Econometric Evidence on Statistical Anxiety of Engineering Students during the New Normal Setup

Students' anxiety is one of the hindrances to good academic achievement due to its adverse impact on cognitive attitudes. This study aimed to ascertain the impact of socio-economic profile and learning experiences that are affected by the COVID-19 pandemic concerning students' anxiety in...

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Main Authors: Emily L. Casinillo, Eusebio R. Lina, Jr., Leomarich F. Casinillo, Paulo G. Batidor, Meralyn R. Lebante
Format: Article
Language:English
Published: University of Negros Occidental-Recoletos Graduate School 2022-12-01
Series:Philippine Social Science Journal
Subjects:
Online Access:https://philssj.org/index.php/main/article/view/564
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author Emily L. Casinillo
Eusebio R. Lina, Jr.
Leomarich F. Casinillo
Paulo G. Batidor
Meralyn R. Lebante
author_facet Emily L. Casinillo
Eusebio R. Lina, Jr.
Leomarich F. Casinillo
Paulo G. Batidor
Meralyn R. Lebante
author_sort Emily L. Casinillo
collection DOAJ
description Students' anxiety is one of the hindrances to good academic achievement due to its adverse impact on cognitive attitudes. This study aimed to ascertain the impact of socio-economic profile and learning experiences that are affected by the COVID-19 pandemic concerning students' anxiety in learning statistics. The study used descriptive measures and econometric models to elucidate the anxiety level and its predictors of engineering students in a state university. Result reveals that the mean students' perception score for their anxiety level is 34.19 (SD=4.94) and is classified as "anxious". This implies that students are experiencing uncomfortable moments and distressing learning behavior due to the adverse impact of the pandemic on the educational system. The econometric model reveals that older and female students are more anxious about learning statistics online. Findings showed that the level of difficulty and less creativity in statistics lessons contributes to the anxiety level of students. In conclusion, instructors/professors must motivate their students and build their interest in learning statistics by giving them realistic and enjoyable activities that suit online education. Furthermore, instructors/professors must undergo training that develops and improves their teaching strategies in statistics to become competitive educators in online learning amid the pandemic.
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spelling doaj.art-f796bee47e4e4064859db5fb9951204e2022-12-23T07:37:08ZengUniversity of Negros Occidental-Recoletos Graduate SchoolPhilippine Social Science Journal2672-31072704-288X2022-12-015410.52006/main.v5i4.564Econometric Evidence on Statistical Anxiety of Engineering Students during the New Normal SetupEmily L. Casinillo0Eusebio R. Lina, Jr.1Leomarich F. Casinillo2Paulo G. Batidor3Meralyn R. Lebante4Department of Mathematics, Visayas State University, Baybay City, Leyte, PhilippinesDepartment of Mathematics, Visayas State University, Baybay City, Leyte, PhilippinesDepartment of Mathematics, Visayas State University, Baybay City, Leyte, PhilippinesDepartment of Statistics, Visayas State University, Baybay City, Leyte, PhilippinesDepartment of Statistics, Visayas State University, Baybay City, Leyte, Philippines Students' anxiety is one of the hindrances to good academic achievement due to its adverse impact on cognitive attitudes. This study aimed to ascertain the impact of socio-economic profile and learning experiences that are affected by the COVID-19 pandemic concerning students' anxiety in learning statistics. The study used descriptive measures and econometric models to elucidate the anxiety level and its predictors of engineering students in a state university. Result reveals that the mean students' perception score for their anxiety level is 34.19 (SD=4.94) and is classified as "anxious". This implies that students are experiencing uncomfortable moments and distressing learning behavior due to the adverse impact of the pandemic on the educational system. The econometric model reveals that older and female students are more anxious about learning statistics online. Findings showed that the level of difficulty and less creativity in statistics lessons contributes to the anxiety level of students. In conclusion, instructors/professors must motivate their students and build their interest in learning statistics by giving them realistic and enjoyable activities that suit online education. Furthermore, instructors/professors must undergo training that develops and improves their teaching strategies in statistics to become competitive educators in online learning amid the pandemic. https://philssj.org/index.php/main/article/view/564Statistics education, Statistical anxiety, Learning Statistics online, Econometric modeling, State University, Philippines
spellingShingle Emily L. Casinillo
Eusebio R. Lina, Jr.
Leomarich F. Casinillo
Paulo G. Batidor
Meralyn R. Lebante
Econometric Evidence on Statistical Anxiety of Engineering Students during the New Normal Setup
Philippine Social Science Journal
Statistics education, Statistical anxiety, Learning Statistics online, Econometric modeling, State University, Philippines
title Econometric Evidence on Statistical Anxiety of Engineering Students during the New Normal Setup
title_full Econometric Evidence on Statistical Anxiety of Engineering Students during the New Normal Setup
title_fullStr Econometric Evidence on Statistical Anxiety of Engineering Students during the New Normal Setup
title_full_unstemmed Econometric Evidence on Statistical Anxiety of Engineering Students during the New Normal Setup
title_short Econometric Evidence on Statistical Anxiety of Engineering Students during the New Normal Setup
title_sort econometric evidence on statistical anxiety of engineering students during the new normal setup
topic Statistics education, Statistical anxiety, Learning Statistics online, Econometric modeling, State University, Philippines
url https://philssj.org/index.php/main/article/view/564
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