Abstract

Besides various in-class assessments, there exist some standardized assessment tools that are administered in several countries, such as PISA (Programme for International Student Assessment) and TIMMS (Trends in International Mathematics and Science Study). The questions’ contents, type of responding, grading, and the analyses in these large-scale tests have been diversified in years. In this study, it was aimed to identify the abilities that are measured at PISA mathematics test in a single testing procedure and by utilizing the methods of analyses of Cognitive Diagnostic Model (CDM) as well as Signal Detection Theory (SDT), which have not been used so far in the assessment of these abilities. Therefore, a randomly selected sample of 6th-grade students ( N =230) in Izmir was tested with a PISA-equivalent 12-item mathematics test, where the items are graded dichotomously (correct vs. incorrect). CDM estimates were calculated by using the Deterministic Input Noisy Output and Gate (DINA) Model. The participants were asked to report whether they thought they could solve the question correctly, guess even if they thought they could not solve the question, and then, rate their confidence levels on the correctness of their answers in turn so as to allow us to measure their “metacognitive monitoring performance” with the SDT method, which refers to the ability to differentiate correct and incorrect responses. In short, a better metacognitive monitoring performance was obtained by measuring how well once could differentiate their correct and incorrect responses with the observation of they prefer reporting and then giving high confidence levels to the actually correct responses and prefer passing to give an answer yet rate lower confidence levels to the actually incorrect responses given as pure guesses. The results showed that CDM fits well to the assessment of PISA test and those who were better at the ability of “reasoning and developing strategies” in particular among four possible abilities detected with CDM (“representing and communicating”, “mathematization”, “reasoning and developing strategies”, “using symbolic and technical language”) had also better metacognitive monitoring performance. The present study, therefore, contributes to the research that investigates what features the ability of better differentiating correct and incorrect responses are actually linked. Based on the results, it is suggested that a better metacognitive monitoring ability is linked to having a better ability of “reasoning and developing strategies” in particular. Additionally, it is suggested that measuring metacognitive monitoring performance at PISA -or even any other possible tests- with the SDT calculation method, that has a relatively straightforward testing procedure, may yield various estimates for the students’ abilities measured at the test as well as their related higher-order abilities.

Highlights

  • Öğrencilerin matematik becerilerinin belirlenmesinde, diğer birçok sınıf içi değerlendirmenin yanında, PISA (Uluslararası Değerlendirme Programı) ve TIMMS (Uluslararası Matematik ve Fen Eğilimleri Araştırması) gibi çeşitli ülkelerde standart olarak kullanılan ölçme araçları bulunmaktadır

  • computational methods that may be useful for cognitively-relevant assessment

  • Journal of Cognitive Education and Psychology, 12(3), 391408

Read more

Summary

Eğitim ve Bilim

Üstbilişsel İzleme ve Matematiksel Yeterlilikler: Bilişsel Tanı Modeli ve Sinyal Tespit Kuramı Yaklaşımı *. PISA matematik testine ait becerilerin değerlendirmesinde daha önceden kullanılmamış olan Bilişsel Tanı Modeli (BTM) ve Sinyal Tespit Kuramı’na (STK) ait analiz yöntemleri birlikte kullanılarak bu becerilerin tek bir test prosedürü içinde belirlenmesi amaçlanmıştır. Sınıf öğrencilerine (N=230), PISA matematik testi eşdeğerliğinde farklı madde formatlarının kullanıldığı (çoktan seçmeli, doğru yanlış, kısa cevaplı) ve doğru/yanlış olarak dikatomik şekilde puanlanan 12 sorudan oluşan bir matematik testi uygulanmıştır. Üstbilişsel izleme performansı, özetle, katılımcıların gerçekte doğru olan yanıtlarında soruyu yanıtlayabileceğini seçip yüksek eminlik düzeyleri vermesi, yanlış olan yanıtlarında ise soruyu yanıtlayabileceğini düşünmemesini ve tahminleri için düşük eminlik düzeyleri vermesiyle, yanıtlarının doğru ve yanlış olarak ayrımını ne kadar iyi yapabildiğinin puanlanmasıyla elde edilmiştir. PISA testinin BTM yöntemine iyi uyum sağladığını göstermiş ve BTM yöntemiyle belirlenen dört temel

Makale Hakkında
Tahmin standart hata
Ortalama doğru sayısı
Sembolik ve Teknik Dil
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.