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Jin, Bora; Kim, Junghwan; Baumgartner, Lisa M. – Adult Education Quarterly: A Journal of Research and Theory, 2019
This review aims to understand everyday learning of older adults using mobile devices. Specifically, for both academic and practical implications, we wanted to know what theoretical perspectives researchers adopted and how mobile devices play a role in older adults' informal learning. We analyzed 28 empirical studies (15 qualitative, 10…
Descriptors: Informal Education, Adult Learning, Telecommunications, Handheld Devices
Firmin, Michael W.; Tse, Luke M.; Johnson, Courtney; Vorobyov, Yelena; McKeon, Jacklyn – Christian Higher Education, 2014
An increasing number of universities have initiated activities and assignments to foster empathic and altruistic behavior in students. This study is a report of an outcomes assessment of a poverty immersion experience in a Christian urban ministries course. Following Firmin's (2006) protocol, we used a qualitative methodology that included three…
Descriptors: Religious Factors, Immersion Programs, Christianity, Qualitative Research
Chavan, Meena – Journal of Teaching in International Business, 2011
Using qualitative and quantitative analysis this paper presents a teaching model based on experiential learning in a large "International Business" unit. Preliminary analysis of 92 student evaluations determined the effectiveness of experiential learning to allow students to explore the association between theory and practice. The…
Descriptors: Student Evaluation, Student Attitudes, Teaching Models, International Trade
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection