Wikipedia-based Learning Path Generation

Authors

  • Claudia Pérez Martínez Universidad Autónoma de Baja California
  • Gabriel López Morteo Universidad Autónoma de Baja California
  • Magally Martínez Reyes Universidad Autónoma de Baja California
  • Alexander Gelbukh IPN- Centro de Investigación en Computación

DOI:

https://doi.org/10.13053/cys-19-3-2079

Keywords:

Learning path, educational resources, Wikipedia, adaptive intelligent web-based educational systems, Spanish language

Abstract

We describe a method for automatic generation of a learning path for education or selfeducation. As a knowledge base, our method uses the semantic structure view from Wikipedia, leveraging on its broad variety of covered concepts. We evaluate our results by comparing them with the learning paths suggested by a group of teachers. Our algorithm is a useful tool for instructional design process.

Author Biographies

Claudia Pérez Martínez, Universidad Autónoma de Baja California

Received her Master degree in Computer Science from the Mexico State Autonomous University (Universidad Autónoma de Estado de México). She received her Master degree in Educational Technology from the Monterrey Institute of Technology (Instituto Tecnológico de Monterrey). She is pursuing a PhD at the Institute of Engineering, Baja California Autonomous University (Instituto de Ingeniería, Universidad Autónoma de Baja California).

Gabriel López Morteo, Universidad Autónoma de Baja California

Received his PhD degree in Computer Science from the Ensenada Center of Scientific Research and Higher Education (Centro de Investigación Científica y de Educación Superior de Ensenada). He has academic experience in computer assisted education, collaborative systems, process engineering, and Internet application development. He is a full time researcher at the Department of Computing and Informatics of Institute of Engineering of Baja California Autonomous University (Departamento de Computación e Informática del Instituto de Ingeniería de la Universidad Autónoma de Baja California). He carries out research in the field of computer science and applied informatics, oriented to electronic learning environments, interactive learning objects, and the behavior of learning virtual communities. He is coordinator of the Physics Engineering Area of the Baja California Institute of Engineering in Information Technologies (Instituto de Ingeniería en Tecnologías de la Información de Baja California, A.C.).

Magally Martínez Reyes, Universidad Autónoma de Baja California

Received a PhD degree in Mathematics Education from Centro de Investigación y Estudios Avanzados of Instituto Politécnico Nacional. She has a Bachelor degree and a Master degree in Mathematics by Universidad Nacional Autónoma de México. She is a member of the Sistema Nacional de Investigadores. Her research interest is development of educational software for learning mathematics. She is currently a full professor, with the PROMEP profile, of the Universidad Autónoma del Estado de México Valle de Chalco, associated with the program of Computer engineering and MSc in Computer Science. She has published several specialized articles in national and international journals on mathematics and computing.

Alexander Gelbukh, IPN- Centro de Investigación en Computación

Received his MSc degree in Mathematics from the Moscow State Lomonosov University, Russia, and a PhD degree in Computer Science from VINITI, Russia. He is currently a Research Professor and Head of the Natural Language Processing Laboratory of the Center for Computing Research (Centro de Investigación en Computación, CIC) of the Instituto Politécnico Nacional (IPN), Mexico, invited professor of the Universidad Nacional, Colombia, and visiting professor of the Moscow Sholokhov University for the Humanities. He is former President of the Mexican Society of Artificial Intelligence (SMIA). He is a Member of the Mexican Academy of Sciences and National Researcher of Mexico (SNI) at Excellence level 2. He is author or coauthor of more than 500 research publications in natural language processing and artificial intelligence.

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Published

2015-09-30

Issue

Vol. 19 No. 3 (2015): 19(3) 2015 Thematic issue: Vision and Robotics (Guest editors: S. Ortega, A. Pedroza, O. Carbajal, B. Castillo Toledo)

Section

Articles

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