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Handbook of Research on Strategic Management of Interaction, Presence, and Participation in Online Courses

Online learning has become a prominent and inseparable component of higher education in recent years. Questions related to course structure, levels of interaction, presence, and participation within online courses persist and invite further inquiry for determining factors that encourage effective teaching and learning in online environments. The Handbook of Research on Strategic Management of Interaction, Presence, and Participation in Online Courses explores models of course development and delivery techniques to improve instruction, learning, and student satisfaction in online courses. Covering topics such as rates of participation, student engagement and retention, and social development, this handbook serves as a resource for educators in online learning environments, as well as for course designers and developers of online courses and researchers whose agenda includes examining interaction, presence, and participation in online courses.

Multicultural e-learning project and comparison of teachers' student teacher' and
pupils' perceptions about e-learning. Multicultural Education & Technology
Journal, 1(3), 178–191. doi:10.1108/175049707.10822.377 Orr, L. M., & Hauser,
W. J. (2008). A re-inquiry of Hofstede's cultural dimensions: A call for 21" century
cross-cultural research. The Marketing Management Journal, 18(2), 1–19.
Osborne, R.E., Kriese, P., Tobey, H., & Johnson, E. (2009). And never the two
shall meet?

Apache Spark Implementation on IBM z/OS

The term big data refers to extremely large sets of data that are analyzed to reveal insights, such as patterns, trends, and associations. The algorithms that analyze this data to provide these insights must extract value from a wide range of data sources, including business data and live, streaming, social media data. However, the real value of these insights comes from their timeliness. Rapid delivery of insights enables anyone (not only data scientists) to make effective decisions, applying deep intelligence to every enterprise application. Apache Spark is an integrated analytics framework and runtime to accelerate and simplify algorithm development, depoyment, and realization of business insight from analytics. Apache Spark on IBM® z/OS® puts the open source engine, augmented with unique differentiated features, built specifically for data science, where big data resides. This IBM Redbooks® publication describes the installation and configuration of IBM z/OS Platform for Apache Spark for field teams and clients. Additionally, it includes examples of business analytics scenarios.

This IBM Redbooks® publication describes the installation and configuration of IBM z/OS Platform for Apache Spark for field teams and clients. Additionally, it includes examples of business analytics scenarios.

Memilih dan Melatih: Suster & Mbak Terampil, Andal, dan Kerasan: Mengadopsi Manajemen Kantor ke Dalam Rumah Tangga

Sebagai seorang wanita dengan dua peran sebagai karyawan suatu
perusahaan dan sebagai ibu yang mengurus rumah tangganya, memiliki suster
atau mbak sebagai asisten yang mengurus anak dan rumah tangganya selama
dia bekerja ...