شماره ركورد :
646637
عنوان مقاله :
اعتباريابي ابزاري براي پيش بيني موفقيت دانشجويان مهندسي در يادگيري الكترونيكي
عنوان فرعي :
Validation of a tool for predicting Iranian engineering student success in elearning
پديد آورندگان :
رستمي نژاد، محمد نويسنده Rostaminejad, mohammad , مزيني، ناصر نويسنده , , دلاور، علي نويسنده delavar, ali , نوروزي، داريوش نويسنده ,
اطلاعات موجودي :
فصلنامه سال 1392 شماره 57
رتبه نشريه :
علمي پژوهشي
تعداد صفحه :
20
از صفحه :
113
تا صفحه :
132
كليدواژه :
ارزيابي مشاركتي , رتبه بندي , كيفيت , Student characteristics , Academic success , اعتبار سنجي , e-Learner , آموزش مهندسي , engineering education , Dropout
چكيده فارسي :
تضمين موفقيت يادگيرنده الكترونيكي دغدغه تمام نظامهاي آموزش الكترونيكي دنياست. عواملي چون فناوري، زيرساخت، محتوا، مدرس و پشتيباني در موفقيت يادگيرنده سهيم اند، اما گفته مي شود مهم تر از همه موارد ياد شده خود يادگيرنده است كه در كانون يادگيري الكترونيكي قرار دارد. هدف اين پژوهش ساخت و اعتباريابي ابزاري براي پيش بيني موفقيت دانشجوي مهندسي در يادگيري الكترونيكي است. در پيشينه پژوهش ابزارهايي چون پيمايش برخط يادگيرنده از راه دور، آزمون موفقيت يادگيري الكترونيكي و آمادگي دانشجويان براي يادگيري برخط بررسي شدند و ساخت ابزاري بومي براي دانشجويان ايراني ضروري تشخيص داده شد. براي اين هدف290 نفر از دانشجويان مهندسي مركز آموزش الكترونيكي دانشگاه علم و صنعت ايران به صورت تصادفي انتخاب شدند. نتايج تحليل عاملي اكتشافي ابزار ساخته شده، يازده عامل را شناسايي كرد كه در مجموع، 62 درصد از واريانس سازه موفقيت يادگيرنده الكترونيكي را تبيين مي كند. پايايي ابزار 84/0 =? به دست آمده. تحليل واريانس، معناداري كل مدل را نشان داد و مدل رگرسيون يازده عاملي 14% از تغييرات معدل ترم اول دانشجويان مهندسي در تحصيل الكترونيكي را تبيين مي كرد. اين ابزار در مقايسه با ساير نمونه هاي خارجي از اعتبار و پايايي مطلوبي برخوردار است و مي تواند در نظامهاي آموزش الكترونيكي براي پيش بيني موفقيت يادگيرنده الكترونيكي به كار رود.
چكيده لاتين :
E-learning systems are developing tremendously all over the world. More than one thousand institute have been accepted this method of teaching and learning parallel with their conventional system. In this rapid development phase, institute encountered with some problem of early attrition, withdraw, failure and dropout. So increasing e-learner success rate is one of the main and common concerns of all e-leaning centers .Although considering technological, infrastructural, content related, teacher and support system factors are undoubtedly very important in this regard, but it is believed that e-learner related factors has also a critical role. The goal of this study is developing and validation of a tools to predict e-learnerʹs success rate. Instrument such as Online Distance Learner Survey (ODLS),Test of Online Learning Success(TOOLS), Tertiary Students’ Readiness for Online Learning(TSROL) were reviewed in the literature. To achieve the goal of the study, all item of the pre mentioned instrument were analyzed. Then a questioner is developed according to the literature and authors experience in IUST e-learning centre. In this step some subscales and items that are not important for e-learner success removed from scale. The initial scale is constructed with 67 items. In the next step 290 e-learners from IUST e-learning center have been selected randomly and asked to describe themselves in reference to a 5-point Likert-type scale, with anchors ranging from 1 (strongly disagree) to 5 (strongly agree). Exploratory factor analysis with varimax rotation where used to study constructs validity of the before mentioned tool. The result revealed that eleven-factor solution with Eignevalue over than one can count 62% variance of e-learner success construct. Iin this stage 24 items where excluded due to lack of factor load in any eleven-factors. Another intention of this study is to test reliability of the developed tool. The reliability of the questionnaire found satisfactory, with a Cronbach alpha of ?=0.84 for the entire set of questioner. Although the developed questionnaire have construct validity and is reliable but the predictive validity has a crucial importance for authors so it is continued with using multiple regression with inter method . The average score of items that is related to each factor were calculated and enterd as a predictor into linear regression. The finding showed that eleven-factor can predict 14% valiance of e-learner GPA in our sample. Comparing this tool with others, it shows that it is reliable and has predictive validity that can be used for Iranian engineering education institute. Finally the paper conclude findings and present some recommendation to use this toll effectively.
سال انتشار :
1392
عنوان نشريه :
آموزش مهندسي ايران
عنوان نشريه :
آموزش مهندسي ايران
اطلاعات موجودي :
فصلنامه با شماره پیاپی 57 سال 1392
كلمات كليدي :
#تست#آزمون###امتحان
لينک به اين مدرک :
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