Replication Data for: Exploring Metacognitive Processes in Calculus Problem-Solving: A Case Study Using GeoGebra

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Mannan, Amirul Mohamad Khairi; Bajuri, Mohd Razip; Abdullah, Norli Anida; Redzuan, Raiha Shazween, 2026, "Replication Data for: Exploring Metacognitive Processes in Calculus Problem-Solving: A Case Study Using GeoGebra", https://doi.org/10.22452/RD/FK5LBY, Universiti Malaya Research Data Repository, V1, UNF:6:e5lBGiXaUtuuCho9BUh88w== [fileUNF]

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Description	This dataset supports the published article “Exploring Metacognitive Processes in Calculus Problem-Solving: A Case Study Using GeoGebra,” published in the Journal of Mathematics Science and Technology Education. The study investigated how a pre-university student engaged in metacognitive processes while solving calculus problems using GeoGebra. The dataset was generated from a qualitative single-case study involving one participant, referred to using the pseudonym “Danny.” The participant completed three calculus problem-solving tasks involving limits, derivatives, function properties, and optimisation. Data were generated through preliminary interview, think-aloud protocol, task-based problem solving, observation, reflection notes, post-interview, written task answers, and coding analysis. The dataset includes research instruments, anonymised qualitative data, coding frameworks, and coded analysis files related to metacognitive processes, problem-solving episodes, tool adaptation, instrumental genesis, and pattern synthesis. The dataset is intended to support transparency, verification, and further understanding of the analytical process reported in the related publication. (2026-07-01)
Subject	Mathematical Sciences; Social Sciences; Other
Keyword	Metacognition; GeoGebra; Calculus Problem-Solving; Mathematics Education; Technology Integration; Think-Aloud Protocol; Problem-Solving Episodes; Tool Adaptation; Instrumental Genesis; Qualitative Case Study
Related Publication	Mannan, A. M. K., Bajuri, M. R., Abdullah, N. A., & Redzuan, R. S. (2025). Exploring metacognitive processes in calculus problem-solving: A case study using GeoGebra. Journal of Mathematics Science and Technology Education, 2(2), 103–115. https://doi.org/10.12973/jmste.2.2.103 doi: 10.12973/jmste.2.2.103
Notes	This publication reports the study for which the deposited files provide supporting and replication data. The dataset includes research instruments, anonymised qualitative data, coding frameworks, and coded analysis used to support the findings reported in the article.
License/Data Use Agreement	CC0 1.0

