Results 41 to 50 of about 1,358,065 (190)

Building a Model of Successful Collaborative Learning for Company Innovativeness

Journal of Entrepreneurship, Management and Innovation, 2014
The aim of the paper is to develop a model of successful collaborative learning for company innovativeness. First of all, the paper explores the issue of inter-firm learning, focusing its attention on collaborative learning. Secondly, inter-firm learning
Agata Sudolska, Andrzej Lis
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Assessing Online Collaborative Discourse [PDF]

, 2015
This qualitative study using transcript analysis was undertaken to clarify the value of Harasim’s Online Collaborative Learning Theory as a way to assess the collaborative process within nursing education.
Breen, Henny
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A collective intelligence approach for building student's trustworthiness profile in online learning [PDF]

, 2014
(c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or ...
Barolli, Leonard, Caballé Llobet, Santiago, Miguel, Jorge, Prieto, Josep, Xhafa Xhafa, Fatos   +4 more
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Conscientization, Dialogue and Collaborative Problem Based Learning

Journal of Problem Based Learning in Higher Education, 2013
It has been argued that Paulo Freire’s concept of conscientization, where critical awareness and engagement are central to a problem-posing pedagogy, provides the philosophical principles to underpin Problem Based Learning (PBL). By using dialogue groups
Conscientization, Dialogue and Collaborative Problem Based Learning
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An integrated model: marital effect on adolescent behavioral problems through siblings

Frontiers in Psychology
IntroductionFew studies have simultaneously focused on the effects of marital conflict and marital intimacy on adolescent development, and little is known about the role of sibling relationships.
Zhaoyi Li, Yunyan Zhao, Ran He, Rui Luo, Yuhan Luo, Zhengqian Yang, Mengdi Qi, Fumei Chen   +7 more
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Collaborative trails in e-learning environments [PDF]

, 2004
This deliverable focuses on collaboration within groups of learners, and hence collaborative trails. We begin by reviewing the theoretical background to collaborative learning and looking at the kinds of support that computers can give to groups of ...
Bodnar, E., Brasher, A., de Freitas, Sara, Emans, B., Eyssautier, C., Jones, A., Keenoy, K., Levene, Mark, Montandon, L., Pernin, J.P., Schoonenboom, J., Turcsanyi-Szabo, M., Waycott, J.   +12 more
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Using Experiential and Collaborative Learning to Promote Careers in Engineering [PDF]

, 2019
This paper discusses the design of the Girls Accelerating and Learning STEM (G.A.L.S.) one-week residential summer camp designed to encourage young girls to pursue engineering careers. Specifically, the camp exposed participants to the fields of computer
Frizell, Sherri, Nave, Felecia, Thompson, Audie, Williams, Rochelle   +3 more
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Socially Challenged Collaborative Learning of Secondary School Students in Singapore

Education Sciences, 2018
Using a grounded theory research design, this paper examined the collaborative learning experiences of secondary school students in Singapore. The core phenomenon that emerged was the need for social interactions in collaborative learning, both in ...
Christopher Pang, Jesslyn Lau, Chong Poh Seah, Linda Cheong, Audrey Low   +4 more
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Towards collaborative learning via shared artefacts over the Grid [PDF]

, 2002
The Web is the most pervasive collaborative technology in widespread use today; and its use to support eLearning has been highly successful. There are many web-based Virtual Learning Environments such as WebCT, FirstClass, and BlackBoard as well as ...
Boldyreff, Cornelia, Kyaw, Phyo, Lavery, Janet, Nutter, David, Rank, Stephen   +4 more
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Collaborative Deep Learning for Recommender Systems [PDF]

, 2015
Collaborative filtering (CF) is a successful approach commonly used by many recommender systems. Conventional CF-based methods use the ratings given to items by users as the sole source of information for learning to make recommendation.
Baldi P., Bengio Y., Bishop C. M., Chen M., Georgiev K., Hu L., Krizhevsky A., Mikolov T., Oord A. V. D., Purushotham S., Rendle S., Salakhutdinov R., Salakhutdinov R., Wager S., Wang H., Wang H., Wang N.   +16 more
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