9,977 research outputs found

    Modelling human teaching tactics and strategies for tutoring systems

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    One of the promises of ITSs and ILEs is that they will teach and assist learning in an intelligent manner. Historically this has tended to mean concentrating on the interface, on the representation of the domain and on the representation of the student’s knowledge. So systems have attempted to provide students with reifications both of what is to be learned and of the learning process, as well as optimally sequencing and adjusting activities, problems and feedback to best help them learn that domain. We now have embodied (and disembodied) teaching agents and computer-based peers, and the field demonstrates a much greater interest in metacognition and in collaborative activities and tools to support that collaboration. Nevertheless the issue of the teaching competence of ITSs and ILEs is still important, as well as the more specific question as to whether systems can and should mimic human teachers. Indeed increasing interest in embodied agents has thrown the spotlight back on how such agents should behave with respect to learners. In the mid 1980s Ohlsson and others offered critiques of ITSs and ILEs in terms of the limited range and adaptability of their teaching actions as compared to the wealth of tactics and strategies employed by human expert teachers. So are we in any better position in modelling teaching than we were in the 80s? Are these criticisms still as valid today as they were then? This paper reviews progress in understanding certain aspects of human expert teaching and in developing tutoring systems that implement those human teaching strategies and tactics. It concentrates particularly on how systems have dealt with student answers and how they have dealt with motivational issues, referring particularly to work carried out at Sussex: for example, on responding effectively to the student’s motivational state, on contingent and Vygotskian inspired teaching strategies and on the plausibility problem. This latter is concerned with whether tactics that are effectively applied by human teachers can be as effective when embodied in machine teachers

    Using the Internet to improve university education

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    Up to this point, university education has largely remained unaffected by the developments of novel approaches to web-based learning. The paper presents a principled approach to the design of problem-oriented, web-based learning at the university level. The principles include providing authentic contexts with multimedia, supporting collaborative knowledge construction, making thinking visible with dynamic visualisation, quick access to content resources via information and communication technologies, and flexible support by tele-tutoring. These principles are used in the MUNICS learning environment, which is designed to support students of computer science to apply their factual knowledge from the lectures to complex real-world problems. For example, students may model the knowledge management in an educational organisation with a graphical simulation tool. Some more general findings from a formative evaluation study with the MUNICS prototype are reported and discussed. For example, the students' ignorance of the additional content resources is discussed in the light of the well-known finding of insufficient use of help systems in software applications

    Using the Internet to improve university education: Problem-oriented web-based learning and the MUNICS environment

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    Up to this point, university education has largely remained unaffected by the developments of novel approaches to web-based learning. The paper presents a principled approach to the design of problem-oriented, web-based learning at the university level. The principles include providing authentic contexts with multimedia, supporting collaborative knowledge construction, making thinking visible with dynamic visualisation, quick access to content resources via Information and Communication Technologies (ICT), and flexible support by tele-tutoring. These principles are used in the Munich Net-based Learning In Computer Science (MUNICS) learning environment, which is designed to support students of computer science to apply their factual knowledge from the lectures to complex real-world problems. For example, students can model the knowledge management in an educational organisation with a graphical simulation tool. Some more general findings from a formative evaluation study with the MUNICS prototype are reported and discussed. E.g., the students' ignorance of the additional content resources is discussed in the light of the well-known finding of insufficient use of help systems in software applicationsBislang wurden neuere AnsĂ€tze zum web-basierten Lernen in nur geringem Maße zur Verbesserung des UniversitĂ€tsstudiums genutzt. Es werden theoretisch begrĂŒndete Prinzipien fĂŒr die Gestaltung problemorientierter, web-basierter Lernumgebungen an der UniversitĂ€t formuliert. Zu diesen Prinzipien gehören die Nutzung von Multimedia-Technologien fĂŒr die Realisierung authentischer Problemkontexte, die UnterstĂŒtzung der gemeinsamen Wissenskonstruktion, die dynamische Visualisierung, der schnelle Zugang zu weiterfĂŒhrenden Wissensressourcen mit Hilfe von Informations- und Kommunikationstechnologien sowie die flexible UnterstĂŒtzung durch Teletutoring. Diese Prinzipien wurden bei der Gestaltung der MUNICS Lernumgebung umgesetzt. MUNICS soll Studierende der Informatik bei der Wissensanwendung im Kontext komplexer praktischer Problemstellungen unterstĂŒtzen. So können die Studierenden u.a. das Wissensmanagement in einer Bildungsorganisation mit Hilfe eines graphischen Simulationswerkzeugs modellieren. Es werden Ergebnisse einer formativen Evaluationsstudie berichtet und diskutiert. Beispielsweise wird die in der Studie festgestellte Ignoranz der Studierenden gegenĂŒber den weiterfĂŒhrenden Wissensressourcen vor dem Hintergrund des hĂ€ufig berichteten Befunds der unzureichenden Nutzung von Hilfesystemen beleuchte

