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Ctel Module1 Domain 1 Fall07
Ctel Module1 Domain 1 Fall07
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most current fall 09 and spring 10 ppts
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Ctel Module1 Domain 1 Fall07
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most current fall 09 and spring 10 ppts
Ctel module3 jeff
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jheil65
language acquisition THEORIES
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AbeeraShaikh
Basic Language Learning Theory and it's application in the classroom.
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Language acquisition theory according to Noah Chomsky and B.F. Skinner
Chomsky’s and skinner’s theory of language acquisition
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Nur Khalidah
VISION A leading ASEAN University actively committed to the total development of people for a globally sustainable environment and humane society. MISSION To advance the frontier of knowledge through internationalization of education and equitable access to quality instruction, research, extension, and production for economic prosperity, moral integrity, social and cultural sensitivity, and environmental consciousness through equitable access to quality instruction, research, extension, and production. COLLEGE GOALS The College of Arts and Sciences shall service other colleges by offering general education courses that will enable future professionals to: • function effectively in society; • produce graduates with competencies in the natural, physical, social and behavioral sciences as well as in the Arts, imbued with humanistic and ethical values and with clear understanding of their Filipino heritage; • develop manpower to promote quality research, extension, and production activities for sustainable development and environment conservation; and • establish linkages with academic, government, and other agencies to uplift the quality of life in the region. PROGRAM INFORMATION Name of Program : Master of Arts in English CHED CMO Reference : CMO 44, series of 1997; CMO 07, series of 2015 BOR Approval : BOR Res No. _________ s. _________ PROGRAM OUTCOMES (Based on PQF Qualification Levels as per PQF-NCCC Resolution No. 2014-01 adopted on July 22, 2014) • mastery of a specialized field of study • development of original and critical thinking • demonstration of problem-solving skills that prepare the holder of the degree for advanced instruction and leadership positions in the areas of research, as well as the practice of profession COURSE INFORMATION Course Name Sociolinguistics Course Code EDL 231 Pre-requisite Subject Course Credit 3.0 Course Description This course involves the study of different sorts of language usage from a sociolinguistic perspective for an understanding of attitudes and ideologies about these varieties and some of the educational, political, and social repercussions of sociolinguistic facts. This reviews the theoretical underpinnings, principles and strategies that support the framework of sociology and linguistics aspects of teaching and learning English. Theories and terms in sociolinguistics are discussed and applied through analyzing authentic English texts, for example political speeches, newspaper articles and webpages. Course Learning Outcomes 1. clear and comprehensive review of the different factors influencing language use; 2. knowledge and awareness of the relationship between language and society ; 3. proficiency in analyzing texts focusing on language variation; and 4. a language research paper focusing on social dimensions of language use applying sociolinguistic approaches.
LING 203 COURSE OUTLINE.doc
LING 203 COURSE OUTLINE.doc
MelodinaSolis
Phonology is one of the important branches of linguistics. This study deals with the sound patterns and its meanings between different languages. Sound structure in individual languages is taught to have a more in-depth understanding of linguistics. See More: https://bit.ly/2YKMBhI
Basics of phonology - edukite
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EduKite
Ctel Review Mod3 June08
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10 Questionnaires in Second Language Research_ Construction, Administration, and Processing
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Computer Assisted Language Learning (CALL) has seen a rise in recent years of software applications that use Automatic Speech Recognition (ASR) to provide pronunciation feedback for language learners. ASR-CALL systems process large amounts of natural language data to provide immediate and individual feedback on the pronunciation accuracy of recorded learner utterances. In order for ASR-CALL systems to be implemented successfully and become effective tools for pronunciation training, understanding learner beliefs and perceptions about pronunciation and technology is key. While recent studies have investigated levels of learner satisfaction and engagement with ASR-CALL systems, little research has been done to date which investigates specific learner characteristics and beliefs which affect learner usage of ASR-CALL systems. Wall Street English (WSE) currently has over 180,000 learners in 28 countries, and provides adult learners with a bespoke, blended-learning programme where students complete self-study interactive multimedia lessons before attending teacher-led classes. WSE have built activities within the multimedia self-study component of the course that allow students to record phrases and receive word-level ASR-driven feedback on pronunciation accuracy. For the current study, all students enrolled in selected WSE centres in China, Vietnam, Saudi Arabia and Italy had the opportunity over a four week period to complete these CALL-ASR activities. Students were able to retry each phrase a number of times in order to improve their pronunciation, received ASR-driven feedback on each retry, and were provided with a model audio with which to compare their own recorded attempts. The data presented in this study is drawn from three sources: an analysis of the anonymised study data from the 2,867 students from the countries mentioned above; survey data from 485 of these students; and individual qualitative interviews with 58 of these students.
