ARCHIVES
Year 2026 · Volume 6 · Issue 5
Original Article
Developing Problem Solving Skills in Chemistry through the Algorithm Approach
Chona T. Pangilinan1
1 USA
Published Online: September-October 2026
Pages: 359-373
Cite this article
↗ https://www.doi.org/10.59256/ijrtmr.20260605039
References
1) Stamovlasis, A.R. (2005). Conceptual understanding versus algorithmic problem-solving: Further evidence from a national chemistry examination. Educational Research. University of Loannina, Department of Chemistry: Greece, pp. 118-155.
2) Levy, Yair and Ellis, Timothy (2011). A Guide for Novice Researchers on Experimental and Quasi-Experimental Studies in Information Systems Research. Interdisciplinary Journal of Information, Knowledge and Management. Volume 6, 2011, pp. 150-161.
3) Bodner, George M. (2015). The Role of Algorithms in Problem Solving. USA: Mountain Press Publishing Company, pp. 85-97.
4) Schmidt H.-J. and Jignéus C., (2003), Strategies in solving algorithmic stoichiometry problems. Karlstad University, Sweden: Norstedts Publishing House, pp. 305-317.
5) Ertl, Peter (2017). An algorithm to identify functional groups in organic molecules. Journal of Cheminformatics. PMCID: PMC5462667, 96-128.
6) Neria, Dorit & Amit, Miriam (2006). When the wrong answer is the good answer: Problem solving as a means for identifying mathematical promise. Israel: Achiasaf Publishing House, pp. 115-126.
7) Drechsler, M. (2007). Models in chemistry education. Karlstad University, Karlstad, Sweden: B. Wahlstorms Publishing House, pp. 82-97.
8) Gakunga, Daniel K. & Mwikali, Kithungu R. (2015). The Influence of Availability of Computer Facilities in Public and Private Secondary Schools on Students’ Choice of Computer Studies as a Learning Subject in Machakos Sub-County, Kenya. University of Nairobi: Kenya, pp. 206-235.
9) Sukmadinata, N.S. (2012). Metode Penelitian Pendidikan. Bandung: PT Remaja Rosdakarya, pp. 157-168.
10) Leach, J., & Scott, P. (2003). Individual and Sociocultural Views of Learning in Science Education. Kluwer Academic Publishers, pp. 156-208.
11) Cherry, C., et. al. (2017). Bridging semantics and syntax with graph algorithms. USA: Harper Collins Publishing House, pp. 78-89.
12) Fach, Martin, et. al. (2006). Development of stepped supporting tools for stoichiometric problems. University of Oldenburg, Institute of Pure and Applied Chemistry. Oldenburg, Germany, pp. 156-174.
13) Colley, K.E. (2005). Project-Based Science Instruction: Teaching Science for Understanding. Singapore: John Wiley & Sons Asia, Pte. Inc., pp. 136-154.
14) Sande, Adele (2010). The use of multimodal representations in learning science. Britain:Bloomsbury Publishing House, pp. 70-77.
15) Kautz, Christian H., et. al. (2005). Research on student understanding of the ideal gas law. Department of Physics. University of Washington, pp. 156-188.
16) Liu & Long (2014). Traditional Teaching and Multimedia Teaching Approach in College English Teaching. Singapore: Monsoon Books Pte. Ltd., pp. 137-168.
17) Roediger III, Henry L. and Kathleen MD. Arnold (2012). The One Trial Learning Controversy and Its Aftermath. American Journal of Psychology; 125 (2): 127-143.
18) Fung, et. al. (2004). Teachers facilitatinGg critical thinking in students: the search for a model and a method. University of Auckland, New Zealand, pp. 124-157.
19) Adu-Gyamfi, K. (2013). Lack of Interest in School Science Among Non-Science Students at the Senior High School Level. Vol. 53, pp. 7-21. ICID: 1046364.
20) Miller, Brad & Ranum, David (2013). Problem Solving with Algorithms and Data Structures.USA: Penguin Books, pp. 48-77.
2) Levy, Yair and Ellis, Timothy (2011). A Guide for Novice Researchers on Experimental and Quasi-Experimental Studies in Information Systems Research. Interdisciplinary Journal of Information, Knowledge and Management. Volume 6, 2011, pp. 150-161.
3) Bodner, George M. (2015). The Role of Algorithms in Problem Solving. USA: Mountain Press Publishing Company, pp. 85-97.
4) Schmidt H.-J. and Jignéus C., (2003), Strategies in solving algorithmic stoichiometry problems. Karlstad University, Sweden: Norstedts Publishing House, pp. 305-317.
5) Ertl, Peter (2017). An algorithm to identify functional groups in organic molecules. Journal of Cheminformatics. PMCID: PMC5462667, 96-128.
6) Neria, Dorit & Amit, Miriam (2006). When the wrong answer is the good answer: Problem solving as a means for identifying mathematical promise. Israel: Achiasaf Publishing House, pp. 115-126.
7) Drechsler, M. (2007). Models in chemistry education. Karlstad University, Karlstad, Sweden: B. Wahlstorms Publishing House, pp. 82-97.
8) Gakunga, Daniel K. & Mwikali, Kithungu R. (2015). The Influence of Availability of Computer Facilities in Public and Private Secondary Schools on Students’ Choice of Computer Studies as a Learning Subject in Machakos Sub-County, Kenya. University of Nairobi: Kenya, pp. 206-235.
9) Sukmadinata, N.S. (2012). Metode Penelitian Pendidikan. Bandung: PT Remaja Rosdakarya, pp. 157-168.
10) Leach, J., & Scott, P. (2003). Individual and Sociocultural Views of Learning in Science Education. Kluwer Academic Publishers, pp. 156-208.
11) Cherry, C., et. al. (2017). Bridging semantics and syntax with graph algorithms. USA: Harper Collins Publishing House, pp. 78-89.
12) Fach, Martin, et. al. (2006). Development of stepped supporting tools for stoichiometric problems. University of Oldenburg, Institute of Pure and Applied Chemistry. Oldenburg, Germany, pp. 156-174.
13) Colley, K.E. (2005). Project-Based Science Instruction: Teaching Science for Understanding. Singapore: John Wiley & Sons Asia, Pte. Inc., pp. 136-154.
14) Sande, Adele (2010). The use of multimodal representations in learning science. Britain:Bloomsbury Publishing House, pp. 70-77.
15) Kautz, Christian H., et. al. (2005). Research on student understanding of the ideal gas law. Department of Physics. University of Washington, pp. 156-188.
16) Liu & Long (2014). Traditional Teaching and Multimedia Teaching Approach in College English Teaching. Singapore: Monsoon Books Pte. Ltd., pp. 137-168.
17) Roediger III, Henry L. and Kathleen MD. Arnold (2012). The One Trial Learning Controversy and Its Aftermath. American Journal of Psychology; 125 (2): 127-143.
18) Fung, et. al. (2004). Teachers facilitatinGg critical thinking in students: the search for a model and a method. University of Auckland, New Zealand, pp. 124-157.
19) Adu-Gyamfi, K. (2013). Lack of Interest in School Science Among Non-Science Students at the Senior High School Level. Vol. 53, pp. 7-21. ICID: 1046364.
20) Miller, Brad & Ranum, David (2013). Problem Solving with Algorithms and Data Structures.USA: Penguin Books, pp. 48-77.
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