Search results for author:"Dan Bouhnik"
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E-learning Environments in Academy: Technology, Pedagogy and Thinking Dispositions
Dan Bouhnik; Golan Carmi
Journal of Information Technology Education: Research Vol. 11 (2012) pp. 201–219
Around two decades have passed since higher education institutions began incorporating the internet as an alternative studying environment, together with frontal class teaching and learning. This kind of environment still poses meaningful challenges ...
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WhatsApp Goes to School: Mobile Instant Messaging between Teachers and Students
Dan Bouhnik; Mor Deshen
Journal of Information Technology Education Vol. 13 (2014) pp. 217–231
WhatsApp is a Smartphone application for instant messaging. Lately the application's popularity has risen. One of the unique features of the application is its ability to enhance communication within a group. Classroom communication between...
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WhatsApp Goes to School: Mobile Instant Messaging between Teachers and Students
Dan Bouhnik; Mor Deshen
Journal of Information Technology Education: Research Vol. 13, No. 1 (2014) pp. 217–231
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E-learning Environments in Academy: Technology, Pedagogy and Thinking Dispositions
Dan Bouhnik; Golan Carmi
Journal of Information Technology Education: Research Vol. 11, No. 1 (Jan 01, 2012) pp. 201–219
Around two decades have passed since higher education institutions began incorporating the internet as an alternative studying environment, together with frontal class teaching and learning. This kind of environment still poses meaningful challenges ...
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Teaching High School Students Applied Logical Reasoning
Dan Bouhnik; Yahel Giat; Yahel Giat
Journal of Information Technology Education: Innovations in Practice Vol. 8, No. 1 (Jan 01, 2009) pp. 1–16
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Asynchronous Learning Sources in a High-Tech Organization
Dan Bouhnik; Yahel Giat; Yafit Sanderovitch
Journal of Workplace Learning Vol. 21, No. 5 (2009) pp. 416–430
Purpose: The purpose of this study is to characterize learning from asynchronous sources among research and development (R&D) personnel. It aims to examine four aspects of asynchronous source learning: employee preferences regarding self-learning;...
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From an Artificial Neural Network to Teaching
Dror Mughaz; Michael Cohen; Tal Ades; Sagit Mejahez; Dan Bouhnik
Interdisciplinary Journal of E-Learning and Learning Objects Vol. 16, No. 1 (Jun 24, 2020) pp. 1–17
Aim/Purpose: Using Artificial Intelligence with Deep Learning (DL) techniques, which mimic the action of the brain, to improve a student’s grammar learning process. Finding the subject of a sentence using DL, and learning, by way of this computer...