The Conversational Framework, adapted for learning through
DESIGNING A WEB-BASED MULTIMEDIA LEARNING ENVIRONMENT WITH LAURILLARD S CONVERSATIONAL FRAMEWORK: AN INVESTIGATION ON INSTRUCTIONAL RELATIONSHIPS
... student’s learning process as interactions and communication processes are ...create learning environments that stimulate discourse, dialogue and ...Laurillard's Conversational Framework was ...
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Building a conversational framework for e learning to support the future implementation of learning technologies
... and learning than it is about the use of technology – Laurillard (2007, ...in learning and teaching, yet it is often lost in the big strategic rollout of technologies and the “minimum expectations” ...
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Adapted for remote Learning paper based. Adapted for remote Learning - online Football (Boys): Lesson 1: Passing
... - Extend and follow through with arms, wrists and fingers. - Path of ball should flat and fast. Students to then play an endzone game which will focus on students using a range of passes to get the ball into the ...
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Browns principles of language learning (adapted).docx
... Meaningful Learning Research on learning shows that meaningful learning is superior to rote ...meaningful learning, new ideas and information are connected to information that the learner ...
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A Faculty-Friendly Framework for Improving Teaching and Learning through Service-Learning
... Service-learning Framework to Best Fit Your Teaching and Learning ...faculty-friendly framework can easily be adapted to any course to develop or institute a holistic approach to SL ...
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Form J- Adapted Physical Education Teacher Framework for Teaching.docx
... The learning tasks and activities require only minimal thinking by students and little opportunity for physical activity, allowing students to be ...in learning or physical activity or may be so slow that ...
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Learning Knowledge Graphs for Question Answering through Conversational Dialog
... K NOWBOT achieves accuracy of 57%, a dramatic improvement over both baselines. Importantly, this value does not test generalization to unseen ques- tions, since K NOWBOT has held dialogs on these questions. However, it ...
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Learning to Ask for Conversational Machine Learning
... machine learning models. Here, we explore learning classification tasks using lan- guage in a conversational setting – where the automated learner does not simply receive lan- guage input from a ...
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Deep Learning for Conversational AI
... style conversational agents, showing that explicit language grounding is crucial for goal-oriented dialogue response ...collection framework can be used to collect significant amounts of data at acceptably ...
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Semantic similarity framework for Thai conversational agents
... activities. Conversational Agents save firms a lot of money these days, whether through unmanned call centres or as personal shopping or navigation assistants, as the need to employ staff has been greatly ...
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Interactive Language Acquisition with One shot Visual Concept Learning through a Conversational Game
... In the current work, we have designed and used a computer game (synthetic task with synthetic language) for training the agent. This is mainly due to the fact that there is no existing dataset to the best of our ...
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A framework of metacognitive scaffolding in learning through facebook
... focused on the medium that is capable of becoming the platform for the discussions. Social networking tools such as Facebook is recognized as an ideal platform for students to interact and discuss with their friends and ...
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Teaching Conversational Strategies Through Video Clips1
... of learning English, many students in Asia cannot communicate with confidence or success to meet the demand to use English for their careers (Chuanchaisit & Prapphal, 2009; Kawale, 2011; Xiao & Petraki, ...
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A Knowledge-Based Framework for the Rapid Development of Conversational Recommenders
... The goal of the A DVISOR S UITE project was to develop a framework and correspon- ding tools for rapidly building intelligent, maintainable conversational recommenders for arbitrary domains. Using an expert ...
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A General Evaluation Framework for Text Based Conversational Agent
... The objective evaluation approach evaluates a CA as a whole system (black box approach) or evaluates the CA‟s components individually (glass box approach). A black box evaluates the system as a whole, based on user ...
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Imitation Learning Applied to Embodied Conversational Agents
... margin framework, a general and natural way to introduce regular- ization is to add to J(q) a regularization term W (q) and to consider the following optimization ...
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Intelligent intervention by conversational agent through chatlog analysis
... Discussion and further analysis LIWC analysis did not find support for the hypothesis that the interventions for keyworders and morers would have a positive influence on social presence, as a dimension of ...
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Transforming a School into a Learning Community by Integrating FIRST Framework through a Professional Development Framework
... the learning journey ...that learning should not head on from one topic to another without giving ample time for learners to reflect on their learning in order to transform their experiences into ...
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Domain-sensitive topic management in a modular conversational agent framework
... A taxonomy is a classification according to general laws 6 , which uses subsumption relations as the main mechanism of classification. Constructing ontologies involves not only the acqui- sition of the semantics and ...
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KILLE: a Framework for Situated Agents for Learning Language Through Interaction
... formed over TCP/IP nodes can be distributed over several machines. For dialogue management we use OpenDial 2 (Lison, 2013) which is a domain independent dia- logue manager supporting probabilistic rules. It comes ...
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