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International Papers: * corresponding author

Poompimol, S., Panjaburee, P.*, Sajjapanroj, S, Changpetch, C., Tapingkae, P. & Ingkavara, T. (2024). Ubiquitous game-based learning with a multimedia debriefing on cyberbullying during the COVID-19 pandemic. International Journal of Mobile Learning and Organisation, 18(2), 135-168. (SCOPUS, Q1)

Daungcharone, K., Thongkoo, K. & Panjaburee, P. (2024). Integrating Thinking Process Model Technique with Online Collaborative Learning to Promote Programming Logical Thinking. International Journal of Information and Education Technology, 14(3), 501-509. (SCOPUS, Q2)

Ingkavara, T., Panjaburee, P.* & Wongkia, W. (2024). Design and Assessment of a Personalized Online Mathematics Learning System with Self-Regulated Learning Features: An Educational Design Research. International Journal of Information and Education Technology, 14(3),2067, 464-475. (SCOPUS, Q2)

Thongkoo, K., Daungcharone, K. & Panjaburee, P. (2024). Effects of Collaborative Inquiry-Based Online Approach in Thai University Students’ Computing Program. International Journal of Information and Education Technology, 14(2), 302-309. (SCOPUS, Q2)

Ingkavara, T., Wongkia, W. & Panjaburee, P.* (2023). Trends of Adaptive/Personalized Learning and Intelligent Tutoring Systems in Mathematics: A Review of Academic Publications from 2010 to 2022. Engineering Proceedings, 55(1), 34. (SCOPUS, Q4)

Poompimol, S., Panjaburee, P.*, Yasri, P. & Buaraphan, K. (2023). Effects of Board Game with Different Debriefing Preferences on Cyberbullying Prevention. IAFOR Journal of Education, 11(3), 207–234. (SCOPUS, Q3)


Wongwatkit, C & Panjaburee, P. (in press). A duplex adaptation mechanism in the personalized learning environment. Journal of Computers in Education, https://doi.org/10.1007/s40692-023-00292-w (SCOPUS, Q1)


Zhao, J. H., Panjaburee, P.*, Hwang, G. J. & Wongkia, W. (in press). Effects of a self-regulated-based gamified virtual reality system on students’ English learning performance and affection. Interactive Learning Environments, https://doi.org/10.1080/10494820.2023.2219702 (SCOPUS, Q1)


Komalawardhana, N. & Panjaburee, P. (in press). Trends and development of technology-enhanced personalized learning in science education: a systematic review of publications from 2010 to 2022. Journal of Computers in Education, https://doi.org/10.1007/s40692-023-00276-w (SCOPUS, Q1)


Panjaburee, P.*, Komalawardhana, N., & Ingkavara, T. (2022). Acceptance of personalized e-learning systems: a case study of concept-effect relationship approach on science, technology, and mathematics courses. Journal of Computers in Education, 9(4), 681–705. (SCOPUS, Q1)

Ingkavara, T., Panjaburee, P.*, Srisawasdi, N., & Sajjapanroj, S. (2022). The use of a personalized learning approach to implementing self-regulated online learning. Computers and Education: Artificial Intelligence, 3, 100086. (SCOPUS, Q1)

Chookaew, S.* & Panjaburee, P. (2022). Implementation of a robotic-transformed five-phase inquiry learning to foster students computational thinking and engagement: a mobile learning perspective. International Journal of Mobile Learning and Organisation, 16(2), 198-220. (SCOPUS, Q2)

 

Bunyakul, N.*, Wiwatwattana, N., & Panjaburee, P. (2022). Effects of a mobile game on students learning achievements and motivations in a clinical chemistry course: Learning style differences. International Journal of Mobile Learning and Organisation, 16(2), 221-244. (SCOPUS, Q2)
 

Chang, C. Y., Panjaburee, P., Lin, H. C., Lai, C. L., & Hwang, G. H.* (2022). Effects of online strategies on students’ learning performance, self‐efficacy, self‐regulation and critical thinking in university online courses. Educational Technology Research and Development, 70(1), 185–204. (IF = 3.565, SSCI, SCOPUS, Q1)

