What can assist students in improving their listening skills by exposing them to a variety of accents and speech patterns?

Listening to podcasts from different regions

Materials for Enhancing Listening and Speaking Skills

USAGE/APPLICATION OF MULTIMEDIA RESOURCES Here’s how multimedia is used across different fields: • Creative industries – Multimedia allows creative professionals to express themselves in innovative ways and reach wider audiences through engaging and immersive content. Examples: graphic design, filmmaking, interactive storytelling, talk shows, podcast • Commercial uses – Multimedia helps business reach their target audience more effectively, build brand awareness, and drive sales. Examples: online advertising, product demonstrations, corporate presentation • Entertainment and fine arts – Multimedia pushes the boundaries of creative expression, allowing artists to explore new forms of art and reach broader audiences. Examples: video games, virtual reality art, musical performances • Educational technology – Multimedia helps educators create dynamic and engaging learning environments, making it easier for students to understand and retain information. Examples: online courses, educational games, virtual field trips • Social work – Multimedia empowers social workers to reach wider audiences, connect with clients more effectively, and advocate for social change. Examples: social media advocacy, client communication, training materials • Language communication – Multimedia makes language learning more engaging and accessible, helping people communicate effectively across language barriers and cultural differences. Examples: language learning apps, interactive language games, multilingual content creation • Journalism – Multimedia journalism allows journalists to present information in a more engaging and informative way, enhancing the storytelling experience and reaching wider audiences. Examples: interactive news article, video journalism, virtual reality journalism In conclusion, multimedia has become an integral part of various industries, enabling, creative expression, effective communication, and engaging experiences for audience worldwide.

Revolutionising Education: Unleash AI to Spark Joy in the Classroom. What is Artificial Intelligence (AI)? • Definition: AI involves creating computer systems that can perform tasks typically requiring human intelligence. These include learning, reasoning, problem-solving, perception, and language understanding. • Examples in Everyday Life: From personal assistants like Siri and Alexa to more complex applications like predictive analytics in healthcare and autonomous driving. Two Types Artificial Intelligence (AI) • Generative AI: refers to a type of artificial intelligence technology that can generate new content, such as text, images, music, and videos. It leverages advanced algorithms to understand and replicate patterns from existing data, allowing it to create original outputs that mimic human-like creativity. Examples include models that can write like a human, generate realistic images from textual descriptions, or compose music. • Large Language Models: are a subset of Generative AI specifically designed to understand and generate human language. These models are trained on vast amounts of text data, which enable them to perform a variety of language-based tasks such as translation, summarization, answering questions, and even engaging in conversation. Notable examples include OpenAI's ChatGPT, Google Bard, and Microsoft Bing. AI in Education? • Enhancing Learning: AI can personalise learning based on individual student needs by adapting materials and pacing. • Automating Tasks: AI can automate administrative tasks like lesson planning and scheduling, allowing educators more time to focus on teaching and building relationships. Ethical Considerations? • Privacy and Security: Ensuring student data is protected and not misused. • Bias and Fairness: Developing AI systems that provide equal opportunities for all students and do not inherit or amplify biases. • Transparency and Accountability: Making AI decisions in education understandable and subject to checks and balances. Our Top 10 AI For Educators • Classroom conductor – ChatGPT - A versatile AI that assists teachers with emails, lesson plans, generating quiz questions, and example student pieces. • Digital Design Dynamo – Canva - With its AI Magic Media app, Canva helps create engaging visuals and videos, making digital design accessible. • Maetstro of Music – Suno - Instantly generates songs on any lesson topic or converts your lyrics into music, enhancing learning with tunes. • Teacher’s AI Ally – School AI - Focused on educator needs, it features tools for creating interactive exit tickets and engaging chat bots. • Differentiator – Diffit - Transforms PDFs and YouTube videos into differentiated worksheets and activities across languages and reading levels. • Quiz Master – Quizalize - Turns any content into quizzes or games, engaging students with interactive challenges based on lesson material. • Presentation Pro – Gamma - Helps create stunning presentations quickly, ideal for classroom use or professional meetings. • Interactive Lesson Launcher – Cruipod - Quickly generates interactive presentations for classroom use, integrating activities seamlessly into lessons. • Note-Taking Ninja – LLava - Produces study notes and quiz questions from any photo or image, simplifying study material generation. • Creative Story Spinner – StroyWizard - Enables teachers to create custom stories incorporating elements from their own classrooms, linking imagination with academic achievement.

