以作者名、篇名、關鍵字或DOI查詢

各期目錄» MORE

69卷(2024)
68卷(2023)
67卷(2022)
66卷(2021)
65卷(2020)
64卷(2019)
63卷(2018)
62卷(2017)
61卷(2016)
60卷(2015)
59卷(2014)
58卷(2013)
57卷(2012)
56卷(2011)
55卷(2010)
54卷(2009)
53卷(2008)
52卷(2007)
51卷第2期(2006.10)
51卷第1期(2006.4)
50卷第2期(2005.10)
50卷第1期(2005.4)
49卷第2期(2004.10)
49卷第1期(2004.4)
48卷第2期(2003)
48卷第1期(2003)
47卷第2期(2002.10)
47卷第1期(2002.4)
46卷第2期(2001.10)
46卷第1期(2001.4)
45卷第2期(2000.10)
45卷第1期(2000.4)
44卷第1.2期(1999)
43卷第2期(1998.10)
43卷第1期(1998.4)
42期革新版(1997.10)
31～41期(1986-1996)
21～30期(1976-1985)
11～20期(1966-1975)
1～10期(1956-1965)
《師大學報》2024年69卷2期專題徵稿啟事（截稿日113/03/31）      賀！《教育科學研究期刊》榮獲2016-2018年科技部臺灣人文及社會科學期刊評比收錄於第一級核心期刊!      《教育科學研究期刊》自第64卷第1期起不再出版紙本期刊     

期刊目錄列表 - 69卷(2024) - 【教育科學研究期刊】69(2)六月刊
Directory
回上一頁

探討臺灣青少年因應新冠疫情之學習適應與幸福感差異性和預測力
作者:國立中山大學教育研究所蕭文絜、銘傳大學通識教育中心魯盈讌、高雄市文府國中學務處林俊平、中山醫學大學通識教育中心洪瑞兒

卷期：69卷第2期
日期：2024年06月
頁碼：101-134
DOI：https://doi.org/10.6209/JORIES.202406_69(2).0004

摘要：
本研究旨在探討新冠疫情期間臺灣青少年學習適應與幸福感的現況與其相關。預試階段以便利取樣選取120位青少年填寫「臺灣中學生因應新冠疫情學習適應與幸福感問卷」，內容包含「基本資料」、「學習適應量表」及「幸福感量表」三部分。兩份量表─「學習適應量表」及「幸福感量表」，再以探索性因素分析和內部一致性信度檢驗兩份研究工具之信、效度後形成正式量表，其中，「學習適應量表」萃取出「到校上課」、「主動學習」、「遠距學習」等因素，共解釋57.86%變異量，總量表內部一致性信度為.88；「幸福感量表」萃取出「生活態度」、「生活滿意度」、「自我認同」等因素，共解釋60.19%變異量，總量表內部一致性信度為.95。正式施測階段以Google表單蒐集890位青少年資料並進行獨立樣本t檢驗、變異數分析，比較不同背景青少年在新冠疫情期間學習適應與幸福感之差異。最後再以結構方程模式檢驗各個潛在變數間之相關性及其預測力。資料分析結果發現，新冠疫情期間女學生、國中生和北部青少年分別比男學生、高中職學生及南部學生更期待返校實體上課。女生的自我認同感分數顯著高於男生，國中生的幸福感顯著高於高中職學生，居住南部青少年的生活滿意度顯著高於居住北部青少年。此外，結構方程模式分析發現「到校上課」能顯著正向預測臺灣青少年的「幸福感」。本研究結果可以作為未來相關研究及學校面臨重大疫情時規劃課程與教學之參考。

關鍵詞：幸福感、青少年、結構方程模式、新冠疫情、學習適應

《詳全文》

參考文獻：
    » 展開更多
    中文APA引文格式蕭文絜、魯盈讌、林俊平、洪瑞兒（2024）。探討臺灣青少年因應新冠疫情之學習適應與幸福感差異性和預測力。教育科學研究期刊，69（2），101-134。https://doi.org/10.6209/JORIES.202406_69(2).0004
    APA FormatHsiao, W.-C., Lu, Y.-Y., Lin, C.-P., & Hong, Z.-R. (2024). Exploring the Differences and Prediction in Learning Adaptation and Well-Being Among Taiwanese Adolescents During the COVID-19 Pandemic Period. Journal of Research in Education Sciences, 69(2), 101-134.

    Journal directory listing - Volume 69 (2024) - Journal of Research in Education Sciences【68(6)】June
    Directory
    Top

    Exploring the Differences and Prediction in Learning Adaptation and Well-Being Among Taiwanese Adolescents During the COVID-19 Pandemic Period
    Author: Wen-Chieh Hsiao  ( Institute of Education, National Sun Yat-sen University ), Ying-Yan Lu (General Education Center, Ming Chuan University), Chun-Ping Lin(Office of Student Affairs, Kaohsiung Municipal Wun-Fu Junior High School), Zuway-R Hong (Center for General Education, Chung Shan Medical University

    Vol.&No.：Vol. 69, No. 2
    Date：June 2024
    Pages：101-134
    DOI：https://doi.org/10.6209/JORIES.202406_69(2).0004

