Predicting secondary school teachers’ acceptance and use of a digital learning environment: A cross-sectional study

Pynoo, Bram; Devolder, Pieter; Tondeur, Jo; Braak, Johan van; Duyck, Wouter; Duyck, Philippe

doi:10.1016/j.chb.2010.10.005

Cited by 266 publications

(248 citation statements)

References 32 publications

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“…These relationships have been supported by a number of technology adoption studies (e.g., Alshare and Lane 2011;Park et al 2007;Pynoo et al 2011). For example, Alshare and Lane (2011) obtained similar results regarding the effects of performance and effort expectancy on attitude in a study of students' perceived learning outcomes in enterprise resource planning courses.…”

Section: Discussionsupporting

confidence: 61%

“…For example, Alshare and Lane (2011) obtained similar results regarding the effects of performance and effort expectancy on attitude in a study of students' perceived learning outcomes in enterprise resource planning courses. Investigating secondary school teachers' acceptance and use of a digital learning environment called Smartschool, Pynoo et al (2011) also found that performance expectancy and effort expectancy affected their attitude. The authors argue that teachers had positive attitudes to Smartschool because they expected it to be useful (PE) and easy to use (EE).…”

Section: Discussionmentioning

confidence: 99%

“…Similar to perceived usefulness and rooted in the theoretical foundation of TAM by Davis et al (1989) and of DTPB by Taylor and Todd (1995b), perceived ease of use was found to significantly predict attitude in the context of IS/IT adoption. A number of studies (i.e., Park et al 2007;Pynoo et al 2007Pynoo et al , 2011 have provided significant empirical justification for this relationship. The analysis also suggests that after perceived ease of use with behavioural intention, it is the relationship between perceived ease of use and attitude which has been most frequently analysed, and the cumulative impact has been found significant.…”

Section: Effort Expectancymentioning

confidence: 99%

“…Performance considerations surrounding the system's use have often been seen as the user's major concerns (Taylor and Todd 1995b). A fair number of studies (e.g., Koh et al 2010;Park et al 2007;Pynoo et al 2011) have even analysed the impact of performance expectancy on attitude. Considering the above discussions regarding the significance of performance expectancy on attitude, the following hypothesis can be formulated:…”

Section: Performance Expectancymentioning

confidence: 99%

“…Therefore, designers, developers and policymakers should seek to enhance the ease of use and usefulness of the system so that the acceptance and use of such innovations may be managed more successfully. Possible ways to accomplish these objectives include more accurate representation of user requirements to software analysts, designers and developers; the selection and use (as benchmarks) of those eGov systems which are better aligned with user requirements and have wider acceptance; and effective communication of the system's capabilities through product brochures, live demonstrations and success stories (Alshare and Lane 2011;Koh et al 2010;Martin and Herrero 2012;Pynoo et al 2011).…”

Section: Implications For Practicementioning

confidence: 99%

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Citizens’ adoption of an electronic government system: towards a unified view

et al. 2015

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Sluggish adoption of emerging electronic government (eGov) applications continues to be a problem across developed and developing countries. This research tested the nine alternative theoretical models of technology adoption in the context of an eGov system using data collected from citizens of four selected districts in the state of Bihar in India. Analysis of the models indicates that their performance is not up to the expected level in terms of path coefficients, variance in behavioural intention, or the fit indices of the models. In response to the underperformance of the alternative theoretical models to explain the adoption of an eGov system, this research develops a unified model of electronic government adoption and tests it using the same data. The results indicate that the proposed research model outperforms all alternative models of technology adoption by explaining 77 % of variance in behavioural intention, with acceptable values of fit indices and significant relationships between each pair of hypothesised factors.

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Section: Discussionsupporting

confidence: 61%

Section: Discussionmentioning

confidence: 99%

Section: Effort Expectancymentioning

confidence: 99%

Section: Performance Expectancymentioning

confidence: 99%

Section: Implications For Practicementioning

confidence: 99%

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Citizens’ adoption of an electronic government system: towards a unified view

et al. 2015

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A meta‐analysis of the UTAUT model: Eleven years later

2016

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The unified theory of acceptance and use of technology (UTAUT) has been widely used to investigate factors influencing the adoption and use of information systems and technologies (IS/IT). However, studies using UTAUT are not conclusive in terms of statistical significance, direction, and magnitude. Through a meta-analysis of empirical studies on UTAUT from 2003 to 2013, we determine how parsimonious, accurate, and robust UTAUT is at predicting acceptance and use of technology. A meta-analysis of 74 publications reveals that performance expectancy, effort expectancy, and social influence explain IS/IT adoption, while behavioural intention is the most often measured dependent variable operationalized as a proxy for system use, supporting the strength of UTAUT as an explanatory model of IS/IT acceptance and use.

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Psychotherapists' acceptance of telepsychotherapy during the COVID‐19 pandemic: A machine learning approach

Békés

Doorn

Zilcha‐Mano

et al. 2021

Clin Psychology and Psychoth

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Objective This study aimed to develop predictive models of three aspects of psychotherapists' acceptance of telepsychotherapy (TPT) during the COVID‐19 pandemic, attitudes towards TPT technology, concerns about using TPT technology and intention to use TPT technology in the future. Method Therapists ( n = 795) responded to a survey about their TPT experiences during the pandemic, including quality of the therapeutic relationship, professional self‐doubt, vicarious trauma and TPT acceptance. Regression decision tree machine learning analyses were used to build prediction models for each of three aspects of TPT acceptance in a training subset of the data and subsequently tested in the remaining subset of the total sample. Results Attitudes towards TPT were most positive for therapists who reported a neutral or strong online working alliance with their patients, especially if they experienced little professional self‐doubt and were younger than 40 years old. Therapists who were most concerned about TPT were those who reported higher levels of professional self‐doubt, particularly if they also reported vicarious trauma experiences. Therapists who reported low working alliance with their patients were least likely to use TPT in the future. Performance metrics for the decision trees indicated that these three models held up well in an out‐of‐sample dataset. Conclusions Therapists' professional self‐doubt and the quality of their working alliance with their online patients appear to be the most pertinent factors associated with therapists' acceptance of TPT technology during COVID‐19 and should be addressed in future training and research.

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Predicting secondary school teachers’ acceptance and use of a digital learning environment: A cross-sectional study

Cited by 266 publications

References 32 publications

Citizens’ adoption of an electronic government system: towards a unified view

Citizens’ adoption of an electronic government system: towards a unified view

A meta‐analysis of the UTAUT model: Eleven years later

Psychotherapists' acceptance of telepsychotherapy during the COVID‐19 pandemic: A machine learning approach

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