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This paper introduces Ontoolsearch, a new search system that can be employed by educators in order to find suitable tools for supporting collaborative learning settings. Current tool search facilities commonly allow simple keyword searches, limiting the accuracy of obtained results. In contrast, Ontoolsearch supports semantic querying of tool knowledge bases annotated with the Ontoolcole ontology, specifically designed to fit educators’ questions. Moreover, Ontoolsearch offers an innovative direct manipulation interface to educators, intended to facilitate query formulation as well as the analysis of obtained results. To evaluate this proposal, a group of educators was engaged in a formal comparison study of Ontoolsearch with a keyword search facility based on Lucene. Six search tasks were proposed, each responding to the learning tool needs of a real CSCL setting. Participants had to find tools for these search tasks using both systems alternatively. Evaluation results showed that retrieval performance was significantly better with Ontoolsearch, despite educators’ previous experience with keyword searches. Further, educators rated very positively the user interface of Ontoolsearch and considered this system very useful to find tools for their own learning situations.
The objective of this paper is to which extend the didactic format of studio-based group-work is applicable for creating a common-ground for Interaction Design Education in European Perspective. The current debate on design education shows us a landscape of different initiatives. So far difficulties have arisen in the area of accreditation and validation of interaction design as an educational field. This in contrast to all the EU agreements and strategies. In this paper we will closely look at these difficulties from the perspective of the intensive EU-funded summer-course on Interaction Design with four participating institutes coming from four different EU countries. The course facilitated learning through the usage of the didactic format of studio-based group-work. This approach enabled blended learning and provided a commongroud for intercultural learning through design. A qualitative assessment conducted on the learning format by the 40 multi-cultural group of students and staff provided insightful guidelines into the appreciation and value of the format. The evaluation results showed that the studio-based group-work is an efficient method to overcome cultural differences in design methodology, teamwork and personal skills.
Abstract As it happens in other fields of engineering, blended learning is widely used to teach process control topics. In this paper, the inclusion of a reactive element – a Fuzzy Logic based controller – is proposed for a blended learning approach in an introductory control engineering course. This controller has been designed in order to regulate the workload for each student, according to his activity and performance. The proposed course is based on a web tool called ControlWeb, which includes a complete vision of control topics and is used intensively along the course. The results of the evaluation of the methodology attest its efficiency in terms of learning degree and performance of the students.
Abstract Promoting the inclusion of students with disabilities in e-learning systems has brought many challenges for researchers and educators. The use of synchronous communication tools such as interactive whiteboards has been regarded as an obstacle for inclusive education. In this paper, we present the proposal of an inclusive approach to provide blind students with the possibility to participate in live learning sessions with whiteboard software. The approach is based on the provision of accessible textual descriptions by a live mediator. With the accessible descriptions, students are able to navigate through the elements and explore the content of the class using screen readers. The method used for this study consisted of the implementation of a software prototype within a virtual learning environment and a case study with the participation of a blind student in a live distance class. The results from the case study have shown that this approach can be very effective, and may be a starting point to provide blind students with resources they had previously been deprived from. The proof of concept implemented has shown that many further possibilities may be explored to enhance the interaction of blind users with educational content in whiteboards, and further pedagogical approaches can be investigated from this proposal.
Although previous studies have identified various influences on course website effectiveness, the evaluation of the relative importance of these factors across different online learning experience groups has not been empirically determined. This study develops an evolution model that integrates triangular fuzzy numbers and analytic hierarchy process to develop a fuzzy evaluation model which prioritized the relative weights of course website quality factors. Firstly, this study conducts a review of the literature on course website quality to generate 16 sub-criteria along with four criteria used to measure course website quality. Secondly, a fuzzy AHP approach is adopted to determine the relative weights linking the above criteria between high and low online learning experience groups. The results indicated that there are some similarities and differences between high- and low-experience groups with regard to the evaluation of course website quality. The evaluation model and results can provide a valuable reference for system designers seeking to enhance course website effectiveness.
Abstract Rough set theory (RST) is an emerging technique used to deal with problems in data mining and knowledge acquisition. However, the RST approach has not been widely explored in the field of academic achievement. This investigation developed an improved RST (IMRST) model, which employs linear discriminant analysis to determine a reduct of RST, and analyzed the academic achievements of junior high school students in Taiwan. An interactive interface was created so that students could answer questions to predict their academic achievement and they could learn essential skills for improving their academic achievement. Empirical results showed that the IMRST model selects crucial information from data without predetermining factors and can provide accurate rates for inference rules. Hence, the developed IMRST model is a promising alternative for analyzing academic achievement data.
This study presents the findings from the first-year evaluation of the Round Rock Independent School District’s (ISD) Digital Learning Classroom project, an initiative focused on the improvement of English Language Learners’ (ELL) learning using interactive whiteboard (IWB) technology. An objective of the evaluation was to determine the extent IWB technology could foster performance parity in academic achievement between ELL and regular students, that is, reduce the student achievement gap between these two student groups in 3rd and 5th grade mathematics and reading. These grade levels and subjects were the primary focus of the project because students in grades 3 and 5 that do not pass the state’s standardized assessments in mathematics and reading cannot be promoted to the next grade level and therefore, these are “high stakes” tests for students. A second evaluation objective was to determine whether and the extent to which the Digital Learning Classroom could increase ELL students’ academic learning relative to that of ELL students in traditional classrooms (i.e., without IWBs). Using a quasi-experimental design, the results strongly indicate that IWBs can foster performance parity thereby closing the achievement gap between ELL and regular students while increasing ELL student achievement. Pedagogical implications for teachers of ELL students within the context of Digital Learning Classroom project implementation are presented, as well as recommendations for future study of the Digital Learning Classroom in ELL classroom settings.
In order to evaluate student learning achievement, several aspects should be considered, such as exercises, examinations, and observations. Traditionally, such an evaluation calculates a final score using a weighted average method after awarding numerical scores, and then determines a grade according to a set of established crisp criteria. However, this approach lacks the potential to reflect the individual characteristics of a class compared to others. Several researches have used fuzzy techniques to devise practical methods for evaluating student learning achievement to ascertain linguistic terms that are usually used by teachers to assess student learning achievement. However, these approaches are largely based on expert opinions and require complicated computational processes. In this paper, we present a new method for evaluating student learning achievement using an adaptive ordered weighted averaging operator and K-nearest-neighbor classification method. The proposed method simulates the evaluation behavior of teachers when performing a student achievement evaluation based on a norm-referenced evaluation by identifying situations involving the application of intelligence and provides a useful means to award a reasonable grade to students. Furthermore, the proposed method provides a feedback mechanism to update the norm dataset. Therefore, the repetitious use of the feedback mechanism will gradually strengthen the representativeness of the norm dataset.
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