高校教师网络教学方式的采纳和使用——基于技术接受与使用整合理论的研究

本研究以技术接受与使用整合理论(UTAUT)为基础,通过对北京大学等四所高校教师网络教学方式采纳情况进行调查,探讨了影响高校教师网络教学方式持续使用意向及使用水平的因素。研究结果显示:绩效期望、努力期望和社会影响会直接正向影响高校教师的网络教学方式持续使用意向,进而影响其网络教学方式的使用水平;教师的网络教学方式持续使用意向和促进条件对网络教学方式的使用水平均有显著影响。此外,性别、网络教学经验会调节社会影响对持续使用意向的影响,年龄会调节绩效期望对持续使用意向以及促进条件对使用水平的影响。最后,文章根据研究结果提出了政策建议及未来研究方向。     

Pre-service teachers’ acceptance of mobile-technology-supported learning activities

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%.

     

An empirical examination of the effect of self-regulation and the Unified Theory of Acceptance and Use of Technology (UTAUT) factors on the online learning behavioural intention of college students

The main objective of this study was to examine the factors of individual characteristics (e.g., self-regulation in terms of metacognition and motivation) and learning environmental expectancy (e.g., performance expectancy, effort expectancy, and social influence) that influence students’ behavioural intention to continue online courses. The questionnaire data collected from 312 college students were analyzed using the structural equation modelling approach to examine the relationship between self-regulation and the Unified Theory of Acceptance and Use of Technology model. The experimental results revealed that self-regulation in terms of metacognition and motivation directly related to performance expectancy, effort expectancy and social influence. In addition, performance expectancy, effort expectancy and motivation significantly and directly influenced students’ intention to use online courses. However, this study found that metacognition and social influence did not positively directly relate to behavioural intention. The discussion of the present findings and practical implications for possible future research have also been analyzed and concluded.     

Understanding the intention to use interactive whiteboards: model development and testing

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.     

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.     

Does it have to be easy,useful, or do we need something else? STEM teachers’ attitudes towards mobile device use in teaching

ABSTRACT

Studies show that technology can have a positive influence on student achievement and motivation; however, the use of technology for educational purposes is rather modest. Research has shown teachers’ attitudes to be a key aspect of technology use. However, there is no agreement on which attitudes we should focus on. The aim of the present study was to determine which attitudes may be differentiated empirically in a sample of STEM teachers in the context of mobile devices in teaching and to what extent these factors help to predict willingness to use mobile devices. The study was conducted among 377 STEM-subject teachers. The results showed that performance expectancy, effort expectancy and technology attitude are highly correlated for teachers. It would appear that social aspects (social influence and facilitating conditions) may serve as facilitators for teachers’ attitudes in the model, predicting 52.5% of teachers’ behavioural intention to use mobile devices for teaching.     

Educational technology acceptance across national and professional cultures: a European study

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.     

Developing and validating a model for assessing paid mobile learning app success

With the proliferation of paid mobile learning applications (m-learning apps), understanding how to assess their success has become an important issue for academics and practitioners. Based on the information systems (IS) success models and the value-based adoption model, this study developed and validated a multidimensional model for assessing paid m-learning app success. The proposed model describes the interrelationships among seven paid m-learning app success variables: system quality, information quality, perceived enjoyment, perceived fee, user satisfaction, intention to reuse, and learning effectiveness. Data collected from 160 paid m-learning app users were tested against the research model using structural equation modeling (SEM). The empirical findings provide evidence that learning effectiveness is affected by user satisfaction and intention to reuse, which, in turn, are determined by system quality, information quality, perceived enjoyment, and perceived fee. The findings of this study provide several important theoretical and practical implications for the development, implementation, and promotion of paid m-learning apps.     

Why do college students continue to use mobile learning? Learning involvement and self-determination theory

Retaining learners and facilitating their continuance are critical for the mobile learning providers and educators. Drawing on stimulus-organism-response framework and self-determination theory, this study examines factors that affect college students' mobile learning continuance by considering the self-determination needs and learning involvement. A research model was developed and empirically tested against data collected from 309 college students who are the mobile learning users of an online education platform in China. The results of structural equation modeling analysis showed that perceived learning support, self-management of learning and peer influence significantly influence affective learning involvement, which in turn positively affect mobile learning continuance intention. In addition, perceived learning support and peer influence also significantly influence cognitive learning involvement, which further determine mobile learning continuance intention. Theoretical and practical implications of these findings are also discussed.     

移动学习平台用户使用意愿影响因素研究——基于移动情境和心流体验的技术接受模型

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。     

移动学习——国外研究现状之综述

移动学习是继数字化学习后出现的又一新学习模式,是教育技术领域研究的又一个新热点。如何充分有效地使用无线技术和移动计算设备来辅助教学和学习成为移动学习研究的中心[1]。该文针对移动学习目前存在的几种不同定义,提出了关于如何正确理解移动学习的几点看法。同时结合大量国外移动学习的研究事实,展示移动学习目前的研究状况和研究成果。     

Teachers’ perception of mobile edutainment for special needs learners: the Malaysian case

Study of Malaysian adoption of mobile learning (m-learning) is still in the early stages. However, there are numerous researchers in the country exploring the potential and application of m-learning in the Malaysian education system, including special education. A key question is whether teachers are prepared to incorporate mobile technology as part of their teaching tools or do teachers perceive mobile technology only as personal communication gadgets. This paper investigates teachers' perception of m-learning applications in special education classes. Interviews were conducted to collect related information on teachers' perceptions of m-learning in the selected schools. The teachers expressed that there are limited resources to cater to the attention of special needs learners and they believed edutainment technologies such as augmented reality, game-based educational software and animation projects could be the answer. The benefits and challenges of implementing blended learning for special education are also discussed. The paper concludes by summarising the current environment of m-learning in Malaysian special needs education, together with recommendations for future use of the technology.     

