Ontology-Based Information Extraction from Spanish Forum

Peña, Willy; Melgar, Andrés

doi:10.1007/978-3-319-24069-5_33

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…Given the low completion levels for MOOCs, participants who complete the final evaluation will most likely be those who completed the course, which means a) there will be fewer total participants and the survey will not be representative, and b) the voice of students who dropped out may not be heard. Also, phrasing of any questionnaire can be biased [4] therefore collecting student opinions through natural discourse or interaction, without any kind of prompts, is more effective.…”

Section: Introductionmentioning

confidence: 99%

Improving MOOCs Using Information From Discussion Forums: An Opinion Summarization and Suggestion Mining Approach

Almatrafi

Johri

2022

IEEE Access

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Discussion forums are integral to MOOCs and a useful resource for collaborative learning. In this paper we examine if the the posts made on forums by participants can also provide meaningful information to assess and improve the effectiveness of MOOCs. We present an empirical approach that uses posts in MOOC forums to summarize participants' opinion towards aspects of a course and identify suggestions for improving a course. Specifically, our approach: (1) detects participants' attitude towards aspects of a course (e.g. professor, lecture, assignment) at a context or sentence level, (2) extracts suggestions for course improvement, which is a novel space in MOOC learning analytics, and (3) aggregates and displays the results visually. The study used lexicon and rule-based approach and was able to identify aspect-based sentiments and suggestions related to course design elements with a good overall score (0.41 kappa score). By summarizing opinions from a vast amount of textual data on forums our approach allows instructors to improve their course and thereby student engagement and learning.

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Section: Introductionmentioning

confidence: 99%

Improving MOOCs Using Information From Discussion Forums: An Opinion Summarization and Suggestion Mining Approach

Almatrafi

Johri

2022

IEEE Access

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“…The detection of weak target signals from strong noise background by human autonomous devices is a core issue in the field of signal processing (Pena et al 2015). In practice, noise and signal coexist, and in the process of measurement, it is often affected by the noise of the measuring instrument itself, and it is often difficult to achieve the desired test result.…”

Section: Introductionmentioning

confidence: 99%

Human-autonomous devices for weak signal detection method based on multimedia chaos theory

Zhu

Lin

et al. 2020

J Ambient Intell Human Comput

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The detection of weak signals has been widely used in communication, radar and other fields. The detection of weak signals in the background of strong noise is an important research hotspot of modern information theory, and prompts people to explore and study new theories and new methods of weak signal detection. The device takes Holmes-type Duffing mapping as the research object, and uses the Lyapunov exponent as the criterion for chaos identification. The chaotic critical value of the equation is changed from chaotic state to periodic state. Whether it contains the detection algorithm of the target signal, the signal detection for the unknown frequency and the Holmes-type Duffing system is improved by the sliding mode variable structure control method in the control theory. The simulation results show that the improved chaotic Duffing system can effectively suppress the noise and detect the frequency of the weak signal through the power spectrum of the system.

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Extracting Urgent Questions from MOOC Discussions: A BERT-Based Multi-output Classification Approach

Sultani,

Daneshpour

2024

Arab J Sci Eng

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Ontology-Based Information Extraction from Spanish Forum

Cited by 3 publications

References 11 publications

Improving MOOCs Using Information From Discussion Forums: An Opinion Summarization and Suggestion Mining Approach

Improving MOOCs Using Information From Discussion Forums: An Opinion Summarization and Suggestion Mining Approach

Human-autonomous devices for weak signal detection method based on multimedia chaos theory

Extracting Urgent Questions from MOOC Discussions: A BERT-Based Multi-output Classification Approach

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