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IPBL could prepare learners to collaborate in a learning environment in which complex tasks can be accomplished with an abundance of available collaborative tools through the internet, which made the trace of the collaborative activities and interactions more possible than ever before.
As a creative pedagogic approach, IPBL could further integrate and work more effectively through the use of online collaborative technologies.
Kopp, Matteucci, and Tomasetto (2012) have investigated the different support of online collaboration learning between experienced and inexperienced e-tutor.
Kopp, Matteucci, and Tomasetto (2012) have investigated the different support of online collaboration learning between experienced and inexperienced e-tutor.
Susilo (2014) indicated that tutors’ and students’ intentions to use emerging technologies in e-learning systems are a central concern of researchers, academicians, and practitioners.
Students in rural and remote areas fail to receive as much educational resources as students in the cities. The online learning platform could provide the new opportunities for those disadvantage students in rural area to learn and acquire knowledge without limitation of time and space.
Previous studies have adopted social presence as one of the most influential factors that would affect users’ continuance intention towards using internet related technologies, such as Twitter(Park & Lee, 2010), social networking services (Sun, Lin, Peng, and Barnes, 2014), as well as cloud services (Huang, 2016).
Social presence was regarded as “the degree to which a person is perceived as a ‘real person’ in mediated communication” (Gunawardena & Zittle, 1997:9).
Social influence refers to users’ attitudes, thoughts, or decisions influenced by others when they participate in a social system (Cheng, 2014; Huang, 2015).
The results revealed that pre-service teachers’ perceived enjoyment was the most significant predictor of actual employment of Web 2.0 technologies, which illustrates that teachers’ intrinsic motivational factor can be a strong predictive variable of educational technologies integrated into the classroom settings.
Kim and Jang (2015) examined the important explanatory factors for predicting the adoption and implementation of Web 2.0 tools by Pre-service teachers in their internship.
Davis et al. (1992) found that enjoyment, serves as the intrinsic motivation, and extrinsic motivation (usefulness) were the key determinants of behavioral intention to use computers.
Enjoyment, as the most self-determined form of intrinsic motivation, refers to a kind of human action that is motivated by interest, enjoyment, pleasure, and satisfaction generated by the activity itself (Ryan & Deci, 2000).
Relatedness refers to the desire to feel connected with and supported by others in their social surroundings.
Previous studies have shown that teachers’ perceived level of e-learning competence has positive effects on their perceived level of usefulness, ease of use, and intrinsic motivation (enjoyment) (Sorebo, Halvari, Gulli, Kristiansen, 2009; Roca & Gagne, 2008).
Scholars have pointed out that technology acceptance could not only be partially explained by TAM since both human and social factors should also be incorporated and considered simultaneously (Chen, Fan & Farn, 2007).
Motivation is a theoretical construct used to explain human’s particular behavior, and represents the reasons for people's actions, desires, and needs. Some research have been explored the effect of additional factors that could influence users’ behavioral intention.
E-tutoring system is a type of information system, serving as an effective way to facilitate teaching and learning through computer technologies. The success of information system heavily relies on user satisfaction and continuance intention (Delone & Mclean, 2003).
IS continuance intention refers to the degree to which a person is willing to continue using an information system (Bhattacherjee, 2001).