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1.
大学生接受移动学习的影响因素实证分析 总被引：1，自引：0，他引：1
随着无线通信技术的飞速发展和移动设备的深入普及,移动学习作为一种新的学习方式逐渐进入大学生的校园生活。但实践中大学生对移动学习的应用情况与其对移动设备的热情并不匹配,大学生对移动学习的接受和运用不足现象严重。到底哪些因素影响着大学生接受移动学习？关于移动学习的采纳与接受,已有的研究主要采用技术接受模型（TAM模型）,试图探究影响一般社会群体接受移动学习的因素。TAM模型应用存在一定的局限性,拓展的技术整合和接受理论模型（UTAUT模型）在信息接受模型中具有更好的解释力。以UTAUT模型为基础,利用问卷调查和多元回归分析对北京师范大学学生的研究发现,成就价值、绩效期望、使用经验、感知娱乐性和社会影响等因素对大学生接受移动学习有显著性影响,因此应从加强校园宣传与环境建设、改进移动学习资源设计等方面,提升大学生对移动学习的接受水平。 相似文献
2.
Sujeet Kumar Sharma Mohamed Sarrab Hafedh Al-Shihi 《Interactive Learning Environments》2017,25(7):847-858
The growth of Smartphone usage, increased acceptance of electronic learning (E-learning), the availability of high reliability mobile networks and need for flexibility in learning have resulted in the growth of mobile learning (M-learning). This has led to a tremendous interest in the acceptance behaviors related to M-learning users among the information systems researchers. Despite a large amount of significant research in the field of M-learning, the measurement of user acceptance of M-learning has not received attention. This research study intends to develop and validate a survey that measures users’ acceptance of M-learning. A total sample of 806 university and higher college students from different institutes in Oman participated in this study. This research study was conducted in two stages. The first stage using a sample size of 388 students initiated a generic questionnaire, and examined factorial validity and reliability. The second stage that was conducted using different sample of 418 students employed confirmatory factor analysis to establish factorial validity and measurement invariance. A correlated six-factor model (Flexibility, Suitability, Enjoyment, Efficiency, Economic and Social) was fit using maximum likelihood estimation. The internal consistency and item reliability of Mobile Learning Acceptance Measure was found to be at acceptable level for both samples. 相似文献
3.
Lam Wai Leong Othman Ibrahim Mohammad Dalvi-Esfahani Hamed Shahbazi Mehrbakhsh Nilashi 《Education and Information Technologies》2018,23(6):2477-2498
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. 相似文献
4.
Mobile learning (M-learning) is a learning paradigm that utilizes the advantages of mobility and wireless technologies in the learning and education process. It can be characterized by the ability to support and provide strong interaction between learners and instructors, offering high levels of learning motivation, collaboration, and flexibility to the learning activities. Despite the increased popularity of M-learning, there is no complete and well-defined set of educational requirements for M-learning in higher education which considers both instructional design and M-learning design. Therefore, this paper proposes a new educational requirements model for M-learning development and adoption in higher education. This set of requirements has been built from a literature study with focus on standards for learning and mobile application software quality and guidelines. This work presents the results of applying the proposed set of educational requirements on three different M-learning systems. Instructional designers and educational software developers may find the requirements useful in the development of M-learning systems. The effort described is part of an Omani-funded research project investigating the development, adoption and dissemination of M-learning in Oman. 相似文献
5.
Rogers Kaliisa Edward Palmer Julia Miller 《British journal of educational technology : journal of the Council for Educational Technology》2019,50(2):546-561
The purpose of this paper is to compare and contrast characteristics of use and adoption of mobile learning in higher education in developed and developing countries. A comparative case study based on a survey questionnaire was conducted with 189 students (undergraduate and postgraduate) from Makerere University in Uganda and the University of Adelaide in Australia. The Unified Theory of Acceptance and Use of Technology (UTAUT) was employed as the theoretical framework. The results indicated that higher education students in developed and developing countries use a range of technologies for learning, with major differences between Uganda and Australia. The study concludes that mobile learning in higher education in developed and developing country contexts is still at an experimental stage with students using mobile devices in pedagogically limited ways. 相似文献
6.
