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Original Articles

Some strategies to improve performance in school chemistry, based on two cognitive factors

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Pages 203-226 | Published online: 13 Oct 2010

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Read on this site (15)

Niwat Tornee, Tassanee Bunterm, Kerry Lee & Supaporn Muchimapura. (2019) Examining the effectiveness of guided inquiry with problem-solving process and cognitive function training in a high school chemistry course. Pedagogies: An International Journal 14:2, pages 126-149.
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H.L. St Clair‐Thompson & C. Botton. (2009) Working memory and science education: exploring the compatibility of theoretical approaches. Research in Science & Technological Education 27:2, pages 139-150.
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Norman Reid. (2009) The concept of working memory: introduction to the Special Issue. Research in Science & Technological Education 27:2, pages 131-137.
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George Papageorgiou, Philip Johnson & Fotis Fotiades. (2008) Explaining melting and evaporation below boiling point. Can software help with particle ideas?. Research in Science & Technological Education 26:2, pages 165-183.
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Muammer Çalık. (2008) Facilitating students’ conceptual understanding of boiling using a four‐step constructivist teaching method. Research in Science & Technological Education 26:1, pages 59-74.
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Articles from other publishers (43)

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Jiwoo AnGlen R. LoppnowThomas A. Holme. (2021) Measuring the impact of incorporating systems thinking into general chemistry on affective components of student learning. Canadian Journal of Chemistry 99:8, pages 698-705.
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Johnson E. UpahiUmesh Ramnarain. (2020) EXAMINING THE CONNECTION BETWEEN STUDENTS’ WORKING MEMORY AND THEIR ABILITIES TO SOLVE OPEN-ENDED CHEMISTRY PROBLEMS. Journal of Baltic Science Education 19:1, pages 142-156.
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Norman Reid. (2019) A tribute to Professor Alex H Johnstone (1930–2017). Chemistry Teacher International 1:1.
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Robert M. Bernard, Eugene Borokhovski, Richard F. Schmid, David I. Waddington & David I. Pickup. (2019) Twenty‐first century adaptive teaching and individualized learning operationalized as specific blends of student‐centered instructional events: A systematic review and meta‐analysis. Campbell Systematic Reviews 15:1-2.
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Po-Sheng Huang & Hsueh-Chih Chen. (2015) Gender Differences in Eye Movements in Solving Text-and-Diagram Science Problems. International Journal of Science and Mathematics Education 14:S2, pages 327-346.
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Sinéad M. Rhodes, Josephine N. Booth, Lorna Elise Palmer, Richard A. Blythe, Mirela Delibegovic & Nial J. Wheate. (2016) Executive functions predict conceptual learning of science. British Journal of Developmental Psychology 34:2, pages 261-275.
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Elena V. Volkova. (2015) Cognitive Learning Technology: DI-approach. Procedia - Social and Behavioral Sciences 171, pages 1330-1339.
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Yu Qi Qiao, Jun Shen, Xiao Liang, Song Ding, Fang Yuan Chen, Li Shao, Qing Zheng & Zhi Hua Ran. (2014) Using cognitive theory to facilitate medical education. BMC Medical Education 14:1.
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Sarwat Mubeen & Norman Reid. (2014) The Measurement of Motivation with Science Student. European Journal of Educational Research 3:3, pages 129-144.
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Suzanne Fergus & Geeta Hitch. (2014) Assessing the Status of Fundamental Chemistry Knowledge Using a Visually Displayed Chemistry Diagnostic Test. New Directions 10:1, pages 50-58.
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Sinéad M. Rhodes, Josephine N. Booth, Lorna Elise Campbell, Richard A. Blythe, Nial J. Wheate & Mirela Delibegovic. (2014) Evidence for a Role of Executive Functions in Learning Biology. Infant and Child Development 23:1, pages 67-83.
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Huda Hindal, Norman Reid*Rex Whitehead. (2013) Gender and Learner Characteristics. European Journal of Educational Research 2:2, pages 83-96.
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Georgios Tsitsipis, Dimitrios Stamovlasis & George Papageorgiou. (2011) A PROBABILISTIC MODEL FOR STUDENTS’ ERRORS AND MISCONCEPTIONS ON THE STRUCTURE OF MATTER IN RELATION TO THREE COGNITIVE VARIABLES. International Journal of Science and Mathematics Education 10:4, pages 777-802.
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Robert Z. Zheng. 2012. Interactivity in E-Learning. Interactivity in E-Learning 95 115 .
Helen St Clair-Thompson, Tina Overton & Myfanwy Bugler. (2012) Mental capacity and working memory in chemistry: algorithmic versus open-ended problem solving. Chem. Educ. Res. Pract. 13:4, pages 484-489.
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Dimitrios Stamovlasis, Georgios Tsitsipis & George Papageorgiou. (2012) Structural equation modeling in assessing students' understanding of the state changes of matter. Chem. Educ. Res. Pract. 13:3, pages 357-368.
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Tassanee Bunterm, Jintanaporn Wattanathorn, Penporn Vangpoomyai & Supaporn Muchimapura. (2012) Impact of Open Inquiry in Science Education on Working Memory, Saliva Cortisol and Problem Solving Skill. Procedia - Social and Behavioral Sciences 46, pages 5387-5391.
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Robert Z. Zheng, Jill A. Flygare & Laura B. Dahl. (2009) Style Matching or Ability Building? An Empirical Study on FD Learners' Learning in Well-Structured and Ill-Structured Asynchronous Online Learning Environments. Journal of Educational Computing Research 41:2, pages 195-226.
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. (2008) Analysis of Transcription and Expression of Inorganic Compounds in the High School Science Textbook. Journal of the Korean Chemical Society 52:4, pages 394-403.
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Kun Yuan, Jeffrey Steedle, Richard Shavelson, Alicia Alonzo & Marily Oppezzo. (2006) Working memory, fluid intelligence, and science learning. Educational Research Review 1:2, pages 83-98.
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