Should We Consider Efficiency and Constancy for Adaptation in Intelligent Tutoring Systems?
| Autor: | Pedro Manuel Moreno-Marcos, Pedro J. Muñoz-Merino, Dánae Martínez de la Torre, Gabriel González Castro, Carlos Delgado Kloos |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
050101 languages & linguistics
Correctness Computer science business.industry 05 social sciences Work (physics) Learning analytics 02 engineering and technology Similar time Machine learning computer.software_genre Constant (computer programming) ComputingMilieux_COMPUTERSANDEDUCATION 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 0501 psychology and cognitive sciences Artificial intelligence Dimension (data warehouse) business Adaptation (computer science) computer |
| Zdroj: | Intelligent Tutoring Systems ISBN: 9783030496623 ITS |
| Popis: | Intelligent Tutoring Systems (ITSs) usually make adaptation decisions based on user models that rely on students’ knowledge. However, there are other interesting indicators, which could be used for adaptation that need further exploration. Students’ efficiency (defined as whether they require a lot of time to achieve correctness in their exercises) and constancy (defined as whether they spend a similar time each day they take exercises in the ITS) are two of these indicators. This work aims to analyze 1) how these variables are distributed among students, 2) their evolution over time, and 3) how they are related to other outcomes. Results show that there are different profiles based on the efficiency; e.g., students with low efficiency that need a lot of time to solve exercises correctly, and low reflective students, among others. Furthermore, efficiency and constancy do not vary on average throughout the course. In addition, students are less constant in their daily time spent when their total time spent and average time per exercise is higher, and more efficient students tend to be more constant. Finally, it was found that neither efficiency nor constancy correlate with better grades. The existence of different profiles based on these variables and that they add a different dimension from student knowledge based on answer on exercises suggest that ITSs can make adaptation based on efficiency and constancy. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|