Mary Helen Fagan 《学校用计算机》2013,30(2):105-121
The purpose of this study was to explore the acceptance of mobile learning by students in a higher education setting. The unified theory of acceptance and use of technology (UTAUT) was extended to include hedonic motivation, operationalized as enjoyment, as well as social influence in a field study involving the adoption of iPad mobile devices. Survey data were collected from 171 college students and analyzed using partial least squares structural equation modeling (PLS-SEM). The results indicated that enjoyment and performance expectations were important factors influencing the acceptance of mobile learning in this context. For those engaged in the mobile learning pilot project upon which this study was based, the use of the UTAUT and the results provided a theory-based empirical approach to support an assessment that the pilot project goals were achieved. Overall, students perceived iPads to be useful and enjoyable tools for accomplishing educational tasks and improving learning outcomes. 相似文献
7.
推进手机移动学习：中小学教师态度与需求 总被引：1，自引：0，他引：1
张虹 《现代远程教育研究》2012,(5):71-78
能否在中小学校普及手机移动学习,这是当前国际教育组织、教育行政部门和产业界共同关注的焦点问题。来自北京市4城区11所学校450名教师和管理者的调查数据表明,绝大多数教师都具有积极的技术产品教育应用意向,但反对中小学生持有手机和利用手机进行移动学习。不同学段的教师对推进手机移动学习的需求差异非常显著,小学教师最为积极,初中教师最不积极。在中小学校推进手机移动学习,应引导学校管理者、教师转变理念,客观认识学生手机,逐步认同手机移动学习;应加强宣传,推进本土实践,吸引学校管理者、教师乐于尝试手机移动学习;应增强手机移动学习产品、资源、服务与教育者、学习者、教学过程、学习过程的融合;在政策推广方面,可以先从小学进行试点推广,中学生手机移动学习可以走社会化推进、产业推动的道路。 相似文献
8.
随着移动互联技术的应用和普及,移动学习模式已经成为当代大学生获取教育信息和社会信息的重要途径。通过对厦门市某高校学生移动学习问卷调查,分析了大学生对移动学习的认识、移动学习的条件、移动学习资源的利用、移动学习内容的选择和移动学习效果等现状,并针对存在的问题,提出提升大学生移动学习效率的建议和策略。 相似文献
9.
该文采用叙事研究方法对一位高校教师的移动学习过程进行个案分析,讨论了移动环境下的学习绩效评价,对影响高校教师移动学习绩效的因素进行了梳理和提炼。研究显示,高校教师移动学习绩效的影响因素可分为外部因素和内部因素两方面,外部因素包括四个主要因素：无线网络环境、移动设备、媒介资源和移动学习系统。内部因素包括四个主要因素：个体特征、动机水平、信息素养和知识体系。外部因素会影响内部因素,而内部因素是影响移动学习绩效的关键因素。基于以上叙事型个案分析,给出了高校教师移动学习绩效影响因素的鱼骨图。 相似文献
10.
随着国内3G网络的快速布网和3G智能手机等移动终端功能的多样化,人们所关注的M-Learning越来越受到重视,但相应的资源建设相对落后。分析M-Learning的特点和对资源设计的要求,开发有针对性的、适合于M-Learning的教学资源,将会有效促进M-Learning在我国的发展。 相似文献
11.
移动学习资源建设刍议 总被引：1，自引：0，他引：1
随着全球范围的无线技术和移动通信技术的快速发展,移动学习作为一种新型的学习方式应运而生。试探讨移动学习的特性和对学习资源的新要求,以微型学习等相关理论为基础,从应用的角度提出移动学习资源的设计原则和建设模型。 相似文献
12.
移动学习共同体透视:合法的边缘性参与多重视角 总被引：4，自引：0，他引：4
移动学习是随着移动通讯技术的发展和设备的普及,在数字化学习基础上出现的又一新学习模式。从情景学习理论看,移动学习似乎有颠覆传统学习环境的可能,移动学习共同体在学习者合法的边缘参与上也与传统学习共同体存在着较大的不同。用情境学习理论对移动学习共同体进行分析,有助于我们弄清移动技术对学习和学习共同体产生了哪些影响,使我们在组织学习共同体时能趋利避害。 相似文献
13.
Chi-Cheng Chang Kuo-Hung Tseng Chaoyun Liang Chi-Fang Yan 《Technology, Pedagogy and Education》2013,22(3):373-386
Mobile learning aims to utilise communication devices such as mobile devices and wireless connection in combination with e-learning systems, allowing learners to experience convenient, instant and suitable learning at unrestricted time and place. Participants were 125 Taiwanese senior high school students, whose continuance intention was examined after learning English via PDAs (personal digital assistants). The study, using the one-group post-test design, adopted the Technology Acceptance Model and incorporated factors such as curiosity and perceived convenience. The results indicated that (1) curiosity had a positive effect on continuance intention; (2) perceived convenience had a positive effect on perceived usefulness and continuance intention. 相似文献
14.
