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1.
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.  相似文献   

2.
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.
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3.
移动计算技术与各类信息终端的进步,极大促进了基于“互联网+”的移动学习平台的发展。当前,纷繁的在线学习平台面临着用户不易接受、满意度和使用率低等诸多问题。基于信息系统技术接受和使用统一整合理论(UTUAT),结合移动情境和心流体验理论,针对当前用户群较为广泛的英语在线学习平台,通过问卷调查数据,对用户在线学习的情境和技术接受感知行为进行深入研究,构建了移动学习平台的用户使用行为模型。数据分析显示,心流体验、感知移动性和服务质量对学习用户的持续使用意愿均有显著影响,在线学习的内容质量通过心流体验对用户行为产生间接影响;感知成本因素方面,付费的移动学习平台对用户行为的影响比免费平台相对显著,但均未通过显著性检验。上述研究方法和结论,对各类移动学习平台的用户行为研究具有一定的参考价值。  相似文献   

4.
Teachers' role can be catalytic in the introduction of innovative digital tools in order to create new learning and assessment opportunities. This study explores science technology engineering and mathematics (STEM) teachers' intention to use mobile-based assessments in the teaching practice. The study proposes the teachers' acceptance mobile-based assessment (TAMBA) model which extends the technology acceptance model by introducing individual, social, institutional and instructional design factors. An appropriate questionnaire was developed and answered by 161 STEM teachers from 32 European countries. Their responses were analyzed using structural equation modeling. The proposed TAMBA model explains about 50% of the variance in teachers' intention to adopt mobile-based assessment. Perceived Ease of Use was found to be the most important determinant in teachers' intention to use mobile-based assessment. Facilitating Conditions and Output Quality were the most influential external variables in the model. The study findings revealed that focusing on mobile assessment quality design as well as on institutional support are important factors for STEM teachers in order to accept mobile-based assessments in schools.  相似文献   

5.
With the proliferation of mobile computing technology, mobile learning (m-learning) will play a vital role in the rapidly growing electronic learning market. M-learning is the delivery of learning to students anytime and anywhere through the use of wireless Internet and mobile devices. However, acceptance of m-learning by individuals is critical to the successful implementation of m-learning systems. Thus, there is a need to research the factors that affect user intention to use m-learning. Based on the unified theory of acceptance and use of technology (UTAUT), which integrates elements across eight models of information technology use, this study was to investigate the determinants of m-learning acceptance and to discover if there exist either age or gender differences in the acceptance of m-learning, or both. Data collected from 330 respondents in Taiwan were tested against the research model using the structural equation modelling approach. The results indicate that performance expectancy, effort expectancy, social influence, perceived playfulness, and self-management of learning were all significant determinants of behavioural intention to use m-learning. We also found that age differences moderate the effects of effort expectancy and social influence on m-learning use intention, and that gender differences moderate the effects of social influence and self-management of learning on m-learning use intention. These findings provide several important implications for m-learning acceptance, in terms of both research and practice.  相似文献   

6.
With the development of the Internet in the era of knowledge‐driven economy, e‐learning is experiencing rapid growth. The online learning course websites are drawing more attention as well. This research combines the innovation diffusion theory and the technology acceptance model, and adds two research variables, perceived system quality and computer self‐efficacy to propose a new hybrid technology acceptance model to study students' behavioural intentions to use the online learning course websites. This research finds that compatibility, perceived usefulness, perceived ease of use, perceived system quality and computer self‐efficacy were critical factors for students' behavioural intentions to use the online learning course websites. By explaining students' behavioural intentions from a user's perspective, the findings of this research help to develop more user‐friendly websites and also provide insight into the best way to promote new e‐learning tools for students.  相似文献   

7.
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.  相似文献   

8.

