Educational Data Mining and Learning Analytics in Programming

Petri Ihantola, Arto Vihavainen, Alireza Ahadi, +13

Exploring Machine Learning Methods to Automatically Identify Students in Need of Assistance

Alireza Ahadi, Raymond Lister, Heikki Haapala, +1

Artificial IntelligenceProcess DataEngineeringMachine LearningEducation +20

Extreme apprenticeship method in teaching programming for beginners

Arto Vihavainen, Matti Paksula, Matti Luukkainen

Artificial IntelligenceEngineeringEducationIntelligent SystemsLearning-by-doing +15

Scaffolding students' learning using test my code

Arto Vihavainen, Thomas Vikberg, Matti Luukkainen, +1

Assessment SystemEngineeringEducationSoftware EngineeringSoftware Engineering Education +14

Multi-faceted support for MOOC in programming

Arto Vihavainen, Matti Luukkainen, Jaakko Kurhila

E-learningEngineeringEducationSoftware EngineeringOnline Learning +14

Automatic Inference of Programming Performance and Experience from Typing Patterns

Juho Leinonen, Krista Longi, Arto Klami, +1

Typing PatternsEngineeringEducationSoftware EngineeringSoftware Engineering Education +21

Do we know how difficult the rainfall problem is?

Otto Seppälä, Petri Ihantola, Essi Isohanni, +2

EngineeringMultiple Programming ParadigmsComputational LiteracyEducationSoftware Engineering Education +17

Students' Syntactic Mistakes in Writing Seven Different Types of SQL Queries and its Application to Predicting Students' Success

Alireza Ahadi, Vahid Behbood, Arto Vihavainen, +2

EngineeringEducationStudent OutcomeCorpus LinguisticsText Mining +18

Increasing Adoption of Smart Learning Content for Computer Science Education

Peter Brusilovsky, Stephen H. Edwards, Amruth N. Kumar, +10

Teacher EducationDigital Learning EnvironmentInteractive LearningEngineeringComputer Science Educators +11

Automatically detectable indicators of programming assignment difficulty

Petri Ihantola, Juha Sorva, Arto Vihavainen

Automatic FeedbackDifferent MetricsEngineeringEducationSoftware Engineering +15