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Welcome to iCTLT 2016!
Wednesday, March 30 • 12:00pm - 12:30pm
Paper Presentation 2/6: 187 Enhancing Students’ Learning Of Science Through Analytics LIMITED

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The purpose of this paper is to share our efforts to leverage on learning analytics to enhance students’ learning of Science.  From the perspective of faculty members, learning analytics can help identify at-risk learners and provide interventions, transform pedagogical approaches, and help students gain insight into their own learning (Long and Siemens, 2011).  However, Wright et al (2014) noted that it was a challenge to utilize large data analysis for actionable and effective interventions in the classroom.  This sharing attempts to identify strategies for educators to leverage learning analytics to guide them in monitoring their students’ progress and plan suitable intervention strategies.  It is hoped that the provision of real-time information of each student’s progress to teachers would lead to greater and more personalised support for every learner in our schools.

Recognising the influence that learning analytics can have on teaching and learning, MOE-ITB and NCS collaboratively embarked on a study to make available learning analytics systems to schools in an attempt to identify teaching practices that enhance students’ learning through the use of analytics.  As part of our study, 15 schools have been provided with training and access to Toktol (a Science-based learning system with built-in learning analytics tool).  Teachers integrated the use of Toktol into their teaching and made use of the data generated on students’ learning to guide their lesson planning and delivery.

With the first phase of the study completed in Nov 2015, it is hoped that analysis of the data gathered from the study will shed some light on the benefits of analytics systems, especially in helping teachers visualise their students’ learning and facilitating lesson planning.  At the same time, it is also hoped that the data gathered will provide useful information on the design of future learning analytics systems, and identify critical datasets that are able to provide teachers with data on students’ learning.

Presenters
BS

BERNARD SIT

Senior Applications Consultant, Ministry of Education, Information Technology Branch


Wednesday March 30, 2016 12:00pm - 12:30pm GMT+08
MR 334