Using social software for enhancing IS talents' e-learning motivation

Wirtky, Thomas; Laumer, Sven; Eckhardt, Andreas; Weitzel, Tim

doi:10.1145/2487294.2487307

Cited by 1 publication

(2 citation statements)

References 61 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, some methods related to affective computing have been applied in E-learning environment to enhance learners' engagement. For example, empathic virtual human or social software can be included on an E-learning platform to increase learners' performance (Wirtky, Laumer, Eckhardt and Weitzel, 2013). Last, some studies have focused on the usability test of an Elearning platform (Alsumait and Osaimi, 2009).…”

Section: Types Of Studies On E-learningmentioning

confidence: 99%

“…Some of studies have used surveys to measure the usability of an E-learning platform (Zhang, Rui, Crawford and He, 2008;Faulkner and McClelland, 2002), and to develop solutions to enhance the learners' experience (Wang, Chen, Liu and Liu 2009). Few studies used physiological sensors to evaluate the students' biofeedback to interactive and noninteractive material (Wirtky, Laumer, Eckhardt, and Weitzel, 2013), i.e., discriminant analysis was applied to extract sensor data as a feature generator. As Kaiser et al stated (Kaiser and Oertel, 2006), an emotion recognition sensor system can enhance Elearning system by adding affective abilities.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Physiological Measurement on Students’ Engagement in a Distributed Learning Environment

Wang

César

2015

Proceedings of the 2nd International Conference on Physiological Computing Systems

View full text Add to dashboard Cite

Abstract:Measuring students' engagement in a distributed learning environment is a challenge. In particular, a teacher gives a lecture at one location, while at the same time the remote students watch the lecture through a display screen. In such situation, it is difficult for the teacher to know the reaction at the remote location.In this paper, we conducted a field study to measure students' engagement by using galvanic skin response (GSR) sensors, where students simultaneously watched the lecture at the two locations. Our results showed the students' GSR response was aligned with the surveys, which means that during a distributed learning environment, GSR sensors can be used as an indicator on students' engagement. Furthermore, our user studies resulted in non-engaging student learning experiences that would be difficult obtained at a lab condition. Based on the findings, we found that the patterns of GSR readings were rather different when compared to the previous relevant studies, where users were engaged. In addition, we noticed that the density of GSR response at the remote location was higher when compared to the one at the lecture room. We believe that our studies are beneficial on physiological computing, as we first presented the patterns of GSR sensors on non-engaging user experiences. Moreover, as an alternative method, GSR sensors can be easily implemented in a distributed learning environment to provide feedback to teachers.

show abstract

Section: Types Of Studies On E-learningmentioning

confidence: 99%