亚洲免费av电影一区二区三区,日韩爱爱视频,51精品视频一区二区三区,91视频爱爱,日韩欧美在线播放视频,中文字幕少妇AV,亚洲电影中文字幕,久久久久亚洲av成人网址,久久综合视频网站,国产在线不卡免费播放

        ?

        Student Engagement and Learning Outcomes in Technology-mediated Learning in Shaanxi Province

        2020-08-26 07:42:25陳葉ShadiKafiMallak
        校園英語(yǔ)·中旬 2020年6期
        關(guān)鍵詞:大學(xué)科技

        陳葉?Shadi Kafi Mallak

        【Abstract】This study investigated the impact of subjective task value, self-perceptions, technology use and teaching presence respectively on university students learning outcomes via student engagement in technology-mediated learning (TML) setting. The quantitative empirical research to test the hypothesized relationships was conducted by questionnaire survey on university students who applied technology-mediated learning in Shaanxi province.

        【Key words】pilot study; reliability; validity Preliminary Data Analysis

        【作者簡(jiǎn)介】陳葉,西北政法大學(xué);Shadi Kafi Mallak, 馬來(lái)西亞科技大學(xué)。

        1. Preliminary Data Analysis

        A pilot is of paramount importance to the reliability, validity and practicability of the questionnaire(Cohen et al., 2018). The six panel of experts were chosen from people who had enough experience and expertise on education. These experts offered concrete suggestions for the improvement of the questionnaire. Based on experts opinion, the scale items were subjected to necessary arrangements of alternate wording, terminology, item format and sequencing. In this study, the questionnaire was pilot-tested by 109 undergraduate students in Shaanxi province. The preliminary data analysis is assessed by Cronbach Alpha coefficient, the total correlation coefficients, KMO coefficient, Bartletts test and the factor loading. Results of this preliminary evaluation on each variable show that the scale of each factor achieves the required reliability.

        2. Quality Assessment of Research Data

        The formal questionnaire consists of two parts, one is the survey of demographic variables, the other is the items of 5 scales. The targeted population in this research include university students in Shaanxi province. 530 questionnaires were sent to students by Super Star through Wechat and QQ. After the deletion of the invalid questionnaires from the original dataset, 452 questionnaires were used in the formal analysis. Using the data collected, the reliability and validity of the measurement will be further tested. On this basis, structural equation model analysis and regression analysis are used to test the research hypothesis.

        In this study, the skewness of each measurement item is between - 0.486 and 0.485, while the kurtosis is between - 0.681 and 0.872. A normal distribution of score can be determined by the values of skewness and kurtosis. At this stage, Kline (2015) argues that when the absolute value of skewness is lower than 3 and the absolute value of kurtosis is lower than 10, the sample basically are shaped as normal distribution. Therefore, it shows that the data mainly obey the normal distribution and can be analyzed in the next step.

        As to common method bias, now it is more common to load all measuring latent variables onto a single factor and constrained with no rotation so that the hypothesis that “a single factor explains all the variations” can be tested more accurately (Hair, Black, Babin, Anderson, & Tatham, 1998). In this study, the results of using the Harman single-factor test for survey data shows that the variance explained 38.986% of the total variation, which is less than judgment standard 50% proposed by Hair et al. (1998). Consequently, common method bias does not affect the analysis results.

        3. Assessing Reliability and Validity of Each Variable

        In this study, based on the analysis of the reliability coefficients, the alpha value for all items in the instrument ranged between of 0.799 and 0.897. As alphas is considered to be correct from 0.70, the results in this study indicated the acceptable inter-item correlation. In the formal analysis, confirmatory factor analysis (CFA) has been used to assess and modify the measurement model of a latent construct (Awang, 2012). For confirmatory factor analysis, before interpreting the analysis results, determining the overall consistency of the measurement model first and the sample data through the fitting index is of necessity, that is, the fitness of the model. Generally speaking, fitting index can be divided into three kinds:absolute fit, incremental fit and parsimonious fit. The fitting indexes of the model are all up to the reference standard, indicating that the model has good adaptability.

