A Flexible School and College Level Qualification in Data Science

被引：2

作者：

Farrell, Kate ^{[1
]}

Watts, Jo ^{[2
]}

Robertson, Judy ^{[1
]}

Lawson, Tommy ^{[1
]}

机构：

[1] Univ Edinburgh, Edinburgh, Midlothian, Scotland

[2] Effini, Edinburgh, Midlothian, Scotland

来源：

PROCEEDINGS OF THE 18TH WIPSCE CONFERENCE IN PRIMARY AND SECONDARY COMPUTING EDUCATION RESEARCH, WIPSCE 2023 | 2023年

关键词：

Computer science education; data science; school curriculum;

D O I：

10.1145/3605468.3609769

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This poster abstract describes the design and development of a high school-level qualification in data science. The qualification has been available for 4 years; 1982 learners have completed the course to date across 30 educational institutions. We describe the structure of the course and its pedagogical principles. We conclude with a set of recommendations for other educators who are designing similar qualifications in other school systems.

引用

页数：2

共 6 条

[1] Formative and Summative Assessment in the Classroom [J].

Dixson, Dante D. ;

Worrell, Frank C. .

THEORY INTO PRACTICE, 2016, 55 (02) :153-159

[2] Interdisciplinary Data Education Teaching Primary and Secondary learners how to be data citizens [J].

Farrell, Kate ;

Robertson, Judy .

PROCEEDINGS OF THE 14TH WORKSHOP IN PRIMARY AND SECONDARY COMPUTING EDUCATION (WIPSCE), 2019,

[3]

Farrell Kate, 2020, DATA SCI EDUCATORSGU

[4]

Heinemann Birte, 2018, P 18 KOL CALL INT C, P1

[5]

Lawson T, 2021, Online Learning: Cyber Security and Data Science National Progression Awards

[6]

Mike Koby, 2020, P 20 KOL CALL INT C, P1

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