Precision diagnosis in virtual learning contexts: a predict-observe-explain-diagnose-based approach to scientific inquiry.

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Title: Precision diagnosis in virtual learning contexts: a predict-observe-explain-diagnose-based approach to scientific inquiry.
Authors: Chen, Kuan-Fu (AUTHOR), Hwang, Gwo-Jen (AUTHOR), Chen, Mei-Rong Alice (AUTHOR)
Source: Educational Technology Research & Development. Dec2025, Vol. 73 Issue 6, p3569-3596. 28p.
Subjects: Virtual reality, Inquiry-based learning, Diagnosis, Scientific method, Common misconceptions, Virtual classrooms, Academic achievement
Abstract: Virtual reality (VR) has been widely adopted in natural science education for learners to engage in inquiry-based learning in a safe and immersive environment. Also, the Predict-Observe-Explain-Evaluate (POEE) strategy is often used in inquiry-based activities to guide learners to understand and delve into their acquired knowledge during the inquiry process. However, the evaluation phase in conventional inquiry-based activities only provides feedback and solutions based on learners' answers to the learning questions. Researchers have pointed out that without analysis and feedback on learners' misconceptions, the learning effects of inquiry-based learning activities may be worse than expected. As a result, the present study proposed a Predict-Observe-Explain-Diagnose (POED)-based VR approach which could diagnose misconceptions and provide guidance. In VR learning activities, in addition to judging whether students' answers are based on accurate reasons, it is helpful to further diagnose the possible misconceptions due to their wrong judgments so as to provide learning guidance. To explore the effectiveness of the proposed approach, the present study adopted a quasi-experimental design and recruited two classes of eighth graders as participants. One class was the experimental group adopting the POED-based VR approach, while the other class was the control group adopting the conventional POEE-based VR approach. The results showed that the experimental group had significantly better performance in learning achievement, problem-solving tendency, critical thinking tendency, and metacognition tendency than the control group. Besides, based on the behavioral analysis results, the POED-based VR approach could help students better understand their own misconceptions in learning, and then have more learning behaviors of reading supplementary materials, which was conducive to constructing accurate knowledge and improving learning performance. [ABSTRACT FROM AUTHOR]
Copyright of Educational Technology Research & Development is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Precision diagnosis in virtual learning contexts: a predict-observe-explain-diagnose-based approach to scientific inquiry.
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  Data: <searchLink fieldCode="JN" term="%22Educational+Technology+Research+%26+Development%22">Educational Technology Research & Development</searchLink>. Dec2025, Vol. 73 Issue 6, p3569-3596. 28p.
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  Data: <searchLink fieldCode="DE" term="%22Virtual+reality%22">Virtual reality</searchLink><br /><searchLink fieldCode="DE" term="%22Inquiry-based+learning%22">Inquiry-based learning</searchLink><br /><searchLink fieldCode="DE" term="%22Diagnosis%22">Diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22Scientific+method%22">Scientific method</searchLink><br /><searchLink fieldCode="DE" term="%22Common+misconceptions%22">Common misconceptions</searchLink><br /><searchLink fieldCode="DE" term="%22Virtual+classrooms%22">Virtual classrooms</searchLink><br /><searchLink fieldCode="DE" term="%22Academic+achievement%22">Academic achievement</searchLink>
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  Data: Virtual reality (VR) has been widely adopted in natural science education for learners to engage in inquiry-based learning in a safe and immersive environment. Also, the Predict-Observe-Explain-Evaluate (POEE) strategy is often used in inquiry-based activities to guide learners to understand and delve into their acquired knowledge during the inquiry process. However, the evaluation phase in conventional inquiry-based activities only provides feedback and solutions based on learners' answers to the learning questions. Researchers have pointed out that without analysis and feedback on learners' misconceptions, the learning effects of inquiry-based learning activities may be worse than expected. As a result, the present study proposed a Predict-Observe-Explain-Diagnose (POED)-based VR approach which could diagnose misconceptions and provide guidance. In VR learning activities, in addition to judging whether students' answers are based on accurate reasons, it is helpful to further diagnose the possible misconceptions due to their wrong judgments so as to provide learning guidance. To explore the effectiveness of the proposed approach, the present study adopted a quasi-experimental design and recruited two classes of eighth graders as participants. One class was the experimental group adopting the POED-based VR approach, while the other class was the control group adopting the conventional POEE-based VR approach. The results showed that the experimental group had significantly better performance in learning achievement, problem-solving tendency, critical thinking tendency, and metacognition tendency than the control group. Besides, based on the behavioral analysis results, the POED-based VR approach could help students better understand their own misconceptions in learning, and then have more learning behaviors of reading supplementary materials, which was conducive to constructing accurate knowledge and improving learning performance. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Educational Technology Research & Development is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s11423-025-10527-5
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      – SubjectFull: Diagnosis
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      – TitleFull: Precision diagnosis in virtual learning contexts: a predict-observe-explain-diagnose-based approach to scientific inquiry.
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              M: 12
              Text: Dec2025
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