University of Perpetual Help System-Pueblo de Panay Campus * Intrinsic motivation: an overlooked component for student success RAAugustyniak AZAbles PGuilford HLLujan RNCortright SEDi Carlo 10.1152/advan.00072.2016 Advances in Physiology Education 40 4 2016 * Student's Intentions to Use M-Learning: An Empirical Perspective from the Philippines ABombaes 10.5296/ber.v8i1.12305 Business and Economic Research 8 1 68 2017 * Blended learning, e-learning and mobile learning in mathematics education MCBorba PAskar JEngelbrecht GGadanidis SLlinares MSAguilar 10.1007/s11858-016-0798-4 ZDM -Mathematics Education 48 5 2016 * Learning with mobile technologies -Students' behavior LBriz-Ponce APereira LCarvalho JAJuanes-Méndez FJGarcía-Peñalvo 10.1016/j.chb.2016.05.027 Computers in Human Behavior 72 2017 * Repeated retrieval during learning is the key to long-term retention JDKarpicke HLRoediger 10.1016/j.jml.2006.09.004 Journal of Memory and Language 57 2 2007 * The impact of supplemental reading on vocabulary acquisition and retention with EFL learners in Taiwan HTMin Journal of National Taiwan Normal University: ? 53 1 2008 * E-learning in the teaching of mathematics: An educational experience in adult high school AJMoreno-Guerrero IAznar-Díaz PCáceres-Reche SAlonso-García 10.3390/MATH8050840 Mathematics 8 5 2020 * Measuring the Impact of E-learning Adoption : A Case of University of Perpetual Help SPanay De RCity ANBombaes 2019 5 * Community College. Instructions for My Mother's Funeral LRead 10.2307/j.ctt1b4cxbv.43 2017. 2005 * THE PRINCIPLES OF by BRussell 2017 * Teachers' Time Management and the Performance of Students: A Comparison of Government and Private Schools of ZSahito MKhawaja UMPanhwar ASiddiqui HSaeed 10.5430/wje.v6n6p42 Pakistan. World Journal of Education 6 6 2016 * How to improve teaching practices: The role of teacher motivation, organizational factors, and leadership practices EE JThoonen PJ CSleegers FJOort TT DPeetsma FPGeijsel 10.1177/0013161X11400185 Educational Administration Quarterly 47 3 2011 * Intrinsic motivation: an overlooked component for student success RAAugustyniak AZAbles PGuilford HLLujan RNCortright SEDicarlo 10.1152/advan.00072.2016 Advances in Physiology Education 40 4 2016 * Student's Intentions to Use M-Learning: An Empirical Perspective from the Philippines ABombaes 10.5296/ber.v8i1.12305 Business and Economic Research 8 1 68 2017 * Blended learning, e-learning and mobile learning in mathematics education MCBorba PAskar JEngelbrecht GGadanidis SLlinares MSAguilar 10.1007/s11858-016-0798-4 ZDM -Mathematics Education 48 5 2016 * Facts: Is Online Learning As Good As Face-To-Face Learning? LBriz-Ponce APereira LCarvalho JAJuanes-Méndez FJGarcía-Peñalvo 10.1016/j.chb.2016.05.02717 Computers in Human Behavior 72 2017 Learning with mobile technologies -Students' behavior * Repeated retrieval during learning is the key to long-term retention JDKarpicke HLRoediger 10.1016/j.jml.2006.09.004 Journal of Memory and Language 57 2 2007 * The impact of supplemental reading on vocabulary acquisition and retention with EFL learners in Taiwan HTMin Journal of National Taiwan Normal University: ? 53 1 2008 * E-learning in the teaching of mathematics: An educational experience in adult high school AJMoreno-Guerrero IAznar-Díaz PCáceres-Reche SAlonso-García 10.3390/MATH8050840 Mathematics 8 5 2020 * Measuring the Impact of E-learning Adoption : A Case of University of Perpetual Help SPanay De RCity ANBombaes 2019 5 * Community College. Instructions for My Mother's Funeral LRead 10.2307/j.ctt1b4cxbv.43 2017. 2005 * THE PRINCIPLES OF by BRussell 2017 * Teachers' Time Management and the Performance of Students: A Comparison of Government and Private Schools of ZSahito MKhawaja UMPanhwar ASiddiqui HSaeed 10.5430/wje.v6n6p42 Pakistan. World Journal of Education 6 6 2016 * How to improve teaching practices: The role of teacher motivation, organizational factors, and leadership practices EE JThoonen PJ CSleegers FJOort TT DPeetsma FPGeijsel 10.1177/0013161X1140018526 Educational Administration Quarterly 47 3 2011. 2016. November 18 What is Student Retention? -Definition & Effects