针对当前移动数据通信资费昂贵、移动互联网带宽小,在研究网络数据压缩原理和移动学习代码压缩方法的基础上,探讨采用MLML标记语言代码优化和代码压缩的方法实现移动学习代码压缩技术,并在此基础上设计并实现了一种移动学习代码压缩系统.实验证明的这种移动学习代码压缩技术能够把移动通信网络的传输负荷和智能移动设备的处理负荷转移到移动学习代码压缩服务器上,从而减少学习者访问数字化移动学习资源时对网络带宽和数据传输速度的要求. 相似文献
15.
Shuang Hao Vanessa P. Dennen Li Mei 《Educational technology research and development : ETR & D》2017,65(1):101-123
This study examines the factors that influence mobile learning adoption among Chinese university students. China’s higher education market is large and mobile device ownership is considered a status symbol. Combined, these two factors suggest mobile learning could have a big impact in China. From the literature, we identified three major areas that may affect behavioral intention to adopt mobile learning in this context: pedagogical, personal, and social. A 27-item survey was administered online to 292 students at a northern Chinese university. Exploratory factor analysis was used to measure the reliability and validity of the survey items. Path analysis was then used to test the hypotheses in the proposed mobile learning acceptance model. Findings indicate that pedagogical factors have the greatest effect on students’ behavioral intention to adopt mobile learning. Social influences, especially social image and subjective norm, also play a role. Personal innovativeness was not found to be a main factor, although it has some indirect influences. 相似文献
16.
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. 相似文献
17.
ABSTRACTThe 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. 相似文献
18.
Stefano Cacciamani Daniela Villani Andrea Bonanomi Claudia Carissoli Maria Giulia Olivari Laura Morganti 《Journal of Research on Technology in Education》2018,50(2):120-133
To maximize the advantages of the tablet personal computer (TPC) at school, this technology needs to be accepted by students as new tool for learning. With reference to the Technology Acceptance Model and the Unified Theory of Acceptance and Use of Technology, the aims of this study were (a) to analyze factors influencing high school students' acceptance of TPCs and (b) to detect any difference in this influence considering the frequency of TPC use, students' gender, and school grade. Two hundred and ninety-six students from six high schools in the Milan area participated in the study. Data were collected using an online survey. The results showed that empowerment in learning, perceived usefulness, and support conditions affect learning use, and empowerment in learning and affect influence communicative use of TPCs. The implications of these results are discussed. (Keywords: tablets, acceptance, digital technologies, high school, path analysis) 相似文献
19.
Investigating the determinants and age and gender differences in the acceptance of mobile learning 总被引：4，自引：0，他引：4
Yi-Shun Wang Ming-Cheng Wu Hsiu-Yuan Wang 《British journal of educational technology : journal of the Council for Educational Technology》2009,40(1):92-118
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
20.
Natalie Gerhart Daniel A. Peak Victor R. Prybutok 《Decision Sciences Journal of Innovative Education》2015,13(1):91-111
Students have been slow to adopt e‐textbooks even though they are often less expensive than traditional textbooks. Prior e‐textbook research has focused on adoption behavior, with little research to date on how students perceive e‐textbooks fitting their needs. This work builds upon Task‐Technology Fit (TTF) and Consumer Acceptance and Use of Technology (UTAUT2) theory to present a student‐perspective model of e‐textbook usage. By contextualizing TTF and UTAUT2 to e‐textbooks, the research fills a gap in the literature and provides guidance to researchers and practitioners. The goal of the research is to understand how students perceive their task of learning to fit with e‐textbook technology, and how that fit influences e‐textbook usage and expected performance in their classes. To achieve this goal, the research develops a model to test the relationship between perceived TTF of e‐textbooks and UTAUT2‐defined user characteristics that encourage adoption behaviors, thus facilitating student learning. The findings show that four factors impact a student's perceived TTF: substitution, habit, hedonic motivation, and facilitating conditions. Furthermore, perceived TTF positively correlates with students’ e‐textbook usage and expected performance in classes when using e‐textbooks. While price value exhibits a measurable effect on e‐textbook utilization, it is a minor factor. 相似文献