Exploring the use of the ICT in supporting dyslexic students’ preferred learning styles : A preliminary evaluation

Dyslexia is one of the most common learning disabilities. It is described as a disorder manifested by difficulty in learning to read despite conventional instruction, adequate intelligence, and sociocultural opportunity. It affects relatively about 7–10 % of the population across most languages and cultures. In this study, we explore the potential benefits offered by the use of Information and Communication Technology (ICT) to support dyslexic students by considering their preferred learning styles. In the current paper we administered the VAK and Honey & Mumford questionnaires to 28 Arabic students with ages between 8 and 10 years old. 8 students from dyslexic group and 20 students from control group were selected to assess and compare their preferred learning style. The implemented system focuses on dyslexia in Arabic language, especially in Arabic countries such as Morocco. Based on the results of the analysis of learning styles differences, we introduced an adaptive mobile learning to support and promote learning for dyslexic students. The aim of the study is to consider the relationship between dyslexia and learning style and to suggest a different learning way. Preliminary results show that the ICT has a valuable role in providing opportunities for learners with dyslexia to participate more fully in education.     

Perspectives of University Students and Faculty on remote education experiences during COVID-19- a qualitative study

Education and Information Technologies - Owing to COVID-19 the Ministry of Education in the United Arab Emirates mandated educational institutions to shift to remote learning. In this study the...     

Game-based learning platform to enhance cybersecurity education

Education and Information Technologies - Computer security competitions have been playing a significant role in encouraging students to get into cybersecurity, as well as enhancing the...     

The impetus for organisational change: An exploration

Abstract

This paper examines the factors that cause universities to undertake academic change, specifically, changes to achieve more effective teaching and learning. Based on an analysis of 30 reform‐oriented US colleges and universities, it suggests that universities respond to diverse environmental pressures, not solely to external mandates. There is evidence, too, that internal forces within universities can be an impetus for change.     

Urban transportation network analysis from a thermodynamic perspective

The paper explores the application of thermodynamic formalism to model and control transportation networks. Specifically, by considering the vehicles as the abstract energy supplied to the system, we show in certain circumstances that certain thermodynamic concepts such as temperature, thermal capacity and thermal equilibrium can have the corresponding notions in transportation context. In addition, despite the lack of a natural principle in transportation context that corresponds to the second law of thermodynamic as we will show, the most important thermodynamic notion, which is the entropy, can be also defined in order to measure the disorder of transportation systems. It is then shown that the state when all lanes have the same occupancy corresponds to the thermal equilibrium arising in isolated thermodynamic system. This equilibrium occupancy leads to a minimum entropy corresponding to a minimal disorder. Besides, by taking the transportation entropy as the storage function, a robust dissipativity based control strategy is presented to reduce the disorder and render the system better organized. Finally, an example is worked out to illustrate the results.     

Decay of softwood in archaeological wooden artifacts

Hardwoods and softwoods were used side by side throughout Egyptian history, and importing softwoods that had an attractive color and texture was common. Over the decades, artifacts based on hardwoods and softwoods underwent deterioration phenomena, sometimes reaching either a level of brittleness or turning into a wood powder that may easily crumble. These levels of decay/degradation are often difficult to handle in terms of conservation treatments. To study or identify the reasons for decay has always been a point of interest for conservation purposes, but to assess decay and choose an appropriate treatment according to the state of preservation for the sake of keeping an artifact intact has become a subject of major importance. It is difficult at times to understand the deterioration process, because hardwoods and softwoods are different in structure, properties, and chemical composition. For this preliminary study, decayed samples from three commonly used softwood types, cypress (Cupressus sp.), cedar (Cedrus sp.), and pine (Pinus sp.), were identified and chosen. Scanning electron microscopy (SEM) of the samples indicated the degree of decay. Decayed and non-aged samples of the same wood type were analyzed using Fourier transform infrared spectroscopy (FTIR), and all the major carbohydrate and lignin bands were recorded. The strong hydrogen bonded (O–H) stretching absorption associated with water linked by hydrogen bonds to the –OH groups of cellulose and hemicelluloses in all decayed samples increased with decay. The brown powdery, fragile samples that had been evidently affected by microbial decay had a higher amount of lignin. The lignin/carbohydrate ratio was calculated and results compared. The increase of either lignin percentage or extractives in some of the samples had caused a darkening of color in both cypress and cedar samples, but the pine sample did not have the same texture and appearance. In cases where the lignin percentage decreased the samples had changed to a slightly lighter color. FTIR results explained the decay phenomena observed in SEM micrographs and helped assess wood decay and also confirmed results that had been previously obtained while applying traditional chemical analysis on wood.     

Fish Oil Supplementation in Pregnancy and Neurodevelopment in Childhood—A Randomized Clinical Trial

A double-blind randomized controlled trial of n-3 long-chain polyunsaturated fatty acid (n-3 LCPUFA) supplementation or matching placebo during third trimester of pregnancy was conducted within the COPSAC₂₀₁₀ mother-child cohort consisting of 736 women and their children. The objective was to determine if maternal n-3 LCPUFA pregnancy supplementation affects offspring neurodevelopment until 6 years. Neurodevelopment was evaluated in 654 children assessing age of motor milestone achievement, language development, cognitive development, general neurodevelopment, and emotional and behavioral problems. Maternal n-3 LCPUFA supplementation during pregnancy improved early language development and reduced the impact of emotional and behavioral problems. The n-3 LCPUFA supplementation was in boys associated with the earlier achievement of gross motor milestones, improved cognitive development, and a reduced impact of emotional and behavioral problems.     

Institutional repository software platforms at undergraduate libraries in the United States

For primarily undergraduate institutions, institutional repositories can become effective tools for communicating and showcasing faculty and student research, facilitating open access initiatives, or supporting new scholarly communication practices. Choosing the right software platform is crucial to the success of a repository initiative. The literature suggests that there are only two or three software platforms heavily used in undergraduate libraries. This article aims to give a landscape of the repository platforms used in sixty-seven undergraduate libraries in the United States in late 2013; it also includes the results of a short survey about current institutional repository software platforms and users/administrators’ satisfaction.     

Predicting item difficulty of science national curriculum tests: the case of key stage 2 assessments

Predicting item difficulty is highly important in education for both teachers and item writers. Despite identifying a large number of explanatory variables, predicting item difficulty remains a challenge in educational assessment with empirical attempts rarely exceeding 25% of variance explained.

This paper analyses 216 science items of key stage 2 tests which are national sampling assessments administered to 11 year olds in England. Potential predictors (topic, subtopic, concept, question type, nature of stimulus, depth of knowledge and linguistic variables) were considered in the analysis. Coding frameworks employed in similar studies were adapted and employed by two coders to independently rate items. Linguistic demands were gauged using a computational linguistic facility. The stepwise regression models predicted 23% of the variance with extended constructed questions and photos being the main predictors of item difficulty.

While a substantial part of unexplained variance could be attributed to the unpredictable interaction of variables, we argue that progress in this area requires improvement in the theories and the methods employed. Future research needs to be centred on improving coding frameworks as well as developing systematic training protocols for coders. These technical advances would pave the way to improved task design and reduced development costs of assessments.     

Middle School Students’ Mechanistic Explanation About Trait Expression in Rice Plants During a Technology-Enhanced Science Inquiry Investigation

Journal of Science Education and Technology - We examined the sophistication of middle school students’ mechanistic explanations of genetics phenomena and how they interact with a...