The purpose of this study was to analyze the activities in the Problem-Based Learning (PBL) methodology among high school students when solving problems related to the field of plane figures, both in extra-mathematical and intra-mathematical environments. The research was qualitative and constituted a case study. The technique used to select the…

The demand for privacy specialists is expected to increase, but there is a shortage of them to meet market demands. Certain ICT skills and competencies are required for professionals who develop, manage, and protect data that drive the digital world. The current study explores undergraduate students' attitude about different teaching strategies…

Self-regulated learning (SRL) strategies can be domain specific. However, it remains unclear whether this specificity extends to different subtopics within a single subject domain. In this study, we collected data from 210 college students engaged in a computer-based learning environment to examine the heterogeneous manifestations of learning…

There has been an increasing demand for healthcare analytics skills and competence by healthcare organizations. Although many universities have established programs and courses on healthcare analytics, most of these curricula have been designed for information systems (IS), information technology (IT), or analytics students. It is unclear how…

Hundreds of thousands of undergraduates enroll in general education science courses to fulfill university core requirements. However, many of these lecture-based courses fail to foster high-level data literacy skills. This work details the design, implementation, and analysis of a new climate change-based classroom activity for college students…

An important skill in the modern workplace is the ability to learn new skills. However, students are ill-prepared for such self-directed requirements, as changes in academic curricula are typically outpaced by technological developments. To contribute to the efforts of educators to prepare students, this study adopts an experiential learning…

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…

There is a critical need to conduct empirical studies on teaching mixed methods research (MMR).This study used a mixed methods process evaluation to provide practical guidance on effective design elements and impactful teaching approaches among five cohort groups of students (2016-2020) enrolled in a doctoral MMR course. Students engaged in…

The aim of this study was to investigate how mobile outdoor learning supports the development of students' conceptual understanding about local socio-environmental problems and students' attitudes towards the learning activity. To explore these aspects, a study following a design-based research model was designed and conducted with 68 eighth-ninth…

This article examines student engagement in an inquiry-based learning activity, planned to provide students with elements in the social, epistemic, and conceptual dimensions related to the scientific practice in immunology. The activity was applied to 39 groups of students enrolled in immunology or biochemistry courses in a public university in…

Educators must constantly figure out engaging ways to teach data management and modeling concepts, especially to non-technical audiences. This paper introduces and describes an experiential learning activity using playing cards to teach a range of business and technical concepts. The paper is enriched by personal anecdotes and experiences from…

This paper explores students' engagement in reading poems, examining data on their self-perceptions of their confidence and competence in reading poems before, during, and after using the "I Notice" methodology as adapted from The Academy of American Poets' unit plan, "Noticing Poetry" (Slaby, 2017). The data was collected over…

This longitudinal pedagogical research investigates students' perceptions and learning outcomes by integrating web and social analytics--based learning activities (i.e., Google Analytics courses and certification test) into Public Relations Research course design. Results from the pretest before introducing the analytics learning assignment…

Given growing interest in K-12 data and data science education, new approaches are needed to help students develop robust understandings of and familiarity with data. The model of the "quantified self"--in which data about one's own activities are collected and made into objects of study--provides inspiration for one such approach. By…

The purpose of this study was to analyze six English as a Foreign Language (EFL) learners' trajectories of discriminating near-synonyms in a data-driven learning task. Since the learners find it considerably difficult to learn subtle meaning differences of near-synonyms, corpus-based data-driven learning may provide an opportunity for them to…