The LMS has been an essential tool in curriculum design and development and in organizing factors that motivate student learning, especially in online distance learning. However, an LMS can be used in blended, hybrid, and in-class delivery modes. It is a software application designed to help in the administration of courses for both students and instructors. Such systems have been designed for use in learning and teaching activities (Chung et al., 2012). They also provide a variety of interaction methods between instructors and learners to facilitate the learning process better, You must remember well-designed LMS could also help improve student skills, such as effective online learning and self-direction (Norouzi, 2014). Students could use the system to enhance performance (perceived usefulness), and they could use such systems with little effort (perceived ease of use) (Venkatesh & Davis, 2000). A majority of higher education institutions have incorporated LMS systems; they have been used in university systems by schools, faculty members, and instructors (Klobas & McGill,. 2010), Because so much of higher education has been focused on course delivery Chapter3 INSTRUCTIONAL DELIVERY SYSTEMS AND EDUCATIONAL TECHNOLOGY i 71 in a physical classroom, the implementation of an LYS has a;ded institutons in transitioning to new online universe of curriculum de!ivery (Georgou!i, & Guerre. 2NS). Repositories, central databases, and online meeting 'oations are all characteristcs of a management system. As a concept, a 'earning management system is a broad idea and an example of technology's inabifity to be specific in terms of a definition. Several requirements a generat overview of what constitutes a leaming management system, such as those listed above Finally, end-user access is also a part of a learning management system with various levels being set up by security. For example, students have read-onty access, faculty members have read and write access, and technical staff has complete access for support and administrative duties (Graf & Chien, 2009). At its core, a learning management system contains internal or Web-based support and management for numerous aspects of learning and teaching (Hiary & Abu-Shawar, 2009). This allows access from numerous locales, usually on a 24-hour basis. When looking at a university or college, this concept begins to grow greatly depending on the organization's size and scope; department, and degree program. Leaming management systems also go by other names such as course management systems, and their use goes beyond higher education institutions to include businesses and individual instructors. Meis)ar-Tal, Kurtz, and Pieterse (2012) mentioned three primary purposes of an CMS. They include the following: 1. to provide students with digital learning materials; 2. to employ interactive learning activities with students in the forums; and 3. to manage the course and the learners. Faculty members who use an LMS to make available lecture notes and other classroom resources for their face-to-face class create a web-enhanced classroom experience. Regardless of its usage, requirements for classification as a learning management system include several key concepts like the availability of assets over networks, providing hosting, administration. and support. With the requirements set, utilization becomes the focal point. A fully utilized learning management system looks at use at the student level, faculty level, and administration level. proper utilization of learning management systems should mirror traditional higher education goals, enhancing students' experiences. For learninä management systems, this creates a central hub for a class activity. For some classes, all activities work in the learning management system, while others only use its resources for select activities.

