||國家教育研究院. (2018). 十二年國民基本教育課程綱要國民中學暨普通型高級中等學校-科技領域.|
ACARA. (2013). Draft Australian curriculum technologies. Retrieved from http://docs.acara.edu.au/resources/Draft_Australian_Curriculum_Technologies_-_Consultation_Report_-_August_2013.pdf
CSTA, K. (2011). Computer science standards. Computer Science Teachers Association.
Dernoncourt, F., Taylor, C., O’Reilly, U.-M., Veeramachaneni, K., Wu, S., Do, C., & Halawa, S. (2013). MoocViz: A large scale, open access, collaborative, data analytics platform for MOOCs. Paper presented at the NIPS workshop on data-driven education, Lake Tahoe, Nevada. Retrieved from http://groups. csail. mit. edu/EVO-DesignOpt/groupWebSite/uploads/Site/MoocViz. pdf.
Govaerts, S., Verbert, K., Duval, E., & Pardo, A. (2012). The student activity meter for awareness and self-reflection. Paper presented at the CHI′12 Extended Abstracts on Human Factors in Computing Systems.
Grover, S., & Pea, R. J. E. r. (2013). Computational thinking in K–12: A review of the state of the field. 42(1), 38-43.
Jackson, J., Cobb, M., & Carver, C. (2005). Identifying top Java errors for novice programmers. Paper presented at the Proceedings Frontiers in Education 35th Annual Conference.
Kuzilek, J., Hlosta, M., Herrmannova, D., Zdrahal, Z., & Wolff, A. J. L. A. R. (2015). OU Analyse: analysing at-risk students at The Open University. 1-16.
Lu, O. H., Huang, A. Y., Huang, J. C., Lin, A. J., Ogata, H., Yang, S. J. J. J. o. E. T., & Society. (2018). Applying Learning Analytics for the Early Prediction of Students′ Academic Performance in Blended Learning. 21(2), 220-232.
Moreno-León, J., & Robles, G. (2015). Analyze your Scratch projects with Dr. Scratch and assess your computational thinking skills. Paper presented at the Scratch conference.
Morimoto, Y., Kurasawa, K., Yokoyama, S., Ueno, M., & Miyadera, Y. (2006). A support system for teaching computer programming based on the analysis of compilation errors. Paper presented at the Sixth IEEE International Conference on Advanced Learning Technologies (ICALT′06).
Romero, C., López, M.-I., Luna, J.-M., Ventura, S. J. C., & Education. (2013). Predicting students′ final performance from participation in on-line discussion forums. 68, 458-472.
Shi, C., Fu, S., Chen, Q., & Qu, H. (2015). Vismooc: Visualizing video clickstream data from massive open online courses. Paper presented at the 2015 IEEE Pacific visualization symposium (PacificVis).
Techapalokul, P., & Tilevich, E. (2017). Novice Programmers and Software Quality: Trends and Implications. Paper presented at the 2017 IEEE 30th Conference on Software Engineering Education and Training (CSEE&T).
UK DFE (2013). National curriculum in England: computing programmes of study. Retrieved from https://www.gov.uk/government/publications/national-curriculum-in-england-computing-programmes-of-study/national-curriculum-in-england-computing-programmes-of-study
Vee, M., Meyer, B., & Mannock, K. L. (2006). Understanding novice errors and error paths in object-oriented programming through log analysis. Paper presented at the Proceedings of workshop on educational data mining at the 8th international conference on intelligent tutoring systems (ITS 2006).
Werner, L., Denner, J., Campe, S., & Kawamoto, D. C. (2012). The fairy performance assessment: measuring computational thinking in middle school. Paper presented at the Proceedings of the 43rd ACM technical symposium on Computer Science Education.
Wing, J. M. J. C. o. t. A. (2006). Computational thinking. 49(3), 33-35.
Yin, C., Yamada, M., Oi, M., Shimada, A., Okubo, F., Kojima, K., & Ogata, H. J. I. J. o. H. C. I. (2019). Exploring the Relationships between Reading Behavior Patterns and Learning Outcomes Based on Log Data from E-Books: A Human Factor Approach. 35(4-5), 313-322.