Ean Teng Khor
Biographic Data
| ID | 9493932 |
|---|---|
| NAME | Ean Teng Khor |
| GIVEN NAMES | Ean Teng |
| FAMILY NAME | Khor |
| SIGNATURE | KHOR E T |
| AFFILIATIONS | Nanyang Technological University |
| ORCID | 0000-0001-6817-9332 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Beyond the Numbers
As schools increasingly adopt data-informed practices, the importance of teacher data literacy has grown significantly. However, little is known about how teachers in Singapore understand and experience data use in their daily work. This qualitative study explores the beliefs, challenges, and professional learning experiences of Ministry of Education teachers in Singapore. Semi-structured interviews were conducted with in-service teachers from di…
Students’ Use and Perception of Educational GenAI Chatbot in High School Computing
Generative Artificial Intelligence (GenAI) has gained mass popularity in education due to its versatility and convenience. It is particularly popular amongst younger students, who, as digital natives, are more receptive towards new technology. However, research on students’ attitudes and intentions towards using GenAI technology in their education mainly focuses on older age groups like university students. Utilizing the Decomposed Theory of Plan…
A Systematic Review of the Role of Learning Analytics in Supporting Personalized Learning
Personalized learning is becoming more important in today’s diverse classrooms. It is a strategy that tailors instruction to each student’s abilities and interests. The benefits of personalized learning include students’ enhanced motivation and academic success. The average teacher-to-student ratio in classes is 1:15.3, making it challenging for teachers to identify each student’s areas of strength (or weakness). Learning analytics (LA), which ha…
A Learning Analytics Approach Using Social Network Analysis and Binary Classifiers on Virtual Resource Interactions for Learner Performance Prediction
The COVID-19 pandemic induced a digital transformation of education and inspired both instructors and learners to adopt and leverage technology for learning. This led to online learning becoming an important component of the new normal, with home-based virtual learning an essential aspect for learners on various levels. This, in turn, has caused learners of varying levels to interact more frequently with virtual resources to supplement their lear…
Investigating working adults' intentions to participate in microlearning using the decomposed theory of planned behaviour
The current work validated the decomposed theory of planned behaviour (DTPB) with working adults to assess its ability to predict intentions to participate in microlearning and also identify the significant factors that drive microlearning usage decisions. We found that positive attitudes towards microlearning (Attitude), stronger beliefs in others' opinions regarding microlearning use (SN), and stronger perceptions about one's capability to enga…
No prominent works on this page.
A Learning Analytics Approach Using Social Network Analysis and Binary Classifiers on Virtual Resource Interactions for Learner Performance Prediction
The COVID-19 pandemic induced a digital transformation of education and inspired both instructors and learners to adopt and leverage technology for learning. This led to online learning becoming an important component of the new normal, with home-based virtual learning an essential aspect for learners on various levels. This, in turn, has caused learners of varying levels to interact more frequently with virtual resources to supplement their lear…
Investigating working adults' intentions to participate in microlearning using the decomposed theory of planned behaviour
The current work validated the decomposed theory of planned behaviour (DTPB) with working adults to assess its ability to predict intentions to participate in microlearning and also identify the significant factors that drive microlearning usage decisions. We found that positive attitudes towards microlearning (Attitude), stronger beliefs in others' opinions regarding microlearning use (SN), and stronger perceptions about one's capability to enga…
A Systematic Review of the Role of Learning Analytics in Supporting Personalized Learning
Personalized learning is becoming more important in today’s diverse classrooms. It is a strategy that tailors instruction to each student’s abilities and interests. The benefits of personalized learning include students’ enhanced motivation and academic success. The average teacher-to-student ratio in classes is 1:15.3, making it challenging for teachers to identify each student’s areas of strength (or weakness). Learning analytics (LA), which ha…
Beyond the Numbers
As schools increasingly adopt data-informed practices, the importance of teacher data literacy has grown significantly. However, little is known about how teachers in Singapore understand and experience data use in their daily work. This qualitative study explores the beliefs, challenges, and professional learning experiences of Ministry of Education teachers in Singapore. Semi-structured interviews were conducted with in-service teachers from di…
Students’ Use and Perception of Educational GenAI Chatbot in High School Computing
Generative Artificial Intelligence (GenAI) has gained mass popularity in education due to its versatility and convenience. It is particularly popular amongst younger students, who, as digital natives, are more receptive towards new technology. However, research on students’ attitudes and intentions towards using GenAI technology in their education mainly focuses on older age groups like university students. Utilizing the Decomposed Theory of Plan…
Computer Science (2 works) · Educational technology (2 works) · Perception (2 works) · Psychology (2 works) · Qualitative research (2 works) · Theory of planned behavior (2 works) · AI in Service Interactions (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Chatbot (1 work)