Using data-informed learning design to support teacher to understand students’ learning sentiment via journal entries

Research output: Contribution to journalArticlepeer-review

Abstract

COVID-19 has emphasized the importance of holistic education with fostering stu- dents’ multiple intelligences through effective social and emotional learning (SEL). Understanding students’ SEL not only supports students’ learning performance, it’s also beneficial to inform teachers to provide more adequate social-communicative, metacognitive, and affective learning. This study examined: How does Data-Informed Learning Design (DILD) support online teaching on students’ social and emotional learning? The study concluded that DILD is an effective design model to support teachers to probe students’ socio-communicative, metacognitive, and affective learnings. The findings inform the educators to set high expectations for teaching and provide appropriate personal, social, data, and instructional support to enable teachers to regulate and support students to achieve ideal social and emotional learning.

Original languageEnglish (US)
Pages (from-to)169-182
Number of pages14
JournalEducational Media International
Volume60
Issue number3-4
DOIs
StatePublished - 2023

Keywords

  • Data-informed learning
  • data-decision making
  • digital journal
  • sentiment analysis
  • social learning analyt- ics

ASJC Scopus subject areas

  • Education
  • Communication

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