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	1 to 10 of 23 Files	Original Format Archival Format (.tab) Request Access
	README_Dataset_Guide.txt Plain Text - 5.2 KB Published Jul 9, 2026 0 Downloads MD5: 3f1d7fc2a27a2badd3fb8bf449b62a21 Dataset guide describing the organisation, contents, access conditions, anonymisation statement, related publication, and recommended use of the deposited files.	Access File File Access Public Download Options Plain Text Download Metadata Data File Citation EndNote XML RIS BibTeX
	A1_Preliminary_Interview_Protocol.docx A_Instruments/MS Word - 1.6 MB Published Jul 9, 2026 0 Downloads MD5: 37b15968a027e2942c0a36312cf971db Preliminary interview protocol used to collect background information about the participant’s mathematics learning experience, technology use, and prior experience with GeoGebra.	Access File File Access Public Download Options MS Word Download Metadata Data File Citation EndNote XML RIS BibTeX
	A2_Task_Instructions_for_Student.docx A_Instruments/MS Word - 3.3 MB Published Jul 9, 2026 0 Downloads MD5: 329bbcdd42019da1e53f5a19c2051f94 Student version of the calculus problem-solving task instructions. The file contains the task directions and three calculus problems to be solved using GeoGebra.	Access File File Access Public Download Options MS Word Download Metadata Data File Citation EndNote XML RIS BibTeX
	A3_Task_Instructions_for_Facilitator.docx A_Instruments/MS Word - 3.5 MB Published Jul 9, 2026 0 Downloads MD5: 40f58abd89320270c82ce082f7182182 Facilitator version of the calculus problem-solving task instructions. The file includes the task directions, instructor guidance, and assessment/rubric information for conducting the task session.	Access File File Access Public Download Options MS Word Download Metadata Data File Citation EndNote XML RIS BibTeX
	A4_Think_Aloud_Prompts.docx A_Instruments/MS Word - 1.6 MB Published Jul 9, 2026 0 Downloads MD5: 4f6eb3fea2bde5768785636f1c10aca0 Think-aloud prompt guide used to encourage the participant to verbalise reasoning, strategies, GeoGebra tool use, monitoring, and decision-making during the problem-solving session.	Access File File Access Public Download Options MS Word Download Metadata Data File Citation EndNote XML RIS BibTeX
	A5_Observation_Form.docx A_Instruments/MS Word - 1.7 MB Published Jul 9, 2026 0 Downloads MD5: c879cbee4ca107b84b9ce062e96ec2bc Observation form used by the researcher to record participant behaviours during the GeoGebra-supported calculus problem-solving session, including tool use, problem understanding, self-monitoring, strategy shifts, and other observations.	Access File File Access Public Download Options MS Word Download Metadata Data File Citation EndNote XML RIS BibTeX
	A6_Reflection_Notes_Template.docx A_Instruments/MS Word - 1.6 MB Published Jul 9, 2026 0 Downloads MD5: c1e146995f04a7fd9dfc66682d7e6151 Reflection notes template used to guide the participant’s written reflection after the problem-solving session, focusing on task experience, GeoGebra use, advantages, difficulties, and problem-solving in a technology environment.	Access File File Access Public Download Options MS Word Download Metadata Data File Citation EndNote XML RIS BibTeX
	A7_Post_Interview_Protocol.docx A_Instruments/MS Word - 1.6 MB Published Jul 9, 2026 0 Downloads MD5: 99b15639cf0d5d8435100222fb14379b Post-interview protocol used after the task session to explore the participant’s problem-solving process, including reading, understanding, analysing, exploring, planning, implementing, verifying, and using GeoGebra.	Access File File Access Public Download Options MS Word Download Metadata Data File Citation EndNote XML RIS BibTeX
	B1_Transcript_Participant_Background.docx B_Anonymised_Data/MS Word - 20.3 KB Published Jul 9, 2026 0 Downloads MD5: 673effa6beb42f95559e13a66e661141 Anonymised transcript of the participant background interview. This file contains information about the participant’s mathematics learning experience, prior exposure to calculus, and experience using GeoGebra.	Access File File Access Restricted Request Access Download Metadata Data File Citation EndNote XML RIS BibTeX
	B2_Transcript_Think_Aloud_Protocol.docx B_Anonymised_Data/MS Word - 12.4 MB Published Jul 9, 2026 0 Downloads MD5: 64138c2004eff00eef6c494bd67112a6 Anonymised think-aloud transcript generated during the participant’s GeoGebra-supported calculus problem-solving session. The transcript records the participant’s verbalised reasoning, strategy use, monitoring, decision-making, and interaction with GeoGebra across the tasks.	Access File File Access Restricted Request Access Download Metadata Data File Citation EndNote XML RIS BibTeX