The purpose of this study was to develop a mobile learning acceptance model for pre-service teachers and to examine the relationships among technology acceptance factors. The literature on mobile learning acceptance lacks studies on pre-service teachers and studies that include concrete mobile learning scenarios. To overcome these problems, we have developed and implemented a mobile-technology-enabled information technology course. The data collection and analysis were conducted in two separate studies. First, we developed a mobile learning acceptance scale and applied confirmatory factor analysis with 408 participants. The final instrument included 28 items measuring eight technology acceptance factors, namely behavioral intention, attitude towards use, perceived usefulness, perceived ease of use, social influence, facilitating conditions, self-efficacy, and anxiety. After this, we collected a new set of data from 316 participants to examine the relationships among the factors using structural equation modeling. In both studies, we investigated the respective models’ invariance across gender and discipline groups, and both models fulfilled invariance requirements. The results indicated that perceived ease of use and social influence have direct effects on behavioral intention, whereas self-efficacy has an indirect effect. Depending on the group, the explained variance of behavioral intention ranged between 18.1% and 60.6%.

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9.
The majority of studies utilised the cross‐sectional method to measure students' intention to learn and investigate their corresponding learning behaviours. Only a few studies have measured the process of change in students' learning behaviour in the context of time. The main purpose of this study is to determine the effects of using a Facebook group as an e‐Learning tool based on students' longitudinal perceptions to address the aforementioned literature gap. We surveyed 170 students in a business statistics course. We also measured changes that occurred in the students' intention to use and use of e‐Learning at three different stages. The model was tested at the beginning, middle and end of the semester using structural equation modelling. The results show that students' perceptions when using e‐Learning via Facebook changed when they interacted and explored the system. Students were more familiar with the usability of the Facebook group after learning for a few weeks, and their intention to use and use of e‐Learning via Facebook subsequently increased. The results indicated that social network sites such as Facebook can be used as complementary tools to expose students to course‐related links and documents, which will create extra time for learning, when they plan to spend time on Social network sites (Facebook) and interact and communicate with friends.  相似文献   

10.
The evolution of the World Wide Web has encouraged a huge surfacing of e‐learning technologies over recent years. Often, such technology is rolled out devoid of consideration towards the way in which students process and assimilate information. To date, there exists inconclusive and contradictory evidence concerning learnability effects of single‐ and dual‐model systems in education. To overcome this, we advocate that the design of e‐learning systems requires a managed mix of elements grounded in cognitive psychology. In this paper, we report the results of a study concerned with determining an effective mix of multimedia elements. This is with regard to the situated learnability effects of single‐ and dual‐modal systems tested via ‘text only’ and ‘text and auditory–verbal’ conditions. We report on these experiments using science computer‐assisted teaching and music‐oriented learning environment, e‐learning environments developed to act as test platforms for this research. The results indicated that simultaneous presentation of identical information via text and narration was associated with enhanced learnability.  相似文献   

11.
Given the paradox between pervasive promotion of technology use in English teaching and lack of studies about teachers’ technology acceptance in China, this study aims to examine intentions of English teachers in China to use technology in their classroom teaching. Based on the technology acceptance model, eight variables including perceived usefulness (PU), perceived ease of use (PEU), attitude toward use, behavioral intention (BI), computer self-efficacy (CSE), technology complexity (TC), facilitating conditions (FC), and constructivist teaching beliefs (CTBs) were incorporated to examine relationships among these variables. Data were collected from 183 English teachers at 5 Chinese universities via a self-report questionnaire and analyzed using a structural equation model. Results indicated that the proposed model has a good fit. Three variables – PU, FC, and CTBs were found to be significant predictors of attitude toward use, while PEU and TC were not. Additionally, PU, CSE, and CTBs are significant antecedents for teachers’ BIs to use technology. This study contributed to the understanding of technology acceptance theories by contextualizing the current study to Chinese educational context. It also provided valuable references for technology-related policy-making and teachers’ professional development.  相似文献   

