Latent Profile Analysis of learning strategy level and influence factors in middle & high school students

2020 ◽  
Vol 36 (1) ◽  
pp. 105-135
Author(s):  
Jaehong Jang ◽  
Innwoo Park ◽  
Gayoung Yun
Keyword(s):  
High School ◽  
High School Students ◽  
Latent Profile Analysis ◽  
Learning Strategy ◽  
Profile Analysis ◽  
Influence Factors ◽  
School Students ◽  
Latent Profile

scholarly journals A Latent Profile Analysis of Anxiety among Junior High School Students in Less Developed Rural Regions of China

2020 ◽  
Vol 17 (11) ◽  
pp. 4079
Author(s):  
Xiaotong Wen ◽  
Yixiang Lin ◽  
Yuchen Liu ◽  
Katie Starcevich ◽  
Fang Yuan ◽  
...  
Keyword(s):  
High School ◽  
High School Students ◽  
Junior High School ◽  
Latent Profile Analysis ◽  
Junior High ◽  
Profile Analysis ◽  
Junior High School Students ◽  
School Students ◽  
Severe Anxiety ◽  
Latent Profile

The purpose of this study is to understand the potential types of anxiety among middle school students by analyzing the current situation of middle school students’ anxiety and its influencing factor. This study used a multistage stratified cluster random sampling to investigate students in grades 9 to 12. Mplus 7.4 was used for latent profile analysis. A total of 900 junior high school students were investigated. The junior high school students were divided into three subgroups by latent profile analysis. A total of 223 junior high school students experienced severe anxiety, accounting for 24.78%. Multivariate logistic regression analysis revealed that males are more likely to develop moderate and severe anxiety. The development of severe anxiety (OR = 0.562, p < 0.05) is less likely for students in schools with adequate mental health support. Students who were confident with their academic performances were less likely to develop moderate anxiety (OR = 0.377, p < 0.05). Students with extreme academic pressure are more likely to develop moderate anxiety (OR = 6.523, p < 0.05) and severe anxiety (OR = 11.579, p < 0.05). It is recommended that mental health counseling be set up in schools and to provide professional counselors to prevent serious anxiety for students. This paper also demonstrates a need to reduce students’ academic pressure.

scholarly journals Affective Learning Profiles in Compulsory High School Physical Education: An Instructional Communication Perspective

2013 ◽  
Vol 32 (1) ◽  
pp. 78-99 ◽  
Author(s):  
Collin Webster ◽  
Diana Mîndrilă ◽  
Glenn Weaver
Keyword(s):  
High School ◽  
High School Students ◽  
Physical Education ◽  
Latent Profile Analysis ◽  
Sport Participation ◽  
Profile Analysis ◽  
Affective Learning ◽  
Instructional Communication ◽  
School Students ◽  
K 12

Affective learning is a major focus of the national K-12 physical education (PE) content standards (National Association for Sport and Physical Education [NASPE, 2004]). Understanding how students might fit into different affective learning subgroups would help extend affective learning theory in PE and suggest possible intervention strategies for teachers wanting to increase students’ affective learning. The present study used cluster analysis (CA) and latent profile analysis (LPA) to develop a two-level affective learning-based typology of high school students in compulsory PE from an instructional communication perspective. The optimal classification system had ten clusters and four latent profiles. A comparison of students’ class and cluster memberships showed that the two classification procedures yielded convergent results, thus suggesting distinct affective learning profiles. Students’ demographic and biographical characteristics, including gender, race, body mass index, organized sport participation, and free time physical activity, were helpful in further characterizing each profile.

Combining Webduino Programming With Situated Learning to Promote Computational Thinking, Motivation, and Satisfaction Among High School Students

2021 ◽  
pp. 073563312110399
Author(s):  
Ting-Ting Wu ◽  
Jian-Ming Chen
Keyword(s):  
High School ◽  
High School Students ◽  
Programming Languages ◽  
Situated Learning ◽  
Learning Strategy ◽  
Computational Thinking ◽  
Learning Motivation ◽  
School Students ◽  
Study Results ◽  
Significant Difference

Many countries have incorporated computational thinking (CT) and programming languages into their science and technology courses. Students can improve their CT ability by learning programming languages. Moreover, situated learning enables students to generate knowledge and master problem-solving skills through interaction with situations. This study incorporated Webduino learning and the situated learning strategy into a programming course and analyzed its impact on high school students’ CT ability, learning motivation, and course satisfaction. A quasi-experimental research method was adopted, wherein the experimental group was subjected to the situated learning strategy and the control group was subjected to a traditional teaching method. The study results revealed that integrating Webduino programming with situated learning could effectively improve five categories of CT skills; moreover, the activity models of situated learning enhanced the value and expectation dimensions of learning motivation. In addition, satisfaction with the course content and self-identity slightly improved. However, because teachers were required to elaborate on stories to promote learner engagement with life situations, the time available for programming was limited. Thus, no significant difference was observed in teaching satisfaction.

scholarly journals Key Facts about the Decision-making Process of High School Students Regarding Career Options

2021 ◽  
Author(s):  
Liviu Ciucan-Rusu
Keyword(s):  
High School ◽  
High School Students ◽  
High Schools ◽  
Personal Development ◽  
Online Survey ◽  
Influence Factors ◽  
International Mobility ◽  
School Students ◽  
Study Program ◽  
Future Career

As a dynamic transformation of the economy, companies put pressure on universities and other educational suppliers to deliver the labor force with new knowledge and skills required, to ensure their innovation and competitiveness. Because of these dynamics, students are also under pressure when they must decide about future jobs. There is also confusion in the mind of young adult that needs to bear the influence of public media, social media, online communities about the personal development in regional, national, or global environment. In this case, universities and high schools have to inform about trends and perspectives of future career and support students in their choice but they lack of communication capabilities or marketing aspects are overestimated. Our study is based on an online survey with more than 500 participants from Mures county high schools during the 2018-2019 academic year. Most of the student wants to continue their study at university 83,2 %. As a preferential channel of information about university programs students voted as very useful, university websites and meetings with representatives of faculties. The main fields students interested in are: business, engineering, informatics, medicine, public administration and law. Around 13.4% of the high school students intend to continue their study abroad. Almost half of the respondents have clear idea of study program to be chosen. Regarding the influence factors of their choice, family and acquaintances who are already university students have the higher impact rather than colleagues, friends and professors. When referring to criteria for choosing the future university, they favor the number of tax-free places and international mobility. Generally, we can say that students consider university the most important next step in their future career and they proof themselves rather independent to decide about this step. Our study also emphasizes significant levels of indecision and we will deepen our further research for better understanding of the phenomenon.

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