Using Augmented Reality as a Medium to Assist Teaching in Higher Education

In this paper we describe the use of a high-level augmented reality (AR) interface for the construction of collaborative educational applications that can be used in practice to enhance current teaching methods. A combination of multimedia information including spatial three-dimensional models, images, textual information, video, animations and sound, can be superimposed in a student-friendly manner into the learning environment. In several case studies different learning scenarios have been carefully designed based on human-computer interaction principles so that meaningful virtual information is presented in an interactive and compelling way. Collaboration between the participants is achieved through use of a tangible AR interface that uses marker cards as well as an immersive AR environment which is based on software user interfaces (UIs) and hardware devices. The interactive AR interface has been piloted in the classroom at two UK universities in departments of Informatics and Information Science

Reviews

Teaching and Learning Materials and the Internet by Ian Forsyth, London: Kogan Page, 1996. ISBN: 0–7494‐ 20596. 181 pages, paperback. £18.99

South Downs College: report from the Inspectorate (FEFC inspection report; 88/96 and 100/00)

The Further Education Funding Council has a legal duty to make sure further education in England is properly assessed. The FEFC’s inspectorate inspects and reports on each college of further education according to a four-year cycle. This record comprises the reports for periods 1995-96 and 1999-2000

Introduction of CAA into a mathematics course for technology students to address a change in curriculum requirements

The mathematical requirements for engineering, science and technology students has been debated for many years and concern has been expressed about the mathematical preparedness of students entering higher education. This paper considers a mathematics course that has been specifically designed to address some of these issues for technology education students. It briefly chronicles the changes that have taken place over its lifetime and evaluates the introduction of Computer Assisted Assessment (CAA) into a course already being delivered using Computer Aided Learning (CAL). Benefits of CAA can be categorised into four main areas. 1. Educational – achieved by setting short, topic related, assessments, each of which has to be passed, thereby increasing curriculum coverage. 2. Students – by allowing them to complete assessments at their own pace removing the stress of the final examination. 3. Financial – increased income to the institution, by broadening access to the course. Improved retention rate due to self-paced learning. 4. Time – staff no longer required to set and mark exams. Most students preferred this method of assessment to traditional exams, because it increased confidence and reduced stress levels. Self-paced working, however, resulted in a minority of students not completing the tests by the deadline

Cross-Linguistic Universals in Reading Acquisition with Applications to English-Language Learners with Reading Disabilities

There is a considerable gap in English reading achievement between English-language learners and native speakers in the United States. Differentiation of whether English language learners’ struggles are symptomatic of reading disability or related to second language acquisition is often challenging. These issues highlight the need for increased insight into reading development and disability in this population. The purpose of this article is to provide an overview of cross-linguistic universals in reading acquisition, how reading disabilities manifest in various languages, and whether diagnostic and instructional approaches that are effective for native English speakers are also appropriate for English-language learners. Recommendations for assessment and intervention practices for at-risk and reading-disabled English-language learners are provided

Expert System Technology and Concept Instruction: Training Educators to Accurately Classify Learning Disabled Students

Many learning disabled student being served by the public school systems have been inaccurately classified. Training and research efforts are needed to assist members of the multidisciplinary team in making more accurate learning disabilities classification decisions. CLASS.LD2, a computer-based expert system, was designed to assist multidisciplinary teams by providing second-opinion advice regarding the appropriateness of a learning disabilities classification for individual student cases. The existing expert system, CLASS.LD2, was combined with strategies for effective concept instruction to create an instructional package entitled LO.Trainer. The purpose of this study was (a) to develop a computer-based instructional package combining expert system technology and strategies for effective concept instruction and (b) to test the effectiveness of the instructional package against another system application. The training application against which the instructional package was compared consisted of users running consultations with the original expert system. Of specific interest was (a) the effectiveness of both training programs across experienced and inexperienced teachers, (b) the performance of the experienced as compared with the inexperienced teachers regardless of the training program used, (c) whether an interaction between level of experience and training program occurred, ( d) which training program was more effective for the experienced teachers, and (e) which training program was more effective for the inexperienced teachers. Ninety-seven students from three universities served as subjects and were randomly assigned to one of the two treatment groups. Subjects who completed the LO.Trainer materials scored statistically (p \u3c .05) and educationally higher (SMD = + 0.96) on the posttest than those who ran CLASS.LD2 consultations. Statistical and educational significance were al so obtained across the experienced and inexperienced subjects when considered alone. An interaction, although not statistically significant (p \u3c .05), was obtained between group and experience level. Although there exist many similarities between the processes of building expert systems and concept analysis, incorporating both to develop an effective training tool had not previously been demonstrated. Results of this study indicated that the two fields, successfully combined, can create an effective and efficient training tool