    The Social Context as a Determinant of Teacher Motivational Strategies in Physical Education

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    The purpose of the study was to provide an in-depth analysis of how Physical Education (PE) teachers perceive the social context to influence the motivational strategies that they use towards students. Semi-structured interviews of 22 PE teachers were examined using categorical content analysis. The teachers perceived that an emphasis on student assessment and the time constraints associated with PE lessons influenced their motivational strategies towards students; however, these strategies often conflicted with the teachers’ beliefs about the most appropriate motivational strategies. The teachers’ own performance evaluations and pressure to conform to other teachers’ methods also influenced the teachers’ motivational strategies, but these influences were often congruent with their teaching beliefs. Additionally, the teachers discussed how perceived cultural norms associated with the teacher-student relationship impacted upon their chosen motivational strategies. These cultural norms were reported by different teachers as either in line, or in conflict with their teaching beliefs. Finally, the influence of the teachers’ perceptions of their students helped produce strategies that were congruent with their beliefs, but often different to empirically suggested strategies. Consequently, it is important that teacher beliefs are targeted in education programs and that the teaching context aid in facilitating adaptive motivational strategies

    Effective Teaching and Learning: Using ICT

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    Mellar, H., Kambouri, M., Logan, K., Betts, S., Nance, B., Moriarty, V. (2007) Effective Teaching and Learning: Using ICT. London: NRDC. Available at: http://www.nrdc.org.uk/uploads/documents/doc_3347.pdfResearch report for NRDCFindings and recommendations on effective teaching practice - with the aim of providing material for improving the quality of teaching and learning and for informing developments in initial teacher education and continuing development. (http://www.nrdc.org.uk/uploads/documents/doc_3347.pdf

    What makes a good clinical student and teacher? An exploratory study

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    <b>Background</b> What makes a good clinical student is an area that has received little coverage in the literature and much of the available literature is based on essays and surveys. It is particularly relevant as recent curricular innovations have resulted in greater student autonomy. We also wished to look in depth at what makes a good clinical teacher. <p></p> <b>Methods</b> A qualitative approach using individual interviews with educational supervisors and focus groups with senior clinical students was used. Data was analysed using a “framework” technique. <p></p> <b>Results</b> Good clinical students were viewed as enthusiastic and motivated. They were considered to be proactive and were noted to be visible in the wards. They are confident, knowledgeable, able to prioritise information, flexible and competent in basic clinical skills by the time of graduation. They are fluent in medical terminology while retaining the ability to communicate effectively and are genuine when interacting with patients. They do not let exam pressure interfere with their performance during their attachments. <p></p> Good clinical teachers are effective role models. The importance of teachers’ non-cognitive characteristics such as inter-personal skills and relationship building was particularly emphasised. To be effective, teachers need to take into account individual differences among students, and the communicative nature of the learning process through which students learn and develop. Good teachers were noted to promote student participation in ward communities of practice. Other members of clinical communities of practice can be effective teachers, mentors and role models. <p></p> <b>Conclusions</b> Good clinical students are proactive in their learning; an important quality where students are expected to be active in managing their own learning. Good clinical students share similar characteristics with good clinical teachers. A teacher’s enthusiasm and non-cognitive abilities are as important as their cognitive abilities. Student learning in clinical settings is a collective responsibility. Our findings could be used in tutor training and for formative assessment of both clinical students and teachers. This may promote early recognition and intervention when problems arise
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