Academic Performance and Mental Ability of Students as Determinants in Passing the Licensure Examinations for Teachers   Tayaben I., Nieva A., Sadiwa.

Slides:



Advertisements
Similar presentations
BOARD POLICY GRADES 3, 6, 8. Passing grade on final report card in READING AND MATH Summer school not required, promote to next grade, participate in.
Advertisements

1 Selecting the best students. Undergraduate student selection Aims To recruit those students best able to benefit from the education the College offers,
Four girls soccer teams took a random sample of players regarding the number of goals scored per game. The results are below. Use a significance level.
Click now to begin playing
Looking Good, Teaching Well? Linking Liking, Looks, and Learning Regan A. R. Gurung, Kristin M. Grudzielanek, and Christina J. Tosh Attractiveness is a.
Christine Bastedo Robert Magyar Spring,  Determine if students are meeting learning objectives across all sections of PSY 121, Methods and Tools.
MSSTL10-Carlow IT May  Setting the scene  Initial phase of research  Aim of presentation  Profiling at risk students  Predicting failure of.
Assessing Achievement and Aptitude: Applications for Counseling Chapter 8.
What Makes For a Good Teacher and Who Can Tell? Douglas N. Harris Tim R. Sass Dept. of Ed. Policy Studies Dept. of Economics Univ. of Wisconsin Florida.
Charles Holden, MD- Associate Program Director Thomas Hartranft, MD – Program Director Darrell Spurlock, Jr. PhD – Director of Research Mount Carmel Health.
By Jayelle Hegewald, Michele Houtappels and Melinda Gray 2013.
ICT TEACHERS` COMPETENCIES FOR THE KNOWLEDGE SOCIETY
Sex Differences in Math Test Performance What Do They Mean? Caitilyn Allen Professor of Plant Pathology and Women’s Studies U. Wisconsin-Madison.
Student Achievement and Predictors of Student Achievement in a State Level Agricultural Mechanics Career Development Event Edward Franklin Glen Miller.
AVID PROGRAM Advancement Via Individual Determination [L. avidus]: eager for knowledge.
1 Predicting Success in Math: The relationship between high school courses and remedial math in college Brandon Lagerquist Northshore School District Paul.
COMPASS National and Local Norming Sandra Bolt, M.S., Director Student Assessment Services South Seattle Community College February 2010.
Meryle Weinstein, Emilyn Ruble Whitesell and Amy Ellen Schwartz New York University Improving Education through Accountability and Evaluation: Lessons.
Copyright © Allyn & Bacon 2008 This multimedia product and its contents are protected under copyright law. The following are prohibited by law: any public.
McMillan Educational Research: Fundamentals for the Consumer, 6e © 2012 Pearson Education, Inc. All rights reserved. Educational Research: Fundamentals.
Correlation and Regression PS397 Testing and Measurement January 16, 2007 Thanh-Thanh Tieu.
Assessment Update Report to the University Senate 3 October 2006.
EDU 8603 Day 6. What do the following numbers mean?
1 Self-Regulation and Ability Predictors of Academic Success during College Anastasia Kitsantas, Faye Huie, and Adam Winsler George Mason University.
Factors Predicting Individual Health among Pilgrims of Kurdistan County: an application of Health Belief Model.
Locus of Control & Children’s Performance in Schools Jennifer Elias, Don Ghrist, Negar Zivari California State University, Northridge.