新时期移动学习下的学习模式探究

移动学习是继数字化学习之后出现的一种新的学习方式,随着移动领域技术的发展,移动学习也应有新的学习模式相适应。分析移动学习现状,提出新时期网络环境下移动学习模式。     

The effects of learning–family conflict,perceived control over time and task-fit technology factors on urban–rural high school students’ acceptance of video-based instruction in flipped learning approach

Flipped learning approach combines video-based instruction (VBI) outside the classroom and problem-solving activities inside the classroom. The success of this instructional approach largely depends on students’ acceptance to learn the video presentation at home during pre-classroom activities. However, there are still very scarce insights regarding the evaluation of students’ eagerness to learn VBI. This paper aims to extend UTAUT model by adding learning–family conflict, perceived control over time and task-fit technology factors to investigate urban–rural high school students’ acceptance of VBI in flipped learning approach. 400 randomly selected students from urban and rural senior high school were used for the study. Structured equation modeling and multi-group analysis using t test were employed to analyze the survey data. The results showed that facilitation condition, task-fit technology, perceived control over time, performance expectancy, and learning–family conflict have positive influence on students’ behavioral intention to use VBI. Surprisingly, the t-test analysis indicated significant differences between groups, suggesting that students in the rural schools have low learning–family conflict, high perceived control over time, and high intention to use VBI than urban students. Detailed results and educational implications are discussed.     

Difficulties in defining mobile learning: analysis,design characteristics,and implications

Educational technology research and development - Mobile learning, or m-learning, has become an umbrella term for the integration of mobile computing devices within teaching and learning. In the...     

Students' acceptance of tablet PCs in Italian high schools: Profiles and differences

The tablet PC represents a very popular mobile computing device, and together with other technologies it is changing the world of education. This study aimed to explore the acceptance of tablet PC of Italian high school students in order to outline the typical students' profiles and to compare the acceptance conveyed in two types of use (learning and communicative activities at school). Data were collected using an online survey that was filled out by students at home. Two hundred and ninety‐six students from six public high schools in Milan and surrounding suburbs voluntarily accepted to participate in the study. The results show a varied situation in the Italian schools despite the availability of and funding for the technology. Three clusters were identified with high, moderate and low acceptance of tablet PC and a comparison between such clusters revealed significant differences in gender, grade level and usage frequency. The groups showed also significant differences in relation to the uses of tablet PC at school that appeared coherent with their level of acceptance: students who have higher level of acceptance are those who use the tool more both for learning and communicative purposes. To conclude, students with lower acceptance probably need to better understand the opportunities offered by this technology and how to use it. Based on examining the data from the survey, preliminary recommendations are made.     

Understanding MOOC continuance: An empirical examination of social support theory

ABSTRACT

Learning outcomes is mediated by multi-channel learning environment and social engagement. Both factors may play a significant role in understanding motivation to learn in massive open online courses (MOOCs). The goal of this study was twofold: a. to compare behavior intention patterns of traditional e-learning platform and MOOCs participants; b. to examine relationships between behavior intention and perceived social support. Therefore, this study applies the concepts of technology acceptance model and social support theory to examine the underlying the determinants of learners’ continuance intention factors for MOOCs in Taiwan. In addition, this study adopts perceived convenience, computer self-efficacy, sense of community, and perceived gains as the constructs of social support perspective. Our examination reveals that sense of community, and perceived gains influence learners’ behavior intention of both general e-learning platform and MOOCs. However, perceived convenience and computer self-efficacy did not influence learners’ behavior intention for traditional e-learning platform, but still have efforts for MOOCs. In summary, our results show that the social support theory and technology acceptance model could be the suitable examination model to investigate the behavioral intentions for MOOCs. These findings have significant theoretical and managerial implications.     

The moderating effect of experience on the intention to adopt mobile social network sites for pedagogical purposes: An extension of the technology acceptance model

With numerous benefits of utilising mobile social network sites (SNSs) for learning purposes, limited studies have been conducted to determine the factors that influence the adoption of mobile SNSs in facilitating learning. Accordingly, the main purpose of this study is to explore the determinants of students’ behavioural intention to use mobile SNSs for their pedagogical purposes by utilising an extended version of Technology Acceptance Model. Furthermore, the moderating effect of users’ experience on their behavioural intention was investigated. Using a structured questionnaire, data were collected from 600 students from top-five public universities of Malaysia. The results revealed perceived task-technology fit as the great predictor of users’ intention and perceived usefulness. Although the moderating impact of students’ experience on the model found to be positive, it was not supported in this study. The contributions of this study both to the literature and practice are discussed.     

2011年我国移动学习研究综述

伴随移动技术的迅猛发展与普及,移动学习研究成为教育技术研究的重要领域之一。文章采用科学知识图谱可视化分析软件CitispaceⅡ及内容分析法,对2011年公开发表于国内学术期刊的移动学习论文进行了量的统计和质的分析,以期揭示2011年我国移动学习研究的现状、问题及其主要成果,以资同行借鉴。     

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.