Dataset Information

Amotivation and influence of teacher support dimensions: A self-determination theory approach.

ABSTRACT: Based on self-determination theory the study seeks to examine influence of teacher autonomy support, structure and relatedness support on amotivation of middle school students. This correlational study based in Indian sub-continent establishes that all three dimensions of teacher support (i.e., teacher autonomy, teacher structure and teacher relatedness support) reduces amotivation however teacher structure have the strongest influence. No gender and age differences were reported for the study. Study highlights the importance of reverse side of motivation (amotivation) and predicates that teacher support is essential not only in increasing motivation but also in reducing amotivation. Training teachers is necessary to increase their ability of providing autonomy support, structure and relatedness support.

SUBMITTER: Banerjee R

PROVIDER: S-EPMC8264603 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Amotivation and influence of teacher support dimensions: A self-determination theory approach.

Banerjee Ranita R Halder Santoshi S

Heliyon 20210626 7

Based on self-determination theory the study seeks to examine influence of teacher autonomy support, structure and relatedness support on amotivation of middle school students. This correlational study based in Indian sub-continent establishes that all three dimensions of teacher support (i.e., teacher autonomy, teacher structure and teacher relatedness support) reduces amotivation however teacher structure have the strongest influence. No gender and age differences were reported for the study. ...[more]

PMID: 34278021

Similar Datasets

Project description:BackgroundRetaining participants in clinical trials is an established challenge. Currently, the industry is moving to a technology-mediated, decentralized model for running trials. The shift presents an opportunity for technology design to aid the participant experience and promote retention; however, there are many open questions regarding how this can be best supported. We advocate the adoption of a stronger theoretical position to improve the quality of design decisions for clinical trial technology to promote participant engagement.ObjectiveThis study aimed to identify and analyze the types of retention strategies used in published clinical trials that successfully retain participants.MethodsA systematic scoping review was carried out on 6 electronic databases for articles published from 1990 to September 2020, namely CINAHL, The Cochrane Library, EBSCO, Embase, PsycINFO, and PubMed, using the concepts "retention," "strategy," "clinal trial," and "clinical research." This was followed by an analysis of the included articles through the lens of self-determination theory, an evidence-based theory of human motivation.ResultsA total of 26 articles were included in this review. The motivational strategies identified in the clinical trials in our sample were categorized into 8 themes: autonomy; competence; relatedness; controlled motivation; branding, communication material, and marketing literature; contact, tracking, and scheduling methods and data collection; convenience to contribute to data collection; and organizational competence. The trials used a wide range of motivational strategies. Notably, the trials often relied on controlled motivation interventions and underused strategies to support intrinsic motivation. Moreover, traditional clinical trials relied heavily on human interaction and "relatedness" to support motivation and retention, which may cause problems in the move to technology-led decentralized trials. We found inconsistency in the data-reporting methods and that motivational theory-based approaches were not evident in strategy design.ConclusionsThis study offers direction and a framework to guide digital technology design decisions for future decentralized clinical trials to enhance participant retention during clinical trials. This research defines previous clinical trial retention strategies in terms of participant motivation, identifies motivational strategies, and offers a rationale for selecting strategies that will improve retention. It emphasizes the benefits of using theoretical frameworks to analyze strategic approaches and aid decision-making to improve the quality of technology design decisions.

Dataset Information

Amotivation and influence of teacher support dimensions: A self-determination theory approach.

Publications

Amotivation and influence of teacher support dimensions: A self-determination theory approach.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets