최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기초등과학교육 = Journal of Korean elementary science education, v.35 no.3, 2016년, pp.288 - 304
The purpose of this study is a review of previous studies and principles of eye-tracking techniques that are actively applied in recent elementary science education. Also it proposes to utilize the direction of eye tracking techniques in elementary science education research. Recent eye-tracking tec...
핵심어 | 질문 | 논문에서 추출한 답변 |
---|---|---|
이동형 시선 추적이 고정형보다 더 많은 시간과 노력이 필요한 이유는 무엇인가? | 시선추적기에 따라 분석 프로그램과 방법의 차이가 있으며, 이동형 시선 추적의 경우, 연구 참여자의 움직임에 따라 보는 장면이 달라지기 때문에, 고정형 시선추적보다 안구운동을 분석하는데 더 많은 시간과 노력이 필요하다. 그 이유는 분석하고자하는 관심영역이 연구대상자가 보고 있는 장면에 따라 그 위치가 계속 변경되기 때문에, 실시간으로 관심영역을 재설정해야하기 때문이다. | |
시선추적은 어떤 연구방법인가? | , 2015; Lee & Park, 2015; Liu & Shen, 2011)들이 활발히 이루어지고 있다(Shin & Shin, 2014b). 시선추적은 실시간으로 안구 움직임을 추적하여 연구 참여자가 무엇을 어떻게 보는가를 분석하는 연구방법을 말한다(Andrew, 2007; Bojko, 2013; Duchowski, 2007; Holmqvist et al., 2011; Shin, 2016). | |
시각은 어떻게 대상을 재인할 수 있는가? | 시각은 외부정보를 수집하는 가장 핵심적인 감각기관이고, 외부자극에서 수집한 시각정보를 토대로 표상을 형상화하여 그 표상을 장기기억의 표상과 비교함으로써 대상을 재인할 수 있다(Shin & Shin, 2013b, Shon et al., 2003). |
Adesope, O. O., Cavagnetto, A., Hunsu, N. J., Anguiano, C. & Lloyd, J. (2016). Comparative effects of computer-based concept maps, refutational texts, and expository texts on science learning. Journal of Educational Computing Research, 1(1), 1-24.
Andrew, D. (2007). Eye tracking methodology: theory and practice. New York: Springer-Verlag.
Ansari, D. & Coch, D. (2006). Bridges over troubled waters: education and cognitive neuroscience. Trends in Cognition Science, 10(4), 146-151.
Ariasi, N., Hyona, J., Kaakinen, J. K. & Mason, L. (2016). An eyemovement analysis of the refutation effect in reading science text. Journal of Computer Assisted Learning, 24, 1-20.
Balchin, T. (2007). Teacher nominations of giftedness: Investigating the beliefs of British G&T coordinators. Journal for the Education of the Gifted, 32(1), 34-45.
Basaraba, D., Zannou, Y., Woods, D. & Ketterlin-Geller, L. (2013). Exploring the utility of student-think alouds for providing insights into students' metacognitive and problem-solving processes during assessment development. SREE Fall 2013 Conference.
Berliner, D. C. (1991). Educational psychology and pedagogical expertise: New findings and new opportunities for thinking about training. Educational Psychologist, 26(2), 145-155.
Bermudez, J. L. (2010). Cognitive science: An introduction to the science of the mind. Cambridge University Press.
Bojko, A. (2013). Eye tracking the user experience - A practical guide to research. New York: Rosenfeld Media Brooklyn.
Byeon, J., Lee, I. & Kwon, Y. (2011). A study on consulting of teaching behavior patterns of gaze fixation by using eye tracker: The case study. Journal of Learner-Centered Curriculum and Instruction, 11(4), 173-199.
Byeon, J., Lee, I. & Kwon, Y. (2011). A study on consulting of teaching behavior patterns of gaze fixation by using eye tracker: The case study. Journal of Learner-Centered Curriculum and Instruction, 11(4), 173-199.
Choi, H. & Shin, D. (2012). Eye-tracking on inservice elementary teachers' interpreting of science textbook tables. Journal of Korean Elementary Science Education, 31(3), 358-371.
Choi, H., Shin, W. & Shin, D.(2012). Differences in eye movement pattern during the classification between the gifted and general students in elementary schools. Journal of Korean Elementary Science Education, 31(4), 501-512.
Choi, M. (2003). A study on the method of eye tracking analysis based on the properties in visual perception of user -With emphasis on the development of analysis-framework for product design-. Journal of Korean Society of Design Science, 16(4), 197-206.
Choi, S. (2014). Exploring gender difference in reading comprehension process using eye tracking technology. Journal of Learner-Centered Curriculum and Instruction, 14(11), 573-597.
Choi, S. (2015). The characteristics of eye movement in Korean elementary students: Landing position and word frequency effects. The Korean Journal of Learning Disabilities, 12(3), 1-18.
Choi, S., Ban S. & Lee, M. (2004). Human-like selective attention model with reinforcement and inhibition mechanism. N.R. Pal et al. (Eds.): ICONIP 2004, LNCS 3316, 694-699.
Chung, J. & Park, J. (2011). An analysis of the selection process of elementary science gifted students by teacher's recommendation focused on analysis of teacher's recommendation letters. Journal Teacher Education, 50(3), 1-12.
Davey, B. (1983). Think aloud: Modeling the cognitive processes of reading comprehension. Journal of Reading, 27(1), 44-47.
Davis, G. A. & Rimm, S. B. (2003). Education of the gifted and talented. Massachusetts: Allyn & Bacon. pp. 46-158.
Duchowski, A. (2007). Eye tracking methodology: theory and practice. New York: Springer-Verlag.
Guo, C. J. & Chiu, M. H. (2016). Opportunities and challenges for science education in Asia: Perspectives based on the Taiwan experience. In Science education research and practice in Asia, Springer Singapore, pp. 175-196.
Ha, B. G., Kim, E. A., Kim, S. U. & Yang, I. H. (2016). An analysis of elementary school student's eye movement in solving process of light and shadow tasks. Advanced Science and Technology Letters, 122, 27-33.
Han, M., Kwon, S. & Kwon, Y. (2015). Analysis of eye-tracking features during visual search task between the gifted and general students in elementary schools. Journal of Learner-Centered Curriculum and Instruction, 15(8), 67-81.
Herrlinger, S., Hoffler, T. N., Opfermann, M. & Leutner, D. (2016). When do pictures help learning from expository text? Multimedia and modality effects in primary schools. Research in Science Education, 26, 1-20.
Holmqvist, K., NystrOm, M., Anderson, R., Dewhurst, R., Jarodzka, H. & Van de Weijer, J. (2011). Eye tracking: A comprehensive guide to methods and measures. New York: Oxford University Press.
Itti, L., Koch, C. & Niebur, E. (1998). A model of saliency-based visual attention for rapid scene analysis. IEEE Trans. Patt. Anal. Mach. Intell. 20(11), 1254-1259.
Jacob, R. J. & Karn, K. S. (2003). Eye tracking in human-computer interaction and usability research: Ready to deliver the promises. Mind, 2(3), 573-605
Jang, K. & Shin, D. (2013). An analysis of understanding and eye movement of elementary school students according to the types of science textbook illustration. The Journal of Korea Elementary Education, 24(4), 127-146.
Jeong, A. & Lee, K. (2016). Analysis of processes in understanding about illustrated science text for high science achievers and low science achievers with types of biological knowledge using eye-tracking. Biology Education, 44(1), 155-166.
Jeong, S. & Kang, C. (2015). A study on textbook reading style of the first grade students in elementary school through the eye-tracking. Journal of Curriculum Integration, 9(1), 69-88.
Jian, Y. C. (2016). Fourth graders' cognitive processes and learning strategies for reading illustrated biology texts: Eye movement measurements. Reading Research Quarterly, 51(1), 93-109.
Jones, M. G., Childers, G., Emig, B., Chevrier, J., Stevens, V. & Tan, H. (2016). The efficacy of visuohaptic simulations in teaching concepts of thermal energy, pressure, and random motion. In Insights from research in science teaching and learning (pp 73-86). Springer International Publishing.
Just, M. A. & Carpenter, P. A. (1976). Eye fixations and cognitive processes. Cognitive Psychology, 8, 441-480.
Kastens, K. A., Shipley, T. F., Boone, A. P. & Straccia, F. (2016). What geoscience experts and novices look at, and what they see, when viewing data visualizations. Journal of Astronomy & Earth Sciences Education, 3(1), 27-58.
Kim, H. (2015). Research for analysis of Korean reading process using eye-tracking technology - For intermediate and advanced readers among foreign Korean learners. The International Association for Korean Language Education, 479-497.
Kim, S., Byeon, J., Lee, I. & Kwon, Y. (2012). An eye tracking study on test-item solving of science scholastic achievement focused in elementary school students. Journal of Learner-Centered Curriculum and Instruction, 12(1), 65-78.
Kim, Y., Kwon, S. & Kwom, Y. (2015) Analysis of high school students' visual attention at digital contents on biological science. Journal of Learner-Centered Curriculum and Instruction, 15(12), 91-110.
Kim, Y., Kwon, S. & Kwon, Y. (2015). Analysis of high school students' visual attention at digital contents on biological science. Journal of Learner-Centered Curriculum and Instruction, 15(12), 91-110.
Kwon, S., Lee. Y., Kim, Y., Eom, J. & Kang, M. (2016). Visual attention of preschool children on popular characters in animation: An eye-tracking study. Journal of Learner-Centered Curriculum and Instruction, 16(3), 105-124.
Law, D. D., Meyer, S. & Fall, L. (2016). Using family science concept maps to gain higher order student learning outcomes. Family Science Review, 21(2), 116-134.
Lee, I. & Han, K. (2009). The analysis of teacher's recommendation usefulness in selecting scientific gifted students. Journal of Gifted and Talented Education, 19(2), 381-404.
Lee, J. & Shin, D. (2012b). The unit-introduction development of Korean textbook in the elementary school through the eye tracking method II: Focusing on the introductory question and speech-bubbles. The Journal of Korea Elementary Education, 23(3), 89-109.
Lee, J. & Park, Y. (2015). Investigating rater's cognitive processes in the writing assessment. Korean Language Education Research, 50, 396-424.
Lee, J. & Shin, D. (2012a). The unit-introduction development of Korean textbook in the elementary school through the yet tracking method. Journal of Elementary Korean Education, 49, 133-159.
Lee, K. & Kang, D. (2015). A study on writing research method for analysis of writer's cognitive process. Journal of CheongRam Korean Language Education, 56, 173-199.
Lee, M. (2009). Selective attention concentration artificial vision system. The Journal of Korea Institute of Electronics Engineers, 36(11), 52-65.
Lee, M. & Lee, H. (2015). Elementary students' formation of relational thinking about equation - Centered for web-based balance. School Mathematics, 17(3), 391-405.
Lee, S. & Suh, H. (2013). The current status and perspectives of research on reading process using eye-tracker. Korean Language Education Research, 46, 479-503.
Lee, Y. (2009). Understanding the syntactic ambiguity resolution processes of Korean garden-path sentences: An eye-tracking study. Journal of the Korean Data Analysis Society, 11(6), 3089-3104.
Lim, S., Choi, H., Yang, I. & Jeong, M. (2013). An analysis of eye movement in observation according to university students' cognitive style. Journal of Korean Elementary Science Education, 33(4), 778-793.
Lin, L., Lee, C. H., Kalyuga, S., Wang, Y., Guan, S. & Wu, H. (2016). The effect of learner-generated drawing and imagination in comprehending a science text. The Journal of Experimental Education, 1(1), 1-13.
Liu, C. J. & Shen, M. H. (2011). The influence of different representations on solving concentration problems at elementary school. Journal of Science Education and Technology, 20, 621-629.
Lustigova, Z. & Novotna, V. (2016, June). Cognitive strategies of students in virtual laboratories (eye tracking based case study). In Conference proceedings. The future of education (pp. 131-136). libreriauniversitaria. it Edizioni.
Milner, A. D. & Gooddale, M. A. (1995). The visual brain in action. Oxford; Oxford University Press.
Muller, H. J. & Krummenacher, J. (2006). Visual search and selective attention. Visual Cognition, 14(4-8), 389-410.
Navalpakkam, V. & Itti, L. (2002) A goal oriented attention guidance model. Biologically Motivated Computer Vision Lecture Notes in Computer Science, 2525, 453-461.
Park, Y., Kim, E. & Yang, I. (2016). Analysis of eye movements according to emotions during elementary students' observation activities. Advanced Science and Technology Letters, 127, 217-221.
Posner, M. I., Snyder, C. R. R. & Davidson, B. J. (1980). Attention and the detection of signals. Journal of Experimental Psychology: General, 109, 160-174.
Rayner, K. (1998). Eye movements in reading and information processing: 20 years of research. Psychological Bulletin, 124(3), 372-422.
Roebers, C. M., Schmid, C. & Roderer, T. (2010). Encoding strategies in primary school children: Insights from an eye-tracking approach and the role of individual differences in attentional control. The Journal of Genetic Psychology, 171(1), 1-21.
Ryu, J. & Moon, J. (2013). The effects of line length and information seeking in e-book for learning on eye-fixation time, cognitive load, and comprehension. The Korea Educational Review, 19(3), 293-313.
Schroth, S. T. & Helfer, J. A. (2008). Identifying gifted students: Educator beliefs regarding various policies, processes, and procedures. Journal for the Education of the Gifted, 32, 155-179.
Shin, D. & Kwon, Y. (2007). A review on brain study methods in elementary science education -A focus on the fMRI method-. Journal of Korean Elementary Science Education, 26(1), 49-62.
Shin, W. (2016). The development of science knowledge generative learning WEDO model through cognitive-neuroscientific analysis on elementary science class. Graduate School of Education SNUE, Doctorate thesis.
Shin, W. & Shin, D. (2012). Eye movement analysis on elementary teachers' understanding process of science textbook graphs. Journal of Korean Elementary Science Education, 31(3), 386-397.
Shin, W. & Shin, D. (2013a). Analysis of eye movement by the science achievement level of the elementary students on observation test. Journal of Korean Elementary Science Education, 32(2), 185-197.
Shin, W. & Shin, D. (2014a). Analysis of eye movement of pre-service elementary teacher about "life cycle of plant" external representation in 2007, 2009 reform science textbook. Biology Education, 42(2), 115-131.
Shin, W. & Shin, D. (2014b). The development of intervention program for enhancing elementary science-poor students' basic science process skills - Focus on eye movement analysis -. Journal of the Korean Association for Science Education, 34(8), 797-808.
Shin, W., Shin, D. & Jhun, Y. (2013b). The educational games' UI study from the point of view of UX by eye-tracking. Journal of the Korean Association of Information Education, 17(2), 211-224.
Shon, Y. S., Lee, H. K., Ok, A. N. & Kim, M. S. (2003). The effect of selective attention and perspective changes on the recognition of meaningless figure. Korean Journal of Cognitive and Biological Psychology, 15(2), 259-274.
Siegle, D. & Powell, T. (2004). Exploring teacher biases when nominating students for gifted programs. Gigted Child Quarterly, 48, 21-29.
Snowden, R., Tnompson, P. & Troscianko, T. (2012). Basic vision: An introduction to visual perception. New York: Oxford University Press.
Tang, H., Day, E., Kendhammer, L., Moore, J. N., Brown, S. A. & Pienta, N. J. (2016). Eye movement patterns in solving science ordering problems. Journal of Eye Movement Research, 9(3), 1-13.
Taricani, E. (2016). Collaborative knowledge in online learning environments. In EdMedia: World Conference on Educational Media and Technology, 1, 733-737.
Tippett, C. D. (2016). What recent research on diagrams suggests about learning with rather than learning from visual representations in science. International Journal of Science Education, 38(5), 725-746.
Treisman, A. M. & Gelade, G. (1980). A feature-integration theory of attention. Cognitive Psychology, 12, 97-136.
Tsuchida, S. & Matsuura, S. (2016, July). A role of augmented reality in educational contents: Intermediating between reality and virtual reality. In International conference on virtual, augmented and mixed reality (pp. 736-745). Springer International Publishing.
Van Tassel-Baska, J., Johnson, D. & Avery, L. (2002). Using performance tasks in the identification of economically disadvantaged and minority gifted learners: Findings from Project STAR. Gifted Child Quarterly, 46, 110-123.
Vaz-Rebelo, P., Fernandes, P., Morgado, J., Monteiro, A. & Otero, J. (2016). Students' conscious unknowns about artefacts and natural objects. Educational Psychology, 36(1), 176-190.
Wolfe, J. M. & Horowitz, T. S. (2004). What attributes guide the deployment of visual attention and how do they do it? Nature Review: Neuroscience, 5(6), 495-501.
Yang, F. Y., Chang, C. C., Chen, L. L. & Chen, Y. C. (2016). Exploring learners' beliefs about science reading and scientific epistemic beliefs, and their relations with science text understanding. International Journal of Science Education, 38(10), 1-15.
Yang, F. Y., Huang, R. T. & Tsai, I. J. (2016). The effects of epistemic beliefs in science and gender difference on university students' science-text reading: An eye-tracking study. International Journal of Science and Mathematics Education, 14(3), 473-498.
You, M., Kang, Y. & Yeh, H. (2011). Analysis identification results of gifted students by class observations and nominations in the science-gifted education center at university. Journal of Science Education for the Gifted, 3(2), 27-38.
Zheng, R. & Wang, Y. (2016). Optimizing students' information processing in science learning: A knowledge visualization approach. In Knowledge visualization and visual literacy in science education (pp 307-329). IGI Global.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
Free Access. 출판사/학술단체 등이 허락한 무료 공개 사이트를 통해 자유로운 이용이 가능한 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.