New Trends in Agriculture Extension approaches Extension has been, and still is, under attack from a wide spectrum of politicians and economists over its cost and financing. As a result, Extension Systems have had to make changes, by restating the system’s mission, developing a new vision for the future, and formulating plans for the necessary transition to achieve the desired change. 1. Privatization of Agricultural Extension Service Privatization: Process of funding and delivering the extension services by private individual or organization is called Private Extension. Concept: Privatization of extension refers to services rendered in rural area & allied aspects of extension personnel working in private agencies or organization for which farmers are expected to pay a fee & it can be viewed as supplementary or alternative to public extension services (Sarvanan & Shivalinge 1980). Privatization approaches ➢ Share cropping system ➢ Village extension contract system ➢ Public extension through private delivery ➢ Service for vouchers Strengths of Private Extension System ➢ More demand - driven rather than supply – driven ➢ High quality of services in terms of satisfying information needs of clientele, trained manpower, sustained finances and resource allocation ➢ Provides for an information mix and choices available to farmers ➢ Enhanced efficiency of staff ➢ Assure continuous supply and quality agricultural products ➢ More effective because farmer can select an adviser who is the best able to help ➢ Healthy competition among service provider will lead to better quality and lower costs for service Weakness of Private Extension System ➢ Concentrate on area having favorable physical environment ➢ More face-to-face contacts (person oriented) ➢ Increased dependence of farmers and hence exploitation ➢ No education role ➢ Deprivation of small farmers ➢ Hamper the free flow of information 2. Cyber Extension or e-extension Concepts Cyber space: it is the imaginary or virtual space of computers connected with each other on Networks, across the Globe. Cyber extension: it means 'using the power of online networks, computer communications and digital interactive multimedia to facilitate dissemination of agriculture technology. Cyber Extension thus can be defined as the extension over cyber space. Important tools of cyber extension E-Mail, Telnet, File Transfer Protocol (FTP), Gopher, Archie and World Wide Web (WWW) Strengths of Cyber Extension ➢ Access to the astounding information and continuously available ➢ Information rich and instantaneously available of information ➢ Interactive communication ➢ The information is available from any point on the globe ➢ Communication is dynamic ➢ Cut steps from traditional process ➢ Save money, time and effort ➢ Multiplicity of purpose Issues and Concerns of Cyber Extension ➢ Lack of Reliable Telecom Infrastructure in Rural Areas ➢ Erratic or no Power Supply ➢ Lack of ICT Trained manpower (willing to serve) in Rural Areas ➢ Lack of content (locally relevant and in local languages) ➢ Lack of Information Services to Rural Clientele ➢ Low Purchasing power of the Rural communities ➢ Lack of Holistic Approaches ➢ Issues of Sustainability Application of cyber extension ➢ Village information shops Dr. M.S. SwaminathanResearch Foundation, Chennai ➢ Information villagers MANAGE in Ranga Reddy District in Andhra pradesh ➢ Gyandoot net initiative of District Dhar, Madhya Pradesh. ➢ Warna wired village of National Informatics Center (NIC) in Kolhapur- Sangli Districts of Maharashtra 3. Market-Led-Extension (MLE) Concepts Market: A congregation of prospective buyers & sellers with a common motive of trading a particular commodity. Extension: It is the spreading/reaching out to the mass Market-led-extension: Agriculture & economics coupled with extension is the perfect blend for reaching at the door steps of common man with the help of technology. Dimensions of market-led extension ➢ Marketing mix: A planned mix of the controllable elements of a product's marketing plan commonly termed as 4Ps: product, price, place, and promotion. These four elements are adjusted until the right combination is found that serves the needs of the product's customers, while generating optimum income. ➢ Marketing plan: A marketing plan is a comprehensive document that outlines a business and marketing efforts for the coming year. It describes business activities involved in accomplishing specific marketing objectives within a set time frame. A marketing plan also includes a description of the current marketing position of a business, a discussion of the target market and a description of the marketing mix that a business will use to achieve their marketing goals. ➢ Market Intelligence: It is the information relevant to a company’s markets, gathered and analyzed specifically for the purpose of accurate and confident decision making. Market intelligence includes the process of gathering data from the company’s external environment, whereas the business intelligence process is primarily based on internal recorded events – such as