Toward deep learning for adult students in online courses |
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| Authors: | Fengfeng Ke Kui Xie |
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| Institution: | 1. MSC05-3040, Organizational Learning and Instructional Technology, College of Education, University of New Mexico, Albuquerque, NM, 87131, United States;2. Instructional Systems and Workforce Development, Mississippi State University, Box 9730, 100 IED Building, Mississippi State, MS 39762, United States |
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| Abstract: | Adult students have become the new majority in online distance education. Research in online distance education, however, is still predominantly based on the historical perspective of the traditional student profile. This study examines adult students' learning engagement in online courses and explores the impact of online course design models and the type of online discussion on adult students' self-perceived and observable learning performance. The study findings inform that age itself does not predict adult students' learning satisfaction and performance. Instead, an integrated course model promotes learning satisfaction, while a Content + Support course model reinforces knowledge–constructive online interactions. The study findings also indicate disadvantages of close-ended discussion tasks in supporting students' online learning success. |
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