Artificial Intelligence and Teaching Spanish as a Foreign Language
Course description
The course is designed to empower teachers of Spanish as a Foreign Language (SFL) with advanced technological skills. It explores how generative artificial intelligence (AI) can be leveraged to enhance Spanish language teaching from a professional standpoint. Participants will delve into integrating AI tools such as conversational agents (chatbots), image, audio, and audiovisual generators, as well as data analysis techniques, to customize teaching methods and cater to the unique needs of individual students. Furthermore, the course covers the creation of interactive content, utilization of online learning platforms, and automated assessment methods to streamline the educational process. By amalgamating AI with established Spanish teaching methodologies, educators will acquire innovative skills to enhance the effectiveness and accessibility of their classes, providing a more dynamic and tailored learning experience. Ultimately, the course aims to cultivate a critical awareness regarding the utilization of generative artificial intelligence tools and how to effectively incorporate them into foreign language instruction.
Price:250€. The fee covers the course materials and the issuance of the certificate.
Course Author:Esperanza Román Mendoza, trainer of Spanish as a Foreign Language (SFL) teachers specialized in online teaching and authored publications related to the course subject.
Dates:Asynchronous online, from 17/06/2024 to 12/07/2024
Directed by:Ocarina Masid Blanco
Academic Regulations: General student’s regulations. Credit transfer and recognition. Regulation of student participation. Common procedures for carrying out the Final Research Project
University Services: [+info]
This course aims to develop the key competences of teachers as follows:
Course curriculum
Module I.
Introduction to Generative Artificial Intelligence
Week 1:
- Understanding Generative Artificial Intelligence.
- A Brief History of Artificial Intelligence Applications in Language Studies.
- Exploring the Relationship between Generative Artificial Intelligence and Language: The Role of Large Language Models.
- Typology of Generative Artificial Intelligence Tools.
- Challenges and Opportunities of Generative Artificial Intelligence as a Teaching Resource.
Module II.
Generative Artificial Intelligence for Teachers of Spanish as a Foreign Language (SFL)
Week 2:
- Exercise and Learning Situation Generation: Identifying Suitable Activity Typologies for Generative Artificial Intelligence.
- Text Preparation.
- Summary and Exam Creation.
- Curriculum Design.
Module III.
Generative Artificial Intelligence Empowering Students
Week 3:
- Understanding Students' Motivations and Objectives in Utilizing Generative Artificial Intelligence.
- Ensuring Reliability in Grammar, Pragmatics, and Spanish Varieties.
- Addressing Misuse Challenges.
- Strategies for Promoting Responsible Use of Generative Artificial Intelligence Among Students.
Module IV.
Evaluation and Continuing Learning Proposals
- Assessing the Contributions of Generative Artificial Intelligence to Language Teaching.
- Strategies for Minimizing Unnecessary Costs.
- Professional Collaboration: Forums, Organizations, and Expert Individuals in Generative Artificial Intelligence Applications.
- Next Steps for AI in Language Teaching.
Professors
Esperanza Román Mendoza
Catedrática de Español y Lingüística Española en la Universidad George Mason
Professor of Spanish and Spanish Linguistics at George Mason University
Sus áreas de especialización son la educación a distancia, las tecnologías del aprendizaje, la lingüística aplicada y el estudio de las lenguas de herencia desde la perspectiva de la pedagogía crítica. Sus numerosos trabajos sobre tecnología educativa se enfocan en comprender las diferentes formas en las que el alumnado se percibe a sí mismo como aprendiente, y cómo el profesorado puede contribuir a que el estudiantado utilice la tecnología para afrontar y superar sus retos de aprendizaje, aprender de manera autónoma y convertirse en parte activa de la ciudadanía crítica.
More academic information
Methodology
The course will build upon participants' prior reading and experiences, tailoring content to their existing knowledge levels. The methodology will be participatory, emphasizing practical application through interactive theoretical presentations, case studies, and hands-on activities. Discussions will be facilitated via forums, fostering collaboration, resource sharing, and idea exchange within a vibrant learning community. By combining theoretical insights with practical exercises, teachers will acquire the digital competences needed to effectively integrate generative artificial intelligence into the teaching of Spanish as a foreign language.
Objectives
- Design interactive educational materials leveraging generative AI to facilitate dynamic learning tailored to the individual needs of Spanish as a foreign language or heritage language learners.
- Implement automated evaluation strategies, exploring the feedback options provided by generative AI and other advanced ICTs.
- Reflect on specific challenges, such as customizing AI to accommodate student diversity, overcoming barriers, and enhancing accessibility in the Spanish as a Foreign Language (SFL) classroom.
PURPOSE
Advanced Course (B).
Participants
- Online asynchronous format.
- Teachers of Spanish as a Second and Foreign Language, as well as Heritage Language.
- Teachers of Other Foreign Languages.
- Foreign Language Teacher Trainers.
- Editors and Authors of Teaching Materials.
- Professionals Involved in Language Center Management.
- Volunteers from Non-Governmental Organizations Engaged in Teaching Spanish to Migrants.
Evaluation
Continuous evaluation will be conducted throughout the course, with particular emphasis on monitoring the attainment of objectives across various modules. At the conclusion of each module, a practical case study will be presented for group discussion, enabling participants to apply the concepts acquired during that module.
The evaluation will consider:
- Reflections shared on forums or other social platforms regarding theoretical and practical aspects.
- Application of theoretical concepts demonstrated at the conclusion of each module.
Accreditation
Participants in this course will receive a certification of achievement jointly issued by the Cervantes Institute and Nebrija University. The university will send the certification to the interested party upon completion of the course requirements, which include active participation in communication activities and successful completion of course evaluation tasks with a passing grade.
Bibliography
Prior to taking the course, it is recommended to consult the following:
- • Román Mendoza, E. (2023). Formular preguntas para comprender las respuestas: ChatGPT como agente conversacional en el aprendizaje de español como segunda lengua. MarcoELE, 36. Available in PDF
Technical Requirements
Participants must have the following equipment to take the course:
- Device with internet connection (broadband).
- Web browser: Internet Explorer or Mozilla Firefox.
- Necessary applications: word processor, Adobe Flash Player, Adobe Acrobat Reader, etc.
- Valid email address.
- Graphics card: 8 MB memory.
- Sound card: 16 bits.
- Webcam.
- Microphone: standard.
- Speakers or headphones: standard.
Knowledge and use of basic computer tools at a user level are required.
Registration and Information
Those interested can inquire about the registration process at:
Contact Information for Registration:
Postal Address: C/ Asura, 90. 28043 Madrid
Telephone: 914521100 Fax: 91452111
cursoscervantes@nebrija.es