TELECI Approach for e-Learning User Behavior Data Visualization and Learning Support Algorithm

Kapenieks, Atis; Daugule, Iveta; Kapenieks, Kristaps; Zagorskis, Viktors; Kapenieks, Janis; Timsans, Zanis; Vītoliņa, Ieva

doi:10.22364/bjmc.2020.8.1.06

Cited by 2 publications

(1 citation statement)

References 10 publications

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“…For the four learning behavior datasets corresponding to L1, L2, T1 and T2, the execution results of the reference items can be described in the form of probability, but not the "Support" calculation mode. The expected "Support" of reference items should be used to describe the execution frequency of uncertain components [20], that is a feasible and target analysis strategy, which is the model basis for improving the Eclat framework.…”

Section: Improved Eclat Frameworkmentioning

confidence: 99%

Improved Probabilistic Frequent Itemset Analysis Strategy of Learning Behaviors Based on Eclat Framework

Xia¹

2022

Advances in Decision Making

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Interactive learning environment is the key support for education decision making, the corresponding analytics and methodology are the important part of educational technology research and development. As an important part and the research challenge, learning behaviors are uncertain and produce complex data relationships, which makes the learning analysis process more difficult. This chapter studies the feasibility of Eclat framework applying in educational decision making and get the corresponding the data analysis results. We take probabilistic frequent itemsets and association rules as research objectives, extract and standardize multiple data subsets; Based on Eclat framework, using data vertical format, we design and improve the models and algorithms in the process of data management and processing. The results show that the improved models and algorithms are effective and feasible. On the premise of ensuring robustness and stability, the mining quality of probabilistic frequent itemsets and association rules is guaranteed, which is conducive to the construction of key execution topology of learning behaviors, and improves the accuracy and reliability of data association analysis and decision prediction. The whole analysis methods and demonstration processes can provide references for the study of interactive learning environment, as well as decision suggestions and predictive feedback.

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Section: Improved Eclat Frameworkmentioning

confidence: 99%

Improved Probabilistic Frequent Itemset Analysis Strategy of Learning Behaviors Based on Eclat Framework

Xia¹

2022

Advances in Decision Making

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Spaced E-learning for Sustainable Education

Kapenieks

2020

Journal of Teacher Education for Sustainability

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The objective of the research is to determine e-learning solutions for the implementation of the spaced learning in university students’ sustainable education. In the spaced e-learning method, the course content includes few-minute pauses between repetitions, during which students let their brain “rest” with different content and then return to the course. Information technology solutions are based on the identification of students’ individual and situational interests and the following promotion of students’ interests for personal development by the content of spaces. Current research is oriented to the search for benefits from synergy of the technological and pedagogical e-learning developments. The study includes three cycles of education action research. The first and second cycles aim at finding the most effective method to include content for sustainable personality development in the course. At Riga Technical University, a prototype of two blended learning Master level courses was created and approbated with Master level students. Outcomes of the research were evaluated by reflection on students’ opinions and analysis of user behavior data in the e-learning environment OpenEdX. The results obtained in the first and second cycles of the action research and reflection are the basis for the conceptual development of the Living Lab solution in the MOODLE environment with personalized content. Technological solutions for the implementation of personalized content of spaces for personality development are based on the student’s self-assessment of his/her individual interests. The research shows the potential of the spaced e-learning for instructional learning and personality development, thus leading to learning for sustainability in the broadest sense as a perspective of pedagogy with inherently sustainable nature, that we denote as “fostering” in the study. The spaced e-learning method was seriously influenced by the COVID-19 crisis due to the replacement of blended learning with fully online learning.

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TELECI Approach for e-Learning User Behavior Data Visualization and Learning Support Algorithm

Cited by 2 publications

References 10 publications

Improved Probabilistic Frequent Itemset Analysis Strategy of Learning Behaviors Based on Eclat Framework

Improved Probabilistic Frequent Itemset Analysis Strategy of Learning Behaviors Based on Eclat Framework

Spaced E-learning for Sustainable Education

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