The Potential of Open Data to Automatically Create Learning Resources for Smart Learning Environments

Abstract

Smart Education requires bridging formal and informal learning experience. However, how to create contextualized learning resources that support this bridging remains a problem. In this paper, we propose to exploit the open data available in the Web to automatically create contextualized learning resources. Our preliminary results are promising, as our system creates thousands of learning resources related to formal education concepts and physical locations in the student's local municipality. As part of our future work, we will explore how to integrate these resources into a Smart Learning Environment.

Smart Learning Environment (SLE) in the Fourth Industrial Revolution (IR 4.0)

“…In particular, the attempts to advance the achievement of innovative atmosphere in learning enhancement should bring an expansion of strengthening the learning style to be more engaged with the smart technology pathway in IR 4.0 based instructional design (Warner, 2019). The particular way of having the interaction in the effort to accomplish the learning style is widely a potential value to encourage the practice to be more actively involved into the skills of learning enhancement (Ruiz-Calleja et al, 2019). The enhancement here refers to the significant approach of learning process adopted with IR 4.0 smart technology to improve thoughtful abilities consequently in boosting the extent of confidence.…”

“…Moreover, the wide range of flexibility in the learning enhancement could come from the implementation stage of strategic approach in the way to underlie the responsive engagement. With such learning outcomes, the flexible learning is determined to have an achievement access practiced through implementing the responsive approach (Ruiz-Calleja et al, 2019). The particular enhancement of transmitting an online platform for the learning sources refers to make an eventual empowerment configured in supporting the learning flexibility.…”

CasualLearn: A Smart Application to Learn History of Art

“…Our approach to overcome the abovementioned problem is to build a collection of learning tasks to be recommended to the learner based on the topics covered in her formal education and her context. In our previous work [3] we semiautomatically created such collection of 16,221 tasks out of data openly available in the Web. More specifically, we imported the description of 2,176 historical buildings of the Spanish region of Castile and Leon from three sources: DBpedia 1 , Wikidata 2 and the dataset of buildings declared as Assets of Cultural Interest 3 in the Open Data portal of the regional government.…”

“…This task is contextualized in the geolocation of the first building, is related to some keywords (e.g., "Romanesque" or "Gothic") and the level "analyze" of the Bloom taxonomy. More details about the data generation process are provided in [3]. In this work we present CasualLearn, a content-based and context-aware recommender [5] that exploits this collection to propose meaningful informal learning tasks to students during their daily life.…”

“…Software architecture of CasualLearn. Details about Contextualized Learning Tasks and Learning Task Service can be found at[3].…”