In the denouement of the COVID-19 pandemic, talk of a return to “normalcy” in higher education belies the great challenges and ongoing disruptions that yet lie ahead for many institutions. Public perceptions of the value of postsecondary education continue their downward slide, placing institutions in the position of having to demonstrate their worth and find solutions to declining enrollments. Data and analytics capabilities continue to evolve, introducing new opportunities and new risks to the institution. Chief among these capabilities, generative AI promises to change teaching and learning in ways many of us have yet to fully understand or prepare for.
For this year’s teaching and learning Horizon Report, expert panelists’ discussions highlighted and wrestled with these present and looming challenges for higher education. This report summarizes the results of those discussions and serves as one vantage point on where our future may be headed.
Infographic promoting Moodle’s analytics graphs, which come packaged in a single block and offer a host of statistics and figures on various aspects of students’ Moodle usage
Infographic promoting Moodle’s activity completion feature, which allows the lecturer to assign completion criteria to specific activities and resources within Moodle
Infographic providing information on Moodle’s attendance feature, which allows lecturers to take attendance in Moodle and for individual students to see their own attendance record
Recording of National Forum Seminar December 2021 with Lee O Farrell, UCD; Mary Loftus, IT Sligo; and, Prof James Pickering & Dr Bronwen Swinnerton, University of Leeds (UK), chaired by Damien Raftery, IT Carlow
This webinar explores innovative approaches to harnessing data, and the growing recognition of its potential to support whole-of-institution strategies for student success.
Recording of the webinar ‘Learning Analytics: Innovative Practices’ from November 2019, including brief, thought-provoking presentations on maximising the power of data for students, staff who teach and institutions. Presentations from WIT, DCU and from the Erasmus+ OFLA (Onwards from Learning Analytics) project.
This report looks at the major recurring themes in a number of exemplar international analytics policies and highlights the actions institutions may wish to take in developing their own policies and strategies
Analytics is invaluable for answering questions, but impact can only be achieved by acting on the answers. This guide outlines some of the key considerations for developing effective data-informed student interventions.
Although bespoke platforms are not essential for developing a data-informed approach, for any institution that is considering doing so, identifying the right platform is important. This document lists a number of essential considerations for opting for a reporting system that is right for your institution’s reporting needs.
The purpose of this resource is to give an overview of some of the themes that feature in each of a set of policy exemplars from international sources. Each of…
Collaboration and consultation are essential for whole-of-institution approaches. This resource outlines some of the colleagues that you may wish to consider working with to develop your approach.
This guide details some of the key reporting features in Blackboard that can be of benefit to staff who teach that wish to employ a data-informed approach to their practice.
This guide details some of the key reporting features in Moodle that can be of benefit to staff who teach that wish to employ a data-informed approach to their practice.
This guide details some of the key reporting features in Sakai that can be of benefit to staff who teach that wish to employ a data-informed approach to their practice.
Data quality is a major challenge for most institutions as they begin to develop a data-enabled approach, but it is a critical early step. Any answers generated by your data will only be as accurate as the data itself. This resources highlights some of the key steps to ensuring the quality of the data you have access to.
The value of data lies in answering questions so knowing what question(s) you want to answer is an essential first step. This guide details some of the areas that data can be used to investigate.
Adapted from the Data Protection Commissioner’s Office’s data protection checklist, this guide outlines the key steps staff and institutions must take to ensure compliance with data protection legislation.
Automated interventions can be highly impactful, once they are worded and structured carefully and thoughtfully. This resource introduces some of the key steps for ensuring effective student communications.
Institutions have access to vast amounts of valuable information. This guide details some of the many potential sources of data and how they can be used effectively
The fundamental role of Learning Analytics is to answer questions. These questions should provide actionable insights that institutions, teaching staff and students use to drive effective change. Identifying the initial…