sales, shipments and purchases. ➢ Market oriented production ➢ Use of Technology Strengths of market-led extension ➢ SWOT analysis of the market ➢ Organization of Farmers’ Interest Groups (FIGs) ➢ Enhancing the interactive and communication skills of the farmers ➢ Establishing marketing and agro-processing linkages ➢ Advice on product planning ➢ Educating the farming community ➢ Direct marketing ➢ Acquiring complete market intelligence ➢ Publication of agricultural market information Production of video films of success stories ➢ Challenges to market-led extension ➢ Gigantic size of extension system ➢ Information technology Diverse conditions ➢ Market intelligence ➢ Reforms in agricultural extension system Government Initiatives ➢ Central warehousing Corporation-1965 ➢ MSP by Commission for Agricultural Cost and Price (CACP) ➢ Food Corporation of India ➢ Then some others as: Cotton Corporation of India (CCI), Jute Corporation of India (JCI), National Dairy Development Board (NDDB), Agriculture and Processed food Export Development Authority (APEDA) etc. 4. Farmer--Led-Extension (FLE) Farmer--led-extension is defined as 'the provision of training by farmers to farmers, often through the creation of a structure of farmer promoters and farmer trainers' (Scarborough et al., 1997). Philosophy and principles ➢ Farmers and local institutions (e.g. producer organizations or village leaders) should play a key role in selecting farmer-trainers and monitoring and evaluating them. This helps make the programmes more accountable to the community or groups that they serve. ➢ Farmer-trainers are ‘of the community’; they communicate in local languages and are more sensitive to local cultures, mannerisms, farming practices, and farmers’ needs. ➢ Farmer-trainers should be selected on the basis of their skills and interest in sharing information, not just on their farming expertise. ➢ Farmer-trainers need strong linkages with and support from development agents (whether government, non-government organization (NGO), or private), the people who train and backstop them. Farmer-trainers generally serve as a complement to existing extension systems, rather than being a substitute for them. ➢ Facilitating organizations and local institutions need to be proactive in ensuring that women as well as men become farmer-trainers. ➢ Simple and appropriate reference materials should be made available to the farmer trainers. Essential Elements of Farmer--led-extension ➢ The group ➢ The Field ➢ The Facilitator ➢ The curriculum ➢ Programme leader ➢ Financing Special features of Farmer--led-extension ➢ All learning is field based & it is primary venue for learning ➢ FLE group learning constantly over the experimentation period ➢ FLE promotes healthy decisions & quality decisions ➢ Farmers conduct their own field studies with comparisons or treatments ➢ Facilitates Farmer-to-Farmer communication ➢ Field staff serve as facilitators ➢ FLE is a unique way to educate farmers ➢ It is an effective platform for sharing of experiences and collectively solving agriculture related problems. 5. Expert system Expert system is an intelligent computer program that uses knowledge and inferences procedures to solve problems (Daniel Hunt, 1986). Objectives of developing expert system ➢ To enhance the performance of agricultural extension personnel and farmer ➢ To make farming more efficient and profitable ➢ To reduce the time required in solving the problems ➢ To maintain the expert system by continuously upgrading the database Advantages of expert system ➢ Solves critical problems by making logical deductions without taking much time ➢ It combines experimental and conventional knowledge with the reasoning skills of specialists ➢ To enhance the performance of average worker to the level of an expert Limitations of expert system ➢ Expensive computer program ➢ Mostly developed not in regional languages ➢ Requires AC power and internet connection all the time ➢ Complex software requires computer skilled personnel Modules of expert system in agriculture ➢ COMAX: Integrated crop management in cotton ➢ SOYEX: Soybean oil extraction expert system ➢ PLANT/ds: Diagnosis of soybean diseases ➢ MAIZE: Maize expert system for field crop management ➢ SEMAGI: Weed control decision making in sunflowers ➢ Rice Crop Doctor: Developed by National Institute of Agricultural Extension Management (MANAGE) Difference between conventional and expert system of extension Conventional Extension ➢ Universal approachability of same information is a problem ➢ Information is given whatever is available without considering needs and resources ➢ No Cost benefit analysis ➢ Information flow depends on availability of agent ➢ Require users to draw their own conclusion from facts Expert System of Extension ➢ Universal approachability of same information is possible ➢ Information is chosen based on their needs and resources ➢ Cost benefit analysis ➢ Information through Cyber Cafe at any place at any time ➢ Conclusion is drawn based on the decision given by the expert

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