Vol. 21 No. 2 (2022): SPECIAL ISSUE: RESEARCH ON DATA SCIENCE EDUCATION

DOI: https://doi.org/10.52041/serj.v21i2

Published: 2022-07-04

Editorial

EDITORIAL: RESEARCH ON DATA SCIENCE EDUCATION

ROLF BIEHLER, RICHARD DE VEAUX, JOACHIM ENGEL, SIBEL KAZAK, DANIEL FRISCHEMEIER

Article 1
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Special Issue on Data Science

TOWARD HOLISTIC DATA SCIENCE EDUCATION

RICHARD DE VEAUX, ROGER HOERL, RON SNEE, PAUL VELLEMAN

Article 2
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INVESTIGATING DATA LIKE A DATA SCIENTIST: KEY PRACTICES AND PROCESSES

HOLLYLYNNE LEE, GEMMA MOJICA, EMILY THRASHER, PETER BAUMGARTNER

Article 3
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The 5Ws AND 1H OF TERM PROJECTS IN THE INTRODUCTORY DATA SCIENCE CLASSROOM

MINE CETINKAYA-RUNDEL, MINE DOGUCU, WENDY RUMMERFIELD

Article 4
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“I LOVE MATH ONLY IF IT'S CODING”: A CASE STUDY OF STUDENT EXPERIENCES IN AN INTRODUCTION TO DATA SCIENCE COURSE

ERICA HEINZMAN

Article 5
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A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING

SUSANNE PODWORNY, SVEN HÜSING, CARSTEN SCHULTE

Article 6
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TEACHING AND LEARNING DATA-DRIVEN MACHINE LEARNING WITH EDUCATIONALLY DESIGNED JUPYTER NOTEBOOKS

YANNIK FLEISCHER, ROLF BIEHLER, CARSTEN SCHULTE

Article 7
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INTRODUCING HIGH SCHOOL STATISTICS TEACHERS TO PREDICTIVE MODELLING AND APIs USING CODE-DRIVEN TOOLS

ANNA FERGUSSON, MAXINE PFANNKUCH

Article 8
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INTEGRATING THE HUMANITIES INTO DATA SCIENCE EDUCATION

ERIC A. VANCE, DAVID R. GLIMP, NATHAN D. PIEPLOW, JANE M. GARRITY, BRETT A. MELBOURNE

Article 9
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MACHINE LEARNING FOR NON-MAJORS: A WHITE BOX APPROACH

KOBY MIKE, ORIT HAZZAN

Article 10
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DATA SCIENTISTS’ EPISTEMIC THINKING FOR CREATING AND INTERPRETING VISUALIZATIONS

CHARLOTTE BOLCH, KENT CRIPPEN

Article 11
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WORK INTEGRATED LEARNING IN DATA SCIENCE AND A PROPOSED ASSESSMENT FRAMEWORK

AYSE AYSIN BOMBACI BILGIN , ANGELA POWELL, DEBORAH RICHARDS

Article 12
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Vol. 21 No. 2 (2022): SPECIAL ISSUE: RESEARCH ON DATA SCIENCE EDUCATION

Editorial

EDITORIAL: RESEARCH ON DATA SCIENCE EDUCATION

Special Issue on Data Science

TOWARD HOLISTIC DATA SCIENCE EDUCATION

INVESTIGATING DATA LIKE A DATA SCIENTIST: KEY PRACTICES AND PROCESSES

The 5Ws AND 1H OF TERM PROJECTS IN THE INTRODUCTORY DATA SCIENCE CLASSROOM

“I LOVE MATH ONLY IF IT'S CODING”: A CASE STUDY OF STUDENT EXPERIENCES IN AN INTRODUCTION TO DATA SCIENCE COURSE

A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING

TEACHING AND LEARNING DATA-DRIVEN MACHINE LEARNING WITH EDUCATIONALLY DESIGNED JUPYTER NOTEBOOKS

INTRODUCING HIGH SCHOOL STATISTICS TEACHERS TO PREDICTIVE MODELLING AND APIs USING CODE-DRIVEN TOOLS

INTEGRATING THE HUMANITIES INTO DATA SCIENCE EDUCATION

MACHINE LEARNING FOR NON-MAJORS: A WHITE BOX APPROACH

DATA SCIENTISTS’ EPISTEMIC THINKING FOR CREATING AND INTERPRETING VISUALIZATIONS

WORK INTEGRATED LEARNING IN DATA SCIENCE AND A PROPOSED ASSESSMENT FRAMEWORK

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