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Examining Some of Students' Challenges and Use of Algorithmic Problem-Solving Approaches in Electrochemical Titrations

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Title: Examining Some of Students' Challenges and Use of Algorithmic Problem-Solving Approaches in Electrochemical Titrations
Language: English
Authors: Salame, Issa I., Etwaroo, Nicole, Khalil, Ali, Kolozian, Tiffani
Source: International Journal of Instruction. Jul 2022 15(3):465-482.
Availability: Gate Association for Teaching and Education. e-mail: iji@ogu.edu.tr; Web site: http://e-iji.net/
Peer Reviewed: Y
Page Count: 18
Publication Date: 2022
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Mathematics Skills, Problem Solving, Urban Schools, Minority Group Students, College Students, Chemistry, Science Instruction, Minority Serving Institutions, Scientific Concepts, Concept Formation, Barriers, Animation
Geographic Terms: New York (New York)
ISSN: 1694-609X
1308-1470
Abstract: Redox titration problems are considered difficult for students to learn due to their abstract nature, the myriad amount of representations, and the mathematical competency required to learn and solve. The goal of this research project is to examine challenges students face in learning about redox titration-related problems, approaches they use in learning about electrochemical titration problems, and reliance on algorithmic problem-solving instead of conceptual understanding in solving these problems. The research project took place at the City College of New York, which is an urban, minority serving, and public institution. The research instrument used in this research investigation is a survey comprised of Likert-type and open-ended questions. The number of research participants is n = 184. The data was collected and analyzed and histograms and figures were made based on the data analysis. A single factor ANOVA method was performed on the Likert-type questions which showed evidence against the null hypothesis and that shows a strong relationship between variables. The data indicate that the principal barrier to learning about redox titration related problems is that students' reliance on algorithmic problems solving, rote learning, and mathematical approaches. Students' dependence on rote learning and memorization in problem solving could be attributed to the lack of well-developed understanding of the concepts. The investigation shows that students focus on surface features in learning and this translates to hindrance of knowledge transfer.
Abstractor: As Provided
Entry Date: 2022
Accession Number: EJ1355458
Database: ERIC
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  Data: Redox titration problems are considered difficult for students to learn due to their abstract nature, the myriad amount of representations, and the mathematical competency required to learn and solve. The goal of this research project is to examine challenges students face in learning about redox titration-related problems, approaches they use in learning about electrochemical titration problems, and reliance on algorithmic problem-solving instead of conceptual understanding in solving these problems. The research project took place at the City College of New York, which is an urban, minority serving, and public institution. The research instrument used in this research investigation is a survey comprised of Likert-type and open-ended questions. The number of research participants is n = 184. The data was collected and analyzed and histograms and figures were made based on the data analysis. A single factor ANOVA method was performed on the Likert-type questions which showed evidence against the null hypothesis and that shows a strong relationship between variables. The data indicate that the principal barrier to learning about redox titration related problems is that students' reliance on algorithmic problems solving, rote learning, and mathematical approaches. Students' dependence on rote learning and memorization in problem solving could be attributed to the lack of well-developed understanding of the concepts. The investigation shows that students focus on surface features in learning and this translates to hindrance of knowledge transfer.
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    Languages:
      – Text: English
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    Subjects:
      – SubjectFull: Mathematics Skills
        Type: general
      – SubjectFull: Problem Solving
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      – SubjectFull: Urban Schools
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      – TitleFull: Examining Some of Students' Challenges and Use of Algorithmic Problem-Solving Approaches in Electrochemical Titrations
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