Examining the influence of subjective norm and facilitating conditions on the intention to use technology among pre-service teachers: a structural equation modeling of an extended technology acceptance model

This study examined pre-service teachers’ self-reported behavioral intentions to use technology. Three hundred and fourteen participants completed a survey questionnaire measuring their responses to six constructs from a research model that extends the technology acceptance model (TAM) by including facilitating conditions and subjective norm. Structural equation modeling was used as the main technique for data analysis. This study contributes to the growing interests in using information science models to explain intention to use technology in educational contexts. The results of this study showed that the TAM constructs were significant in explaining pre-service teachers’ intention to use technology. Although facilitating conditions and subjective norm had significant effects on behavioral intention to use technology, they were mediated by attitude toward usage, perceived usefulness, and perceived ease of use. Overall, this study indicated the TAM has sufficient explanatory powers to explain pre-service teachers’ intention to use technology in an educational environment.     

基于技术接受模型的高校教师网络教学行为研究

从技术接受的角度研究教师网络教学行为具有重要意义。通过分析高校教师网络教学行为现状,以技术接受模型（TAM3）为基础构建研究的理论框架,提出研究假设,并利用结构方程模型对研究假设进行了实证分析。研究结果表明,感知有用性和感知易用性对网络教学行为意向有积极正向影响;自我效能感对感知有用性和感知易用性有积极正向影响;系统实用性对感知有用性和网络教学行为意向有积极正向影响;主观规范对感知有用性和感知易用性有积极正向影响;技术复杂性对感知易用性和网络教学行为意向有积极正向影响;网络教学经验对高校教师网络教学行为意向有显著正向影响;网络教学动机对高校教师网络教学行为意向影响不显著。最后,从改善网络教学环境与条件、提高教师的信息技术能力、培养教师网络教学行为价值意向等几方面给出建议。     

Examining the role of technology-related policy and constructivist teaching belief on English teachers’ technology acceptance: A study in Chinese universities

This large scale study investigated the influences that technology-related policies and teachers’ constructivist teaching beliefs have on their intention to use technology in Chinese universities. Data were collected from 696 English teachers working in 59 Chinese universities. Five variables (subjective norm, constructivist teaching belief, perceived importance of policy, computer self-efficacy and voluntariness) were examined in this study. Results indicated that perceived importance of policy, constructivist teaching beliefs and subjective norm were significant antecedents of perceived usefulness. The relationship between subjective norm and teachers’ intentions to use technology was moderated by voluntariness. Besides perceived usefulness, perceived ease of use also had significantly influenced English teachers’ behavioural intention. Overall, the research model explained 69% of variance of teachers’ intentions to use technology. This study has the potential to enrich our understanding of technology acceptance in teaching by contextualising the study in the rarely researched English teaching context in Chinese universities. The findings from this study also provide suggestions for policy makers and teacher educators.     

Video demonstrations can predict the intention to use digital learning technologies

The technology acceptance model (TAM) uses perceived usefulness and perceived ease of use to predict the intention to use a technology which is important when deciding to invest in a technology. Its extension for e-learning (the general extended technology acceptance model for e-learning; GETAMEL) adds subjective norm to predict the intention to use. Technology acceptance is typically measured after the technology has been used for at least three months. This study aims to identify whether a minimal amount of exposure to the technology using video demonstrations is sufficient to predict the intention to use it three months later. In two studies—one using TAM and one using GETAMEL—we showed students of different cohorts (94 and 111 participants, respectively) video demonstrations of four digital technologies (classroom response system, classroom chat, e-lectures, mobile virtual reality). We then measured technology acceptance immediately after the demonstration and after three months of technology use. Using partial least squares modelling, we found that perceived usefulness significantly predicted the intention to use three months later. In GETAMEL, perceived usefulness significantly predicted the intention to use for three of the four learning technologies, while subjective norm only predicted the intention to use for mobile virtual reality. We conclude that video demonstrations can provide valuable insight for decision-makers and educators on whether students will use a technology before investing in it.