Self-assessment Accuracy: the influence of gender and year in medical school self assessment Elhadi H. Aburawi, Sami Shaban, Margaret El Zubeir, Khalifa.
Copyright © 2010, SAS Institute Inc. All rights reserved. How Do They Do That? EVAAS and the New Tests October 2013 SAS ® EVAAS ® for K-12.
The Correlation between Senior High School Students’ Vocabulary Size and Reading Performance in the College Entrance Examination in Taiwan.
Peer Reviewer - Basic Workshop 2 Prof Hala Salah Consultant in NQAAP Prof Hussein El-Maghraby Member, NQAAP.
The Relationship between NMAT scores and the Rate of Taking Remedial Examinations during the First Year in Medical School of Entrants to University.
Properties of the Binomial Probability Distributions 1- The experiment consists of a sequence of n identical trials 2- Two outcomes (SUCCESS and FAILURE.
Copyright © 2010, SAS Institute Inc. All rights reserved. How Do They Do That? EVAAS and the New Tests October 2013 SAS ® EVAAS ® for K-12.
SECOND EDITION Chapter 5 Standardized Measurement and Assessment
Exam 4 Review. Correlation In a study examining the relation of math ability to belief that math ability was innate, belief was considered the predictor.
Participation in Math Class: The Effect on Student Achievement By: Nicolas Millet.
Valkova Inna, PhD, Director of the Center for Educational Assessment and Teaching Methods. Paris, November 2014 The Impact of Pre-school education on the.
Quantitative Literacy Assessment At Kennedy King College Fall 2013 DRAFT - FOR DISCUSSION ONLY 1 Prepared by Robert Rollings, spring 2014.
Consistency and Meaningfulness Ensuring all efforts have been made to establish the internal validity of an experiment is an important task, but it is.
Analysis of AP Exam Scores
Participants & Procedure
Dr. Ruth C. Steidinger.
Standard Level Diploma
Teaching Undergraduate Statistics without Math
Scott L Massey PhD PA-C Slippery Rock University USA
Maher Abu-Hilal Sultan Qaboos University With Sahar Al-Abri
Regression to Predict Absences on MAP Scores
Indiana University – Purdue University Indianapolis
American Evaluation Association Conference November 10, 2010
Ghulam Muhammad Ashrafi SHAFFAQ YOUSAF
2. Quality Assurance Unit (QAU)
Bowden, Shores, & Mathias (2006): Failure to Replicate or Just Failure to Notice. Does Effort Still Account for More Variance in Neuropsychological Test.
Statistical Inference
Why Consider Becoming a Teacher?
Carrie O’Reilly, Ph.D., M.S.N., RN Touro University Nevada
HONORING THE PAST, INSPIRING THE FUTURE
PRUDENTIAL Future Business Computing Institute A PATH ON YOUR JOURNEY
Analytics in Higher Education: Methods Overview
Xxxx Xxxxxx: University of Nebraska-Lincoln
Student Success In A Block Immersion, Mastery Learning BSN Program Marie Rolf EdD, MSN, RN; Susan Watson, PhD, FNP-BC; Margaret Kroposki, PhD, RN Roseman.
Propensity Score Matching Makes Program Evaluation Easy
David Pieper, Ph.D. STATISTICS David Pieper, Ph.D.
Overview of the GRE Program
Student Satisfaction Results
Predicting Students’ Course Success Using Machine Learning Approach
South Side High School in the “top 100”
Approaches to Teaching and Learning in the MYP: Session 5
Michael Pilant, Texas A&M University
PERFORMANCES OF STUDENT- APPLICANTS FROM SELECTED FEEDER SCHOOLS IN THE DLSU-DASMARIÑAS COLLEGE ENTRANCE TEST FOR THREE CONSECUTIVE SCHOOL YEARS ( ,
Review Session: Week 9 Intelligence & Testing AP Psychology
Presentation transcript:

