A Learning Analytics Approach to Build Learner Profiles Within the Educational Game OMEGA+

Chandrasekaran, Deepak; Chang, Maiga; Graf, Sabine

doi:10.1007/978-3-031-09680-8_13

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2022

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“…That means the same case can move from cluster to cluster during analysis (Antonenko et al, 2012; Xing et al, 2014). Second, the cases are exclusively assigned to one cluster (Chandrasekaran et al, 2022), so no overlapping exists compared to soft clustering.…”

Section: Methodsmentioning

confidence: 99%

The relationship between problem‐solving behaviour and performance – Analysing tool use and information retrieval in a computer‐based office simulation

Ludwig

Rausch

2022

Computer Assisted Learning

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Background: Problem-solving competences have evolved into key skills for professionals. Computer-based business simulations enable the analysis of problemsolving processes beyond end results. An important aspect of successful problemsolving is to systematically use built-in tools and process the provided information efficiently.Objectives: This investigation explores the relationship between students' tool use, information retrieval, and problem-solving success in a computerized problem-solving office simulation.

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Section: Methodsmentioning

confidence: 99%