Practitioner notes

What is already known about this topic

• The technology acceptance model helps decision-makers to determine whether students and teachers will adopt a new technology.
• Technology acceptance is typically measured after users have used the technology for three to twelve months.
• Perceived usefulness is a strong predictor of intention to use the technology.
• The predictive power of perceived ease of use for the intention to use varies from insignificant to strong.

What this paper adds

• For the four digital learning technologies (classroom chat, classroom response system, e-lectures and mobile virtual reality), we measure technology acceptance after a video demonstration and again after three months of usage.
• Using structural equation modelling, we are able to predict intention to use after three months, with perceived usefulness measured after the video demonstration.
• We replicate these findings with a second study using the general extended technology acceptance model.

Implications for practice and/or policy

• Short video demonstrations can provide information for educators to predict whether students will use a technology.
• Early impressions of perceived usefulness are very important and valuable to predict whether students will use a technology.

     

The influence of pedagogical beliefs on technology acceptance: a structural equation modeling study of pre-service mathematics teachers

Pedagogical beliefs are a critical factor in terms of integrating technology into teaching, but very few technology acceptance models (TAMs) have considered them. Hence, this study aims to extend the TAM by incorporating pre-service teachers’ conception of teaching and learning. The revised model examined the influence of pre-service mathematics teachers’ constructivist and traditional pedagogical beliefs on their technology acceptance through perceived ease of use, perceived usefulness, attitude toward technology, and behavioral intention to use. Survey data were collected from 714 pre-service mathematics teachers in Turkey and analyzed through path analysis. The results showed that pre-service mathematics teachers’ pedagogical beliefs were more constructivist-oriented than traditional-oriented, and constructivist beliefs had a significant influence on the components of the TAM. On the other hand, pre-service teachers’ traditional-oriented beliefs did not influence their perceived usefulness of and attitudes toward technology but had positive effects on perceived ease of use. Implications for pre-service mathematics teacher education were discussed.

     

Practicum teachers’ use of mobile technology as measured by the technology acceptance model

ABSTRACT

This study utilized the Technology Acceptance Model (TAM) to examine practicum teachers’ current use of mobile technology and their intentions of use in the future. A survey was conducted to better understand the relationship between practicum teachers and their potential assimilation of technology into classroom practice. The survey questionnaire was administered to 100 undergraduate students at [institute withheld], [country withheld]’s teacher preparatory university. The following four key constructs of the TAM were assessed: perceived ease of use (PEU), perceived usefulness (PU), subjective norm (SN), and behavioural intention to use (BIU). The impact of practicum teachers’ gender and academic subjects on their acceptance of technology were also investigated. The present study found strong links between PEU and PU. While practicum teachers perceived mobile technology as being useful and intended to use it in their classrooms, BIU was not significantly impacted by PEU, PU, or SN. The data also suggested that gender did not affect BIU while practicum teachers’ academic subjects might be an indicator of their future intentions to use mobile technology. With these findings, recommendations are made to further improve the integration of mobile technology in classroom practice.     

Examining civil servants’ decisions to use Web 2.0 tools for learning,based on the decomposed theory of planned behavior

The purpose of this study was to investigate the decisions of civil servants to use Web 2.0 applications while engaging in online learning. The participants were 439 civil servants enrolled in asynchronous online learning programs, using an e-learning portal provided by Taiwan's Regional Civil Service Development Institute. The participants completed a questionnaire which measured their responses to 12 constructs (perceived usefulness, perceived ease of use, compatibility, peer influence, superior influence, self-efficacy, facilitating conditions, attitude, subjective norm, perceived behavior control, behavior intention, and behavior) based on the decomposed theory of planned behavior. The research results revealed that the participants’ perceived usefulness of online learning was the strongest predictor affecting their attitude. Peer influence was also the primary factor influencing their subjective norm. The construct of self-efficacy appeared to be the most important element determining their perceived behavioral control. Also, the results of the path analysis showed that the participants’ attitude was the strongest indicator of their behavior intention to use Web 2.0 applications, followed by the perceived behavior control and subjective norm. Theoretical and practical implications and recommendations are provided based on the results of the study.     