Panjaburee, P*, Komalawardhana, N., & Ingkavara, T. (2022). Acceptance of personalized e-learning systems: a case study of concept-effect relationship approach on science, technology, and mathematics courses. Journal of Computers in Education, 9(4), 681-705. (SCOPUS, Q1)

Chaipidech, P., Kajonmanee, T., Chaipah, K., Panjaburee, P., & Srisawasdi, N. (2021). Implementation of an andragogical teacher professional development training program for boosting TPACK in STEM education: The essential role of a personalized learning system. Educational Technology & Society, 24(4), 220-239. (SSCI, SCOPUS, Q1)

Changpetch, C., Panjaburee, P.*, & Srisawasdi, N. 2022). A comparison of pre-service teachers’ variable misconceptions in various computer-programming preferences: Findings to teacher education course with TPACK. Journal of Computers in Education, 9(2), 149 – 172. (SCOPUS, Q1)

Phattaraporn, P., Panjaburee, P., & Srisawasdi, N.* (2021). Preservice science teachers’ emerging pedagogy of mobile game integration: a tale of two cohorts improvement study. Research and Practice in Technology Enhanced Learning, 16(16), 1-27. (SCOPUS, Q1)

J. S. Lederman, N. G. Lederman, S. Bartels, J. Jimenez, K. Acosta, M. Akubo, S. Aly, M. A. B. S. de Andrade, M. Atanasova, E. Blanquet, R. Blonder, P. Brown, R. Cardoso, P. Castillo-Urueta, P. Chaipidech, J. Concannon, O. K. Dogan, H. El-Deghaidy, A. Elzorkani, T. Ferdous, N. Fukuda, E. Gaigher, L. Galvis-Solano, Q. Gao, S. Guo, Y. Gwekwerere, J. Gyllenpalm, S. Hamed Al-Lal, C. Han-Tosunoglu, A. Hattingh, G. Holliday, X. Huang, S. Irez, J. Jiménez, G. Kay, A. Koumara, K. Kremer, P.-C. Kuo, J. Lavonen, J. S. C. Leung, Z. Liao, M. R. Librea-Carden, S.-F. Lin, C. Liu, E. Liu, S.-Y. Liu, R. Mamlok-Naaman, C. V. Mcdonald, A. Möller, M. Morales, B. K. Mulvey, I. Neumann, A.-L. Neurohr, Y. Pan, P. Panjaburee, M. Penn, K. Plakitsi, E. Picholle, U. Ramnarain, Z. Raykova, C.-J. Rundgren, S. Salonen, D. Santibáñez-Gómez, R. Schwartz, R. Sharma, N. Srisawasdi, S. Takiveikata, T. Urueta-Ortiz, K. Vitlarov, F. Voitle & J. Wishart. (2021). International collaborative follow-up investigation of graduating high school students’ understandings of the nature of scientific inquiry: is progress Being made?. International Journal of Science Education, 43(7), 991-1016. (IF = 2.241, SSCI)

Wanichsan, D., Panjaburee, P.*, & Chookaew, S. (2021). Enhancing knowledge integration from multiple experts to guiding personalized learning paths for testing and diagnostic systems. Computers and Education: Artificial Intelligence, 2, 100013. (Elsevier)

Komalawardhana, N., Panjaburee, P*., & Srisawasdi, N. (2021). A mobile game-based learning system with personalised conceptual level and mastery learning approach to promoting students’ learning perceptions and achievements. International Journal of Mobile Learning and Organisation, 15(1), 29–49. (SCOPUS, Q1)​

Tapingkae, P., Panjaburee, P.*, Hwang, G. J., & Srisawasdi, N. (2020). Effects of a formative assessment-based contextual gaming approach on students’ digital citizenship behaviours, learning motivations, and perceptions. Computers & Education, 159, 103998. (IF = 8.538, SCOPUS, Q1)  

