Research on English Teaching Information Pushing Method Based on Intelligent Adaptive Learning Platform

Author(s):  
Mingqi Wang ◽  
Yuanyuan Wang
Author(s):  
Neil Tuttle

Adaptive learning platforms that individualize each learner's experience according to their input have only recently become widely accessible. This chapter illustrates some of the potential of adaptive learning platforms and describes a case study where this emerging technology has been used with physiotherapy students in a simulated clinical setting. Aspects of patient care scenarios presented with an adaptive learning platform were interleaved with live simulated patient interactions. Evaluation of the projects and the benefits and challenges of using adaptive learning platforms in biomedical education are discussed.


2016 ◽  
Vol 20 (3) ◽  
Author(s):  
Charles Dziuban ◽  
Patsy Moskal ◽  
Jeffrey Cassisi ◽  
Alexis Fawcett

This paper presents the results of a pilot study investigating the use of the Realizeit adaptive learning platform to deliver a fully online General Psychology course across two semesters. Through mutual cooperation, UCF and vendor (CCKF) researchers examined students’ affective, behavioral, and cognitive reactions to the system. Student survey results indicated that students found the system easy to use and were generally positive about their seamless transition to adaptive learning. While the majority of students were successful, learning outcome metrics utilizing Realizeit indices indicated a potential for early prediction of students who are likely to be at risk in this environment. Recommendations are presented for the benefits of cooperative research between users and vendors.


2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Qianbo Li

With the economic development in our country, there are more and more international exchanges and communications. Hence, the ability to read, write, and communicate in English is essential and very necessary. In traditional English classroom teaching, teachers are the disseminators of knowledge, whereas students only receive knowledge passively. Due to the limitation of teaching hours and the lack of teaching approaches, it is necessary to make up for the insufficiency in the teaching activities through computer technology and multimedia technology. Abundant teaching approaches can cultivate the independent inquiry ability of students, and the establishment of such an English learning platform is conducive to improving the students’ ability to make full use of the information technology. Through teaching and learning, the students can become the main entity in the English teaching, which can stimulate their enthusiasm and form a good awareness for English learning. In this paper, the radial basis function (hereinafter referred to as RBF for short) algorithm is adopted. Combined with the constructive English teaching method, practical design and construction are carried out by analyzing the concepts, principles, and application strategies of smart classroom teaching in the multimedia background. The practice has proved that the method proposed in this paper is effective and has certain research value and positive significance for the research on English teaching.


Author(s):  
Khalid Almohammadi ◽  
Hani Hagras ◽  
Daniyal Alghazzawi ◽  
Ghadah Aldabbagh

Abstract Technological advancements within the educational sector and online learning promoted portable data-based adaptive techniques to influence the developments within transformative learning and enhancing the learning experience. However, many common adaptive educational systems tend to focus on adopting learning content that revolves around pre-black box learner modelling and teaching models that depend on the ideas of a few experts. Such views might be characterized by various sources of uncertainty about the learner response evaluation with adaptive educational system, linked to learner reception of instruction. High linguistic uncertainty levels in e-learning settings result in different user interpretations and responses to the same techniques, words, or terms according to their plans, cognition, pre-knowledge, and motivation levels. Hence, adaptive teaching models must be targeted to individual learners’ needs. Thus, developing a teaching model based on the knowledge of how learners interact with the learning environment in readable and interpretable white box models is critical in the guidance of the adaptation approach for learners’ needs as well as understanding the way learning is achieved. This paper presents a novel interval type-2 fuzzy logic-based system which is capable of identifying learners’ preferred learning strategies and knowledge delivery needs that revolves around characteristics of learners and the existing knowledge level in generating an adaptive learning environment. We have conducted a large scale evaluation of the proposed system via real-word experiments on 1458 students within a massively crowded e-learning platform. Such evaluations have shown the proposed interval type-2 fuzzy logic system’s capability of handling the encountered uncertainties which enabled to achieve superior performance with regard to better completion and success rates as well as enhanced learning compared to the non-adaptive systems, adaptive system versions led by the teacher, and type-1-based fuzzy based counterparts.


Author(s):  
Filomena Ferrucci ◽  
Giuseppe Scanniello ◽  
Genoveffa Tortora

In this chapter the authors present E-World, an e-learning platform able to manage and trace adaptive learning processes which are designed and created by means of a visual language based tool. To address the goal to have a platform easily extensible with new services, they have designed it selecting a software architecture based on the use of Web Services and a suitable Middleware component. To trace adaptive learning processes E-World also integrates as Web Service a suitable implementation of a Run- Time Environment compliant with the Sharable Content Object Reference Model (SCORM) standard. Their proposal also supports the “anytime and anywhere” learning paradigm as it enables learners to enjoy linear or adaptive processes using any device equipped with a standard Web browser. In the chapter they also report on the experiment we have carried out to assess the usability of the proposed e-learning platform.


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