The effects of learner characteristics and beliefs on usage of ASR-CALL systems
The effects of learner characteristics and beliefs on usage of ASR-CALL systems
Bindi Clements
Situation Analysis is an analysis of factors in the context of a planned or present curriculum project that is made in order to assess their potential impact on the project. It is considered as a dimension of needs analysis, and can also be regarded as an aspect of evaluation." (Richards, 2001)
Situation analysis
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VISION A leading ASEAN University actively committed to the total development of people for a globally sustainable environment and humane society. MISSION To advance the frontier of knowledge through internationalization of education and equitable access to quality instruction, research, extension, and production for economic prosperity, moral integrity, social and cultural sensitivity, and environmental consciousness through equitable access to quality instruction, research, extension, and production. COLLEGE GOALS The College of Arts and Sciences shall service other colleges by offering general education courses that will enable future professionals to: • function effectively in society; • produce graduates with competencies in the natural, physical, social and behavioral sciences as well as in the Arts, imbued with humanistic and ethical values and with clear understanding of their Filipino heritage; • develop manpower to promote quality research, extension, and production activities for sustainable development and environment conservation; and • establish linkages with academic, government, and other agencies to uplift the quality of life in the region. PROGRAM INFORMATION Name of Program : Master of Arts in English CHED CMO Reference : CMO 44, series of 1997; CMO 07, series of 2015 BOR Approval : BOR Res No. _________ s. _________ PROGRAM OUTCOMES (Based on PQF Qualification Levels as per PQF-NCCC Resolution No. 2014-01 adopted on July 22, 2014) • mastery of a specialized field of study • development of original and critical thinking • demonstration of problem-solving skills that prepare the holder of the degree for advanced instruction and leadership positions in the areas of research, as well as the practice of profession COURSE INFORMATION Course Name Sociolinguistics Course Code EDL 231 Pre-requisite Subject Course Credit 3.0 Course Description This course involves the study of different sorts of language usage from a sociolinguistic perspective for an understanding of attitudes and ideologies about these varieties and some of the educational, political, and social repercussions of sociolinguistic facts. This reviews the theoretical underpinnings, principles and strategies that support the framework of sociology and linguistics aspects of teaching and learning English. Theories and terms in sociolinguistics are discussed and applied through analyzing authentic English texts, for example political speeches, newspaper articles and webpages. Course Learning Outcomes 1. clear and comprehensive review of the different factors influencing language use; 2. knowledge and awareness of the relationship between language and society ; 3. proficiency in analyzing texts focusing on language variation; and 4. a language research paper focusing on social dimensions of language use applying sociolinguistic approaches.
LING 203 COURSE OUTLINE.doc
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Phonology is one of the important branches of linguistics. This study deals with the sound patterns and its meanings between different languages. Sound structure in individual languages is taught to have a more in-depth understanding of linguistics. See More: https://bit.ly/2YKMBhI
Basics of phonology - edukite
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Computer Assisted Language Learning (CALL) has seen a rise in recent years of software applications that use Automatic Speech Recognition (ASR) to provide pronunciation feedback for language learners. ASR-CALL systems process large amounts of natural language data to provide immediate and individual feedback on the pronunciation accuracy of recorded learner utterances. In order for ASR-CALL systems to be implemented successfully and become effective tools for pronunciation training, understanding learner beliefs and perceptions about pronunciation and technology is key. While recent studies have investigated levels of learner satisfaction and engagement with ASR-CALL systems, little research has been done to date which investigates specific learner characteristics and beliefs which affect learner usage of ASR-CALL systems. Wall Street English (WSE) currently has over 180,000 learners in 28 countries, and provides adult learners with a bespoke, blended-learning programme where students complete self-study interactive multimedia lessons before attending teacher-led classes. WSE have built activities within the multimedia self-study component of the course that allow students to record phrases and receive word-level ASR-driven feedback on pronunciation accuracy. For the current study, all students enrolled in selected WSE centres in China, Vietnam, Saudi Arabia and Italy had the opportunity over a four week period to complete these CALL-ASR activities. Students were able to retry each phrase a number of times in order to improve their pronunciation, received ASR-driven feedback on each retry, and were provided with a model audio with which to compare their own recorded attempts. The data presented in this study is drawn from three sources: an analysis of the anonymised study data from the 2,867 students from the countries mentioned above; survey data from 485 of these students; and individual qualitative interviews with 58 of these students.
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Sara Mae O’Brien Scott and Tatiana Baquero Cakici, Senior Consultants at Enterprise Knowledge (EK), presented “AI Fast Track to Search-Focused AI Solutions” at the Information Architecture Conference (IAC24) that took place on April 11, 2024 in Seattle, WA. In their presentation, O’Brien-Scott and Cakici focused on what Enterprise AI is, why it is important, and what it takes to empower organizations to get started on a search-based AI journey and stay on track. The presentation explored the complexities of enterprise search challenges and how IA principles can be leveraged to provide AI solutions through the use of a semantic layer. O’Brien-Scott and Cakici showcased a case study where a taxonomy, an ontology, and a knowledge graph were used to structure content at a healthcare workforce solutions organization, providing personalized content recommendations and increasing content findability. In this session, participants gained insights about the following: Most common types of AI categories and use cases; Recommended steps to design and implement taxonomies and ontologies, ensuring they evolve effectively and support the organization’s search objectives; Taxonomy and ontology design considerations and best practices; Real-world AI applications that illustrated the value of taxonomies, ontologies, and knowledge graphs; and Tools, roles, and skills to design and implement AI-powered search solutions.
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As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape
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TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
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Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization’s performance. The power of real-time data automation through FME can turn this vision into reality. Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We’ll explore: FME’s role in real-time event processing, from data intake and analysis to transformation and reporting An overview of leveraging streams vs. automations FME’s impact across various industries highlighted by real-life case studies Live demonstrations on setting up FME workflows for real-time data Practical advice on getting started, best practices, and tips for effective implementation Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.
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Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
The Digital Insurer
The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.
Artificial Intelligence: Facts and Myths
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