Intelligent computer-aided training and tutoring

Specific autonomous training systems based on artificial intelligence technology for use by NASA astronauts, flight controllers, and ground-based support personnel that demonstrate an alternative to current training systems are described. In addition to these specific systems, the evolution of a general architecture for autonomous intelligent training systems that integrates many of the features of traditional training programs with artificial intelligence techniques is presented. These Intelligent Computer-Aided Training (ICAT) systems would provide, for the trainee, much of the same experience that could be gained from the best on-the-job training. By integrating domain expertise with a knowledge of appropriate training methods, an ICAT session should duplicate, as closely as possible, the trainee undergoing on-the-job training in the task environment, benefitting from the full attention of a task expert who is also an expert trainer. Thus, the philosophy of the ICAT system is to emulate the behavior of an experienced individual devoting his full time and attention to the training of a novice - proposing challenging training scenarios, monitoring and evaluating the actions of the trainee, providing meaningful comments in response to trainee errors, responding to trainee requests for information, giving hints (if appropriate), and remembering the strengths and weaknesses displayed by the trainee so that appropriate future exercises can be designed

Knowledge Acquisition Mechanisms during New Technology Implementation Process of Malaysia’s Automotive Engineering Support Industry

Malaysia’s engineering support industry is crucial in supporting the country’s industry development because it is integrating to other economic sectors including manufacturing, construction, transportation and the primary industry. Players in this industry starting to upgrade their facilities and adopting new technologies to fulfill rigorous requirement of original equipment manufacturers (OEMs) for parts and components along with precision engineering service. Beside technology adoption, knowledge is the main advantage of firm to compete in the turbulence and increasingly complex new business environment. This research aims to explain the specific knowledge acquisition mechanisms used for three knowledge level as proposed by previous researcher. Semi-structured interview was conducted in two participating automotive tooling companies in Selangor to collect data for the study. Thematic analysis was conducted using NVivo. Results of this study found that among the knowledge acquisition mechanisms for declarative knowledge mentioned by the interviewees are basic training, intellectual capital, pre-departure training and instructor manual. The knowledge acquisition mechanisms for procedure knowledge includes external OJT, hiring external expert, related working experience, local training, benchmarking and personal observation. Finally, the knowledge acquisition mechanisms for conditional knowledge includes continuous improvement, learning by doing, project review and trial and error.

Supporting teachers’ collaboration in design teams to develop Technological Pedagogical Content Knowledge: the case of science teachers in Tanzania

This study assessed the effect of support on the teachers’ collaboration in design teams and development of Technological Pedagogical Content Knowledge (TPACK). The study was carried out in two secondary schools in Tanzania: Chang’ombe and Jitegemee secondary schools. From each school 10 teachers participated in the professional development program intended to develop TPACK. Four supports were provided during the professional development program: collaboration guidelines, online learning materials, exemplary lessons and human support (an expert). The pre and post intervention assessment of teachers’ perceived and observed knowledge and skills of integrating technology in teaching was done through questionnaire and interview. Other data collection instruments were observation checklist and focus group discussion. Findings revealed a significant different between the pre and post intervention teachers’ TPACK. Through support, teachers’ discussions in the design teams were precise, focused to the goals of the meeting and time efficient

Decision making models embedded into a web-based tool for assessing pest infestation risk

Current practices in agricultural management involve the application of rules and techniques to ensure high quality and environmentally friendly production. Based on their experience, agricultural technicians and farmers make critical decisions affecting crop growth while considering several interwoven agricultural, technological, environmental, legal and economic factors. In this context, decision support systems and the knowledge models that support them, enable the incorporation of valuable experience into software systems providing support to agricultural technicians to make rapid and effective decisions for efficient crop growth. Pest control is an important issue in agricultural management due to crop yield reductions caused by pests and it involves expert knowledge. This paper presents a formalisation of the pest control problem and the workflow followed by agricultural technicians and farmers in integrated pest management, the crop production strategy that combines different practices for growing healthy crops whilst minimising pesticide use. A generic decision schema for estimating infestation risk of a given pest on a given crop is defined and it acts as a metamodel for the maintenance and extension of the knowledge embedded in a pest management decision support system which is also presented. This software tool has been implemented by integrating a rule-based tool into web-based architecture. Evaluation from validity and usability perspectives concluded that both agricultural technicians and farmers considered it a useful tool in pest control, particularly for training new technicians and inexperienced farmers

Enhancing skills of critical reflection to evidence learning in professional practice

Professional organisations and regulatory bodies are making critical reflection a mandatory component of professional practice. Reflection is a vital part of learning from experience and is central to developing and maintaining competency across a practitioner's lifetime. This paper will discuss key educational theories to illustrate why reflection is important. Kolb's and Gibbs' reflective cycles are used to structure the process of critical reflection. Elements of the educational tradition of Bildung are discussed and integrated to enrich the understanding of self and to facilitate the reader's ability to enhance their professional practice

