Prediction of Students' Academic Performance in the Programming Fundamentals Course Using Long Short-Term Memory Neural Networks.
Luis VivesIvan CabezasJuan Carlos Vives GarniqueNilton German ReyesJanet AquinoJose Bautista CóndorS. Francisco Segura AltamiranoPublished in: IEEE Access (2024)
Keyphrases
- neural network
- recurrent neural networks
- long short term memory
- programming course
- computer science education
- computer programming
- programming education
- introductory programming
- student learning
- prediction accuracy
- learning experience
- prediction model
- programming skills
- learning environment
- learning activities
- special education
- collaborative learning
- artificial neural networks
- introductory computer science
- information literacy
- computer engineering
- learning computer programming
- distance learning
- computer science curriculum
- higher education
- learning styles
- post secondary
- computer software
- neural networks and support vector machines
- programming language
- computer programs
- high school
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- feed forward
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- intelligent tutoring systems
- learning outcomes
- back propagation
- undergraduate engineering
- national science foundation
- online discussion forums
- elementary school
- novice programmers
- university level
- online environment
- learning process
- e learning
- genetic algorithm
- java programming
- semi structured interviews
- state university
- lego mindstorms
- grounded theory
- multi layer perceptron
- hong kong
- distance education
- learning tools