Modeling Chinese Teachers' Attitudes Toward Using Technology for Teaching with a SEM Approach

The aim of this study was to examine factors that influence Chinese teachers’ attitudes toward using technology. Using the technology acceptance model (TAM) as the framework, the study considered the social and cultural in China, and included a new external variable—policy—along with perceived ease of use, perceived usefulness, facilitation conditions, and subjective norms, into the original TAM framework. Structural equation modeling was implemented on questionnaire data collected from 1,423 teachers in China. The expanded model revealed a goodness-of-fit (TLI = 0.931, CFI = 0.942, RMSEA = 0.048, and SRMR = 0.039) and it explained 52.7% of the variance in teachers’ attitudes toward using technology. Chinese teachers' perceived usefulness, perceived ease of use, and national policy were determined to be the factors with positive direct influence on teachers' attitudes toward using technology. Subjective norms were found to have an indirect influence. This study contributes to the growing body of non-Western multicultural studies on the TAM and also serves as a starting point in understanding teachers’ attitudes toward technology use in China.     

The acceptance of computer technology by teachers in early childhood education

This study investigated kindergarten teachers’ decision-making process regarding the acceptance of computer technology. We incorporated the Technology Acceptance Model framework, in addition to computer self-efficacy, subjective norm, and personal innovativeness in education technology as external variables. The data were obtained from 160 kindergarten teachers, from public kindergartens in Daejeon, South Korea. According to the results, subjective norm had the strongest effect on computer acceptance. In addition, perceived usefulness and computer self-efficacy had a direct effect on computer technology acceptance. On the other hand, perceived ease of use and personal innovativeness in education technology had an indirect effect on computer technology acceptance. The measures accounted for approximately 32% of the variance of intentions to use computers in kindergartens.     

Investigating university students’ adoption of video lessons

ABSTRACT

The purpose of this study was to examine the undergraduate students’ adoption of video lessons. The data were collected from 313 undergraduate students from Education, Health Sciences, and Letters Faculties within a large university in Turkey using a questionnaire with six constructs: ease of use, usefulness, enjoyment, intention, computer self-efficacy and relative advantage. The Technology Acceptance Model and Diffusion of Innovation Theory were used as the research framework for the study, and the data were analysed by Structural Equation Modeling. The results showed that ease of use and computer self-efficacy had a significant influence on usefulness of video lessons. Computer self-efficacy had a significant influence on ease of use regarding video lessons and usefulness of a video lesson had a significant influence on relative advantage. In addition, relative advantage and enjoyment had a significant effect on student intention to use a video lesson. Interestingly, it was found that perceived ease of use, perceived usefulness, and computer self-efficacy had no effect on the intention to use video lessons. Consequently, five constructs account for 38% of the variance intention to use video lessons. The research model was found to have a good fit.     

Towards the successful integration of e-learning systems in higher education in Iraq: A student perspective

This study aims to analyse the factors that can explain the adoption and effective use of a new e-learning system in Iraq. To achieve this, it uses a selection of factors that are present in the technology acceptance model (TAM) and the unified theory of acceptance and use of technology (UTAUT) model, and it includes three additional factors. The study hypothesises new relationships between the selected factors. Questionnaires were distributed to 300 university students in Iraq. Partial least squares-structural equation modelling (PLS-SEM) was used to analyse the data received. The findings suggest that perceived usefulness (PU), perceived ease of use (PEOU), subjective norms (SNs), information quality (IQ), system quality (SQ), technical support (TS) and self-efficacy (SE) have significant effects on behavioural intention (BI). In turn, BI and TS have significant direct effects on the actual use (AU) of e-learning systems. The factors age, gender and experience significantly moderated some of the relationships in the model. The research has several implications for policy makers, universities and the management of e-learning systems.     

