SHEILA Policy Framework: Informing Institutional Strategies and Policy Processes of Learning Analytics

被引：32

作者：

Tsai, Yi-Shan ^{[1
]}

Manuel Moreno-Marcos, Pedro ^{[2
]}

Tammets, Kairit ^{[3
]}

Kollom, Kaire ^{[3
]}

Gasevic, Dragan ^{[1
,4
]}

机构：

[1] Univ Edinburgh, Old Coll, Edinburgh EH8 9YL, Midlothian, Scotland

[2] Univ Carlos III Madrid, Ave Univ 30, Madrid 28911, Spain

[3] Tallinn Univ, Narva Mnt 25, EE-10120 Tallinn, Estonia

[4] Monash Univ, Scenic Blvd, Clayton, Vic 3800, Australia

来源：

PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON LEARNING ANALYTICS & KNOWLEDGE (LAK'18): TOWARDS USER-CENTRED LEARNING ANALYTICS | 2018年

关键词：

Learning analytics; policy; higher education; strategy; ROMA model; PRIVACY; NUMBERS;

D O I：

10.1145/3170358.3170367

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper introduces a learning analytics policy development framework developed by a cross-European research project team - SHEILA (Supporting Higher Education to Integrate Learning Analytics), based on interviews with 78 senior managers from 51 European higher education institutions across 16 countries. The framework was developed using the RAPID Outcome Mapping Approach (ROMA), which is designed to develop effective strategies and evidence-based policy in complex environments. This paper presents three case studies to illustrate the development process of the SHEILA policy framework, which can be used to inform strategic planning and policy processes in real world environments, particularly for large-scale implementation in higher education contexts.

引用

页码：320 / 329

页数：10

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