This paper offers guidance on employing open and creative methods for co- designing critical data and artificial intelligence (AI) literacy spaces and learning activities, rooted in the principles of Data Justice. Through innovative approaches, we aim to enhance participation in learning, research and policymaking, fostering a comprehensive…

Learning about probability can pose difficulties for students at all levels. Performing probability experiments using games can encourage students to develop understandings of probability grounded in real events. In this reflective paper, we explore the thinking of a group of students and teachers as they reasoned about experimental and…

During the COVID-19 pandemic, education systems policymakers realized the importance of being able to communicate using technology and to fulfill their academic obligations. As a consequence, a different approach to education followed: blended learning. A literature review revealed a lack of psychometric tools related to blended teaching readiness…

Large data sets invite students to engage in scientific practices such as question asking, identifying correlations, using visualizations, and practicing data literacy in an authentic context. However, authentic data sets are rarely introduced in the biology classroom. We prepared an online inquiry activity based on authentic gross characteristics…

Purpose: This paper aims to investigate the relationship between the students' digital activities and their academic performance through two stages. In the first stage, students' digital activities were studied and clustered based on the attributes of their activity log of learning management system (LMS) data set. In the second stage, the…

Data-driven learning (DDL) has been demonstrated to be an operative strategy for assisting learners to handle a range of writing-related problems. Several studies have been conducted to compare the pedagogical effectiveness of DDL in English as a foreign language (EFL) writing. However, only a few studies have identified key factors that may…

This study focuses on the problem that the process of building learning habits has not been clearly described. Therefore, we aim to extract the stages of learning habits from log data. We propose a data model to extract stages of learning habits based on the transtheoretical model and apply the model to the learning logs of self-directed extensive…

The field of learning analytics has been limited by its frequent dependence on learning logs created by students while learning. Most of the research has dealt with the relationships between learning during a course and the achieved results. Although students' in-class behavior affects learning achievement, this remains a challenging aspect to…

Little is known about students' engagement in school writing tasks and the methods that should be used by the researchers to assess this engagement. This exploratory study examines the relationship between the engagement reported by elementary school students (N = 136) in a handwriting and keyboarding activity (Likert scale questionnaire) and…

Given the importance of data skills to the economy and the skills shortage within data science, educational policy makers have identified the importance of including technical and analytical data skills in the school curriculum. An equally important aim is to educate children and young people to become "data citizens" who are aware of…

Energy is a central concept across the sciences and an important goal of science education is to support all students so that they develop a full understanding of the energy concept. However, given the abstract and complex nature of the energy concept, only a few students develop an understanding so that they can use energy ideas to make sense of…

With the development of online learning, LMSs accumulated huge amounts of students' interaction data. Unfortunately, with the support of LMSs data, few researchers put a sight on interaction research in MPOCs. Particularly, comparing interaction activity patterns of different achievement student groups and in different course processes in MPOCs…

During COVID-19 lockdowns, online learning activities had to be developed for the Undergraduate and Masters by Coursework Bioinformatics students at RMIT University. Therefore, we designed an integrative, industry-based research assignment, which guided the students through a drug discovery project from target identification to lead optimization.…

This study aimed to investigate pre-service pre-school education teachers' data representation activities in terms of their relation to real life, the appropriateness of the data that the children can collect, the conformability of the graphs required for the data representation to the children's level, and the clarity of open-ended questions…

Inequality in the shadow? Cross-national comparisons of the effects of additional instruction on math and science performance based on PISA 2018 data Background Many educational systems worldwide are experiencing a growing demand for shadow education, which often takes the form of outside-school educational activities such as private tutoring…