Task Complexity and Students’ Cognitive Load in Science among Grade 11 Students at Kitubo National High School Bukidnon
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Abstract: This research study investigates the task complexity and students’ cognitive load in science of grade-11 science students in Kitobo National High School, Kitubo, Kitaotao, Bukidnon during the second quarter of the academic year 2024-2025. The study aims to examine 1. The level of task complexity for the students in science; 2. The level of students’ cognitive load in science; 3. The relationship between task complexity and students’ cognitive load in science. The participant of the study involves 87 science students from 3 different sections of grade-11 selected through purposive sampling. Participants answered a 42-item survey questionnaire divided into two parts focusing on the task complexity and cognitive load. The data collected were analyzed using statistical tool called SPSS. Analysis of the data shows several insights on the cause and effect of task complexity and cognitive load as well as the close direct proportionality of the variables. While complex task triggers the students to do more and improve their output better, there is still a need to improve in delivering and presentation of the task and lesson. A well-structured task that aligns with students' cognitive capabilities and reduce extraneous cognitive load can significantly enhance learning outcomes. By balancing task complexity with appropriate support, educators can foster deeper understanding and more effective learning experiences. Educators should continue refining task design to ensure it supports cognitive load management while promoting engagement. Further research is needed to explore how specific task structures impact different types of cognitive load across various learning environments. Additionally, developing targeted strategies to reduce extraneous load in digital learning contexts could provide valuable insights for improving online education.
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Sara, Ghanbarzadeh., Javad, Gholami. (2014). the Effects of Task Complexity on the Complexity and Accuracy of Foreign Language Learners' Essays. Modern Journal of Language Teaching Methods, 4(2):25-.
Dong-Han, Ham. (2013). Identification and Organization of Task Complexity Factors Based on a Model Combining Task Design Aspects and Complexity Dimensions. Journal of the Ergonomics Society of Korea, 32(1):59-68. doi: 10.5143/JESK.2013.32.1.59 DOI: https://doi.org/10.5143/JESK.2013.32.1.59
Adnan, Mukhrib. (2021). an Investigation of the Impact of Manipulation of Task Complexity on Cognitive Processes into Both NS and Second Language Learners. Journal of Language Teaching and Research, 12(6):1095-1106. doi: 10.17507/JLTR.1204.26 DOI: https://doi.org/10.17507/jltr.1204.26
T., Grandon, Gill., Richard, C., Hicks. (2006). Task Complexity and Informing Science: A Synthesis. Informing Science the International Journal of an Emerging Transdiscipline, 9:1-30. doi: 10.28945/469 DOI: https://doi.org/10.28945/469
Paas, F., Renkl, A., & Sweller, J. (2003). Cognitive Load Theory and Instructional Design: Recent Developments. Educational Psychologist, 38(1), 1–4. doi:10.1207/s15326985ep3801_1 DOI: https://doi.org/10.1207/S15326985EP3801_1
Sweller, J., Ayres, P., Kalyuga, S. (2011). Intrinsic and Extraneous Cognitive Load. In: Cognitive Load Theory. Explorations in the Learning Sciences, Instructional Systems and Performance Technologies, vol 1. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-8126-4_5 DOI: https://doi.org/10.1007/978-1-4419-8126-4_5
Chao-Chih, Wang., Peter, K.-H., Cheng., Tzu, Hua, Wang. (2022). 5. Measurement of Extraneous and Germane Cognitive Load in the Mathematics Addition Task: An Event-Related Potential Study. Brain Sciences, doi: 10.3390/brainsci12081036 DOI: https://doi.org/10.3390/brainsci12081036
Patrick, McLaughlin., Brett, Vaughan., Nicholas, Tripodi., Kate, Kelly. (2023). 5. Incorporating cognitive load theory into curriculum design for the teaching of novel clinical skills in Australian osteopathy students. Focus on health professional education : a multi-disciplinary journal, doi: 10.11157/fohpe.v24i3.676 DOI: https://doi.org/10.11157/fohpe.v24i3.676
Yanuar, Hery, Murtianto., Bambang, Agus, Herlambang., Muhtarom, .. (2022). 2. Cognitive Load Theory on Virtual Mathematics Laboratory: Systematic Literature Review. KnE Social Sciences, doi: 10.18502/kss.v7i19.12461 DOI: https://doi.org/10.18502/kss.v7i19.12461
Ouhao, Chen., Fred, Paas., John, Sweller. (2023). 3. A Cognitive Load Theory Approach to Defining and Measuring Task Complexity Through Element Interactivity. Educational Psychology Review, doi: 10.1007/s10648-023-09782-w DOI: https://doi.org/10.1007/s10648-023-09782-w
Kyle, John, Wilby., Bridget, Paravattil. (2021). 2. Cognitive load theory: Implications for assessment in pharmacy education. Research in Social & Administrative Pharmacy, doi: 10.1016/J.SAPHARM.2020.12.009 DOI: https://doi.org/10.1016/j.sapharm.2020.12.009
John, Sweller. (2023). 2. Cognitive load theory. doi: 10.1016/b978-0-12-818630-5.14020-5 DOI: https://doi.org/10.1016/B978-0-12-818630-5.14020-5
Anshul, Sharma., Khushal, Thakur., Divneet, Singh, Kapoor., Kushal, Singh. (2023). 1. Promoting Deeper, Meaningful Learning in the Contemporary Educational Landscape. Advances in educational technologies and instructional design book series, doi: 10.4018/978-1-6684-8208-7.ch005 DOI: https://doi.org/10.4018/978-1-6684-8208-7.ch005
John, E., Hutchins. (2009). 2. Lesson plan and course material organization.
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