17 datasets

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

<p dir="ltr">Inquiry-Based Learning (IBL) has emerged as a promising approach for promoting meaningful and productive science education by engaging learners in questioning, investigation, evidence-based reasoning, collaboration, and knowledge construction. This paper examines the theoretical foundations of IBL and their relevance to science education in Africa. It draws on cognitive constructivism

ZivaHub + Deakin Research Online + DMU Figshare + HKU DataHub + Swinburne Figshare + DaYta Ya Rona + SUNScholarData + figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue

<p dir="ltr">Online early-warning systems use learning analytics to identify students at risk, but the resulting predictions do not determine how finite human support should be allocated. This study develops a five-stage analytical framework linking allocation to outcomes: allocation, delivery, response, repeat allocation, and final outcomes. It compares risk-agnostic random allocation, highest-ri

figshare + Loughborough Research Repository2026 · Astronomical catalogue

<p>Reflection is critical for learning. In healthcare, simulations help learners practice clinical and teamwork skills, while reflection supports improving practice. Learning analytics (LA) dashboards can support reflection by visualizing activity data, but their effectiveness is limited by learners’ ability to interpret data visualizations and domain knowledge. Generative AI (GenAI) may bridge th

figshare2026 · Astronomical catalogue

<p dir="ltr">SMR7 is a survey with 7 items</p>

figshare2026 · Astronomical catalogue

<p>Learning analytics of collaborative project-based learning still relies largely on activity counts and final products, which register the fact of digital activity but not the structure of collaborative participation. This study proposes an object-mediated, multi-platform approach that reconstructs joint work from digital traces as a network of ties between students and shared project artifacts,

figshare2026 · Astronomical catalogue

<p>Learning analytics of collaborative project-based learning still relies largely on activity counts and final products, which register the fact of digital activity but not the structure of collaborative participation. This study proposes an object-mediated, multi-platform approach that reconstructs joint work from digital traces as a network of ties between students and shared project artifacts,

figshare2026 · Astronomical catalogue

Introduction<p>Learning behavior and student engagement are important educational constructs that are associated with academic performance. Learning analytics provides opportunities to examine these relationships using large educational datasets. However, clear construct separation, appropriate statistical validation, and comparison with alternative predictive models remain necessary.</p>Methods<p

figshare2026 · Astronomical catalogue

Introduction<p>Learning behavior and student engagement are important educational constructs that are associated with academic performance. Learning analytics provides opportunities to examine these relationships using large educational datasets. However, clear construct separation, appropriate statistical validation, and comparison with alternative predictive models remain necessary.</p>Methods<p

figshare2026 · Astronomical catalogue

<p dir="ltr">This research data package supports the study “From Learning Traces to Adaptive Pedagogy: A Mixed-Methods Study of a Data-Driven Interactive Learning Environment in Secondary Schools.” The study employed a sequential explanatory mixed-method design embedded within Participatory Action Research (PAR) to examine the implementation of a Data-Driven Learning System (DDLS) in Indonesian se

figshare2026 · Astronomical catalogue

Background<p>Blended learning environments place substantial demands on students’ capacity to plan, monitor, and evaluate their own academic work, yet most technology-mediated interventions in higher education prioritize instructor-led monitoring over student-centered autonomy.</p>Objectives<p>This study aimed to characterize the challenges and self-regulated learning strategies of university stud

figshare2026 · Astronomical catalogue · unknown

Supplementary Material 1.

REDU - Unicamp Institutional Research Data Repository2024 · dataset · unknown

Framework desenvolvido durante projeto de doutoramento com objetivo de realizar o pré-processamento e análise de dados coletados de laboratórios remotos. Para tal, considerou-se como fundamento competências técnicas, analíticas e digitais.

e-cienciaDatos2024 · dataset · unknown

Utilización de kits de LEGO Mindstorms en la enseñanza de la física Datos de resultados de las pruebas objetivas de los alumnos del colegio italiano de Madrid Recogida de datos a través de aplicación web en formato sql y csv Contiene una carpeta llamada "DataExperienciaScuolaItaliana06_04_2018" que contiene los ficheros de datos en html, csv y sql

e-cienciaDatos2024 · dataset · unknown

Utilización de robots tutores en la enseñanza de lenguajes de programación de bloques gráficos Datos de resultados de las pruebas objetivas de alumnos de secundaria de varios colegios Recogida de datos a través de aplicación web en formato sql y csv Contiene una carpeta llamada "data" que contiene varios ficheros csv

IISH Dataverse + ODISSEI Portal2020 · dataset · unknown

This archive contains data files and computer code belonging to: Subjective data, objective data and the role of bias in predictive modelling: lessons from a dispositional learning analytics application. Abstract: For decades, self-report measures based on questionnaires have been widely used in educational research to study implicit and complex constructs such as motivation, emotion, cognitive an

Borealis + Agri-environmental Research Data Dataverse2020 · dataset · unknown

Data Collection: Data was collected using a custom web application (Communalytic, available at: https://communalytic.com/) that used Reddit’s public API (https://www.reddit.com/dev/api/). We sampled one percent of public Reddit comments posted in 2016 from AskScience. Since the dataset was collected retroactively, it does not include comments deleted by authors or moderators. Manual Coding: The sa

Borealis + Agri-environmental Research Data Dataverse2018 · dataset · unknown

This is a data set of 482,251 public tweets and retweets (Twitter IDs) posted by the #edchat online community of educators who discuss current trends in teaching with technology. The data set was collected via Twitter's Streaming API between Feb 1, 2018 and Apr 4, 2018, and was used as part of the research on developing a learning analytics dashboard for teaching and learning with Twitter. Followi