    Abstract：
    The COVID-19 pandemic led to considerable global morbidity and mortality between 2019 and 2022, prompting governments worldwide to close schools to prevent virus transmission. In early 2020, more than 180 countries suspended face-to-face classes in schools, disrupting the education of millions of students and leading to learning losses for children and adolescents. Investigations have revealed that some students lacked the necessary equipment for online learning and were therefore prevented from attending classes, while others intentionally skipped classes. I addition, surveys have indicated that the number of adolescents and young adults self-reporting mental health problems increased because of social isolation and a lack of face-to-face interaction with others. These findings suggest that during the COVID-19 pandemic period, poor learning performance and the mental health status of adolescents required close attention. In Taiwan, schools were closed twice from 2020 to 2022 to protect students from COVID-19.
    Learning adaptation refers to students’ learning skills, study plans, learning habits, learning interests and attitudes, learning environment, learning concepts, and physical and mental health. Researchers have suggested that learning adaptation is a dynamic process in which individuals adopt appropriate learning skills and strategies and use environmental resources to solve learning problems that they encounter. An individual’s well-being derives from their subjective perception of happiness rather than objective measures employed by others. The concept of subjective well-being (SWB) was originally proposed to encompass life satisfaction, positive mood, and negative mood. In 1989, Ryff redefined SWB and proposed the concept of psychological well-being (PWB), which covers six dimensions: self-acceptance, positive relationships with others, autonomy, environmental mastery, purpose in life, and personal growth. Researchers have since suggested that although PWB and SWB differ structurally, they correlate to varying degrees with factors including gender, age, educational status, emotion, self-awareness, and environment. In addition, related studies have found that well-being can elevate learning motivation and promote academic performance.
    The present study explored the differences and prediction in learning adaptation and well-being among Taiwanese adolescents during the COVID-19 pandemic period. The researchers constructed a research framework based on Bandura’s triadic theory of learning and related research findings. The following hypotheses were proposed: (1) The learning adaptation status of Taiwanese adolescents during the COVID-19 pandemic period differed on the basis of gender, educational status, and region of residence. (2) Each individual’s state of well-being during the COVID-19 pandemic varied depending on gender, educational status, and region of residence. (3) Taiwanese adolescents’ learning adaptation was positively correlated with their happiness levels during the COVID-19 pandemic. (4) The status of Taiwanese adolescents’ learning adaptation predicted their well-being during the COVID-19 pandemic.
    The researchers developed and validated two well-structured scales: the Learning Adaptation Scale and the Well-Being Scale. In the pilot stage of this study, 120 adolescents participated, and in the formal stage, 890 adolescents were recruited using Google Forms. Subsequently, the researchers performed exploratory factor analysis and internal consistency tests and conducted independent-samples t tests, an analysis of variance, and structural equation modeling to compare differences and relationships between adolescents’ learning adaptation and well-being in relation to multiple demographic variables during the COVID-19 pandemic. The Learning Adaptation Scale extracted three factors— namely going to school, active learning, and distance learning— which explained 57.859% of the variation. The scale’s overall internal consistency reliability was .878. The Well-Being Scale extracted three factors— namely life attitude, life satisfaction, and self-identity— which explained 60.187% of the variation. The scale’s overall internal consistency reliability was .950.
    The data analysis results revealed that during the suspension of in-person classes due to the COVID-19 pandemic, girls were more eager to return to school than were boys, junior high school students were more willing to return to school than were high school students, and adolescents living in northern Taiwan more eager to return to school than were those living in southern Taiwan. Girls had significantly higher self-identity scores than boys, and junior high school students scored significantly higher in self-efficacy than high school students did. Additionally, students living in southern Taiwan had significantly higher scores for life satisfaction than did those living in northern Taiwan. Finally, structural equation modeling revealed that “attending school” significantly and positively predicted the well-being of Taiwanese adolescents.
    This paper proposes the following suggestions for further research and application of the present findings in education: (1) Collect a higher quantity of samples using a random sampling selection method and conduct case studies or focus group interviews encompassing more regions of Taiwan to gain a clearer understanding of the current situation of adolescents’ learning adaptation and well-being throughout Taiwan. (2) Given that adolescents’ learning adaptation and well-being continuously change because of evolutions in environments and related factors, conducting a longitudinal study and establishing a large database to track such changes are highly recommended. Maintaining such a database could help identify problems early and could facilitate the formulation of effective strategies for improvement. Such a database could also provide references for education-related policy formulation and strategies. (3) The results of this study indicate that in Taiwan, an adolescent’s learning environment can effectively improve their well-being. Since online learning is regarded as another approach other than traditional learning. Schools at all levels should develop comprehensive support plans as soon as possible to address potential major and immediate changes in education. As developing and evaluating long-distance courses and teaching methods, creating a supportive learning atmosphere and encouraging communication and interaction between teachers and students should be considered crucial evaluation indicators given that these factors can consistently maintain high learning motivation among students. In summary, the results of this study could serve as a reference for the development of long-distance curricula, teaching plans, and related research that could be adopted during severe epidemic periods in the future.

    Keywords：well-being, adolescent, structural equation modeling, COVID-19 pandemic, learning adaptation