Engaging online learners: The impact of Web-based learning technology on college student engagement
ABSTRACT Widespread use of the Web and other Internet technologies in postsecondary education has exploded in the last 15 years. Using a set of items developed by the National Survey of Student Engagement (NSSE), the researchers utilized the hierarchical linear model (HLM) and multiple regressions to investigate the impact of Web-based learning technology on student engagement and self-reported learning outcomes in face-to-face and online learning environments. The results show a general positive relationship between the use the learning technology and student engagement and learning outcomes. We also discuss the possible impact on minority and part-time students as they are more likely to enroll in online courses.
SourceAvailable from: sciencedirect.com[Show abstract] [Hide abstract]
ABSTRACT: This paper aimed to investigate how gamified learning approach influence science learning achievement through a context- aware mobile learning environment and to explain effects on student learning outcome. A mobile learning environment has been developed based on MILS (Mobile Insect Learning System) gamified learning activity. A series of gamified learning activities based on MILS was developed and implemented in an elementary school science curriculum to improve student learning achievement and help students to actively engage in learning activities. A quasi-experimental design was used to investigate the effectiveness of gamification approach by combining game elements with the use of MILS in a real-world scenario. The response to questionnaire indicates that students valued the outdoor learning activities made possible by use of the smartphone and its functions. Pre- and post-test results demonstrated that incorporating mobile and gamification technologies into botanical learning process could achieve a better learning achievement than using non-gamified mobile learning and traditional instruction. In managerial implications, the results could provide parents, teachers, educational organizations to make related educational decision.Procedia - Social and Behavioral Sciences 11/2013; 103:42-50. DOI:10.1016/j.sbspro.2013.10.305
[Show abstract] [Hide abstract]
ABSTRACT: The expanding usage of online learning at all levels of education has drawn attention to the quality of online learning. In this study, online learning quality is evaluated through students’ cognitive engagement which is reflected in their online written messages in discussions and their online participation. This study proposes the use of two types of data: students’ participation, and written messages. Both types of data was collected and analyzed using the data mining technique to produce a predictive model that illustrates students’ pathways while engaging in online learning cognitively. The findings of this study indicate that from 22 variables, only two were significant for students’ online cognitive engagement; sharing information and posting high- level messages. The two variables led to the formation of three different pathways in the students’ predictive model.Procedia - Social and Behavioral Sciences 02/2014; 116:4844-4853. DOI:10.1016/j.sbspro.2014.01.1036