12.
The effective use of an interactive whiteboard (IWB) in teacher-education institutions depends strongly on student teachers' intention of using it. Despite the recent surge in published research on the widespread applications for IWBs in teaching and learning, few have developed a model to elucidate the factors which influence student teachers' behavioural intentions (BIs) regarding the use of IWBs. The aim of this study was to develop a model which demonstrates the variables that affect student teachers' intentions and which also explain their interactions. The proposed research model is based on previous models of technology acceptance. Six variables (technology self-efficacy (TSE), performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating condition, and BI) were selected to build a model for this study. Structural equation modelling was used as the main technique for data analysis. The research model was found reliable and valid, the findings being based on a self-reported survey of 156 student teachers in Australia. Of the seven hypotheses which were formulated, five were supported by the findings. From the effect sizes, the dominant determinant of BI was found to be PE, this being followed by TSE, EE, and SI.  相似文献   

13.
This study empirically evaluates the technology acceptance model drawn from Information Systems (IS) literature to investigate how user beliefs and attitudes influence learning-object use among higher education learners by evaluating the relationships between perceived usefulness, perceived ease of use, attitude, behavioural intentions and actual use. In the study, 601 potential learning-object users were presented with an introductory demonstration of learning objects for a Digital Systems course. Following the demonstration and practice, data on user beliefs, attitudes and intention to use learning objects were gathered, while data on actual use of learning objects was collected at the end of the semester. Subjects with prior experience using the learning objects were eliminated from further analysis, resulting in a final sample of 481 users. structural equation modelling was employed to test the hypothesised study model. The analysis showed that both the user beliefs and attitudes have significant positive relationships with behavioural intention and that behavioural intention accurately predicted the actual use of learning objects. The results extend the validity of the TAM into a learning object context and clearly pointed out that it can be used to predict users' future behaviour.  相似文献   

14.
Advanced technologies have been widely applied in medical education, including human-patient simulators, immersive virtual reality Cave Automatic Virtual Environment systems, and video conferencing. Evaluating learner acceptance of such virtual reality (VR) learning environments is a critical issue for ensuring that such technologies are used to greatest effect. This research describes the use of high performance real-time interactive software (VR4MAX) to build a prototype 3D VR learning system. A questionnaire survey was distributed to 167 university students to investigate learner attitudes toward learning via VR applications. Experimental results show that immersion and imagination features of VR-mediated course contents have a positive impact on perceived usefulness, and can also predict perceived ease of use, both of which contributors to behavioral intention of learners to use VR learning systems. Overall, this research validates the relationship between three features of VR and learners' behavioral intention to use VR learning. The results could prove helpful in guiding future research related to VR learning.  相似文献   

15.
This paper examines the social, organisational and individual factors that may affect students' acceptance of e‐learning systems in higher education in a cross‐cultural context. A questionnaire was developed based on an extended technology acceptance model (TAM). A total sample of 1173 university students from two private universities in Lebanon and one university in England participated in this study. After performing the satisfactory reliability and validity checks, the hypothesised model was estimated using structural equation modeling. The findings of this study revealed that perceived usefulness (PU), perceived ease of use (PEOU), social norms (SNs), perceived quality of work life (QWL), computer self‐efficacy (SE) and facilitating conditions (FC) are significant determinants of behavioural intentions (BIs) and usage of e‐learning system for the Lebanese and British students. QWL, the newly added variable, was found the most important construct in explaining the causal process in the model for both samples. Differences were found between Lebanese and British students with regard to PEOU, SN, QWL, FC, SE and actual usage; however, no differences were detected in terms of PU and BI. Overall, the proposed model achieves acceptable fit and explains for 69% of the British sample and 57% of the Lebanese sample of its variance which is higher than that of the original TAM. Our findings suggest that individual, social and organisational factors are important to consider in explaining students' BI and usage of e‐learning environments.  相似文献   

