نتایج جستجو برای: autonomous learning activities

تعداد نتایج: 1009060  

Journal: :توسعه کارآفرینی 0
قنبر محمدی الیاسی دانشیار دانشکدة کارآفرینی، دانشگاه تهران خدایار ابیلی دانشیار دانشکدة روان شناسی، دانشگاه تهران ندا مثنوی کارشناس ارشد مدیریت کارآفرینی، دانشگاه تهران

the issue of entrepreneurial learning and entrepreneurs’ different learning methods are addressed to attract and empower young interested people to create and manage business activities. although learning has a crucial role in the process of entrepreneurship, entrepreneurs and researchers lack a comprehensive pattern for explaining learning in terms of sources, methods, as well as entrepreneurs...

2011
Weiwei Song Shukun Cao Bo Yang Kaifeng Song Changzhong Wu

Autonomous learning plays an important role in raising students’ learning effect and innovation ability in university education. An effective e-learning environment is indispensable in autonomous learning. This paper studies a web based e-learning system and examines students’ autonomous learning ability and perceptions of e-learning taking students at University of Jinan in China as an example...

Journal: :Neural networks : the official journal of the International Neural Network Society 2013
Alexander Gepperth

This is a simulation-based contribution exploring a novel approach to the open-ended formation of multimodal representations in autonomous agents. In particular, we address the issue of transferring ("bootstrapping") feature selectivities between two modalities, from a previously learned or innate reference representation to a new induced representation. We demonstrate the potential of this alg...

2012
Nan Chen

The swift development of multimedia technology is further promoting the College English Teaching reform. College English autonomous learning model, based on a combination of student-centered teaching concept with multimedia technology, is one of the most important developing trends in the process of the reform. This paper discusses the difference of student’s autonomous learning ability between...

2015
Martin Pecka

In the thesis we propose, we focus on equipping existing Reinforcement Learning algorithms with different kinds of safety constraints imposed on the exploration scheme. Common Reinforcement Learning algorithms are (sometimes implicitly) assumed to work in an ergodic1, or even “restartable” environment. However, these conditions are not achievable in field robotics, where the expensive robots ca...

2005
Anelia Angelova Andrew Howard Larry Matthies Benyang Tang Michael Turmon Eric Mjolsness Jane Mulligan Greg Grudic

Autonomous off-road navigation of robotic ground vehicles has important applications on Earth and in space exploration. Progress in this domain has been retarded by the limited lookahead range of 3-D sensors and by the difficulty of preprogramming systems to understand the traversability of the wide variety of terrain they can encounter. Enabling robots to learn from experience may alleviate bo...

2015
Martin S. Hagger Sarwat Sultan Sarah J. Hardcastle Nikos L.D. Chatzisarantis

We adopted a trans-contextual model of motivation to examine the processes by which school students’ perceived autonomy support (defined as students’ perceptions that their teachers’ support their autonomous or self-determined motivation) and autonomous forms of motivation (defined as motivation to act out of a sense of choice, ownership, and personal agency) toward mathematics activities in an...

2015
David Ellis Bill Boyd

Any curriculum is a construct of perceived social, political and economic needs developed at a point in time. Given that these needs are in a constant state of flux, the curriculum is subjected to periodical renewal and development processes. Gaining more visibility in the iterations of curriculum documentation is the need for Australians to be more aware of their activities impacting on the en...

2017
John E. Laird Shiwali Mohan

We propose two distinct levels of learning for general autonomous intelligent agents. Level 1 consists of fixed architectural learning mechanisms that are innate and automatic. Level 2 consists of deliberate learning strategies that are controlled by the agent’s knowledge. We describe these levels and provide an example of their use in a task-learning agent. We also explore other potential leve...

2011
Yunxia Song Min Huang Min Yang Botao Wang

Experiential learning is the process whereby knowledge is created through the transformation of experience. EL-based English learning is autonomous learning by nature which can be divided into six stages: experiencing, sharing, reflecting, theorizing, applying, and evaluating. This paper investigates the effective learning strategies applied in each stage, probes into the appropriate use of the...

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