Srisuwan, C & Panjaburee, P.* (2020). Implementation of flipped classroom with personalised ubiquitous learning support system to promote the university student performance of information literacy. International Journal of Mobile Learning and Organisation, 14(3), 370 - 397. (SCOPUS, Q1) 

Wongwatkit, C., Panjaburee, P.*, Srisawasdi, N., & Seprum, P. (2020). Moderating effects of gender differences on the relationships between perceived learning support, intention to use, and learning performance in a personalized e‑learning. Journal of Computers in Education, 7(2), 229-255. (SCOPUS)​

Daungcharone, K., Panjaburee, P.*, & Thongkoo, K. (2020).  Implementation of mobile game-transformed lecture-based approach to promoting C programming language learning. International Journal of Mobile Learning and Organisation, 14(2), 236-254.  (SCOPUS, Q1) 

 

Thongkoo, K., Panjaburee, P.*, & Daungcharone, K. (2019). Integrating inquiry learning and knowledge management into a flipped classroom to improve students’ web programming performance in higher education. Knowledge Management & E-Learning, 11(3), 304–324.  (SCOPUS, Q2)

Thanyaphongphat, J., & Panjaburee, P.* (2019). Effects of a Personalized Ubiquitous Learning Support System based on Learning Style-Preferred Technology Type Decision Model on University Students’ SQL Learning Performance. International Journal of Mobile Learning and Organisation, 13(3), 233 - 254 (SCOPUS, Q1)

Thongkoo, K., Panjaburee, P.*, & Daungcharone, K. (2019). A development of ubiquitous learning support system based on an enhanced inquiry-based learning approach. International Journal of Mobile Learning and Organisation, 13(2), 129-151. (SCOPUS, Q1)

Daungcharone, K., Panjaburee, P.*, & Thongkoo, K. (2019).  A mobile game-based C programming language learning: Results of university students’ achievement and motivations. International Journal of Mobile Learning and Organisation, 13(2), 171-192. (SCOPUS, Q1) 

Srisawasdi, N., & Panjaburee, P.* (2019) Implementation of Game-transformed Inquiry-based Learning to Promote the Understanding of and Motivation to Learn Chemistry. Journal of Science Education and Technology, 28(2), 152-164. (IF=1.375, SSCI)

Panjaburee, P., & Srisawasdi, N.* (2018). The opportunities and challenges of mobile and ubiquitous learning for future schools: A context of Thailand. Knowledge Management & E-Learning, 10, 485-506.(SCOPUS, Q2)

Komalawardhana, N., Panjaburee, P.* (2018). Proposal of personalised mobile game from inquiry-based learning activities perspective: relationships among genders, learning styles, perceptions, and learning interest. International Journal of Mobile Learning and Organisation, 12(1), 55-76. (SCOPUS, Q1)

Wongwatkit, C., Srisawasdi, N., Hwang, G.J., & Panjaburee, P.* (2017). Influence of an integrated learning diagnosis and formative assessment-based personalized web learning approach on students learning performances and perceptions. Interactive Learning Environments, 25(7), 889–903. (IF=1.674, SSCI, Q1) 

Wongwatkit, C., Panjaburee, P.*, & Srisawasdi, N. (2017). A proposal to develop a guided-inquiry mobile learning with a mastery learning mechanism for improving students’ learning performance and attitudes in Physics. International Journal of Mobile Learning and Organisation, 11(1), 63-86. (SCOPUS, Q2)

Srisawasdi, N.*, Fwungchan, W., Meuansechai, K, Kongpet, K., & Panjaburee, P. (2016). The study on integrating visualised simulation into
context-aware ubiquitous learning activities for elementary science education. International Journal of Mobile Learning and Organisation, 10(4), 263-291. (SCOPUS, Q2)

Panjaburee, P. & Srisawasdi, N.* (2016). An integrated learning styles and scientific investigation-based personalized web approach: a result on conceptual learning achievements and perceptions of high school students. Journal of Computers in Education, 3(3), 253–272.

