Application of Biographical Data in Student’s Major Selection

Yuting Wang () and Guandong Song
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Yuting Wang: School of Humanities & Law, Northeastern University, No. 3-11, Wenhua Road, Heping District, Shenyang 110819, China
Guandong Song: School of Humanities & Law, Northeastern University, No. 3-11, Wenhua Road, Heping District, Shenyang 110819, China

Sustainability, 2022, vol. 14, issue 23, 1-13

Abstract: The research studies describe that students utilize Information and Communication Technology (ICT) widely to improve their academic performance. In the classroom, students use ICT assistive technologies via laptops and smartphones for academic and non-academic activities. The ICT tool interactions are applied to developing an effective learning environment that is used to support the student’s learning and understanding in a specific context. The utilization of ICT motivates the students to utilize the technologies in the classroom environment. The ICT training policies help resolve the fundamental issues that students come across, particularly high school students going to college. However, most students do not know enough about their major tendencies and feel lost when deciding on a major. Our study aimed to apply ICT biographical data as a tool for major selection. Based on the rationale of psychometrics and valuable evidence, some studies show that the average high school score is the best predictor of the average college score. The biographical data prediction method is the pre-university life history of students of different majors. Compiling questionnaires takes the college academic performance of students as the studying criterion and weights projects on the biographical data table to develop college students’ biographical information blank and its norm system to provide services for student’s choice of major. Various results show that biographical information blank items are diverse, and the impurity of the content may lead to low internal reliability (α coefficient is usually between 0.60 and 0.80) but a high test–retest validity coefficient (usually between 0 and 0.90). In contrast, its validity has predictive validity because it is independent of each score. Furthermore, since biographical information blanks comprise verifiable and unverifiable items, the ideal subjects answered more reliably because they were accountable for their responses. Studies show that the description of individual life history was moderately associated with the results recorded by the psychologist.

Keywords: Information Communication Technology; assistive technology; ICT training policies; biographical data; biographical information blank; major selection; college student; prediction tools (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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