Academic Performance and Mental Ability of Students as Determinants in Passing the Licensure Examinations for Teachers   Tayaben I., Nieva A., Sadiwa J., Sheila Masangcay S., Batulayan N., MICHELLE T. COLLADO Adventist University of the Philippines

PROBLEM Teachers’ educational attainment, teachers’ length of service, quality of library facilities, quality of laboratory facilities, students’ intelligence quotient, and students’ grade point average formed a very significant set of predictors for passing LET. (While Quiambao et al., (2015)

PROBLEM Board exam Academic grades (Pachejo & Allaga, 2013). There is a weak relationship between academic grades and board exam result of their LET takers. LE is important in shaping the outcomes of the organization ((Pachejo & Allaga, 2013). These conflicting results led to the conduct of this study. (Pachejo & Allaga, 2013).

PROBLEM 2008 - 2016 National Passing Rate Guitul University* Passing Rate 33.78% 43.07% …Guitul University got an average of 43.07 % in board exams for the past 8 years (Professional Regulatory Commission, 2008-2016). Pseudonym*

PURPOSE OF THE STUDY How students in different fields of specialization performed in the licensure exam The study aimed to determine predictors of the Licensure Examination for Teachers (LET):

PURPOSE OF THE STUDY b. Know if there is a relationship between: -academic performance -scholastic intelligence (OLSAT) -licensure exam results in four components, i.e., general, professional, specialization, and overall results

METHODS  The participants consisted of LET first takers during the past three years (2014 -2016) It included the Education graduates of various majors who took the licensure exam who also have an OLSAT test result This study used descriptive-correlational design Purposive sampling technique was used in selecting the respondents of this study

Research Problem What is the mental ability (OLSAT) of the respondents? This study determined predictors for LET results based on students GPA and OLSAT results. Specifically, it answers the following research questions: Also, their mental ability was categorized using mean and standard deviation.

MENTAL ABILITY Computed Mean and Standard Deviation of Respondents’ OLSAT   MEAN SD MIN MAX VI OLSAT 3.34 1.28 1 6 Average The result shows that the mental ability of the respondents before entering college is average, with a mean of 3.34 with the minimum score of below average and with the maximum score considered as an average level. The standard deviation of all OLSAT results of the respondents is 1.28.

Research Problem 2. Is there a significant relationship between Academic Performance and LET? The relationship between Academic Performance and LET result were analyzed using correlational approach

ACAD PERFORMANCE & LET presents the correlation of the Academic Performance and LET by components classified as Professional Education (AP-LET), General Education (AP-LET) and Field of Specialization (AP-LET) as well as Overall (AP-LET) to determine the relationship between them. The Overall Academic Performance and LET result have also significant relationship which also implies that whenever the AP is high then LET is high but it does not necessarily mean that if AP is high then students will pass LET

ACAD PERFORMANCE & LET This finding is parallel to the study conducted by Chan-Rabanal (2016), which stated that academic achievement is significantly related to the LET performance. The Overall Academic Performance and LET result have also significant relationship which also implies that whenever the AP is high then LET is high but it does not necessarily mean that if AP is high then students will pass LET

Research Problem 3. Is there a significant relationship between mental ability (OLSAT) and LET? the relationship between OLSAT and LET results were analyzed using correlational approach

LET AND MENTAL ABILITY shows that there is a significant relationship between OLSAT and the three components of LET such as Professional Education-LET Rating, General Education-LET Rating, Field of Specialization-LET Rating as well as the Overall Rating of the LET takers. It implies that whenever the OLSAT is high then LET is high also, but it does not necessarily mean that if OLSAT is high then students will pass the LET.

Student-related predictors like: Teaching Aptitude Test (TAT) attendance in LET review classes, average grade in 4th High school score in the College Admission Test, score in the teaching aptitude test academic achievement (5yrs.) LET The result is supported by the study conducted by (Visco, 2015). They have significant relationship in passing the rate, but it does not necessarily means that if you got high scores of these predictors you will passed the LET exam (Visco, 2015)

Research Problem 4.Which among the academic performance field and mental ability significantly predict LET performance? The Academic Performance represented by GPA and mental ability by OLSAT as predictors for LET performance were analyzed using logistic regression approach to find a sufficient evidence if GPA and OLSAT results significantly predict LET performance. The binary logistic model is used to estimate the probability of the binary response ba

PREDICTORS FOR LET It shows that the significant predictors of LET performance given by the researcher are only OLSAT (p=.001) and Professional Education (p=.006) while General Education (p=.656) and Field of Specialization (.514) do not significantly predicts LET performance as shown.

PREDICTORS FOR LET This study is consistent to the study of Kart (2016) in Liberty University that there is a positive and significant correlational and predictive relationship between TASKS Reading and Math and both the Stanford 10 Achievement Test and the OLSAT.

Conclusion The study found out that the students have an average score in their OLSAT and good academic performance. In the analysis of data, the college has a poor performance in LET but not failing.

Conclusion Both the students’ academic performance and OLSAT correlate positively to the LET results. The study concluded that only professional education under academic performance and OLSAT can be used as predictors for LET results.

Recommendation Guitul University* may strengthen its programs particularly in the other specializations that have lower performance in LET. Also, it may revisit its entrance requirements particularly on the high school GPA of the applicants.

MICHELLE T. COLLADO, MA Coordinator, Special Education Area College of Education Adventist University of the Philippines