Srisawasdi, N. & Panjaburee, P. (2016). Emerging pedagogies for computer-based learning. Journal of Computers in Education, 3(3), 247–251.

Chookaew, S., Wanichsan, D., Hwang, G.J., & Panjaburee, P.* (2015). Effects of a personalised ubiquitous learning support system on university students’ learning performance and attitudes in computer-programming courses. International Journal of Mobile Learning and Organisation, 9(3), 240-257. (SCOPUS, Q2)

Srisawasdi, N. & Panjaburee, P. (2015). Exploring effectiveness of simulation-based inquiry learning in science with integration of formative assessment. Journal of Computers in Education, 2(3), 323–352.

Dorji, U., Panjaburee, P.*, & Srisawasdi, N. (2015). Gender differences in students’ learning achievements and awareness through residence energy saving game-based inquiry playing. Journal of Computers in Education, 2(2), 227-243.

Dorji, U., Panjaburee, P.*, & Srisawasdi, N. (2015). A Learning Cycle Approach to Developing Educational Computer Game for Improving Students’ Learning and Awareness in Electric Energy Consumption and Conservation. Educational Technology & Society, 18(1), 91–105. (IF=1.104, SSCI, Q2)

Chookaew, S., Panjaburee, P.*, Wanichsan, D., & Laosinchai, P. (2014). A Personalized e-Learning Environment to Promote Student's Conceptual Learning on Basic Computer Programming. Procedia - Social and Behavioral Sciences, 116(21), 815-819. 

Srisawasdi, N. & Panjaburee, P.* (2014). Technology-enhanced Learning in Science, Technology, and Mathematics Education: Results on Supporting Student Learning. Procedia - Social and Behavioral Sciences, 116(21), 946-950. 

Sheikh, S. S., Panjaburee, P.*, Laosinchai, P., Srisawasdi, N. (2013). Developing Learning Activity Based on the Learning Cycle Approach to Promote Students’ Understanding of Square Root. The International Journal of Science, Mathematics, and Technology Learning, 19(4), 71-81.

Piyayodilokchai, H., Panjaburee, P.*, Laosinchai, P., Ketpichainarong, W., & Ruenwongsa, P. (2013). A 5E Learning Cycle Approach–Based, Multimedia- Supplemented Instructional Unit for Structured Query Language. Educational Technology & Society, 16(4), 146–159. (IF=0.824, SSCI, Q2) 

Sinthsirimana, S. & Panjaburee, P.* (2013). A Development of Computer Programming Analyzer: A Case Study on PHP Programming Language. Journal of  Industrial and Intelligent Information, 1(3), 160-164. 

Hwang, G. J.*, Panjaburee, P., Shih, B. Y., Triampo, W. (2013). A group decision approach to developing concept effect models for diagnosing student learning problems. British Journal of Educational Technology, 44(3), 453–468. (IF=1.313, ISI, Q1)

Panjaburee, P., Triampo, W., Hwang*, G. J., Chuedoung, M., & Triampo, D. (2013). Development of a diagnostic and remedial learning system based on an enhanced concept effect model. Innovations in Education and Teaching International, 50(1), 72-84. (IF=0.676, SSCI, Q1)

Wanichsan, D., Panjaburee, P.*, Laosinchai, P., Triampo, W., & Chookaew, S. (2012). A majority-density approach to developing testing and diagnostic systems with the cooperation of multiple experts based on an enhanced concept–effect relationship model. Expert Systems with Applications, 39(9), 8380-8388. (IF=1.854, SCI, SSCI, Q1)

Piyayodilokchai H., Ruenwongsa, P., Ketpichainarong W., Laosinchai, P., Panjaburee, P*. (2011). Promoting students’ understanding of SQL in a database management course: a learning cycle approach. International Journal of Learning, 17(11), 325-337.

Panjaburee, P., Hwang, G. J., Triampo, W.*, & Shih, B. Y. (2010). A multi-expert approach for developing testing and diagnostic systems based on the concept effect model. Computers & Education, 55(2), 510-540. (IF=2.775, SSCI, Q1)

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