Synthesis of Data Science Competency for Higher Education Students

Pratsri, Sajeewan; Nilsook, Prachyanun; Wannapiroon, Panita

doi:10.46300/9109.2022.16.11

Cited by 2 publications

(2 citation statements)

References 23 publications

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“…For instance, realizing not all groups were equally good at making data-informed decisions, we plan to design strategies to support students in making data-informed decisions. Furthermore, in this study, we mainly focused on students' data science practice but did not consider their data science knowledge and attitude, which are also critical components of data science competencies (Pratsri et al, 2022). In our next design cycle, we plan to consider students' data science competencies more holistically.…”

Section: Limitations and Future Researchmentioning

confidence: 99%

Analytics‐supported reflective assessment for 6th graders' knowledge building and data science practices: An exploratory study

Yang

Zheng

Zhu

et al. 2023

Brit J Educational Tech

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Preparing data-literate citizens and supporting future generations to effectively work with data is challenging. Engaging students in Knowledge Building (KB) may be a promising way to respond to this challenge because it requires students to reflect on and direct their inquiry with the support of data. Informed by previous studies, this research explored how an analytics-supported reflective assessment (AsRA)-enhanced KB design influenced 6th graders' KB and data science practices in a science education setting. One intact class with 56 students participated in this study. The analysis of students' Knowledge Forum discourse showed the positive influences of the AsRA-enhanced KB design on students' development of KB and data science practices. Further analysis of different-performing groups revealed that the AsRA-enhanced KB design was accessible to all performing groups. These findings have important implications for teachers and researchers who aim to develop students' KB and data science practices, and general high-level collaborative inquiry skills.

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Section: Limitations and Future Researchmentioning

confidence: 99%

Analytics‐supported reflective assessment for 6th graders' knowledge building and data science practices: An exploratory study

Yang

Zheng

Zhu

et al. 2023

Brit J Educational Tech

View full text Add to dashboard Cite

show abstract

“…One key mains of EDS is to enhance student learning performance. By analyzing student records and academic data, EDS can identify patterns and trends that help identify factors influencing student achievement (Pratsri et al, 2022). For instance, it can uncover the impact of different teaching methodologies, classroom environments, or even socioeconomic factors on student outcomes (Suganya & Sheshasaayee, 2022).…”

Section: Educational Data Science and Dashboard: Leveraging Data For ...mentioning

confidence: 99%

Unlocking teachers’ potential: MOOCLS, a visualization tool for enhancing MOOC teaching

Hmedna,

Bakki,

Mezouary

et al. 2023

Smart Learn. Environ.

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Massive Open Online Courses (MOOCs) are revolutionizing online education and have become a popular teaching platform. However, traditional MOOCs often overlook learners' individual needs and preferences when designing learning materials and activities, resulting in suboptimal learning experiences. To address this issue, this paper proposes an approach to identify learners' preferences for different learning styles by analyzing their traces in MOOC environments. The Felder–Silverman Learning Style Model is adopted as it is one of the most widely used models in technology-enhanced learning. This research focuses on developing a reliable predictive model that can accurately identify learning styles. Based on insights gained from our model implementation, we propose MOOCLS (MOOC Learning Styles), an intuitive visualization tool. MOOCLS can help teachers and instructional designers to gain significant insight into the diversity of learning styles within their MOOCs. This will allow them to design activities and content that better support the learning styles of their learners, which can lead to higher learning engagement, improved performance, and reduction in time to learn.

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Synthesis of Data Science Competency for Higher Education Students

Cited by 2 publications

References 23 publications

Analytics‐supported reflective assessment for 6th graders' knowledge building and data science practices: An exploratory study

Analytics‐supported reflective assessment for 6th graders' knowledge building and data science practices: An exploratory study

Unlocking teachers’ potential: MOOCLS, a visualization tool for enhancing MOOC teaching

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