教师直播教学采纳影响因素研究

在疫情期间,直播教学成为各个学校停课不停学的重要教学模式之一。相关研究指出,5G时代直播教学将迎来大发展,直播教育因其诸多优点,正在成为在线教育的常态,在大规模教育活动、远程观测与实验、名师课堂、全景实时直播以及全息互动等方面具有广泛的应用。目前还缺乏对教师直播教学采纳影响因素的理论与实证研究。基于TAM3模型与UTAUT模型构建了教师直播教学采纳影响因素理论模型,并进行了实证研究。研究发现,社群影响、有用性感知与易用性感知与教师直播教学行为意向正相关;社群影响、工作绩效与教师直播教学有用性感知正相关;计算机自我效能感、外部支持以及娱乐性感知与易用性感知正相关;性别、专业以及自愿性对相关路径系数具有调节作用;有用性感知与易用性感知在相关路径中间存在一定的中介效应。构建模型具有良好的解释力,对教师直播教学行为意向的解释度为68.0%。在上述研究的基础上,提出了后疫情时代高校教师直播教学发展的对策建议。     

Perceptions of instructional quality: impact on acceptance and use of an online learning environment

ABSTRACT

Given the growing use of online learning environments in higher education, it is important to further unravel how students’ use is influenced by their perceptions towards these learning environments. This study includes the perceived quality of the instructional design based on the First Principles of Instruction of Merrill and students’ acceptance based on the constructs perceived usefulness and perceived ease of use of the technology acceptance model (TAM). The aim of this study is twofold: a first aim is to investigate the influence of the perceived instructional quality on students’ acceptance and the second aim is to investigate the impact of students’ acceptance and the perceived instructional quality on the quantity (i.e. course activity) and quality (i.e. course performance) of use. In this study, a Moodle-based online learning environment for learning French as a foreign language was studied. Participants were 161 university students. Structural equation modeling (SEM) indicates that the perceived instructional quality has a significant positive influence on students’ acceptance. Furthermore, students’ perceived instructional quality has a positive influence on the quality, but not on the quantity of use, whereas students’ acceptance of the online learning environment has no impact on the use of the learning environment.     

大学生在线学习行为数据分享意愿研究

学习行为数据的来源是学习分析研究领域的重要分支之一。通过文献梳理和回顾,发现大学生在线学习行为数据分享意愿的研究有待深入。运用技术接受模型,选择网络隐私顾虑、信任、感知易用性和感知有用性为自变量,个人数据分享意愿为因变量构建了初始概念模型,并提出了相应的假设。为了检验这一概念模型,以抽样调查获取的206名商科类大学生的相关数据作为样本进行结构方程模型分析,并结合相关拟合指标对初始概念模型进行了修正。结论显示:感知易用性和网络隐私顾虑对个人数据分享意愿没有直接作用,但前者通过感知有用性和信任两个中介变量正向间接作用于个人数据分享意愿,后者通过信任作为中介变量负向间接作用于个人数据分享意愿;感知易用性对信任有较为显著的正向作用,网络隐私顾虑对信任有负向作用,但不显著;感知易用性对感知有用性有显著的正向作用。     

University students' behavioral intention to use mobile learning: Evaluating the technology acceptance model

As many Korean universities have recommended the implementation of mobile learning (m‐learning) for various reasons, the number of such tertiary learning opportunities has steadily grown. However, little research has investigated the factors affecting university students' adoption and use of m‐learning. A sample of 288 Konkuk university students participated in the research. The process by which students adopt m‐learning was explained using structural equation modeling technique and the Linear Structural Relationship (LISREL) program. The general structural model based on the technology acceptance model included m‐learning self‐efficacy, relevance for students' major (MR), system accessibility, subjective norm (SN), perceived usefulness, perceived ease of use, attitude (AT), and behavioral intention to use m‐learning. The study results confirmed the acceptability of the model to explain students' acceptance of m‐learning. M‐learning AT was the most important construct in explaining the causal process in the model, followed by students' MR and SN.     

教育APP在高职实践教学中技术接受模型构建与应用研究——以建筑制图课程为例

高职实践教学与信息化手段相融合是现阶段职业教育研究的热点问题。研究学生在使用教育APP进行实践操作的影响因素及其实践成效,对高职高技能培养具有十分重要意义。通过技术接受模型(Technology Acceptance Model)对数据分析研究发现:感知有用性对行为意图具有负向影响,对使用态度影响不显著;使用态度对行为意图具有正向影响;感知易用性对态度、感知有用性具有显著正影响;教育APP在实践教学中对提升教学效果有重要作用;性别因素对教育APP的接受程度并无区别;班级规模对教育APP使用效果无显著影响。     