16.
There are many ICT tools that teachers can use to support teaching and learning. In recent years, Learning Management Systems (LMSs) have been present in most higher education institutions. However, the availability of LMSs in K-12 is more recent. Furthermore, we believe that LMSs are promising even for K-12 teachers in face-to-face learning contexts because they have many educational features that can support learning with students. The goal of this study is 1) to identify the factors that influence the acceptability of the LMS by teachers, 2) to see if teachers’ ICT use influences their intention to use the LMS, and finally 3) to see if teachers’ ICT use influences their perception of the affordances of LMS educational features. The LMS in our study was introduced in a school board of more than 35,000 students and approximately 2400 teachers. To study the acceptability of the LMS, we used the Technology Acceptance Model. The results obtained from the show that the perception of usefulness is a good predictor of the intent to use the LMS. As for ICT use and the affordances of LMS educational features, the results show that they are not a good predictor of the intention to use.  相似文献   

17.
With the proliferation of weblogs (blogs) used in educational contexts, gaining a better understanding of why students are willing to blog has become an important topic for practitioners and academics. The main purpose of this study is to explore the individual difference antecedents of perceived enjoyment and examine how they influence blogging intention through the mediation of perceived enjoyment. Based on previous literature, the Big Five personality traits (ie, extraversion, agreeableness, conscientiousness, neuroticism and openness to experience), as well as computer self‐efficacy and personal innovation in information technology, are hypothesised as potential antecedents of perceived enjoyment in the acceptance of blogging. Data collected from a sample of 358 students at seven universities in Taiwan were tested against the research model using the structural equation modelling approach. The results indicate that extraversion, agreeableness, conscientiousness and personal innovation in information technology have a significant influence on perceived enjoyment, which in turn significantly influences blogging intention. The findings of this study provide several theoretical and practical implications for educational uses of blogging.  相似文献   

18.
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.  相似文献   

19.
The continuous development of new platforms and environments for technology-enhanced learning emphasizes the increasing importance of research in educational technology acceptance (ETA). Responding to this need, the unified theory of acceptance and use of technology (UTAUT) proposes a major ETA model. However, the UTAUT has been so far validated only in restrained contexts. The ongoing internationalization of education calls for extending ETA research and the UTAUT across national and professional boundaries. Therefore, this study aims at cross-cultural validation of the UTAUT by examining a large sample (N = 4,589) of educational technology users from three European countries, Germany, Romania and Turkey. As a first conclusion, the UTAUT questionnaire displays adequate validity, reliability, and measurement equivalence across cultures, which further enables UTAUT-based comparisons of the cultural groups. Secondly, the effect of technology use intention on the actual use behavior proves to be extremely weak. Several possible explanations are proposed along with suggestions for future research. Thirdly, for the first time in ETA research the cultural sample diversity allows the verification of correlations between acceptance and culture. Thus, this study makes headway in the integration of culture (sensu Hofstede) in the UTAUT by suggesting effects of power distance, individualism, masculinity, uncertainty avoidance and long-term orientation on performance and effort expectancy, perceived social influence, computer anxiety, technology use intention and actual use behavior. Fourthly, for educational practice the presented results suggest several ways of anticipating and supporting ETA in multicultural user groups.  相似文献   

20.
E‐learning tools and technologies have been used to supplement conventional courses in higher education institutions creating a “hybrid” e‐learning module that aims to enhance the learning experiences of students. Few studies have addressed the acceptance of hybrid e‐learning by learners and the factors affecting the learners’ satisfaction with these tools. This study assesses hybrid e‐learning acceptance by learners using three critical success factors: instructor characteristics, information technology infrastructure, and organizational and technical support. Structural equation modeling was applied to examine and validate the hypothesized relationships among the three factors and their effects on learners’ acceptance of hybrid e‐learning. A total of 538 usable responses from university students were used to validate the proposed research model. The influence of the three factors on learners’ decision to accept hybrid e‐learning was empirically examined. The results show that all three factors significantly and directly impacted the learners’ acceptance of hybrid e‐learning courses. Information technology infrastructure and organizational support were proven to be key determinants of the instructor characteristics as a critical success factor of hybrid e‐learning acceptance by learners. Implications of this work for higher education institutions, researchers, and instructors are described.  相似文献   

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