Adaptation of the Student Attitudes Toward Artificial Intelligence Scale to the Turkish Context: Validity and Reliability Study

被引:3
作者
Derinalp, Pelin [1 ]
Ozyurt, Melike [1 ]
机构
[1] Gaziantep Univ, Fac Educ, Gaziantep, Turkiye
关键词
Artificial intelligence; scale adaptation; validity and reliability; secondary and high school students; EDUCATION; VALIDATION;
D O I
10.1080/10447318.2024.2352921
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This study aimed to adapt the Student Attitudes toward Artificial Intelligence (SATAI) Scale to the Turkish Context both at secondary and high school levels. The research was conducted with two study groups: the first group of 384 secondary school students and the second group of 295 high school students. Data were collected from these participants in the 2023-2024 academic year. The scale consists of 26 items and three factors; behavioral, affective, and cognitive, and serves the purpose of measuring the students' attitude toward artificial intelligence. The behavioral factor assesses students' AI-related actions while the affective factor captures their emotional reactions, and the cognitive factor, in turn, evaluates their knowledge of the topic at hand. By determining students' attitudes about AI, this measurement guides learning processes, contributes to the development of teaching materials, and increases interest in the field of AI. Language validity, construct validity, criterion validity, conceptual and experiential equivalence, and reliability studies were carried out in the process of adapting the scale to Turkish. To ensure the language validity of the Turkish form of the scale, translation back translation technique was applied and expert opinions were sought. Confirmatory Factor Analysis (CFA) was applied to test the construct validity. To test the criterion validity, the correlation between the whole scale and each sub-factor was examined. Within the scope of reliability studies, Cronbach Alpha reliability coefficients of the scale, half-test reliability, item total correlations, and item discrimination values were calculated. As a result of the research, it has been determined that the Student Attitudes toward Artificial Intelligence (SATAI) Scale Turkish Form is a valid and reliable assessment tool.
引用
收藏
页码:4653 / 4667
页数:15
相关论文
共 63 条
  • [1] Akdeniz M., 2021, YZNC YL NIVERSITESI, V18, P912, DOI [10.33711/yyuefd.938734, DOI 10.33711/YYUEFD.938734]
  • [2] Akkaya B., 2021, Alanya Academic Review Journal, V5, P1125, DOI [10.29023/alanyaakademik.833668, DOI 10.29023/ALANYAAKADEMIK.833668]
  • [3] Assessment and Evaluation of Different Machine Learning Algorithms for Predicting Student Performance
    Alsariera, Yazan A.
    Baashar, Yahia
    Alkawsi, Gamal
    Mustafa, Abdulsalam
    Alkahtani, Ammar Ahmed
    Ali, Nor'ashikin
    [J]. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022
  • [4] The Moral Machine experiment
    Awad, Edmond
    Dsouza, Sohan
    Kim, Richard
    Schulz, Jonathan
    Henrich, Joseph
    Shariff, Azim
    Bonnefon, Jean-Francois
    Rahwan, Iyad
    [J]. NATURE, 2018, 563 (7729) : 59 - +
  • [5] Bagozzi R.P., 1988, Journal of the Academy of Marketing Science, V16, p74 94, DOI [DOI 10.1007/BF02723327, 10.1007/BF02723327]
  • [6] Prediction of Students Performance Level Using Integrated Approach of ML Algorithms
    Baig M.A.
    Shaikh S.A.
    Khatri K.K.
    Shaikh M.A.
    Khan M.Z.
    Rauf M.A.
    [J]. International Journal of Emerging Technologies in Learning, 2023, 18 (01) : 216 - 234
  • [7] VALIDATING RESEARCH RESULTS WHEN CRONBACHS-ALPHA IS BELOW .70 - A METHODOLOGICAL PROCEDURE
    BERNARDI, RA
    [J]. EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT, 1994, 54 (03) : 766 - 775
  • [9] ALTERNATIVE WAYS OF ASSESSING MODEL FIT
    BROWNE, MW
    CUDECK, R
    [J]. SOCIOLOGICAL METHODS & RESEARCH, 1992, 21 (02) : 230 - 258
  • [10] Bryman A., 2001, QUANTITATIVE DATA AN