        4. Correlation Analysis

        Correlation analysis is the premise and foundation of regression analysis and structural equation model analysis as well as the preliminary test of research hypotheses. The correlation coefficients between each variable ranged from 0.009 to 0.754. From Table 4.1, it shows that task value, teaching presence, self-perception and technology use are significantly related to student engagement and learning outcomes.

        5. Conclusion

        The above are the summary of current data analysis process. The pilot study, quality assessment of research data, reliability and validity of each variable and correlation analysis have made a solid foundation for further study.

        Table 4.1

        Descriptive Statistics and Correlation Matrix of All Variables

        1 2 3 4 5 6 7

        1. Task Value 1

        2. Teaching

        Presence .578** 1

        3. Self-Perception .557** .645** 1

        4. Technology Use .342** .478** .570** 1

        5. Student

        Engagement .645** .691** .663** .449** 1

        6. Learning

        Outcomes .625** .729** .754** .577** .710** 1

        7. Self-Discipline .011 -.009 -.061 -.253** .071 -.091 1

        Mean 3.777 3.981 3.890 3.619 3.901 3.877 2.698

        Standard

        Deviation 0.630 0.613 0.565 0.667 0.584 0.614 0.821

        References:

        [1]Cohen, L., Manion, L., & Morrison, K. Research Method in Education[J]. London and New York: Routledge, 2018.

        [2]Kline, R. B. Principles and practice of structural equation modeling: Guilford publications[J]. 2015.

        [3]Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L[J]. Multivariate data analysis (Vol. 5): Prentice hall Upper Saddle River, NJ, 1998.

        猜你喜歡
        大學(xué)科技
        “留白”是個(gè)大學(xué)問(wèn)
        《大學(xué)》征稿簡(jiǎn)則
        大學(xué)(2021年2期)2021-06-11 01:13:48
        《大學(xué)》
        大學(xué)(2021年2期)2021-06-11 01:13:12
        筆中“黑科技”
        48歲的她,跨越千里再讀大學(xué)
        海峽姐妹(2020年12期)2021-01-18 05:53:08
        大學(xué)求學(xué)的遺憾
        科技助我來(lái)看云
        午睡里也有大學(xué)問(wèn)
        科技在線
        科技在線
        男人的天堂手机版av| 狠狠躁狠狠躁东京热无码专区| 亚洲国产剧情一区在线观看| 老岳肥屁熟女四五十路| 久久亚洲av无码精品色午夜 | 人妻少妇精品视频一区二区三区 | 中国老太婆bb无套内射| 欧美性videos高清精品| avtt一区| 一本色道久久亚洲精品| 色综合久久人妻精品日韩| 国产白浆一区二区三区性色| 成人爽a毛片在线视频| 狠狠躁狠狠躁东京热无码专区| 亚洲一区二区在线视频,| 情爱偷拍视频一区二区| 亚洲国产美女精品久久久| 久久国产成人午夜av影院| 亚洲免费一区二区av| 久久婷婷五月综合色丁香| 日产精品久久久久久久蜜臀| 99热高清亚洲无码| 精品人妻久久一日二个| 无码av一区二区大桥久未 | 亚洲AVAv电影AV天堂18禁 | 不卡av网站一区二区三区| 少妇粉嫩小泬喷水视频www| 欧美人妻日韩精品| 成人免费播放片高清在线观看| 亚洲乱码一区二区三区在线观看 | 性感人妻av在线播放| 偷拍一区二区视频播放器| 毛片24种姿势无遮无拦| 无码中文字幕在线DVD| 亚洲一区二区三区在线观看蜜桃| 一本之道久久一区二区三区| 又长又大又粗又硬3p免费视频| 国产精品青草久久久久婷婷| 国产黄片一区二区三区| 东京热久久综合久久88| 日韩精品中文字幕无码专区|