A naive bayes approach for converging learning objects with open educational resources

Open educational resources (OER) are digitised material freely available to the students and self learners. Many institutions had initiated in incorporating these OERs in their higher educational system, to improve the quality of teaching and learning. These resources promotes individualised study, collaborative learning. If they are coupled with Learning Objects of Learning Management System (LMS), they can lead to opportunities for further pedagogical innovation. It has become increasingly important for educational institutions to support these resources, in a planned and systematic manner. Adapt, assemble and conceptualise existing OERs to respond to diverse learning needs of students and support a variety of learning approaches for a given learning goal is a challenge. In this work, convergence of OERs with Learning Objects is done through metadata using classification techniques. Localisation of these high quality learning materials with the learning content of LMS, delivered as a single instructional unit may help in greater knowledge delivery and this can satisfy the learning needs of diverse student.     

An investigation on the correlation of learner styles and learning objects characteristics in a proposed Learning Objects Management Model (LOMM)

The issues of accessibility, management, storage and organization of Learning Objects (LOs) in education systems are a high priority of the Thai Government. Incorporating personalized learning or learning styles in a learning object management system to improve the accessibility of LOs has been addressed continuously in the Thai education system. A proposed Learning Object Management Model (LOMM) is discussed in this paper which aims to adapt and optimize the learning process based on characteristics of the individual learners. This study aims to find the correlation between learning styles and LOs characteristics in the LOMM. Decision Tree and Apriori algorithms were used to generate a predictive model for the classification of learners. Development of the predictive model was based on survey results from 1,586 high school students in Nakhon Ratchasima province, Thailand. The diverse LOs characteristics were analyzed in order to find the correlation with learning styles of the learners. The classification model consists of 24 sub-models used to predict a learner’s class based on 8 groups of LOs characteristics. The best accuracy obtained in the study was 80.23%. Finally, for the next phase this approach has been designed to support the proposed LOMM and it is expected that it could be readily applied to other e-learning systems and digital repositories.     

Design and implementation of a SMART Learning environment for the Upskilling of Cybersecurity professionals in Mauritius

Teaching and Learning confined to within the four walls of a classroom or even online Learning through Massive Online Courses (MOOCs) and other Learning Content Management Systems (LCMS) are no longer seen as the optimal approach for competency and skills development, especially for working professionals. Each of these busy learners have their own training needs and prior knowledge. Adopting the one-size-fits-all teaching approach is definitely not effective, motivating and encouraging. For some learners, the content might be too easy and for others, it might be too difficult. This is why this research presents the use of SMART Learning Environment that makes use of Intelligent Techniques to personalise the learning materials for each learner. This mismatch in skills is becoming a pressing issue and is having a direct impact on the ICT Sector, which is one of the pillars of the Mauritian Economy. This research, therefore, besides proposing a novel approach to learning, also attempts to address an issue of national importance. Data was collected during three phases, namely an Expert Reference Group Discussion, a pre-test questionnaire and a survey questionnaire. The Expert Reference Group Discussion was carried out to further understand the training needs and expectations of Cybersecurity professionals in Mauritius. A SMART Learning Environment making use of Artificial Neural Networks and Backpropagation Algorithm to personalise learning materials was eventually designed and implemented. The major findings of this research were that personalisation of learning materials through the use of a SMART Learning Environment can be used to address the training needs of Cybersecurity professionals in Mauritius.

     

大数据视角分析学习变革——美国《通过教育数据挖掘和学习分析促进教与学》报告解读及启示

“数据驱动学校,分析变革教育”的大数据时代已经来临,利用教育数据挖掘技术和学习分析技术,构建教育领域相关模型．探索教育变量之间的相关关系．为教育教学决策提供有效支持将成为未来教育的发展趋势。“大数据”的出现．将掀起人类教与学的又一次变革。2012年,美国国家教育部发布了《通过教育数据挖掘和学习分析促进教与学》报告．对美国国内大数据教育应用领域和案例。以及应用实施所面临的挑战进行了详细的介绍。借鉴此报告．我们认为未来我国教育领域的大数据研究和应用。应加强国家和地方对相关的研究和应用在技术层面、管理体制层面以及法律制度层面的支持,按需合理规划具体研究和应用,整合现有资源,发挥后进优势,借助“大数据”实现真正意义上的个性化学习．进而实现教育公平。     

Application of learning analytics using clustering data Mining for Students’ disposition analysis

Learning Analytics (LA) is an emerging field in which sophisticated analytic tools are used to improve learning and education. It draws from, and is closely tied to, a series of other fields of study like business intelligence, web analytics, academic analytics, educational data mining, and action analytics. The main objective of this research work is to find meaningful indicators or metrics in a learning context and to study the inter-relationships between these metrics using the concepts of Learning Analytics and Educational Data Mining, thereby, analyzing the effects of different features on student’s performance using Disposition analysis. In this project, K-means clustering data mining technique is used to obtain clusters which are further mapped to find the important features of a learning context. Relationships between these features are identified to assess the student’s performance.     

