Search results for "Learning Analytic"
showing 10 items of 33 documents
Assessing Teacher’s Discourse Effect on Students’ Learning: A Keyword Centrality Approach
2020
The way that content-related keywords co-occur along a lesson seems to play an important role in concept understanding and, therefore, in students’ performance. Thus, network-like structures have been used to represent and summarize conceptual knowledge, particularly in science areas. Previous work has automated the process of producing concept networks, computed different properties of these networks, and studied the correlation of these properties with students’ achievement. This work presents an automated analysis of teachers’ concept graphs, the distribution of relevance amongst content-related keywords and how this affects students’ achievement. Particularly, we automatically extracted…
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 …
Macro MOOC learning analytics
2020
Massive Open Online Courses (MOOCs) have opened new educational possibilities for learners around the world. Numerous providers have emerged, which usually have different targets (geographical, topics or language), but most of the research and spotlight has been concentrated on the global providers and studies with limited generalizability. In this work we apply a multi-platform approach generating a joint and comparable analysis with data from millions of learners and more than ten MOOC providers that have partnered to conduct this study. This allows us to generate learning analytics trends at a macro level across various MOOC providers towards understanding which MOOC trends are globally …
Blended Learning als Spielfeld für Learning Analytics und Educational Data Mining
2020
Der Einsatz digitaler Lernformate im Blended Learning bietet demnach Chancen in mindestens zwei Bereichen. Zum einen konnen digitale Lernformate direkt die Lernprozesse von Studierenden gunstig beeinflussen, ihre Leistungen verbessern und zudem positive Effekte auf vielen weiteren Ebenen wie der Motivation oder des Selbstkonzeptes bewirken. Zum anderen generieren digitale Lernformate eine Fulle von Daten in vielfaltiger Gestalt. Studierende erzeugen bei der Arbeit mit digitalen Werkzeugen Nutzungsdaten, wie Verweildauern und Aktivitatsprofile, sie produzieren Leistungsdaten aus digitalen Aufgaben, sie hinterlassen Textbeitrage in Foren und Chats. All diese Daten konnen genutzt werden, um mi…
Student Performance Prediction Based on Blended Learning
2021
Contribution: This article explored blended learning by implementing a student-centered teaching method based on the flipped classroom and small private online course (SPOC). The impact of general online learning behavior on student performance was analyzed. This work is practical and provides enlightenment for learning analysis and individualized teaching in blended learning. Background: Providing individualized teaching in a large class is an effective way to improve teaching quality, but the traditional teaching method makes it difficult for teachers to learn about each student’s learning situation. Blended learning offers the possibility of individualized teaching for teachers. The comb…
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…
Design principles for learning analytics information systems in higher education
2020
This paper reports a design science research (DSR) study that develops, demonstrates and evaluates a set of design principles for information systems (IS) that utilise learning analytics to support learning and teaching in higher education. The initial set of design principles is created from theory-inspired conceptualisation based on the literature, and they are evaluated and revised through a DSR process of demonstration and evaluation. We evaluated the developed artefact in four courses with a total enrolment of 1,173 students. The developed design principles for learning analytics information systems (LAIS) to establish a foundation for further development and implementation of learning…
Efecto de la retroalimentación orientada al acierto: un caso de estudio de analítica del aprendizaje
2020
La Analítica de datos en Educación se puede definir como el área encargada de medir, recopilar y analizar conjuntos de datos obtenidos mediante el uso de entornos tecnológicos de aprendizaje o plataformas de aprendizaje asistido por computadora que permiten registrar las interacciones o trazas digitales del estudiantado. En particular, el estudio de la traza digital registrada puede contribuir positivamente en la comprensión de las estrategias seguidas por el estudiantado al resolver una tarea. En este trabajo se presenta un caso de estudio exploratorio en el que analiza el posible impacto del uso de la retroalimentación orientada al acierto mediante el uso de un entorno tecnológico con el …
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…
A framework for evaluating student interaction with automatically assessed exercises
2016
Automatic assessment has become a widely used technique in programming courses. Even though modern techniques can practically ensure functional correctness of student solutions, it is less clear how to promote quality interaction between students and the automatic assessment systems. In this article we propose a simple analytical framework for studying student interaction with the automatic assessment systems and use it to study our functional programming course.