The future of technology enhanced active learning – a roadmap

The notion of active learning refers to the active involvement of learner in the learning process, capturing ideas of learning-by-doing and the fact that active participation and knowledge construction leads to deeper and more sustained learning. Interactivity, in particular learnercontent interaction, is a central aspect of technology-enhanced active learning. In this roadmap, the pedagogical background is discussed, the essential dimensions of technology-enhanced active learning systems are outlined and the factors that are expected to influence these systems currently and in the future are identified. A central aim is to address this promising field from a best practices perspective, clarifying central issues and formulating an agenda for future developments in the form of a roadmap

Strategic Planning for Web-based Learning and Teaching at Tampere University of Technology

In: A.J. Kallenberg and M.J.J.M. van de Ven (Eds), 2002, The New Educational Benefits of ICT in Higher Education: Proceedings. Rotterdam: Erasmus Plus BV, OECR ISBN 90-9016127-9The purpose of this paper is to discuss the action to support the development of web-based learning and teaching in higher education. A central question is how web-based learning and teaching should be incorporated into the strategic planning of the University

An exploration of student performance, utilization, and attitude to the use of a controlled content sequencing web based learning environment

Universities, traditionally places of teaching and research, have seen and are continuing to see radical changes occur in the area of teaching and the methods of teaching delivery. The World Wide Web, or ‘Web’ has begun to subsume the classroom as the preferred means by which students access their tertiary learning materials, and ultimately, how academic staff deliver those materials. The delivery of learning via the Web takes many forms and is generically, and usually inaccurately, referred to by such names as e-learning, online learning, web-based training and web based education, using such technologies as virtual learning environments, learning management systems and learning content management systems. This study focuses specifically on the delivery of electronic learning materials in the support of both inclass and online teaching

The use of electronic voting systems in lectures within business and marketing: a case study of their impact on student learning

This article presents a case study of the impact on student learning of introducing an electronic voting system (EVS) into large‐group lectures for first‐year undergraduate students undertaking degrees in marketing and business systems. We discuss the potential for using EVS‐style interactive lectures in marketing and business programmes. We then describe how we planned the session and selected and implemented the EVS system. We go on to present an evaluative research project, which was undertaken on the innovation using case‐study methodology, and assess its impact on student learning. Data for the evaluation were collected through questionnaire and focus groups with a sample of students. The data were analysed using thematic analysis. The findings show how students perceived the use of EVS in large lectures and how their learning was affected. A ‘three‐fold typology’ emerged that explains how students related to the EVS and how their perceptions of EVS changed over time. The discussion links these findings to the literature on different paradigms of learning and teaching, using Renshaw’s framework, and examines how the EVS‐style lectures promote deep and active learning within the constructivist, social constructivist and metacognitive learning paradigms identified in Renshaw’s model. The conclusions show how the use of a user‐friendly EVS in large lectures motivates students, develops students’ cognitive and social learning skills, and improves learning effectiveness

The Views of Science Pre-service Teachers about the Usage of Basic Information Technologies (BIT) in Education and Instruction

In this study aiming to present a description based on science pre-service teachers’ views related to use of Basic Information Technologies (BIT) in education and training, an interview is carried out with 21 pre-service science teachers who study in different classes in Faculty of Education, Niğde University. For this aim, improved interview form is used with literature review, the experts of researchers and the views of other experts related to the area. The data acquired with interview form including four sub-dimensions in the way “Computer Aided Education (CAE)”, “Hypermedia Use”, “Distance Education (DE)” and “Database Management”, are solved with content analysis method. As a result of research, it is determined that pre-service teachers generally have fund of knowledge also in body of literature in terms of educational and training dimension. The other works performed practically that will present use cases of BIT of pre-service science teachers in the process of education and training in the way to support this work indicating the current situation, are suggested

Quality of experience aware adaptive hypermedia system

The research reported in this thesis proposes, designs and tests a novel Quality of Experience Layer (QoE-layer) for the classic Adaptive Hypermedia Systems (AHS) architecture. Its goal is to improve the end-user perceived Quality of Service in different operational environments suitable for residential users. While the AHS’ main role of delivering personalised content is not altered, its functionality and performance is improved and thus the user satisfaction with the service provided. The QoE Layer takes into account multiple factors that affect Quality of Experience (QoE), such as Web components and network connection. It uses a novel Perceived Performance Model that takes into consideration a variety of performance metrics, in order to learn about the Web user operational environment characteristics, about changes in network connection and the consequences of these changes on the user’s quality of experience. This model also considers the user’s subjective opinion about his/her QoE, increasing its effectiveness and suggests strategies for tailoring Web content in order to improve QoE. The user related information is modelled using a stereotype-based technique that makes use of probability and distribution theory. The QoE-Layer has been assessed through both simulations and qualitative evaluation in the educational area (mainly distance learning), when users interact with the system in a low bit rate operational environment. The simulations have assessed “learning” and “adaptability” behaviour of the proposed layer in different and variable home connections when a learning task is performed. The correctness of Perceived Performance Model (PPM) suggestions, access time of the learning process and quantity of transmitted data were analysed. The results show that the QoE layer significantly improves the performance in terms of the access time of the learning process with a reduction in the quantity of data sent by using image compression and/or elimination. A visual quality assessment confirmed that this image quality reduction does not significantly affect the viewers’ perceived quality that was close to “good” perceptual level. For qualitative evaluation the QoE layer has been deployed on the open-source AHA! system. The goal of this evaluation was to compare the learning outcome, system usability and user satisfaction when AHA! and QoE-ware AHA systems were used. The assessment was performed in terms of learner achievement, learning performance and usability assessment. The results indicate that QoE-aware AHA system did not affect the learning outcome (the students have similar-learning achievements) but the learning performance was improved in terms of study time. Most significantly, QoE-aware AHA provides an important improvement in system usability as indicated by users’ opinion about their satisfaction related to QoE