自主学习过程中的个人知识管理

本文首先论述了信息技术环境下,自主学习过程中进行个人知识管理的必要性;在此基础上介绍了个人知识管理的概念和个人知识过程,然后从实际操作的角度重点探讨了自主学习中个人知识管理三个主要步骤:构建个人知识仓库、知识的共享和交流、知识的实践应用。     

大学知识管理目标初探——基于Barton的组织核心能力模型

从战略视角看,大学知识管理表现为目标和手段的有效结合,其中,明确的知识管理目标是大学实施知识管理的出发点和归宿。本文基于前人研究,并结合Barton的组织核心能力模型建构了大学知识管理目标体系框架,对其进行了较为深入的论述。     

用Blog辅助网络教学平台实现在线学习的知识管理

网络教学平台与Blog一直是两个相对独立的系统,对于学习者的自主和协作学习有不同的促进作用。其中网络教学平台不利于实现个人的知识管理和知识共享,Blog在实现课程学习和交互作用方面也存在缺憾。如果能实现两者的良好结合及优势互补．就可让网络远程教学发挥出更好的教学效果。     

Exploring online students’ self-regulated learning with self-reported surveys and log files: a data mining approach

Many researchers who are interested in studying students’ online self-regulated learning (SRL) have heavily relied on self-reported surveys. Data mining is an alternative technique that can be used to discover students’ SRL patterns from large data logs saved on a course management system. The purpose of this study was to identify students’ online SRL patterns with the use of data mining techniques. We examined both self-reported self-regulation surveys and log files to predict online students’ achievements and found using log files was more powerful in predicting students’ achievements in an online course than self-reported survey data. Discussions to enhance teaching and learning practices with the use of data mining are provided.     

A new approach to personalization: integrating e-learning and m-learning

Most personalized learning systems are designed for either personal computers (e-learning) or mobile devices (m-learning). Our research has resulted in a cloud-based adaptive learning system that incorporates mobile devices into a classroom setting. This system is fully integrated into the formative assessment process and, most importantly, coexists with the present e-learning environment. Unlike many mobile learning systems, this system provides teachers with real-time feedback about individual and group learners. Its scalable and extendable architectural framework includes the server-side pedagogical recommendation of content adaptation based on the users?? knowledge-levels and preferences. Content is also automatically adapted to the end device that is being used. This context-aware delivery allows users to switch between e-learning and m-learning, and between devices, without any loss in personalized content. Our work builds on a web-based Adaptive Learning and Assessment System (ALAS) that is built on the Knowledge Space Theory model. At present, this system is used at school computer labs and our goal was to widen this user-base by enhancing this system to support personalized learning on mobile devices. This study describes our process of developing this technology, and contains an empirical analysis of students?? performance, perceptions, and achievements when using ALAS on both personal computers and mobile devices.     

SECI模式应用于校际协作学习的探究

借鉴知识管理的思想,依据知识管理中知识分类的方法,笔者对校际协作学习中所涉及到的主要知识进行了分类,并将SECI模式及其策略应用于校际协作学习,从知识转换的角度建立了校际协作学习开展的模式。     

Classroom Questioning with Immediate Electronic Response: Do Clickers Improve Learning?

A number of studies have focused on how students and instructors feel about digital learning technologies. This research is focused on the substantive difference in learning outcomes between traditional classrooms and classrooms using clickers. A randomized block experimental design involving four sections of undergraduate Operations Management classes was used to determine if clicker systems increase student learning of both quantitative and conceptual material in Operations Management. Learning was measured using the difference between the scores on an entrance examination and the final examination. The findings of this research provide evidence that the use of immediate feedback using a technology like clickers can have a positive impact on student learning as measured by test scores.     

Mapping out the integration of the components of pedagogical content knowledge (PCK): Examples from high school biology classrooms

This study explored the nature of the integration of the five components of pedagogical content knowledge (PCK): (a) Orientations toward Teaching Science, (b) Knowledge of Student Understanding, (c) Knowledge of Instructional Strategies and Representations, (d) Knowledge of Science Curriculum, and (e) Knowledge of Assessment of Science Learning. Given the topic and context specificity of PCK, this investigation was conducted in the context of the photosynthesis and heredity instruction of four teachers who were working at the same high school with the same curricular materials. Data sources included classroom observations, semi‐structured interviews, lesson plans, instructional materials, and students' work samples. Data were analyzed through three different approaches: (a) in‐depth analysis of explicit PCK, (b) enumerative approach, and (c) the constant comparative method. Data analysis indicated five salient features of the integration of the PCK components: (a) the integration of the components was idiosyncratic and topic‐specific; (b) Knowledge of Student Understanding and Knowledge of Instructional Strategies and Representations were central in the integration; (c) Knowledge of Science Curriculum and Knowledge of Assessment of Science Learning had most limited connection with other components; (d) Knowledge of Assessment of Science Learning was more often connected with Knowledge of Student Understanding and Knowledge of Instructional Strategies and Representations than with the other components; and (e) Didactic Orientations toward Teaching Science directed Knowledge of Instructional Strategies and Representations inhibiting its connection with other components. This study highlights that the quality of PCK depends on the coherence among the components as well as the strength of individual components. From a methodological perspective, this study demonstrates the possibility to make PCK more visible and accessible by using a PCK Map, a pictorial representation of the interactions of the PCK components. © 2012 Wiley Periodicals, Inc. J Res Sci Teach 49: 922–941, 2012     

