Ean Teng Khor | Learning Analytics | Best Researcher Award

Dr. Ean Teng Khor | Learning Analytics | Best Researcher Award

Faculty at Nanyang Technological University | Singapore

Dr. Ean Teng Khor is a distinguished scholar in the fields of learning analytics, educational technology, and data-driven approaches to teaching and learning, recognized for advancing innovative methodologies that enhance how learners interact with digital environments. With a strong academic foundation in information technology, she has developed an interdisciplinary research portfolio centered on machine learning, data mining, social network analysis, and artificial intelligence applications in education. Her work consistently bridges theoretical insight with real-world educational challenges, exploring how data can meaningfully inform instructional decision-making, personalize learning pathways, and support predictive models that improve student performance. She has contributed extensively to international journals through influential publications that examine emerging trends such as multimodal learning analytics, generative AI feedback, intelligent educational chatbots, and networked learning in professional settings. Her scholarship also includes systematic reviews that synthesize global research on personalized learning, MOOCs, workplace learning behaviors, and K-12 teacher experiences with data literacy. Known for her ability to articulate complex analytical approaches in ways that are accessible to educators and policymakers, she plays a significant role in shaping conversations around the responsible and impactful use of AI in education. Her collaborations with multidisciplinary teams reflect her commitment to enhancing both technological design and pedagogical practice, ensuring that learning technologies are grounded in evidence-based strategies that support diverse learners. Through her leadership in research, teaching, and academic community engagement, she continues to influence the development of more intelligent, equitable, and data-empowered learning ecosystems, earning recognition as an important contributor to the future of technology-enhanced education.

Profiles: Scopus | ORCID

Featured Publications

Khor, E. T., Chee, A., & Lee, S. S. (2025). Beyond the numbers: K–12 teachers’ experiences, beliefs, and challenges in developing data literacy.

Khor, E. T., Chan, L., Koh, E., & Seow, P. (2025). Exploring students’ perceptions of generative AI-generated feedback in learning programming.

Khor, E. T., How, Z. J., Koh, E., Looi, C. K., & Lok, C. (2025). Learning analytics techniques: An overview and future research possibilities.

Ani, A., & Khor, E. T. (2024). Development and evaluation of predictive models for predicting students’ performance in MOOCs.

Khor, E. T., & Darshan, D. (2024). Prediction of students’ performance in online learning using supervised machine learning.