Digital Learning Ecosystem for Classroom Teaching in Thailand High Schools
Bibliographic Data
| ID | 16912136 |
|---|---|
| Authors | Lan Thi Nguyen (0000-0002-8848-2168, Khon Kaen University), Issara Kanjug (0000-0001-6820-442X, Khon Kaen University), Grichawat Lowatcharin (0000-0002-2623-1769, Khon Kaen University), Theeradej Manakul (0000-0003-4234-8470, Khon Kaen University), KORNWIPA POONPON (0000-0002-8349-2834, Khon Kaen University), Weerachai Sarakorn (0000-0003-2334-8213, Khon Kaen University), Anucha Somabut (0000-0001-7293-2016, Khon Kaen University), Niwat Srisawasdi (0000-0002-2042-2601, Khon Kaen University), Saksuriya Traiyarach (0000-0001-8053-9425, Khon Kaen University), Kulthida Tuamsuk (0000-0003-0852-8945, Khon Kaen University, corresponding author) |
| Year | 2023 |
| Volume | 13 |
| Issue | 1 |
| Publication date | 2023-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | SAGE Open (JOURNAL) |
| Journal identifiers | ISSN: 2158-2440 • E-ISSN: 2158-2440 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/21582440231158303 |
| OpenAlex | W4327518733 |
| Language | EN |
| Citations received | 3 |
| References cited | 51 |
Digital learning ecosystem plays important roles for transforming teaching classroom into learning community. This article used a mixed method to (1) explore the teaching and learning activities and components of a digital learning ecosystem through eighteen in-depth interviews and six observation classroom teachings of three subjects (English, Mathematics, and Science), and (2) measure the factors influencing the success of the ecosystem from a survey of 350 teachers at high schools in Thailand under the KKU Smart Learning Project. The quantitative data is analyzed by using descriptive statistics, exploratory factor analysis, and confirmatory factor analysis; meanwhile, researchers used manually coding method for qualitative data to categorize data into themes and sub-themes. The findings revealed an ecosystem includes four core components: learning community, learning atmosphere, active learning, and teaching and learning support. However, it is important for junior high schools to clarify and improve seven factors affecting the development of this ecosystem to boost classroom transformation into learning community. This study is useful for policy makers, educators, and teachers to issue educational policies and objectives, invest infrastructure, design curriculum, and organize teaching activities to enhance the effectiveness of learning outcomes
Curriculum · Exploratory factor analysis · Mathematics education · Pedagogy · Computer Science · Online and Blended Learning · Online Learning and Analytics · Psychology · Technology-Enhanced Education Studies
Extending the TAM model to explore the factors that affect Intention to Use an Online Learning Community
High school students’ experience of online learning during Covid-19
Sense of community, perceived cognitive learning, and persistence in asynchronous learning networks
Higher education strategy in digital transformation
A Systematic Review of Social Presence
Active learning increases student performance in science, engineering, and mathematics
Title unavailable
Students Perspective on Online Learning During Covid -19 at Rural Area Thailand
Quantitative Methods for the Social Sciences
Active Learning Strategies for Diverse Learning Styles
| Unique citing works | 3 |
|---|---|
| Citations per year | 3 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 2 |