Eğitim Bilimleri Fakültesi / Faculty of Education
Permanent URI for this collectionhttps://hdl.handle.net/11727/2116
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Item An Explanatory Item Response Theory Approach for a Computer-Based Case Simulation Test(2014) Kahraman, Nilufer; S-9457-2018Problem: Practitioners working with multiple-choice tests have long utilized Item Response Theory (IRT) models to evaluate the performance of test items for quality assurance. The use of similar applications for performance tests, however, is often encumbered due to the challenges encountered in working with complicated data sets in which local calibrations alone provide a poor model fit. Purpose: The purpose of this study was to investigate whether the item calibration process for a performance test, computer-based case simulations (CCS), taken from the United States Medical Licensing Examination((R)) (USMLE (R)) Step 3((R)) examination may be improved through explanatory IRT models. It was hypothesized that explanatory IRT may help improve data modeling for performance assessment tests by allowing important predictors to be added to a conventional IRT model, which are limited to item predictors alone. Methods: The responses of 767 examinees from a six-item CCS test were modeled using the Partial Credit Model (PCM) and four explanatory model extensions, each incorporating one predictor variable of interest. Predictor variables were the examinees' gender, the order in which examinees encountered an individual item ( item sequence), the time it took each examinee to respond to each item ( response time), and examinees' ability score on the multiple-choice part of the examination. Results: Results demonstrate a superior model fit for the explanatory PCM with examinee ability score from the multiple-choice portion of Step 3. Explanatory IRT model extensions might prove useful in complex performance assessment test settings where item calibrations are often problematic due to short tests and small samples. Recommendations: Findings of this study have great value in practice and implications for researchers working with small or complicated response data. Explanatory IRT methodology not only provides a way to improve data modeling for performance assessment tests but also enhances the inferences made by allowing important person predictors to be incorporated into a conventional IRT model.Item The Effects of Teaching Programming via Scratch on Problem Solving Skills: A Discussion from Learners' Perspective(2014) Kalelioglu, Filiz; Gulbahar, Yasemin; 0000-0002-7729-5674; AAF-8110-2019Computer programming is perceived as an important competence for the development of problem solving skills in addition to logical reasoning. Hence, its integration throughout all educational levels, as well as the early ages, is considered valuable and research studies are carried out to explore the phenomenon in more detail. In light of these facts, this study is an exploratory effort to investigate the effect of Scratch programming on 5th grade primary school students' problem solving skills. Moreover, the researchers wondered what 5th grade primary school students think about programming. This study was carried out in an explanatory sequential mixed methods design with the participation of 49 primary school students. According to the quantitative results, programming in Scratch platform did not cause any significant differences in the problem solving skills of the primary school students. There is only a non-significant increase in the mean of the factor of "self-confidence in their problem solving ability". When the thoughts of the primary students were considered, it can be clearly stated that all the students liked programming and wanted to improve their programming. Finally, most of the students found the Scratch platform easy to use.Item Some Identities for Fibonacci and Incomplete Fibonacci p-Numbers via the Symmetric Matrix Method(2014) Firengiz, M. Cetin; Tasci, Dursun; Tuglu, Naim; 0000-0002-9588-0295; HNQ-9215-2023We obtain some new formulas for the Fibonacci and Lucas p-numbers, by using the symmetric infinite matrix method. We also give some results for the Fibonacci and Lucas p-numbers by means of the binomial inverse pairing.Item Generalized Euler-Seidel Method for Second Order Recurrence Relations(2014) Firengiz, M. Cetin; Dil, A.; 0000-0002-9588-0295; C-4040-2012; HNQ-9215-2023We obtain identities for the generalized second order recurrence relation by using the generalized Euler-Seidel matrix with parameters x, y. As a consequence, we give some properties and generating functions of well-known special integer sequences.Item The Paragogy of Adaptation in an EFL Context(2014) Raw, LaurenceItem Are the Photosynthetic Performance Indexes and the Drought Factor Index Satisfactory Selection Criterion for Stress?(2015) Cicek, Nuran; Arslan, Ozlem; Culha-Erdal, Sekure; Eyidogan, Fusun; Ekmekci, Yasemin; ACA-9644-2022This study was conducted to assess the drought stress and the recovery responses of twenty one chickpea cultivars (Cicer arietinum L.) grown in Turkey. 20-day-old seedlings were subjected to mild drought conditions for 7 days, recovery period of 3 days followed. Then a moderate stress period of 10 days was applied, followed by recovery period of 4 days. Finally, severe stress period of 13 days was applied, followed by recovery period of 5 days. Drought stress treatments were observed to have an adverse effect on photosynthetic efficiency, but also malondialdehyde, total chlorophyll (app. half of cultivars) and carotenoid contents of leaf tissue have increased when compared with their controls. 21 chickpea cultivars were classified into four groups; highly tolerant, tolerant, less tolerant and sensitive, according to the drought factor index (DFI), the values calculated by photosynthetic performance index (PItotal). Only four cultivars recovered from severe drought stress conditions. Aziziye and Diyar 95 cultivars may be suggested to be cultivated in drought-prone areas. In general, the present results indicate that: 1. PItotal and DFI are very satisfactory selection criterion for drought stress. 2. The recovery processes of plants exposed to environmental constraints should be investigated to make the right selection.Item Cyprus Past, Present, and Future: The Dervis Zaim Trilogy(2015) Raw, LaurenceItem Investigation of Dispositional and State Hope Levels' Relations with Student Subjective Well-Being(2015) Demirli, Aylin; Turkmen, Mustafa; Arik, Recep Serkan; 0000-0002-9561-603X; V-3507-2017The present study investigates the relation between dispositional and state hope levels and student well-being in the context of causality by model analysis. Eight hundred and eighty-one students (653 females, 228 males) from different departments of five universities (Ankara, Canakkale Onsekiz Mart, DumlupA +/- nar, BaAYkent, Maltepe) in different regions of Turkey participated in the study. Participants were administered a demographic questionnaire as well as Turkish versions of the State Hope Scale, Dispositional Hope Scale, Scales of Positive and Negative Experience, and Flourishing Scale. The results indicated that model 1, which was designed to investigate the direct effect of dispositional and state hope on the subjective well-being of students, showed a good fit. Correspondingly, model 2, which was designed to investigate the relation between hope and subjective well-being with additional variables (such as gender, age, accommodation, income, physical handicap, health problems, being in a relationship, satisfaction of friendship) also showed a good fit with the variables.Item Immaterial Culture: Literature, Drama and the American Radio Play 1929-1954(2015) Raw, LaurenceItem Istanbul of the Mind(2015) Raw, Laurence