Citation Metadata

Persistent Identifier	doi:10.22452/RD/FK5LBY
Publication Date	2026-07-09
Title	Replication Data for: Exploring Metacognitive Processes in Calculus Problem-Solving: A Case Study Using GeoGebra
Author	Mannan, Amirul Mohamad Khairi (Universiti Malaya) - ORCID: https://orcid.org/0000-0002-6398-0179 Bajuri, Mohd Razip (Universiti Malaya) - ORCID: https://orcid.org/0000-0001-6899-3676 Abdullah, Norli Anida (Universiti Malaya) - ORCID: https://orcid.org/0000-0002-5488-6789 Redzuan, Raiha Shazween (Universiti Malaya) - ORCID: https://orcid.org/0009-0003-3743-0506
Point of Contact	Use email button above to contact. Mannan, Amirul Mohamad Khairi (Universiti Malaya)
Description	This dataset supports the published article “Exploring Metacognitive Processes in Calculus Problem-Solving: A Case Study Using GeoGebra,” published in the Journal of Mathematics Science and Technology Education. The study investigated how a pre-university student engaged in metacognitive processes while solving calculus problems using GeoGebra. The dataset was generated from a qualitative single-case study involving one participant, referred to using the pseudonym “Danny.” The participant completed three calculus problem-solving tasks involving limits, derivatives, function properties, and optimisation. Data were generated through preliminary interview, think-aloud protocol, task-based problem solving, observation, reflection notes, post-interview, written task answers, and coding analysis. The dataset includes research instruments, anonymised qualitative data, coding frameworks, and coded analysis files related to metacognitive processes, problem-solving episodes, tool adaptation, instrumental genesis, and pattern synthesis. The dataset is intended to support transparency, verification, and further understanding of the analytical process reported in the related publication. (2026-07-01)
Subject	Mathematical Sciences; Social Sciences; Other
Keyword	Metacognition; GeoGebra; Calculus Problem-Solving; Mathematics Education; Technology Integration; Think-Aloud Protocol; Problem-Solving Episodes; Tool Adaptation; Instrumental Genesis; Qualitative Case Study
Related Publication	Mannan, A. M. K., Bajuri, M. R., Abdullah, N. A., & Redzuan, R. S. (2025). Exploring metacognitive processes in calculus problem-solving: A case study using GeoGebra. Journal of Mathematics Science and Technology Education, 2(2), 103–115. https://doi.org/10.12973/jmste.2.2.103 doi: 10.12973/jmste.2.2.103 https://doi.org/10.12973/jmste.2.2.103
Notes	This publication reports the study for which the deposited files provide supporting and replication data. The dataset includes research instruments, anonymised qualitative data, coding frameworks, and coded analysis used to support the findings reported in the article.
Language	English
Production Location	Centre for Foundation Studies in Science, Universiti Malaya, Kuala Lumpur, Malaysia
Funding Information	Universiti Malaya Teaching Enrichment Research Grant: UMG006-2024UMTERG
Depositor	Mannan, Amirul Mohamad Khairi
Deposit Date	2026-07-01
Date of Collection	Start Date: 2024-07-01 ; End Date: 2024-07-31
Data Type	Qualitative data; Interview transcripts; Think-aloud transcript; Observation record; Reflection notes; Written task answers; Coding matrices
Software	GeoGebra, Version: Not specified
Data Source	The data were generated from a qualitative single-case study involving one pre-university participant completing three GeoGebra-supported calculus problem-solving tasks. The data sources include preliminary interview, think-aloud protocol, task-based problem-solving session, observation record, reflection notes, post-interview, written task answers, and coded analysis files.
Characteristic of Sources	The sources are primary qualitative research data generated directly from the participant and researcher during the study. The dataset includes anonymised interview and think-aloud transcripts, observation records, reflection notes, written task answers, coding frameworks, and coded analysis matrices. Due to the single-case qualitative design, detailed participant data are provided under restricted access to reduce re-identification risk.
Documentation and Access to Sources	The dataset is documented through a README dataset guide, research instruments, task instructions, coding frameworks, codebook, anonymised data files, and coded analysis files. Public files include the dataset guide, instruments, and coding frameworks. Restricted files include anonymised qualitative data and coded analysis. Access to restricted files may be granted upon reasonable request for non-commercial academic purposes, subject to ethical considerations and approval by the corresponding author.

Dataset Terms

License/Data Use Agreement

Our Community Norms as well as good scientific practices expect that proper credit is given via citation. Please use the data citation shown on the dataset page.

Creative Commons CC0 1.0 Universal Public Domain Dedication. CC0 1.0

Restricted Files + Terms of Access

Restricted Files

There are 10 restricted files in this dataset.

Terms of Access for Restricted Files

This file contains anonymised qualitative data and coded analysis. Access may be granted upon reasonable request for non-commercial academic purposes, subject to ethical considerations and approval by the corresponding author. Users must not attempt to identify the participant or redistribute the data.

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Universiti Malaya Research Data Repository. Public files are openly available through this dataset record. Restricted qualitative data and coded analysis files are available through the repository access request function, subject to approval by the corresponding author.

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The anonymised dataset is archived in the Universiti Malaya Research Data Repository. Original identifiable research data are not publicly deposited and are retained securely by the corresponding author in accordance with ethical and institutional requirements.

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Public supporting files are openly available. Anonymised qualitative data and coded analysis files are restricted due to participant confidentiality and possible re-identification risk in a single-case qualitative study. Access to restricted files may be granted upon reasonable request for non-commercial academic purposes, subject to ethical considerations and approval by the corresponding author.

Contact for Access

Amirul Mohamad Khairi Mannan Universiti Malaya, Malaysia Email: amirulkhairi@um.edu.my

Size of Collection

The dataset consists of two ZIP files: one public ZIP file containing 13 files and one restricted ZIP file containing 10 files. The full collection contains 23 files, including research instruments, coding frameworks, anonymised qualitative data, written task answers, and coded analysis files.

Study Completion

The study has been completed. Data collection was conducted in July 2024, and the related article was published in the Journal of Mathematics Science and Technology Education in 2025. The deposited files represent the final supporting and replication data for the published study.

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Our Community Norms as well as good scientific practices expect that proper credit is given via citation. Please use the data citation shown on the dataset page.

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