Outdoor experiences allow teachers to focus on expanding child learning in different domains. Nature experiences can sharpen child senses, enrich vocabulary, increase spatial understandings, and permit more practice for large muscle skills. As well, teachers can arrange outdoor activities to promote positive peer cooperation and aesthetic…

This study aims to address the questionnaire design challenges in cases wherein questions involve a large number of response options. Traditionally, these long-list questions are asked in open-ended or closed-ended formats. However, alternative interface design options are emerging in computer-assisted surveys that combine both interface designs.…

We present an educational data analytics case study aimed at the early detection of potential dropout in Computer Engineering studies in Cuba. We have employed institutional data of 456 students and performed several experiments for predicting their permanency into three (promotion, repetition, and dropout) or two classes (promoting, not…

This article considers the wartime evacuation of English public schools as a result of enemy bombing as well as the commandeering of school buildings for government and military purposes. It looks at the way evacuation was privately organised by public school authorities often relying on the 'old school tie', while also taking financial…

The present studies (N = 159) investigated children's and adults' preferences for label and property conjunctions for cross-classifiable toys. In Study 1, 4-year-olds, 5-year-olds, and adults participated in a labelling and property attribution task involving experimental toys that belong to two categories and control toys that belong to only one…

To successfully reduce student attrition, it is imperative to understand what the underlying determinants of attrition are and which students are at risk of dropping out. We develop an early detection system (EDS) using administrative student data from a state and private university to predict student dropout as a basis for a targeted…

Effective usage of augmented reality (AR) depends on good integration into the learning environment. Based on a qualitative research approach, this study investigates the effects of using AR technologies in science education to support the effective use of AR. Students' experiences of AR were gathered using a prepared questionnaire form. Within…

As students learn how to program, both their programming code and their understanding of it evolves over time. In this work, we present a general data-driven approach, named "Temporal-ASTNN" for modeling student learning progression in open-ended programming domains. Temporal-ASTNN combines a novel neural network model based on abstract…

The objective of this study was to identify university student profiles with different levels of predisposition and usage of digital competences in social communication and collaborative learning (CSCCL) as well as technology use in information search and treatment (CSTI). The sample comprised 383 students from three state universities in Spain.…

This study aims to conduct a comparative study of Bagging and Boosting algorithms among ensemble methods and to compare the classification performance of TreeNet and Random Forest methods using these algorithms on the data extracted from ABIDE application in education. The main factor in choosing them for analyses is that they are Ensemble methods…

Examining students' attitudes towards STEM (science, technology, engineering, and mathematics) fields starting from middle school level is important in their career choices and future planning. However, there is a need to investigate which variables affect students' attitudes towards STEM. Here, we aimed to estimate middle school students'…

The aim of the study is to examine and determine the thoughts of recycling of the situations (gender, grade level, educational status of parents) that affect the recycling attitudes of secondary school students. Explanatory design has been preferred among the mixed method research designs in which both quantitative and qualitative approaches are…

The Kafoa language is one of the indigenous languages in Indonesia so that needs to preserve it to be in existed category and reveal it as language assets in Indonesia and local culture identity. Revealing the Kafoa Language vitality can be conducted through many perspectives, one of them is through the use of basic cultural vocabulary mastery by…

The article aims to expand upon traditional case based instruction through role-play and to explore the effectiveness of the approach in raising students' awareness of the social dimension of the engineering profession. For this purpose, we added a contextual description to the case study "Cutting Roadside Trees" driven by a macroethical…

Regression Tree Method is not yet a mainstream method in Education, despite of being a traditional approach in Machine Learning. We advocate that this method should become mainstream in Education, since, in our point of view, it is the most suitable method to analyse complex datasets, very common in Education. This is, for example, the case of…