Students' Data-driven Decision Making in HEI: The Explicit Knowledge Involved

Semiu Ayobami Akanmu,

Zulikha Jamaludin

IntroductionThe ever-growing natureever-growing nature of HEI students’ data HEI students’ data has accounted for the experience of information experience of information overloadoverload.

Subsequently , it has constrained decision constrained decision making processes.making processes.

Ware, 2000; Spence, 2007Ware, 2000; Spence, 2007

Introduction

• To attend to this, information information

visualization (InfoVis) visualization (InfoVis) is

arguably the suitable tool that

harnesses its strength in

gaining insight gaining insight from large large

multidimensional datasets multidimensional datasets

and therefore aids decision aids decision

making.making.

Introduction

Introduction

Towards the Explicit KnowledgeInfoVisInfoVis must also be preceded by a study to identify the explicit knowledgeto identify the explicit knowledge expected to be utilized to be utilized by its decision decision makers and administrators.makers and administrators.

This paper, therefore aimed at identifying the explicit knowledge involved in HEIs HEIs students’ data-driven decision making students’ data-driven decision making processes.processes.

Delavari, Phon-Amnuaisuk, and Beikzadeh, 2008; Delavari, Phon-Amnuaisuk, and Beikzadeh, 2008; Lam, Bertini, Isenberg, C. Plaisant, and Carpendale, Lam, Bertini, Isenberg, C. Plaisant, and Carpendale,

20122012

Methods

This study investigates the investigates the

explicit knowledge explicit knowledge through

survey questionnaires survey questionnaires

administered to 32 HEI 32 HEI

decision makers. decision makers.

FindingsThe explicit knowledge explicit knowledge expected to be discovered during the students’ data-students’ data-centered visual exploratory processcentered visual exploratory process is represented as below.

Students’ Performance Students’ Performance (SP), Students’ Students’ EnrolmenEnrolment (SE), Students’ Majoring Students’ Majoring CoursesCourses (SM) and Students’ Health Students’ Health History History (SH)

FindingsThe dimensions (attributes)dimensions (attributes) of each data data instanceinstance of the datasets to be involved in the design framework design framework

Our Work in Progress

Thank You!