New Technologies in Foreign Language Teaching 4100-1SNTwNJ

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).

The method for verifying learning outcomes (a pass/fail project in written and/or oral form, adaptation of teaching materials and/or tasks, reflective self-evaluation) is subject to change prior to the commencement of the course. This potential change is due to the possibility of participants using artificial intelligence-based tools to generate assignment submissions. The finalised verification methods will be communicated to students during the first class of the winter semester 2025/26.

Preferred Teaching Methods
The preferred teaching methods are: learning by doing, project-based learning, problem-based learning, and the flipped classroom model.

Course Organisation
The course is delivered in a synchronous online mode. This means that classes are conducted in real-time via the ZOOM platform. The course utilises a virtual learning environment, hosted on a dedicated e-learning platform (Kampus or an alternative), which contains materials for self-directed study, including: instructions, video tutorials, presentations, and academic articles.

Pass Requirements
The condition for obtaining a pass grade is to achieve a minimum of 60% of the total points available for:

Partial projects submitted by the deadline on the platform,

A semester presentation delivered during online classes.

Final Grade Criteria:

Below 60% - 2.0 (Fail)

60% - 68% - 3.0 (Satisfactory)

69% - 78% - 3.5 (Satisfactory Plus)

79% - 88% - 4.0 (Good)

89% - 94% - 4.5 (Good Plus)

95% and above - 5.0 (Very Good)

Final Grade Components:

Partial Projects (50%) - assessed according to the following criteria: originality, substantive and methodological correctness, appropriateness of the selected technology to the learning objectives and age group, and the quality of the pedagogical justification.

Active Class Participation (50%) - including a presentation-supported lecture on a selected topic.

Attendance Policy
One unexcused absence per semester is permitted.

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Chen, X., Zou, D., Xie, H., & Cheng, G. (2021). Twenty Years of Personalized Language Learning: Topic Modeling and Knowledge Mapping. Educational Technology & Society, 24 (1), 205-222.
Guo, X., Guo, Y., & Liu, Y. (2021). The Development of Extended Reality in Education: Inspiration from the Research Literature. Sustainability, 13, 13776.
Huang, X., Zou, D., Cheng, G., Chen, X., & Xie, H. (2023). Trends, Research Issues and Applications of Artificial Intelligence in Language Education. Educational Technology & Society, 26(1), 112-131.
Lee, Y. (2023). Mobile microlearning: A systematic literature review and its implications. Interactive Learning Environments, 31(7), 4636-4651.
Lee, J., Leibowitz, J., Rezek, J., Millea, M., & Saffo, G. (2022). The Impact of International Virtual Exchange on Student Success. Journal of International Students, 12(3), 77-95. DOI: 10.32674/jis.v12iS3.4593.
Lin, C., Warschauer, M., & Blake, R. (2016). Language learning through social networks: Perceptions and reality. Language Learning & Technology, 20(1), 124-147.
Luo, S., Zou, D., & Kohnke, L. (2024). A systematic review of research on xReality (XR) in the English classroom: Trends, research areas, benefits, and challenges. Computers & Education: X Reality, 4, 100049.
Rienties, B., Lewis, T., O’Dowd, R., Rets, I., & Rogaten, J. (2022). The impact of virtual exchange on TPACK and foreign language competence: Reviewing a large-scale implementation across 23 virtual exchanges. Computer Assisted Language Learning, 35(3), 577-603.
Shen, Y., Zhou, D., & Wang, Y. (2023). Outcomes of VR, AR and MR Technologies in K-12 Language Education: A Review. International Journal of Learning and Teaching, 9(3). DOI: 10.18178/ijlt.9.3.272-278.
Zhang, S., & Hasim, Z. (2023). Gamification in EFL/ESL instruction: A systematic review of empirical research. Frontiers in Psychology, 13, 1030790. DOI: 10.3389/fpsyg.2022.1030790.
Xinyi Huang, Di Zou, Gary Cheng, Xieling Chen and Haoran Xie, (2023). Trends, Research Issues and Applications of Artificial Intelligence in Language Education, Educational Technology & Society
Vol. 26, No. 1 (January 2023), pp. 112-131, DOI: https://www.jstor.org/stable/48707971
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Języki obce szkole (https://jows.pl/)

Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system:

• Description of 4100-1SNTwNJ in USOSweb