School support, perceived value and teachers' digital training adaptability: A multilevel moderated mediation model

被引:1
作者
Zhao, Yaqian [1 ]
Zhao, Keyun [1 ]
Wei, Shiqi [1 ]
机构
[1] Qufu Normal Univ, Sch Commun, Rizhao, Peoples R China
关键词
adaptability; cognitive support; digital training; emotional support; perceived value; DEMANDS-RESOURCES MODEL; JOB DEMANDS; PERSONALITY; ACCEPTANCE; MOTIVATION; WORKPLACE; RESPONSES; ADOPTION; NOVELTY; BIAS;
D O I
10.1002/pits.23331
中图分类号
G44 [教育心理学];
学科分类号
0402 ; 040202 ;
摘要
Digital training has significantly transformed the landscape of teacher professional development, introducing various uncertainties. In this context, adaptability can play a crucial role in helping teachers cope with stress and effectively navigate new and changing scenarios. However, existing research on adaptability has not adequately addressed the specific challenges and opportunities presented by digital training, nor has it thoroughly explored the interplay between external factors and individual characteristics. Therefore, this study is based on job demands-resources (JD-R) theory to explore the school-level (school support) and individual-level (perceived value) predictors that influence teachers' digital training adaptability (DTA) and their mechanisms of action through hierarchical linear model. To this end, a questionnaire was administered to 552 teachers from 55 schools who had participated in digital training. The results of multilevel regression analyses show that (1) emotional support and cognitive support have a significant positive effect on teachers' DTA; (2) perceived value plays a mediating role in the relationship among emotional support, cognitive support, and teachers' DTA; and (3) emotional support weakens the relationship between perceived value and teachers' DTA, but cognitive support enhances this relationship. The study discusses these results further to propose feasible recommendations for building a community that improves the support system and adopts evidence-based policy-making to enhance the effectiveness and relevance of training, thereby improving teachers' DTA.
引用
收藏
页码:437 / 456
页数:20
相关论文
共 70 条
[1]   Quantifying teacher resilience: Context matters [J].
Ainsworth, Steph ;
Oldfield, Jeremy .
TEACHING AND TEACHER EDUCATION, 2019, 82 :117-128
[2]  
Albers P., 2015, Global Education Review, V2, P46
[3]   Teaching and teacher education in the time of COVID-19 [J].
Allen, Jeanne ;
Rowan, Leonie ;
Singh, Parlo .
ASIA-PACIFIC JOURNAL OF TEACHER EDUCATION, 2020, 48 (03) :233-236
[4]  
[Anonymous], 2004, Supporting students in online, open and distance learning
[5]   Big data analytics capability for improved performance of higher education institutions in the Era of IR 4.0: A multi-analytical SEM & ANN perspective. [J].
Ashaari, Mohamed Azlan ;
Singh, Karpal Singh Dara ;
Abbasi, Ghazanfar Ali ;
Amran, Azlan ;
Liebana-Cabanillas, Francisco J. .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2021, 173
[6]   Predicting career adaptability through self-esteem and social support: A research on young adults [J].
Atac, Lale Oral ;
Dirik, Deniz ;
Tetik, Hilmiye Turesin .
INTERNATIONAL JOURNAL FOR EDUCATIONAL AND VOCATIONAL GUIDANCE, 2018, 18 (01) :45-61
[7]   Job Demands-Resources Theory: Taking Stock and Looking Forward [J].
Bakker, Arnold B. ;
Demerouti, Evangelia .
JOURNAL OF OCCUPATIONAL HEALTH PSYCHOLOGY, 2017, 22 (03) :273-285
[8]   THE MODERATOR MEDIATOR VARIABLE DISTINCTION IN SOCIAL PSYCHOLOGICAL-RESEARCH - CONCEPTUAL, STRATEGIC, AND STATISTICAL CONSIDERATIONS [J].
BARON, RM ;
KENNY, DA .
JOURNAL OF PERSONALITY AND SOCIAL PSYCHOLOGY, 1986, 51 (06) :1173-1182
[9]   Using HLM to investigate the relationship between traffic accident risk of private vehicles and public transportation [J].
Chen, Tzu-Ying ;
Jou, Rong-Chang .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2019, 119 :148-161
[10]   Diagnosing harmful collinearity in moderated regressions: A roadmap [J].
Chennamaneni, Pavan Rao ;
Echambadi, Raj ;
Hess, James D. ;
Syam, Niladri .
INTERNATIONAL JOURNAL OF RESEARCH IN MARKETING, 2016, 33 (01) :172-182