6,673 research outputs found

    SPRING: speech and pronunciation improvement through games, for Hispanic children

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    Lack of proper English pronunciations is a major problem for immigrant population in developed countries like U.S. This poses various problems, including a barrier to entry into mainstream society. This paper presents a research study that explores the use of speech technologies merged with activity-based and arcade-based games to do pronunciation feedback for Hispanic children within the U.S. A 3-month long study with immigrant population in California was used to investigate and analyze the effectiveness of computer aided pronunciation feedback through games. In addition to quantitative findings that point to statistically significant gains in pronunciation quality, the paper also explores qualitative findings, interaction patterns and challenges faced by the researchers in dealing with this community. It also describes the issues involved in dealing with pronunciation as a competency.Comment: ACM ICTD 201

    Graduates of Character - Values and Character: Higher Education and Graduate Employment

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    Graduates of Character is the product of an empirical enquiry into the values, virtues, dispositions and attitudes of a sample of students and employees who volunteered to be involved. The research team sought host sites which would offer a diverse set of interviewees in gender, ethnicity, religion and aspiration. In this study we discuss what character is taken to mean by students and employees in their years of higher education and employment. We examine what their values are, what they gain from the university, what they believe employers look for when recruiting, what they hope to give to an employer, and what they expect from their employer. We then explore who or what influenced their values and moral development. We also examined the role of the personal tutor or mentor, and the persons or services to which they might go for personal and/or professional support

    Implementation of Migrant Education Program in the Richgrove School District

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    Justification of the problem. A significant percentage of the children attending school in the Richgrove School District are identified as migrant students. Migratory children often were two or more grades below grade level in reading, spoke little or no English, tended to withdraw from the school environment, had poor self-concepts, lacked nutritionally balanced meals, and had few, if any, previous health records. The present study is an outgrowth of the Richgrove School District\u27s effort to develop and provide an educational program designed to meet the needs of migratory children residing within its attendance boundaries. The problem. The problem was to examine student achievement in pull-out instruction classes in reading and in English as a second language, student self-image improvement, food and health services, and 2 community involvement for migrants. Delimits of the study. The study was limited to those aspects of the Richgrove School District\u27s migrant education program during the 1970-71 school year. Hypothesis. It was the hypothesis of this study that migrant education programs can be designed to improve student achievement in reading and English as a second language classes, improve the self image of the student and improve food and health services for migrant children. Method of procedure. The procedure followed in this study was to describe the development, implementation, and observed results of the Richgrove School District\u27s 1970-71 migrant education program. The effectiveness of the migrant education program was determined by student achievement, teacher and student ratings, observed results, records of food and health services provided, and an evaluation of nutritional and health services by a medical doctor. Findings. Migrant pupils in the Language Comprehension Improvement classes who were enrolled for pre-test and post-test evaluations of reading achievement gains in grades two through eight, as measured by the California Achievement Test, averaged more than one month\u27s gain for each month in class . The English as a Second Language pre-class and post-class ratings revealed that children in the English as a Second Language classes learned to speak English at an accelerated rate. Teacher and student opinion indicated that children in the E.S.L. classes learned to speak English more quickly and took part in classroom activities sooner than previous migrant children who did not have the benefit of supplemental instruction. The food and nutritional services provided 11,612 free lunches to migrant students. Migrant families had the option of purchasing reduced priced lunches for their children at a cost of 10 cents per meal. The findings indicated that the food services were available for all migrant children. The findings revealed that health services were improved for migrant children. Fluoride brush-in treatment was provided for 96 migrant children. In addition, 85 dental examinations and treatments were conducted as well as complete physical examinations for 76 migrant children. Migrant families were assisted by the school district in obtaining glasses, shoes, and clothing for their children. Observations, student ratings, and teacher opinions indicated that migrant pupils experienced opportunities that aided the improvement of self-image and that migrant children seemed to develop a better self-concept. The related services which included cross-age tutors, recreational programs, learning experience field trips, summer school, and migrant parent involvement were deemed by the findings to have a positive influence on the school experiences offered migratory children. Implications . The project findings revealed that migrant education programs can be designed to increase achievement in reading and English as a second language, offer opportunities to improve self image, and offer increased nutritional and health services for migrant children. The findings of this study may be used to help improve educational services provided migratory children by other school districts or states

    Automatic Assessment of Oral Reading Accuracy for Reading Diagnostics

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    Automatic assessment of reading fluency using automatic speech recognition (ASR) holds great potential for early detection of reading difficulties and subsequent timely intervention. Precise assessment tools are required, especially for languages other than English. In this study, we evaluate six state-of-the-art ASR-based systems for automatically assessing Dutch oral reading accuracy using Kaldi and Whisper. Results show our most successful system reached substantial agreement with human evaluations (MCC = .63). The same system reached the highest correlation between forced decoding confidence scores and word correctness (r = .45). This system's language model (LM) consisted of manual orthographic transcriptions and reading prompts of the test data, which shows that including reading errors in the LM improves assessment performance. We discuss the implications for developing automatic assessment systems and identify possible avenues of future research

    What Predicts Student Comprehension in Language Learning? Augmenting Student Action with Elapsed Time in an Educational Data Mining Approach

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    abstract: Reading comprehension is a critical aspect of life in America, but many English language learners struggle with this skill. Enhanced Moved by Reading to Accelerate Comprehension in English (EMBRACE) is a tablet-based interactive learning environment is designed to improve reading comprehension. During use of EMBRACE, all interactions with the system are logged, including correct and incorrect behaviors and help requests. These interactions could potentially be used to predict the child’s reading comprehension, providing an online measure of understanding. In addition, time-related features have been used for predicting learning by educational data mining models in mathematics and science, and may be relevant in this context. This project investigated the predictive value of data mining models based on user actions for reading comprehension, with and without timing information. Contradictory results of the investigation were obtained. The KNN and SVM models indicated that elapsed time is an important feature, but the linear regression models indicated that elapsed time is not an important feature. Finally, a new statistical test was performed on the KNN algorithm which indicated that the feature selection process may have caused overfitting, where features were chosen due coincidental alignment with the participants’ performance. These results provide important insights which will aid in the development of a reading comprehension predictor that improves the EMBRACE system’s ability to better serve ELLs.Dissertation/ThesisMasters Thesis Computer Science 201

    Doing pedagogical research in engineering

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