Thousands of students and teachers across Wales will benefit from cutting-edge data analytics technology to improve student engagement, retention and performance as a result of a funding boost to be announced today by the Higher Education Funding Council for Wales (HEFCW) and Jisc.
Commentary on Artificial intelligence in education: what issues do we need to start considering now? by Stephen Downes. Online learning, e-learning, new media, connectivism, MOOCs, personal learning environments, new literacy, and more
As Massive Open Online Courses (MOOCs) generate a huge amount of learning activity data through its thousands of users, great potential is provided to use this data to understand and optimize the learning experience and outcome.
In dieser Folge untersucht der Publizist Frank Siepmann mit dem Learning-Analytics-Wissenschaftler Prof. Dr. Dirk Ifenthaler die Fragen: Wie werden Learning Analytics definiert und was steckt dahinter?
In Latin America (LATAM), socioeconomic inequality and lack of resources shape the context of educational institutions in particular ways. Programme quality and dropout rates preoccupy educationalists and governments.
Seit nahezu einer Dekade werden Learning Analytics im Hochschulkontext als Ansatz zum Verständnis sowie zur Optimierung von Lehr-Lern-Prozessen und Lernumgebungen verwendet. Der Beitrag skizziert zentrale Entwicklungslinien von Learning Analytics und geht auf deren Potenziale sowie damit verbundene Fragen zum Datenschutz ein. Basierend auf einer systematischen Übersichtsarbeit und Stakeholderinterviews werden Handlungsempfehlungen für die Implementation von Learning Analytics an Hochschulen vorgestellt. Der Ausblick diskutiert aktuelle Forschungsdesiderata.
Students often enter higher education academically unprepared and with unrealistic perceptions and expectations of university life, which are critical factors that influence students’ decisions to leave their institutions prior to degree completion.
Learning analytics (LA) is a technology for enabling better decision-making by teachers, students, and other educational stakeholders by providing them with timely and actionable information about learning-in-process on an ongoing basis.
Smarte Ausstattung: Um das Lernen der Zukunft digital zu gestalten, benötigen Schulen passende technische Ausstattung. Die Auswahl ist jedoch jedoch rießig.
Whether they’re driven by commercial interests or not, most developers and companies care about positive impact. Of course, impact helps in selling products, but it’s also a key motivation in why people develop and refine technologies: they care about supporting learning.
How can product developers use data analytics to improve products, prove their effectiveness, and increase the fidelity of implementation? Learn more in the latest Nexus story by Rachel Schechter