scholarly journals Other titles from iSTE in Innovations in Learning Sciences

Keyword(s):  
Author(s):  
Lauren E. Margulieux ◽  
Brian Dorn ◽  
Kristin A. Searle

2019 ◽  
Vol 120 (1/2) ◽  
pp. 59-73 ◽  
Author(s):  
Stephanie Danell Teasley

Purpose The explosive growth in the number of digital tools utilized in everyday learning activities generates data at an unprecedented scale, providing exciting challenges that cross scholarly communities. This paper aims to provide an overview of learning analytics (LA) with the aim of helping members of the information and learning sciences communities understand how educational Big Data is relevant to their research agendas and how they can contribute to this growing new field. Design/methodology/approach Highlighting shared values and issues illustrates why LA is the perfect meeting ground for information and the learning sciences, and suggests how by working together effective LA tools can be designed to innovate education. Findings Analytics-driven performance dashboards are offered as a specific example of one research area where information and learning scientists can make a significant contribution to LA research. Recent reviews of existing dashboard studies point to a dearth of evaluation with regard to either theory or outcomes. Here, the relevant expertise from researchers in both the learning sciences and information science is offered as an important opportunity to improve the design and evaluation of student-facing dashboards. Originality/value This paper outlines important ties between three scholarly communities to illustrate how their combined research expertise is crucial to advancing how we understand learning and for developing LA-based interventions that meet the values that we all share.


2006 ◽  
Vol 43 (4) ◽  
pp. 271-284 ◽  
Author(s):  
Liam Rourke ◽  
Norm Friesen
Keyword(s):  

2020 ◽  
Author(s):  
Jeremiah (Remi) Kalir

This book chapter recounts one approach to ethically co-designing a public dashboard that reports social learning analytics and encourages learners’ collaborative annotation across open texts and contexts. As a design narrative in the learning sciences, this chapter is a reflective, first-hand account organized around three related objectives: 1) Naming the theoretical stances toward open and social learning that informed design and research; 2) Describing key decisions and trade-offs pertinent to four iterations of a social learning analytics dashboard; and 3) Considering epistemological, technological, and infrastructural implications for the development and use of social learning analytics in open, flexible, and distance learning.


Author(s):  
Michael D. Hamlin

Business education is education for practice and thus, requires a systematic and integrative approach that will guide students toward becoming reflective practitioners. Case-based education is an important tool that can provide the educational experiences that produce effective practitioners but only if its use is guided by a sound theoretical and research based framework. Research and theory from the learning sciences can guide case-based instructional practices. This chapter will provide a framework for the design of case-based instruction that incorporates teaching and learning affordances derived from the theory of situated learning and cognition. If the educational goal is to produce business practitioners with the skills and knowledge necessary to operate successfully in today's global business environment, business education needs to be prepared to incorporate theoretical perspectives derived from learning sciences research into case-based education.


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