Doctor of Philosophy in Teacher Education and Learning Sciences- Learning, Design, and Technology
国际学生入学条件
Two official* copies of all undergraduate and graduate transcripts, including any non-degree studies (NDS) at NC State * (Unofficial transcripts are accepted for application review purposes, but we require official ones before an admitted student can begin graduate studies.)
Because of the ongoing COVID-19 pandemic and related health, economic, and social challenges, GRE test scores are waived for applicants applying for all graduate programs in the College of Education for the 2021-2022 admissions cycle. Academic writing sample
Description of research interests
Three (3) letters of reference
IELTS Academic-6.5 or higher (minimum of 6.5 in each sub score), Provide Test of English as a Foreign Language (TOEFL) with a total score of at least 80 on the Internet-based Test (iBT), and with minimum test scores for each section of: Listening 18 points, Reading 18 points, Writing 18 points, Speaking 18 points – for admission , Toefl paper-based test requires a score of 550 or higher (with scores of 50 on at least two of the three sections and no section score below 45).
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IDP—雅思考试联合主办方
雅思考试总分
6.5
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- 雅思总分：6.5
- 托福网考总分：80
- 托福笔试总分：550
- 其他语言考试：Duolingo with a total score of 110 or better.
课程简介
Design and study technology-enhanced instruction, learning materials, and educational programs for varied settings (K-12, higher education, business, non-profit, government, military) as informed by the learning sciences. Our research is guided by cognitive, social and/or cultural theories of learning and by the existing body of research informing how people learn in specific disciplines and professional settings. The field at large along with individual programs of research are influenced by educational technology and psychology, cognitive science, instructional design, communications/message design, graphic design, computer science, adult workforce training, human factors and anthropology. Students will utilize quantitative, qualitative or mixed methods, along with emerging methods applicable to the study of contemporary learning environments (e.g., design-based research, learning analytics).
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