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Philip G Barker Harry Yeates 《British journal of educational technology : journal of the Council for Educational Technology》1981,12(2):158-175
Education is intimately associated with communication, and so may utilize any technology that is able to support a process that enables information to be transferred from one location to another. This paper describes the meaning of the term multi-media data base and presents a model of its potential role in aiding message creation for the purposes of communicating educational material using many parallel channels. Some of the problems associated with the implementation of such systems are outlined. 相似文献
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A large urban school district contracted with a private nonprofit educational foundation to train 126 special education resource
teachers in the last three years in an Orton-Gillingham-based program. These teachers are currently teaching learning-disabled
students in groups of 8–10 at the elementary level and 10–13 students at the secondary level. Learning-disabled students who
qualify for Special Education, either in reading or spelling, or both, are receiving the instruction.
The teachers took a Basic Introductory Class (90 hours of Advanced Academic Credit offered by the Texas Education Agency,
or six hours of graduate credit at a local university) in order to teach the program in the resource setting. A two year Advanced
Training included annual on-site observations, two half-day workshops each fall and spring, and a two-day advanced workshop
in the second summer.
First grade teachers, one selected from each of the 164 campuses, supervisors, and principals attended a 25-hour course on
“Recognizing Dyslexia: Using Multisensory Teaching and Discovery Techniques.” The first grade teachers and special education
resource teachers collaborated to provide inservice training for their colleagues.
Research, conducted by the district’s Research Department, reveals statistically significant gains in reading and spelling
ability for the learning-disabled resource students as measured by the Woodcock Reading Mastery Test-Revised, and the Test
of Written Spelling. 相似文献
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Sajjad Rahmani Dabbagh Fazle Rabbi Zafer Doan Ali Kemal Yetisen Savas Tasoglu 《Biomicrofluidics》2020,14(6)
High-throughput, cost-effective, and portable devices can enhance the performance of point-of-care tests. Such devices are able to acquire images from samples at a high rate in combination with microfluidic chips in point-of-care applications. However, interpreting and analyzing the large amount of acquired data is not only a labor-intensive and time-consuming process, but also prone to the bias of the user and low accuracy. Integrating machine learning (ML) with the image acquisition capability of smartphones as well as increasing computing power could address the need for high-throughput, accurate, and automatized detection, data processing, and quantification of results. Here, ML-supported diagnostic technologies are presented. These technologies include quantification of colorimetric tests, classification of biological samples (cells and sperms), soft sensors, assay type detection, and recognition of the fluid properties. Challenges regarding the implementation of ML methods, including the required number of data points, image acquisition prerequisites, and execution of data-limited experiments are also discussed. 相似文献