نتایج جستجو برای: blended training

تعداد نتایج: 330118  

Journal: :تحقیقات اقتصاد و توسعه کشاورزی ایران 0
آذر هاشمی نژاد دانش آموخته کارشناسی ارشد دانشکده اقتصاد و توسعه کشاورزی دانشگاه تهران سید محمود حسینی دانشیار دانشکده اقتصاد و توسعه کشاورزی دانشگاه تهران یوسف حجازی استاد دانشکده اقتصاد و توسعه کشاورزی دانشگاه تهران

the present study was performed to analyze some of the preventive vs. promoter factors of applying blended learning system in agricultural higher education as viewed from the perspective of khuzestan province's faculties of agriculture and natural resources' faculty members. statistical population of the study consisted of the members of agriculture and natural resources state college...

Background & Objective: Blended learning is the thoughtful integration of e-learning and face-to-face learning, which has been accepted in the field of medical education. Given the importance and complexity of this novel educational system, this study aimed to recognize and gain an in-depth understanding of the factors and dimensions affecting the effectiveness of blended learning based on the ...

2003
Barry-John Theobald J. Andrew Bangham Iain A. Matthews Gavin C. Cawley

In this paper we describe how 2D appearance models can be applied to the problem of creating a near-videorealistic talking head. A speech corpus of a talker uttering a set of phonetically balanced training sentences is analysed using a generative model of the human face. Segments of original parameter trajectories corresponding to the synthesis unit are extracted from a codebook, normalised, bl...

Hisham Siaj, Azhar, K. M. Eshreteh, Mahmood,

Technology can be a robust tool for converting learning. It can help assert and improve relationships between instructors and learners, change our methods to learning and collaboration, narrow long-standing availability gaps, and modify learning experiences to meet the needs of all learners. This study aimed at investigating the students’ perceptions and attitudes towards blended learning...

2002
Mohd Yusoff Mashor Siti Noraini Sulaiman

Neural networks are known to be capable of providing good recognition rate at the present of noise where other methods normally fail. Neural networks with various architectures and training algorithms have successfully been applied for letter or character recognition. This paper uses MLP network trained using Levenberg-Marquardt algorithm to recognise noisy numerals. The recognition results of ...

Journal: :Science, Engineering, Education, and Development Studies (SEEDS): Conference Series 2018

Journal: :American journal of health, medicine and nursing practice 2022

Purpose: The objective was to determine the social-economic factors influencing blended learning among students in Kenya Medical Training College
 Methodology: A cross-sectional descriptive study done. In KMTC campuses average student population is thirty thousand (30,000). research used simple random sampling selected campuses. sample size 384. Primary data collected using questionnaires ...

2016
Muhammad R. Sajid Abrar F. Laheji Fayha Abothenain Yezan Salam Dina AlJayar Akef Obeidat

OBJECTIVES To evaluate student academic performance and perception towards blended learning and flipped classrooms in comparison to traditional teaching. METHODS This study was conducted during the hematology block on year three students. Five lectures were delivered online only. Asynchronous discussion boards were created where students could interact with colleagues and instructors. A flipp...

2017
Tapanee Hongratanaworakit

Article history: Received on: 01/12/2016 Revised on: 18/12/2016 Accepted on: 30/12/2016 Available online: 31/01/2017 The blended essential oil was composed of eucalyptus, rosemary, patchouli, and pine oils. The blended oil was analyzed by GC-MS. The effects of blended oil on autonomic parameters and emotional changes in humans following inhalation were an investigation in this study. Thirty hea...

Journal: :Eng. Appl. of AI 2011
Haiping Ma Dan Simon

Biogeography-based optimization (BBO) is a new evolutionary optimization method that is based on the science of biogeography. We propose two extensions to BBO. First, we propose a blended migration operator. Benchmark results show that blended BRO outperforms standard BBO. Second, we employ blended BRO to solve constrained optimization problems. Constraints are handled by modifying the BRO immi...

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