Adaptive learning in bionics: transforming science education

被引:0
作者
Honke, Nadine [1 ]
Becker-Genschow, Sebastian [1 ]
机构
[1] Univ Cologne, Fac Math & Nat Sci, Digital Educ Res, Cologne, Germany
关键词
adaptive learning; intelligent tutoring systems; science education; bionics; situational interest; motivation; cognitive activation; INTELLIGENT TUTORING SYSTEMS; SITUATIONAL INTEREST; MENTAL-HEALTH; EMOTIONS; ACHIEVEMENT; PERFORMANCE; TECHNOLOGY; CHILDREN;
D O I
10.3389/feduc.2025.1427083
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Introduction Adaptive learning platforms offer innovative teaching approaches by tailoring educational content to individual learner's needs, abilities, and paces.Methods This study investigates the effects of an adaptive digital learning platform on user experience, motivation, and learning outcomes among 56 sixth-grade students from two German grammar schools. Students completed three bionics-focused modules- "polar bear", "heat transfer", and "temperature and heat"-integrated into science lessons. Data from questionnaires and performance tests assessed prior knowledge, learning success, cognitive activation, and situational interest.Results The findings indicate that 98% of students found digital media motivating, with 81% favoring a hybrid mix of traditional and digital teaching methods. Positive emotional responses were reported by 62% of participants, though 38% experienced uncertainty. The "polar bear" module achieved the highest learning gain (+41%), followed by "heat transfer" (+23%) and "temperature and heat" (+13%) module.Discussion These results suggest that adaptive digital learning platforms can enhance learning outcomes and cognitive engagement, particularly when the content aligns with student interests and needs.
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页数:21
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  • [1] Ahmed A., Ibrahim A.A., The effectiveness of adaptive learning methods in mathematics compared to flipped learning analyzed by Ann and IoT, Wireless Pers. Commun, 20, pp. 1-21, (2023)
  • [2] Akyuz Y., Effects of intelligent tutoring systems (its) on personalized learning (Pl), Creat. Educ, 11, pp. 953-978, (2020)
  • [3] Apostolidis H., Tsiatsos T., Using sensors to detect student’s emotion in adaptive learning environment. Area9 lyceum. 2024. In Proceedings of the Second International Conference on Innovative Developments in ICT - INNOV
  • [4] SciTePress, pp. 60-65, (2011)
  • [5] Arenas-Gaitan J., Ramirez-Correa P., Rondan-Cataluna F., Cross cultural analysis of the use and perceptions of web based learning systems, Comput. Educ, 57, pp. 1762-1774, (2011)
  • [6] Azevedo N., Ribeiro J., Machado L., Back pain in children and adolescents: a cross-sectional study, Eur. Spine J, 32, pp. 3280-3289, (2023)
  • [7] Area9 Lyceum, (2024)
  • [8] Backfisch I., Lachner A., Sturmer K., Scheiter K., Variability of teachers’ technology integration in the classroom: a matter of utility!, Comput. Educ, 166, (2021)
  • [9] Bangor A., Kortum P., Miller J., Determining what individual Sus scores mean: adding an adjective rating scale, J. Usability Stud, 4, pp. 114-123, (2009)
  • [10] Becker S., Klein P., Gossling A., Kuhn J., Investigating dynamic visualizations of multiple representations using Mobile video analysis in physics lessons, Zeitschrift für Didaktik der Naturwissenschaften, 26, pp. 123-142, (2020)