Interactive learning is a two-way learning method of learners independently by using computer and network technology. In the interactive relationships, interactive learning plays a role for learners to achieve the learning purpose, interactive learning has become an important effect of online learning, but it also has many problems that need to be…

Learning analytics have the potential to improve teaching and learning in K-12 education, but as student data is increasingly being collected and transferred for the purpose of analysis, it is important to take measures that will protect student privacy. A common approach to achieve this goal is the de-identification of the data, meaning the…

Science education aims to enhance students' scientific knowledge and inquiry ability. In recent years, due to the advancements of computer and network technology, as well as the considerations of safety and cost, virtual reality (VR) has been gradually applied in scientific inquiry activities. When implementing inquiry-based learning in the past,…

In this research article, Sarah Dryden-Peterson explores the concept of researcher positionality, focusing on its malleability over time. The methodological analysis is situated in an empirical study of history teaching and learning in Cape Town, South Africa, schools in 1998 and 2019. Dryden-Peterson argues that researcher positionality is often…

DNA barcoding is an important molecular methodology for species identification that was developed over the last two decades and it should be covered in the biology bachelor curriculum. Here, we present an example of DNA barcoding by sequencing a segment of the 28S nuclear ribosomal large subunit rRNA gene of wild mushrooms and framing the…

This paper combines a theoretical-based model with a data-driven approach to develop an Early Warning System that detects students who are more likely to dropout. The model uses innovative multilevel statistical and machine learning methods. The paper demonstrates the validity of the approach by applying it to administrative data from a leading…

Imagine a student using an intelligent tutoring system. A researcher records the correctness and time of each of your attempts at solving a math problem, nothing more. With no names, no birth dates, no connections to the school, you would think it impossible to track the answers back to the class. Yet, class sections have been identified with no…

The European Agency Statistics on Inclusive Education (EASIE) work focuses upon the collection and analysis of longitudinal, comparative national data related to inclusive education systems and learners with officially recognised special educational needs (SEN) among its 31 member countries. In this article, the EASIE work is discussed in relation…

There is much debate over the number of interviews needed to reach data saturation for themes and metathemes in qualitative research. The primary purpose of this study is to determine the number of interviews needed to reach data saturation for metathemes in multisited and cross-cultural research. The analysis is based on a cross-cultural study on…

In the identification process, there may be gifted students who may be unnoticed or students who are misdiagnosed and are disappointed. In this context, this study is a step that may solve these two problems about the identification of mathematically gifted students with the help of data mining, which is data analysis methodology that has been…

Massive Open Online Courses (MOOCs) are a promising form of online education. However, the occurrence of academic dishonesty has been threatening MOOC certificates' effectiveness as a serious tool for recruiters and employers. Recently, a large-scale study on the log traces from more than one hundred MOOCs created by Harvard and MIT has identified…

This paper presents the results of integrating learning analytics into the assessment process to enhance academic integrity in the e-learning environment. The goal of this research is to evaluate the computational-based approach to academic integrity. The machine-learning based framework learns students' patterns of language use from data,…

Suffering of the underachievers and misdiagnosed cases brought a group of educators at Srinakharinwirot University to start a pilot project in 1980. This project led to the discovery of many issues on identification, programming, and school evaluation among experts. Questions raised from parents and teachers were in need of the right answers.…

This paper investigates the effect of interview mode (telephone vs. face-to-face) on responses to a 13-item module of identity questions covering distinct domains. With increasing moves towards mixed-mode implementation, especially in longitudinal surveys, establishing whether mode effects are likely to influence findings is of practical value. A…

Learning analytics offers insights into student behaviour and the potential to detect poor performers before they fail exams. If the activity is primarily online (for example computer programming), a wealth of low-level data can be made available that allows unprecedented accuracy in predicting which students will pass or fail. In this paper, we…