Integration of decision support systems to improve decision support performance

Decision support system (DSS) is a well-established research and development area. Traditional isolated, stand-alone DSS has been recently facing new challenges. In order to improve the performance of DSS to meet the challenges, research has been actively carried out to develop integrated decision support systems (IDSS). This paper reviews the current research efforts with regard to the development of IDSS. The focus of the paper is on the integration aspect for IDSS through multiple perspectives, and the technologies that support this integration. More than 100 papers and software systems are discussed. Current research efforts and the development status of IDSS are explained, compared and classified. In addition, future trends and challenges in integration are outlined. The paper concludes that by addressing integration, better support will be provided to decision makers, with the expectation of both better decisions and improved decision making processes

Embedding accessibility and usability: considerations for e-learning research and development projects

This paper makes the case that if e‐learning research and development projects are to be successfully adopted in real‐world teaching and learning contexts, then they must effectively address accessibility and usability issues; and that these need to be integrated throughout the project. As such, accessibility and usability issues need to be made explicit in project documentation, along with allocation of appropriate resources and time. We argue that accessibility and usability are intrinsically inter‐linked. An integrated accessibility and usability evaluation methodology that we have developed is presented and discussed. The paper draws on a series of mini‐case studies from e‐learning projects undertaken over the past 10 years at the Open University

Maintenance Knowledge Management with Fusion of CMMS and CM

Abstract- Maintenance can be considered as an information, knowledge processing and management system. The management of knowledge resources in maintenance is a relatively new issue compared to Computerized Maintenance Management Systems (CMMS) and Condition Monitoring (CM) approaches and systems. Information Communication technologies (ICT) systems including CMMS, CM and enterprise administrative systems amongst others are effective in supplying data and in some cases information. In order to be effective the availability of high-quality knowledge, skills and expertise are needed for effective analysis and decision-making based on the supplied information and data. Information and data are not by themselves enough, knowledge, experience and skills are the key factors when maximizing the usability of the collected data and information. Thus, effective knowledge management (KM) is growing in importance, especially in advanced processes and management of advanced and expensive assets. Therefore efforts to successfully integrate maintenance knowledge management processes with accurate information from CMMSs and CM systems will be vital due to the increasing complexities of the overall systems. Low maintenance effectiveness costs money and resources since normal and stable production cannot be upheld and maintained over time, lowered maintenance effectiveness can have a substantial impact on the organizations ability to obtain stable flows of income and control costs in the overall process. Ineffective maintenance is often dependent on faulty decisions, mistakes due to lack of experience and lack of functional systems for effective information exchange [10]. Thus, access to knowledge, experience and skills resources in combination with functional collaboration structures can be regarded as vital components for a high maintenance effectiveness solution. Maintenance effectiveness depends in part on the quality, timeliness, accuracy and completeness of information related to machine degradation state, based on which decisions are made. Maintenance effectiveness, to a large extent, also depends on the quality of the knowledge of the managers and maintenance operators and the effectiveness of the internal & external collaborative environments. With emergence of intelligent sensors to measure and monitor the health state of the component and gradual implementation of ICT) in organizations, the conceptualization and implementation of E-Maintenance is turning into a reality. Unfortunately, even though knowledge management aspects are important in maintenance, the integration of KM aspects has still to find its place in E-Maintenance and in the overall information flows of larger-scale maintenance solutions. Nowadays, two main systems are implemented in most maintenance departments: Firstly, Computer Maintenance Management Systems (CMMS), the core of traditional maintenance record-keeping practices that often facilitate the usage of textual descriptions of faults and actions performed on an asset. Secondly, condition monitoring systems (CMS). Recently developed (CMS) are capable of directly monitoring asset components parameters; however, attempts to link observed CMMS events to CM sensor measurements have been limited in their approach and scalability. In this article we present one approach for addressing this challenge. We argue that understanding the requirements and constraints in conjunction - from maintenance, knowledge management and ICT perspectives - is necessary. We identify the issues that need be addressed for achieving successful integration of such disparate data types and processes (also integrating knowledge management into the “data types” and processes)

Integrating content-based language learning and intercultural learning online: An international eGrops collaboration

Learning language through content in the tertiary context presents a challenge in that language teachers, particularly in EAP/ESP contexts, are not necessarily experts in their students’ speciality subject areas, while subject experts might lack language teaching methodology. Furthermore, intercultural awareness, a key qualification in today’s global work environment, tends to take a back seat in a content-based approach. This paper reports on a didactic concept which integrates subject-based language learning with intercultural experience through online collaboration in an international eGroups set-up. The creation of a collaborative learning space aimed to bring together learners from different cultural contexts (New Zealand and Germany) and with different target languages (German and English) towards shared learning outcomes. Data from student interactions will help illustrate to what extent the eGroups model promoted interactive, communicative and intercultural competence through content-related bilingual collaboration