{
    "article_id": 843,
    "public_id": "e12907cc-ea00-4aaa-8783-16e5af3e43c6",
    "internal_identifier": null,
    "source_identifier": "39:208",
    "status": "published",
    "type": "research_article",
    "title": "İlköğretim Matematik Öğretmeni Adaylarının Sayı Öğretme Bilgilerini Yordayan Değişkenler",
    "title_secondary": null,
    "abstract": "Bu çalışmada 20 farklı Türk üniversitesinde okuyan birinci sınıf ilköğretim matematik öğretmeni adaylarının sayı\r\nöğretme bilgilerinin çeşitli demografik değişkenler tarafından nasıl yordandığı araştırılmıştır. Veriler birinci sınıfın hemen\r\nbaşında, Aydın [1] tarafından türkçe uyarlanmış ve geçerli ve güvenirliği yapılmış TEDS-M matematik öğretme bilgisi soruları\r\nve demografik bilgiler anketi kullanılarak toplanmıştır. Demografik bilgiler anketinde cinsiyet, yaş, anne ve baba eğitim\r\ndurumu, lisedeki genel not düzeyi gibi çok sayıda değişken hakkında sorular sorulmuştur. Çalışmaya gönüllü olarak 20 farklı\r\nüniversiteden 721 birinci sınıf ilköğretim matematik öğretmeni adayı katılmıştır. Verilerin analizinde çoklu doğrusal regresyon\r\nkullanılmıştır. Çalışma bulgularına göre öğretmen adaylarının sayı öğretme bilgilerinin orta düzeyde olduğu ve bu bilgi\r\ndüzeylerinin sadece öğretmen adaylarının evlerinde bulunan araç gereç sayısı ve eğitim hayatlarında karşılaştıkları engellerin\r\nbulunması tarafından yordandığı görülmüştür. Çalışma sonucunda evlerde bulunan araç gereç nicelik ve niteliğinin, ayrıca\r\nöğretmen adaylarının eğitim hayatlarını ne kadar zorlukla tamamladıklarının nasıl belirleneceği ve iyileştirileceği tartışılarak\r\nbazı önerilerde bulunulmuştur.  ",
    "language": "tr",
    "english_title": "Variables Predicting the Number Teaching Knowledge of Prospective Primary School Mathematics Teachers",
    "english_abstract": "This study investigated how the number teaching knowledge of first-year primary school mathematics teacher candidates studying at 20 different Turkish universities is predicted by various demographic variables. Data were collected at the very beginning of the first year using TEDS-M mathematics teaching knowledge questions, adapted into Turkish by Aydın [1] and validated for reliability, and a demographic information questionnaire. The demographic information questionnaire included questions about numerous variables such as gender, age, mother's and father's education level, and general grade point average in high school. 721 first-year primary school mathematics teacher candidates from 20 different universities voluntarily participated in the study. Multiple linear regression was used in the analysis of the data. According to the study findings, it was observed that the number teaching knowledge of the teacher candidates was at a moderate level and that this knowledge level was predicted only by the number of tools and equipment in the teacher candidates' homes and the obstacles they encountered in their educational lives. As a result of the study, the quantity and quality of the equipment found in homes, as well as how difficult it is for prospective teachers to complete their education, were discussed, and some suggestions were made regarding how to determine and improve this.",
    "doi": null,
    "doi_url": null,
    "resource_url": "https://www.set-science.com/a/e12907cc-ea00-4aaa-8783-16e5af3e43c6",
    "pdf_url": "https://www.set-science.com/a/e12907cc-ea00-4aaa-8783-16e5af3e43c6/pdf",
    "og_image": "https://www.set-science.com/assets/img/og-card-v2.png",
    "authors": [
        {
            "public_id": "f07edd91-ea1b-463b-873e-ad3e728d8d6f",
            "given": "Serhat",
            "family": "Aydın",
            "full": "Serhat Aydın",
            "literal": null,
            "orcid": null,
            "orcid_url": null,
            "email": "saydins@kmu.edu.tr",
            "corresponding": true,
            "sequence": "first",
            "affiliations": [
                {
                    "name": "Karamanoğlu Mehmetbey Üniversity",
                    "department": null,
                    "country": null,
                    "country_code": null,
                    "ror": null,
                    "ror_url": null
                }
            ]
        }
    ],
    "keywords": [],
    "translations": [
        {
            "language": "en",
            "title": "Variables Predicting the Number Teaching Knowledge of Prospective Primary School Mathematics Teachers",
            "abstract": "This study investigated how the number teaching knowledge of first-year primary school mathematics teacher candidates studying at 20 different Turkish universities is predicted by various demographic variables. Data were collected at the very beginning of the first year using TEDS-M mathematics teaching knowledge questions, adapted into Turkish by Aydın [1] and validated for reliability, and a demographic information questionnaire. The demographic information questionnaire included questions about numerous variables such as gender, age, mother's and father's education level, and general grade point average in high school. 721 first-year primary school mathematics teacher candidates from 20 different universities voluntarily participated in the study. Multiple linear regression was used in the analysis of the data. According to the study findings, it was observed that the number teaching knowledge of the teacher candidates was at a moderate level and that this knowledge level was predicted only by the number of tools and equipment in the teacher candidates' homes and the obstacles they encountered in their educational lives. As a result of the study, the quantity and quality of the equipment found in homes, as well as how difficult it is for prospective teachers to complete their education, were discussed, and some suggestions were made regarding how to determine and improve this.",
            "keywords": [
                "Sayı Öğretme Bilgisi, İlköğretim Matematik Öğretmeni Adayı, Çoklu Doğrusal Regresyon"
            ]
        }
    ],
    "subjects": [],
    "subject_names": [],
    "published_date": "2018-12-31",
    "published_year": "2018",
    "received_date": null,
    "accepted_date": null,
    "volume": "3",
    "issue": null,
    "page_first": "1080",
    "page_last": "1082",
    "article_number": null,
    "conference": {
        "short_name": "ISAS2018-Winter",
        "full_title": "2nd International Symposium on Innovative Approaches in Scientific Studies",
        "name": "2nd International Symposium on Innovative Approaches in Scientific Studies",
        "acronym": "ISAS2018-Winter",
        "location": "Samsun, Türkiye",
        "start_date": "2018-11-30",
        "end_date": null,
        "public_id": "b8a703cc-09f7-4d5b-ae60-eb31a1050720"
    },
    "proceedings": {
        "title": "2nd International Symposium on Innovative Approaches in Scientific Studies",
        "series_title": "Setsci conference indexing system",
        "publisher": "SET Technology",
        "isbn": null,
        "eisbn": null,
        "issn": "2618-6446",
        "eissn": null,
        "doi": null,
        "doi_prefix": null,
        "slug": "setsci-volume-3-2018-legacy-39",
        "public_id": "641f522e-9cf0-4c89-be17-c6037f3d1bca",
        "url": "https://www.set-science.com/p/setsci-volume-3-2018-legacy-39"
    },
    "license": {
        "name": "CC BY 4.0",
        "url": "https://creativecommons.org/licenses/by/4.0/",
        "code": "CC-BY-4.0",
        "open_access": true
    },
    "copyright": {
        "holder": "SET Technology",
        "year": "2018"
    },
    "funding_statement": null,
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    "history": {
        "published": "2018-12-31"
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}