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…
Game learning analytics for understanding reading skills in transparent writing system
2020
Serious games are designed to improve learning instead of providing only entertainment. Serious games analytics can be used for understanding and enhancing the quality of learning with serious games. One challenge in developing computerized support for learning is that learning of skills varies between players. Appropriate algorithms are needed for analyzing the performance of individual players. This paper presents a novel clustering-based profiling method for analyzing serious games learners. GraphoLearn, a game for training connections between speech sounds and letters, serves as the game-based learning environment. The proposed clustering method was designed to group the learners into p…
Deep learning for knowledge tracing in learning analytics: An overview
2021
Learning Analytics (LA) is a recent research branch that refers to methods for measuring, collecting, analyzing, and reporting learners’ data, in order to better understand and optimize the processes and the environments. Knowledge Tracing (KT) deals with the modeling of the evolution, during the time, of the students’ learning process. Particularly its aim is to predict students’ outcomes in order to avoid failures and to support both students and teachers. Recently, KT has been tackled by exploiting Deep Learning (DL) models and generating a new, ongoing, research line that is known as Deep Knowledge Tracing (DKT). This was made possible by the digitalization process that has simplified t…
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…
Video Viewing Patterns Using Different Teaching Treatments: A Case Study Using YouTube Analytics
2019
Aquest estudi explora els patrons de visualització de 17 vídeos en un context tradicional daprenentatge i en un context de classe invertida per 723 estudiants de negocis cursant un mòdul relacionat amb . Mentre recerques anteriors s?han centrat principalment en resultats (per exemple, satisfacció/resultats dels alumnes), en aquest estudi l?enfocament recau en com la natura de les interaccions del estudiants amb el vídeos por determinar-se mitjançant un anàlisi profund de les dades analítiques. Els nostres resultats mostren menys interacció amb els vídeos en el context de la classe invertida que en el de la classe tradicional. De la mateixa manera, mostren un ús més elevat dels vídeos com a …
Deep Networks for Collaboration Analytics : Promoting Automatic Analysis of Face-to-Face Interaction in the Context of Inquiry-Based Learning
2021
Scholars have applied automatic content analysis to study computer-mediated communication in computer-supported collaborative learning (CSCL). Since CSCL also takes place in face-to-face interactions, we studied the automatic coding accuracy of manually transcribed face-to-face communication. We conducted our study in an authentic higher-education physics context where computer-supported collaborative inquiry-based learning (CSCIL) is a popular pedagogical approach. Since learners’ needs for support in CSCIL vary in the different inquiry phases (orientation, conceptualization, investigation, conclusion, and discussion), we studied, first, how the coding accuracy of five computational models…
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…
Towards Evidence-Based Academic Advising Using Learning Analytics
2018
Academic advising is a process between the advisee, adviser and the academic institution which provides the degree requirements and courses contained in it. Content-wise planning and management of the student’ study path, guidance on studies and academic career support is the main joint activity of advising. The purpose of this article is to propose the use of learning analytics methods, more precisely robust clustering, for creation of groups of actual study profiles of students. This allows academic advisers to provide evidence-based information on the study paths that have actually happened similarly to individual students. Moreover, academic institutions can focus on management and upda…
“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…
Understanding the Study Experiences of Students in Low Agency Profile: Towards a Smart Education Approach
2020
In this paper, we use student agency analytics to examine how university students who assessed to have low agency resources describe their study experiences. Students ( n=292 ) completed the Agency of University Students (AUS) questionnaire. Furthermore, they reported what kinds of restrictions they experienced during the university course they attended. Four different agency profiles were identified using robust clustering. We then conducted a thematic analysis of the open-ended answers of students who assessed to have low agency resources. Issues relating to competence beliefs, self-efficacy, student-teacher relations, time as a resource, student well-being, and course contents seemed to …