| Abstract | Despite the growing importance of learning analytics in higher education, educators face significant challenges in effectively incorporating learning analytics into their teaching practices. This poster presents a systematically developed toolkit that bridges this gap through a structured approach to data-informed teaching decisions in learning design. The toolkit integrates intended learning outcomes, pedagogic intentions, and learning design activity types with corresponding learning analytics markers and analysis methods. An experimental study evaluated the toolkit's effectiveness with 12 educators across multiple disciplines (66% Computer Science, 34% from Social Sciences, Law and Medicine). Evaluation results showed strong adoption potential, with 100% of educators finding the toolkit useful, 89% reporting interface reliability, and 78% noting improved learning outcomes. Areas for enhancement were also identified, such as interface simplicity and VLE integration (67% compatibility). The toolkit's systematic approach to learning analytics integration was validated through a perceived usability questionnaire. This demonstrates its potential for facilitating data-informed teaching practices. This poster presents the toolkit, empirical evaluation findings, and evidence-based improvements for supporting wider adoption of learning analytics in higher education teaching practice. |
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