Understanding learner acceptance of learning objects: The roles of learning object characteristics and individual differences

Many organisations and institutions have integrated learning objects into their e-learning systems to make the instructional resources more efficient. Like any other information systems, this trend has made user acceptance of learning objects an increasingly critical issue as a high level of learner satisfaction and acceptance reflects that the users are more willing to continue to use the technology. In this study, an extended version of technology acceptance model (TAM) with two external variables (learning object characteristics and individual differences) was developed to investigate the underlying factors and causal relationships in predicting learners' acceptance of learning objects. This study called for the respondents to progress through two phases of learning object participation: introduction and direct-use experience to investigate the students' perceptions in terms of usefulness and ease of use while utilising learning objects. The findings show that both perceived usefulness and perceived ease of use are determinants of behavioural intention to use learning objects. Learning object characteristics influence both perceived usefulness and perceived ease of use of learning objects; individual differences appear to have no influence upon intention to use learning objects.     

Modelling Facebook usage among university students in Thailand: the role of emotional attachment in an extended technology acceptance model

The aim of this study is to examine the factors that influenced the use of Facebook among university students. Using an extended technology acceptance model (TAM) with emotional attachment (EA) as an external variable, a sample of 498 students from a public-funded Thailand university were surveyed on their responses to five variables hypothesized to predict their actual use of Facebook. Data were analysed using structural equation modelling and the results showed that perceived usefulness (PU), attitude towards technology use (ATU), and EA had direct and significant influences on actual use, while perceived ease of use (PEU) was an indirect determinant of Facebook use. EA has direct and significant influences on all core variables in the TAM: PU; PEU; ATU; and actual use. Together, the PU, ATU, and EA explained 35.1% of the variance in students' usage of Facebook. Relatively, the variation in ATU and PU accounted by their determinants amounted to 55.5% and 50.2%, respectively.     

Investigating pre-service teachers’ acceptance of Web 2.0 technologies in their future teaching: a Chinese perspective

In recent years, there has been an exponential growth of the explorations around the pedagogical use of Web 2.0 technologies in China. This study offers an alternate perspective by examining predictors of pre-service teachers’ uptake of Web 2.0 technologies for teaching purposes. On the basis of prior related research focusing on the pedagogical use of ICT, an eight-factor research model was hypothesised. Data were collected from two universities in China through a questionnaire (N?=?464). Structural equation modelling analysis results suggested that perceived usefulness, perceive enjoyment, subjective norm, technological pedagogical and content knowledge, and facilitating conditions had statistically significant direct effects on intention to use Web 2.0 technologies. The findings can help stakeholders in China (e.g. teacher educators, school leaders, and education policy makers) develop a better understanding of the realities of teachers’ pedagogical use Web 2.0 technologies in China.     

Students’ intention to take online courses in high school: A structural equation model of causality and determinants

Offering an online integrated high-school course or subject for the first time involves many challenges. Better understanding the factors that affect students’ willingness to participate in the experience could provide support for better implementation of such a strategic initiative. In addition, it is important to understand how personal factors can influence the success of such an endeavour. This study develops a comprehensive structural equation model that captures most causal factors related to offering a high-school course online for the first time. A sample of public and private secondary school students (Grades 10, 11 and 12) in Abu Dhabi were administered an online survey regarding offering free online courses. The instrument was reviewed by other experts in curriculum, information technology and teaching and learning. The final instrument contained dimensions related to student perception of ease of use of e-learning, usefulness, self-efficacy, skills, style, student self-reported performance in certain subjects, use of social media, school support, teacher support, general support, access to the internet, and preferences behavioural intentions to use e-learning. The analysis provides a structural equation model with acceptable statistical fits and with many significant causal relationships. The paths representing direct and indirect effects of the construct predictors on intention to use provided statistical evidence of the validity of the 13 component predictors. Results show significant links between intention to use e-learning, perception of easiness, perception of usefulness, and other factors such as user characteristics and support. Use of social network affect intention to use e-learning indirectly thorough other variables. Limitations and implications of the study in general and as it concerns Abu Dhabi are highlighted.