Page 86 - International Perspectives on Effective Teaching and Learning in Digital Education
P. 86

Vesna Ferk Savec and Sanja Jedrinović

                       health-related educational activities, addressing SDG 3, SDG 4, SDG 9,
                       SDG 1 and SDG 1. This integration emphasises the improvement of
                       health and well-being alongside quality educational outcomes throu-
                       gh the use of AI-driven technologies.
                        − The  role of AI in higher education outlined in Table 4 emphasises its
                       transformative ability to promote the achievement of the SDGs:
                        − In the context of an AI Assistant (e.g. practice No 1, 3, 5, 9, 1, 13, 15, 17,
                       19, 6), tools such as ChatGPT, MidJourney and DALL-E enhance creati-
                       ve exploration (SDG 4) and promote innovation through personalised
                       support and adaptive learning resources. These features enable inclu-
                       sive education by tailoring learning experiences to learners’ individual
                       needs, fostering creativity and problem-solving skills.
                        − In the context of predictive analytics (e.g. practice No , 6, 11, , 3), tools
                       such as Teachable Machine use data-driven insights to enable educa-
                       tors to recognise patterns and learning gaps to support quality educa-
                       tion (SDG 4) and contribute to industrial innovation (SDG 9). Predictive
                       AI technologies enable educators to proactively address students’ ne-
                       eds and create an inclusive and equitable learning environment that
                       enables sustainable educational progress.
                        − In terms of assessment and evaluation (e.g. practice No 4, 7, 8, 1, 13, 14,
                       16, 4), Intelligent Tutoring Systems and platforms such as Coursera
                       improve inclusivity (SDG 1) by adapting content for diverse learner
                       populations. They also empower educators with real-time feedback,
                       promoting sustainable educational practices (SDG 1). These AI tools
                       improve the effectiveness of assessments by facilitating personalized
                       learning pathways that ultimately benefit both students and teachers.
                        − Tools such as MidJourney and Blender used in managing student lear-
                       ning (e.g. practice No 11, ) expand the potential for creating immersi-
                       ve and engaging educational content, fostering creativity (SDG 8) and
                       enhancing industry standards (SDG 9). AI-driven learning management
                       tools enable collaborative content development and actively engage
                       learners, enhancing the overall educational experience.
                        − Finally, the integration of AI into learning tools such as WiseCut and
                       Photosonic (e.g. practice N   ,  6) facilitates multidimensional col-
                                               o
                       laboration (SDG 17) by streamlining content creation and enhancing
                       global communication. These examples show how AI applications in
                       education contribute to progress on multiple SDGs by fostering inno-
                       vation, inclusivity and sustainability.




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