Measuring Students' Stress with Mood Sensors: First Findings. - Henri Kajasilta; Mikko-Ville Apiola; Erno Lokkila; Ashok Kumar Veerasamy; Mikko-Jussi Laakso (ICWL, 2019)

Relationship between perceived problem-solving skills and academic performance of novice learners in introductory programming courses. - Ashok Kumar Veerasamy; Daryl J. D'Souza; Rolf Lindén; Mikko-Jussi Laakso (J. Comput. Assist. Learn., 2019)

Using early assessment performance as early warning signs to identify at-risk students in programming courses. - Ashok Kumar Veerasamy; Daryl J. D'Souza; Mikko-Ville Apiola; Mikko-Jussi Laakso; Tapio Salakoski (FIE, 2020)

Pedagogical Approaches in Computational Thinking-Integrated STEAM Learning Settings: A Literature Review. - Ashok Kumar Veerasamy; Peter Larsson; Mikko-Ville Apiola; Daryl J. D'Souza; Mikko-Jussi Laakso (SAI (3), 2021)

Predictive Models as Early Warning Systems: A Bayesian Classification Model to Identify At-Risk Students of Programming. - Ashok Kumar Veerasamy; Mikko-Jussi Laakso; Daryl J. D'Souza; Tapio Salakoski (SAI (2), 2021)

Formative assessment tasks as indicators of student engagement for predicting at-risk students in programming courses. - Ashok Kumar Veerasamy; Mikko-Jussi Laakso; Daryl J. D'Souza (Informatics Educ., 2022)