New Technologies in Foreign Language Teaching 4100-1SNTwNJ

Learning outcomes achieved during the course: K_U13, K_U16, K_K01, K_K06
Student:
**(K_U13)** is able to independently plan and implement their own lifelong learning through formal and informal professional development in the field of dynamically evolving new technologies (P6S_UU).

**(K_U16)** is able to appropriately select, create, adapt, and critically evaluate teaching materials and resources in the field of new technologies (including interactive exercises, presentations with GenAI, audiovisual materials, resources based on artificial intelligence - AI, augmented reality - AR, and virtual reality - VR), taking into account the diverse needs, capabilities, and aptitudes of learners at the A1-A2 level; is able to independently design and effectively implement didactic, educational, and care-related activities using the aforementioned tools within the subjects: English and the second specialization-specific subject at the lower secondary education level (P6S_UK).

**(K_K01)** is ready to critically evaluate their own knowledge and received content in the field of educational technology within the context of teaching English and the second specialization-specific subject at the lower secondary education level (P6S_KK).

**(K_K06)** is ready to build relationships based on mutual trust among all participants of the teaching and educational process (including parents/guardians of students) and to engage them in actions supporting educational effectiveness through the use of new technologies (P6S_KR).

**Learning outcomes assessed:** K_U13, K_U16, K_K01, K_K06.

**1. Course organisation and teaching methods**

In the winter semester, classes are held online. Practical classes are conducted in two subgroups: A and B. Students will be assigned to subgroups during the first class.

Self-study materials and compulsory assignments are provided on the Kampus learning platform. The materials include instructions, video tutorials, presentations and academic articles.

The course uses learning by doing, project-based learning, problem-based learning and the flipped classroom approach, in which students study materials before class and apply what they have learnt during practical activities.

**2. Requirements for passing the course**

To pass the course, students must:

– deliver an original semester presentation during class on a selected topic related to the use of educational technologies;
– complete all compulsory coursework projects on Kampus by the specified deadlines;
– take the coursework tests;
– meet the attendance requirements;
– obtain at least 60% of the maximum total points available for the course.

The assessment components account for the following proportions of the maximum total points:

– **semester presentation – 40%;**
– **coursework projects – 40%;**
– **coursework tests – 20%.**

**3. Assessment criteria**

**A. Semester presentation – 40% of the total points**
Veryfied learning outcommes: K_U16, K_K01, K_K06

The presentation is assessed against the following criteria:

– **Critical analysis of the digital tool** – a thorough evaluation of its capabilities and limitations in foreign language teaching.

– **Teaching applications** – the relevance of the proposed applications to the learning objectives, the language skills being developed and the learners’ proficiency level.

– **Original project** – the quality, creativity and practical value of the material or activity, together with evidence of the student’s own contribution.

– **Use of artificial intelligence (AI), where applicable** – a clear account of how AI was used, critical verification of the resulting content and the ability to justify the decisions made.

– **Presentation delivery** – accuracy and clarity of expression, logical organisation of content and adherence to the allotted time.

– **Technical and visual quality** – the readability of the materials and effective use of multimedia and online presentation tools.

– **Audience interaction** – engaging participants, initiating discussion and responding to questions and comments.

**B. Coursework projects – 40% of the total points**
Veryfied learning outcommes: K_U13, K_U16, K_K01

Projects involve creating or adapting teaching materials and tasks, such as presentations, podcasts, screencasts and video clips, as well as compiling a bibliography on a selected topic and completing a reflective self-evaluation of one’s own work.

Projects are assessed against the following criteria:

– **Alignment with the learning objectives** – the project’s usefulness for language learning or teaching and its suitability for the intended audience’s proficiency level, needs and capabilities.

– **Content and language accuracy** – reliable content, correct language, and clear instructions and explanations.

– **Quality of development or adaptation** – purposeful modifications, coherence, creativity and evidence of the student’s own contribution.

– **Selection and use of technology** – the suitability of the tools for the task and, where AI is used, a clear account of its role and critical verification of the resulting content.

– **Technical quality and accessibility** – readability, clear structure, and the quality of audio, video and multimedia elements, as appropriate to the project format.

– **Selection and documentation of sources** – the credibility and relevance of the materials used, respect for copyright, and complete and consistent bibliographic references.

– **Quality of reflective self-evaluation** – justification of the decisions made, identification of the strengths and limitations of one’s own work, and specific suggestions for improving the work and further developing one’s skills.

The criteria are applied as appropriate to the type and scope of each project.

**C. Coursework tests – 20% of the total points**
Verified learning outcomes: K_U16
Tests consist exclusively of closed-ended questions based on assigned academic articles. They assess students’ understanding of the main arguments, concepts and conclusions, their interpretation of the content, and their recognition of its relevance to foreign language learning and teaching.

Points are awarded for correct answers in accordance with the answer key and the scoring scheme specified for each item.

**4. Rules on the use of artificial intelligence**

AI tools and language-processing technologies may be used only with the instructor’s permission and after the scope of their use has been agreed in advance. **Using AI without the instructor’s permission results in a failing grade for the specific assignment in which it was used.**

Where AI has been used with permission, students must disclose how it was used, verify the resulting content and be able to justify the decisions made.

**5. Attendance requirements**

One unexcused absence is permitted per semester. Exceeding this limit results in an NK grade and the requirement to repeat the course.

**6. Final grade**

The final grade is based on the total points obtained, taking into account the proportions assigned to the assessment components in Section 2. The following thresholds apply:

– below 60% of the total points – **2.0**;
– at least 60% but below 69% – **3.0**;
– at least 69% but below 79% – **3.5**;
– at least 79% but below 89% – **4.0**;
– at least 89% but below 95% – **4.5**;
– at least 95% – **5.0**.

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All books avaible in the Library of CKNJOiEE (call number beside each book)

1. Carrigan, M. (2025). *Generative AI for Academics*. SAGE. **Sygn. MI.30087–30088.**

2. Galea, E., Sayer, O. (2025). *Generation Alpha in the Classroom: New Approaches to Learning*. Oxford University Press. **Sygn. M.30299, 30303–30304.**

3. Martin, N., Wray, M., Krupa, J. (red.). (2025). *Universal Design for Learning: A Critical Approach*. Routledge. **Sygn. Ps/Pd.20858.**

4. Hockly, N. (2024). *Nicky Hockly’s 30 Essentials for Using Artificial Intelligence*. Cambridge University Press. **Sygn. M.20826–20827.**

5. Michalska, J. (2024). *Szkoła w czasach AI: jak przygotować dzieci na wyzwania jutra*. MT Biznes. **Sygn. MI.30132–30133.**

6. Mollick, E. (2024). *Co-Intelligence: Living and Working with AI*. WH Allen. **Sygn. MI.30138–30139.**

7. Crawford, K. (2024). *Atlas sztucznej inteligencji: władza, pieniądze i środowisko naturalne*. Przeł. T. Chawziuk. Bo.wiem. **Sygn. MI.30159–30162.**

8. Farr, F., Murray, L. (red.). (2020). *The Routledge Handbook of Language Learning and Technology*. Wydanie w miękkiej oprawie. Routledge. **Sygn. L.30114.**

9. Darby, F., Lang, J. M. (2019). *Small Teaching Online: Applying Learning Science in Online Classes*. Jossey-Bass. **Sygn. Ps/Pd.20584.**

10. Clandfield, L., Hadfield, J. (2017). *Interaction Online: Creative Activities for Blended Learning*. Cambridge University Press. **Sygn. M.19081–19082, M.19146.**

Online:
https://www.jstor.org/stable/48707971
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Języki obce szkole (https://jows.pl/)