A blended learning approach for teaching computer programming: design for large classes in Sub-Saharan Africa

The challenge of teaching programming in higher education is complicated by problems associated with large class teaching, a prevalent situation in many developing countries. This paper reports on an investigation into the use of a blended learning approach to teaching and learning of programming in a class of more than 200 students. A course and learning environment was designed by integrating constructivist learning models of Constructive Alignment, Conversational Framework and the Three-Stage Learning Model. Design science research is used for the course redesign and development of the learning environment, and action research is integrated to undertake participatory evaluation of the intervention. The action research involved the Students’ Approach to Learning survey, a comparative analysis of students’ performance, and qualitative data analysis of data gathered from various sources. The paper makes a theoretical contribution in presenting a design of a blended learning solution for large class teaching of programming grounded in constructivist learning theory and use of free and open source technologies.     

院校研究与学习分析

院校研究与学习分析在学习研究方面同异并存,皆利用大数据探寻学生学习的优劣.院校研究主要依赖大学的管理和调查数据,学习分析主要使用学习管理系统收集的数据.院校研究聚焦于帮助大学“知己知彼”,学习分析旨在助力“知学生”“知学习”“知教育”.院校研究为学校层面决策提供实证研究证据,学习分析识别学生个体学习行为从而支持个性化学...     

A validation framework for science learning progression research

This article provides a validation framework for research on the development and use of science Learning Progressions (LPs). The framework describes how evidence from various sources can be used to establish an interpretive argument and a validity argument at five stages of LP research—development, scoring, generalisation, extrapolation, and use. The interpretation argument contains the interpretation (i.e. the LP and conclusions about students’ proficiency generated based on the LP) and the use of the LP. The validity argument specifies how the evidence from various sources supports the interpretation and the use of the LP. Examples from our prior and current research are used to illustrate the validation activities and analyses that can be conducted at each of the five stages. When conducting an LP study, researchers may use one or more validation activities or analyses that are theoretically necessary and practically applicable in their specific research contexts.     

数据挖掘在学习管理系统中应用的研究进展综述

数据挖掘和远程教育是当前两大热点领域,基于前者的学习管理系统是远程教育领域研究的热点和方向。文章首先剖析了近年来高等教育面临的形势和发生的变革,在此基础上引出了学习管理系统和数据挖掘的价值和必要性。随后重点分析了学习管理系统在高校中的使用情况,揭示了在线学习模式对教育领域的新启示,并介绍了数据挖掘在学习管理系统中的成功案例,从中可以看出学习管理系统的发展历程、现状和趋势。通过调研,研究者认为高等教育机构更多地采用学习管理系统进行在线教学的方式是未来的趋势,同时数据挖掘技术的采用是成功的关键。     

基于数据挖掘技术的资源型学习

数据挖掘技术是一个正在迅速发展的新兴领域，受到社会各界的重视，在现今的应用中，数据挖掘技术主要用于商业，军事，工业等领域的决策应用，在本中，我们将通过对数据挖掘技术、知识发现，资源型学习的认识来讨论一种基于数据挖掘技术的资源型学习。     

Networked Learning and Learning Analytics: A Study on the Employment of Facebook in a Virtual Training Program

The growing popularity of Social Networking Sites (SNS) that are embedded with networked infrastructures serves as an ideal platform for developing a networked learning environment connecting geographically dispersed learners. Unlike the traditional learning systems which provide only limited sources of data, the learners engaged in virtual networked social environments tend to produce huge volumes of digital footprints that cannot be analyzed using conventional analytical techniques. Two new branches of analytical sciences – Educational Data Mining (EDM) and Learning Analytics (LA) – are being employed for processing digital data derived from online educational platforms in order to obtain meaningful inferences and data-driven insights.

Hence, the present experimental study involving a small group of geographically dispersed learners intend to examine the engagement level and interaction patterns that occur within a feminist networked learning environment created in Facebook using popular EDM and learning analytical techniques such as K-means Clustering, Social network analysis and correlation mining. Upon analysis, it was found that the peer network influence played a vital role in activating passive learners, eventually leading to the development of a closely bound networked learning community over time.     

基于魔灯(Moodle)的研究性学习模式初探

本文探讨了利用魔灯学习管理系统进行研究性学习的特点,并就以魔灯为中介的师生、生生之间的互助合作,提出了一种基于魔灯的研究性学习模式。