The ‘learners-preferences’-based adaptive m-learning generation
The impact of learners' characteristics on m-learning preferences, and how m-learning preferences form choices in different contexts
... on m-learning preferences and engagement in different ...2.6.3 Learning style models and its effect on m-learning It is possible that the learning styles of individual ...
178
Adaptive Feedback Message Generation for Second Language Learners of Arabic
... 4 System Evaluation We conducted an experiment that measures how successfully the proposed model diagnoses errors and provides correct error specific feedback that conforms to the learning level. The quantitative ...
6
An evaluation of an adaptive learning system based on multimodal affect recognition for learners with intellectual disabilities
... Penelope J. Standen, Emeritus Professor, Division of Rehabilitation and Ageing, University of Nottingham. Research interests in improving the quality of life for people with intellectual disabilities through psychosocial ...
18
An evaluation of an adaptive learning system based on multimodal affect recognition for learners with intellectual disabilities
... Penelope J. Standen, Emeritus Professor, Division of Rehabilitation and Ageing, University of Nottingham. Research interests in improving the quality of life for people with intellectual disabilities through psychosocial ...
18
Hierarchical Reinforcement Learning for Adaptive Text Generation
... structure. Generation deci- sions in these areas were learnt based on three differ- ent variables: the type of user, the properties of the spatial environment and the proportion of alignment and variation ...
9
Learning Style Preferences of the Cohorts: Generation X, Baby Boomers, and the Silent Generation
... structure, learning alone/peer oriented, several ways, au- ditory, visual, kinesthetic, intake, learning/working in the evening/morn- ing, late morning, afternoon, and ...inventory based on the ...
9
Semantically Enchanced Personalised Adaptive E-Learning for General and Dyslexia Learners: An Ontology Based Approach
... e- learning has achieved advancement in various fields such as adaptive e-learning ...module based e-learning for computer science programme on a learner- centric ...The learners ...
7
A study exploring learners' informal learning space behaviors, attitudes, and preferences
... The learning spaces study at Sheffield Hallam University seeks to contribute to learning spaces dialogue by suggesting that when evaluating or planning an informal learning space there are nine ...
34
The effects of learners' personality traits on m-learning
... in learning (Chamorro-Premuzic and Furnham ...and m-learning activities. MBTI classifies people, based on their self-reporting behaviour, preferences and value judgments into four ...
12
A possible future for next generation adaptive learning systems
... current generation of adaptive systems, including Intelligent Tutoring Systems, suffer from two major ...domains. Learners and instructors, therefore, have little or no ability to control or vary the ...
24
Domain Adaptive Dialog Generation via Meta Learning
... domain adaptive dialog generation method based on meta-learning ...of learning a competitive dialog system on a new domain with only a few training examples in an effi- cient ...
11
Examining the Match or Mismatch between Teaching Style preferences and Upper-intermediate EFL Learners’ Learning Style Preferences
... new learning scales (Group, Tactile and Guided Learning Scales) were ...The Learning Style Preference and the Teaching Style Preferences Questionnaires were administrated to the students and ...
6
The Relationship Between Learning Strategies Employed by EFL Learners and their Preferences for Assessment Techniques
... In the past twenty years, advances in the technology of test design and development, along with the availability and use of ever more sophis- ticated computer- and web-based applications for test administration, ...
24
Learning Styles Preferences Among Usm Distance Learners Via Videoconferencing Technology.
... dominant learning styles of SDE- USM distance learners with the usage of videoconferencing ...is based on Grasha-Reichmann learning styles model such as independent, dependent, competitive, ...
14
Making Web based Learning Adaptive
... Structural links illustrate the structural layout of the web site. These include ‘jump’ links within a page to provide direct access to page fragments, ‘next’ and ‘previous’ page links that ensure coherency between the ...
6
Comprehension based adaptive learning systems
... 92 Conversational intelligent tutoring systems and expert systems information provided by learners. When information is incorrect, follow-up dialogues should help to fill the gaps in knowledge and correct ...
321
Adaptive E-Learning System Based On Learning Interactivity
... collaborative learning. The new generation of tools almost solved the traditional problems involved in adaptive learning ...current generation of AWBES lies in their architecture, not ...
7
Learning Preferences for Referring Expression Generation: Effects of Domain, Language and Algorithm
... In this study, both the costs and orders required by Graph are derived from corpus data. We base the property order on the frequency with which each attribute-value pair is mentioned in a training cor- pus, relative to ...
9
A context aware and adaptive learning schedule framework for supporting learners' daily routines
... A learning context describes the current situation of a learner related to a learning activity, and continually changes in a mobile learning ...mobile learning has become an essential part ...
7
Web Log Pre-processing and Analysis for Generation of Learning Profiles in Adaptive E-learning
... the learning styles of the learners according to ...of learners. The method of capturing the learning styles comprises IIS log files and database entries where important parameters of ...
8