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CONCEPTUAL FRAMEWORK
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CONCEPTUAL FRAMEWORK
Artificial Intelligence Tools
- Artificial Intelligence (AI) tools are digital systems capable of simulating human cognitive functions such as learning, reasoning, and decision-making. In educational settings, AI tools support learning by offering real-time feedback, adaptive content, and automated tutoring tailored to individual learners’ needs. Maher, M., Omar, J., & Jian, F. (n.d.) – Personalized learning through AI
- Types
- Chatbots Yao & Wu, 2023
- Virtual tutors and assistants Maher et al., n.d.; Johnson et al., 2013 (cited in Maher et al.)
- Content recommendation systems Yao & Wu, 2023; Kanchon et al., 2024
- Adaptive learning platforms López López et al., 2023
- Grammar & writing tools (e.g., Grammarly, Quillbot) Kohnke et al., 2025
- Functions
- Real-time feedback Maher et al., n.d.
- Learning style detection Kanchon et al., 2024
- Adaptive content generation Vija Baquero & Dávila Rubio, 2024
- Student progress tracking López López et al., 2023
- Benefits
- Improved performance Maher et al., n.d.
- Motivation & autonomy Bernal Parraga et al., 2025
- Personalized pace & style Kanchon et al., 2024
- Challenges
- Technological access Vija Baquero & Dávila Rubio, 2024
- Ethical concerns Maher et al., n.d.
- Types
- Artificial Intelligence (AI) tools are digital systems capable of simulating human cognitive functions such as learning, reasoning, and decision-making. In educational settings, AI tools support learning by offering real-time feedback, adaptive content, and automated tutoring tailored to individual learners’ needs. Maher, M., Omar, J., & Jian, F. (n.d.) – Personalized learning through AI
Learning Personalization
- Personalization in education refers to the process of adapting learning content, methods, pace, and feedback to meet the specific needs, interests, and learning styles of each individual learner. Bernal Parraga, D., Ariza, A. C., & Gómez, L. A. (2025)
- Types
- Content, process, pace, feedback personalization (Maher et al., n.d. )
- Methods
- Adaptive systems Kanchon et al., 2024
- AI tutoring & feedback tools Maher et al., n.d.
- Style recognition (VAK) Kanchon et al., 2024
- Progress tracking López López et al., 2023
- Benefits
- Engagement & motivation Kohnke et al., 2025
- Retention & understanding Maher et al., n.d.
- Autonomy Bernal Parraga et al., 2025
- Challenges
- Over-reliance on AI Maher et al., n.d.
- Equity/access Vija Baquero & Dávila Rubio, 2024
- Data privacy Maher et al., n.d.
- Types
- Personalization in education refers to the process of adapting learning content, methods, pace, and feedback to meet the specific needs, interests, and learning styles of each individual learner. Bernal Parraga, D., Ariza, A. C., & Gómez, L. A. (2025)
Virtual Learning Environment (VLE)
- A Virtual Learning Environment (VLE) refers to an online platform or system that supports teaching and learning by providing access to instructional materials, communication tools, interactive tasks, and tracking of learner progress—often enhanced by technologies like Artificial Intelligence. López López, M. A., Rivera Escalera, R. S., & Rossell Cruz García, R. (2023)
- Functions
- Centralizes course content and activities Maher et al., n.d.
- Enables real-time communication and feedback Maher et al., n.d.; Kohnke et al., 2025
- Supports tracking of student behavior and performance López López et al., 2023
- Integrates AI to enhance personalization Kanchon et al., 2024
- Benefits
- Flexible access to learning Vija Baquero & Dávila Rubio, 2024
- Support for autonomous learning López López et al., 2023
- Facilitates data collection for AI analysis Kanchon et al., 2024
- Challenges
- Digital divide and unequal access Vija Baquero & Dávila Rubio, 2024
- Lack of teacher training in digital tools Bernal Parraga et al., 2025
- Risk of dehumanization of learning Maher et al., n.d.
- Functions
- A Virtual Learning Environment (VLE) refers to an online platform or system that supports teaching and learning by providing access to instructional materials, communication tools, interactive tasks, and tracking of learner progress—often enhanced by technologies like Artificial Intelligence. López López, M. A., Rivera Escalera, R. S., & Rossell Cruz García, R. (2023)
Language Learning
- English language learning refers to the process of acquiring proficiency in English through the development of the four key language skills: listening, speaking, reading, and writing. In virtual environments, language learning can be supported and enhanced by AI tools that offer personalized, interactive, and autonomous learning experiences. Bernal Parraga, D., Ariza, A. C., & Gómez, L. A. (2025)
- Language Skills
- Listening, speaking, reading, writing Kohnke et al., 2025
- Role of AI in language learning
- Grammar correction and writing support (Grammarly, Quillbot) Kohnke et al., 2025
- Vocabulary building through gamified platforms Vija Baquero & Dávila Rubio, 2024
- Pronunciation and speaking practice with chatbots Yao & Wu, 2023
- Real-time, personalized feedback Bernal Parraga et al., 2025
- Learning modes
- Autonomous learning (self-paced tasks) Maher et al., n.d.
- Blended and fully virtual learning López López et al., 2023
- Task-based learning with AI integration Vija Baquero & Dávila Rubio, 2024
- Language Skills
- English language learning refers to the process of acquiring proficiency in English through the development of the four key language skills: listening, speaking, reading, and writing. In virtual environments, language learning can be supported and enhanced by AI tools that offer personalized, interactive, and autonomous learning experiences. Bernal Parraga, D., Ariza, A. C., & Gómez, L. A. (2025)
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- Mind Map on CONCEPTUAL FRAMEWORK, created by Karla Nicole Barrera Caicedo on 07/04/2025.
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- Karla Nicole Barrera Caicedo
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