Search results for "Learning Analytics"
showing 10 items of 33 documents
Framing automatic grading techniques for open-ended questionnaires responses. A short survey
2021
The assessment of students' performances is one of the essential components of teaching activities, and it poses different challenges to teachers and instructors, especially when considering the grading of responses to open-ended questions (i.e., short-answers or essays). Open-ended tasks allow a more in-depth assessment of students' learning levels, but their evaluation and grading are time-consuming and prone to subjective bias. For these reasons, automatic grading techniques have been studied for a long time, focusing mainly on short-answers rather than long essays. Given the growing popularity of Massive Online Open Courses and the shifting from physical to virtual classrooms environmen…
Peergrade nella classe capovolta: una piattaforma per favorire il dibattito valutativo e la raccolta di dati statistici sulla valutazione tra pari
2019
Nella “flipped classroom” gli studenti devono spesso studiare determinati argomenti e a redigere presentazioni e relazioni da portare in classe. La valutazione tra pari in tale scenario può svolgere un ruolo importante e migliorare l'efficacia generale dell'apprendimento. Uno strumento molto utile per questo tipo di attività è Peergrade, una piattaforma che integra vari strumenti: realizzazione e condivisione di rubriche di valutazione; sistema di comunicazione tra pari; strumento di assegnazione e consegna di compiti; sistema di valutazione formativa e sommativa. In tre corsi del secondo anno e terzo di Formazione Primaria, in tre diversi atenei (Palermo, Catania, Lumsa), è stato speriment…
Exploring learning analytics on YouTube: a tool to support students interactions analysis
2021
YouTube is a free online video-sharing platform that is often used by students for their learning activities. The interactions of the students when using the platform to shape new concepts, are worth to be investigated to better understand and to optimize the learning opportunities that take place in this platform. In this paper, we investigate which types of data are relevant to analyse the interactions of students with content on YouTube, and we introduce a new tool that emulates students’ interactions with the platform in order to provide data to be used in supporting Learning Analytics approaches. Our preliminary study inspects the tool effectiveness in data collection and analyses the …
Towards an open database of assessment material for STEM subjects: requirements and recommendations from early field trials
2022
If appropriately implemented, open databases of instruction material may help teaching and learning by providing content for teaching activities, scaffolding, and self-assessment. The paper presents the current results of the development and implementation of a database that is expressly built for promoting exchange of questions and exercises, together with the associated solutions among teachers for STEM subjects. Besides presenting and motivating the initiative (together with reporting its current status), the manuscript lists a series of lessons that have been learned while executing the project - including the need for proper management of authorship and version control of the uploaded …
TEACHING IN BUSINESS ADMINISTRATION: A CUSTOMIZED PROCESS DRIVEN BY TECHNOLOGICAL INNOVATIONS
2020
espanolTres innovaciones tecnologicas desafian los procesos de aprendizaje de la educacion superior. Este documento aborda las implicaciones para estos procesos de aprendizaje de transformacion digital interactiva, inteligencia artificial y personalizacion de contenido. Estas innovaciones involucran tres tipos de procesos de aprendizaje y ensenanza: aprendizaje digital, analisis de aprendizaje y aprendizaje personalizado. Nuestro enfoque sugiere implicaciones relevantes para llevar a cabo actividades de ensenanza en el nuevo escenario caracterizado por aprender en cualquier lugar, en cualquier momento. Ademas, el proceso de digitalizacion permite a los maestros usar tecnicas de mineria de d…
Automatic knowledge discovery from sparse and large-scale educational data : case Finland
2017
The Finnish educational system has received a lot of attention during the 21st century. Especially, the outstanding results in the first three cycles of the Programme for International Student Assessment (PISA) have made Finland’s education system internationally famous, and its unique characteristics have been under active research by various, predominantly educational, scholars since then. However, despite the availability of real but often sparse big data sets that would allow more evidence-based decision making, existing research to date has mostly concentrated on using classical qualitative and (univariate) quantitative methods. This thesis discusses, in general terms, knowledge discove…
“Sitting at the Stern and Holding the Rudder” : Teachers’ Reflections on Action in Higher Education Based on Student Agency Analytics
2022
Digital technologies in teaching and learning in higher education have the potential to enhance student agency. Student agency is an essential resource to nurture, especially at times when students face challenges emerging from the volatile, uncertain, complex, and ambiguous world. In addition, contemporary policymaking has identified the importance of student agency. Student agency analytics is a process utilizing learning analytics, specifically psychometrics and machine learning to provide teachers insights about the agentic resources of their students. Four teachers in higher education were provided with student agency analytics results of their mathematics courses. The teachers partici…
Measuring self‐regulated learning in a junior high school mathematics classroom : Combining aptitude and event measures in digital learning materials
2023
Background Measurement of students' self-regulation skills is an active topic in education research, as effective assessment helps devising support interventions to foster academic achievement. Measures based on event tracing usually require large amounts of data (e.g., MOOCs and large courses), while aptitude measures are often qualitative and need careful interpretation. Precise and interpretable evaluation of self-regulation skills in a normal K-12 classroom thus poses a challenge. Objectives The present study proposes and explores a learning analytics method of combining aptitude and event measures to evaluate student's self-regulation skills. Methods An explorative learning analytics s…
Rethinking Learning Design in IT Education During a Pandemic
2021
Maintaining high-quality teaching and learning in the times of a pandemic poses a huge challenge to education systems. To scaffold adequate practices in our courses during the pandemic, more advanced, and fine-grained “learning design” is needed than providing the learning objectives and learning materials of the course and defining the deliverables and assignments. In this paper, we leverage on our experience with putting into practice different learning designs and technologies, in various information technology (IT) contexts and discuss how IT educators can further reflect on the learning design of their courses and scaffold fully remote or blended learning approaches to accommodate thei…
Framework for pedagogical learning analytics
2018
Learning analytics is an emergent technological practice and a multidisciplinary scientific discipline, which goal is to facilitate effective learning and knowledge of learning. In this design science research, I combine knowledge discovery process, a concept of pedagogical knowledge, ethics of learning analytics and microservice architecture. The result is a framework for pedagogical learning analytics. The framework is applied and evaluated in the context of agency analytics. The framework contributes to the practical use of learning analytics.