Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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With the advances in Artificial Intelligence (AI) and the increasing volume of online educational data, Deep Learning techniques have played a critical role in predicting student performance. Recent developments have assisted instructors in determining the strengths and weaknesses of student achievement. This understanding will benefit from adopting the necessary interventions to assist students in improving their performance, helping at-risk of failure students, and preventing dropout rates. The review analyzed 46 studies between 2019 and 2023 that apply one or more Deep Learning (DL) techniques, either single or in combination with Machine Learning (ML) or Ensemble Learning techniques....

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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In recent years, distance learning using learning management and e-book systems has been actively conducted in higher education institutions and various other organizations. It is possible to collect and analyze learning logs even in classes with many learners, including clickstreams and quiz scores in detail for each individual. This research proposes using Moodle's learning logs to classify learning patterns and outliers in order to identify struggling learners. The proposed method uses the descriptive statistics between the learner's teaching material clickstream and the final test score accumulated in Moodle, and students can be classified into four learning patterns. The frequency of...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Previous studies have found that the frequency and the regularity of taking the self-assessment are positively correlated with learning performance. However, as artificial intelligence is widely used for self-assessment in various educational contexts, numerous behaviors have been identified, including nonstandard behaviors that can negatively impact learning. Therefore, more analysis regarding students' self-assessment behaviors in different contexts and their influence on learning is required. In this study, we examined students’ behaviors in online self-assessment task and how it affects their learning performance. A 6-week experiment was conducted in an accounting course. Students were...

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

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Despite significant advancements in AI-driven educational systems and ongoing calls for responsible AI for education, several critical issues remain unresolved—acting as elephant in the room within AI in education, learning analytics, educational data mining, learning sciences, and educational psychology communities. This critical analysis identifies and examines nine persistent challenges across the conceptual, methodological, and ethical dimensions that continue to undermine the fairness, transparency, and effectiveness of current AI methods and applications in education. These include: 1) the lack of clarity around what AI for education truly means—often ignoring the distinct purposes,...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Most higher education institutions employ study advisors to support their students. To adequately perform their task, study advisors have access to study information about their students. Using AI techniques to analyze that information and to predict if a student might be at risk of study delay could be a valuable tool in study advisors' practice. In this paper, we present a use case of how such a tool was developed (in the form of a dashboard) and which steps and considerations played a role in the responsible deployment of the tool. Three aspects are described: first, we present the timeline of the case study and zoom in on how the macro-level of the institution (where the groundwork is...

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Metodología: estudio empírico

Temas: inteligencia artificial

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This study aimed at developing an instructional tool for the artificial intelligence education of young students, and used learning analytics to identify the sequential learning behavioral patterns of students during the process of learning with the instructional tool. The instructional experiment took 9 weeks. The first stage of the course was 5 weeks spent on individual learning of MIT App Inventor and Personal Image Classifier. The second stage was 4 weeks spent on cooperative learning to make a robot car and play a computational thinking board game. In the second stage, the students worked in pairs to make the robot car. Finally, they played the computational thinking board game with...

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Metodología: trabajo teórico

Temas: inteligencia artificial

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Baker et al. (2021) recently proposed using a philosophical framework to classify learning analytics research in terms of four paradigms. Here I build on their theme of reflecting on philosophical differences in different approaches to learning analytics. I first present two limitations of their classification, which raise questions for how to best classify different approaches in learning analytics. In an attempt to resolve these questions, I draw upon the bias-variance tradeoff from machine learning and show how different learning analytics approaches can be viewed in terms of their positions on the tradeoff. However, I claim that this is not enough, as we must also be attuned to the...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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With the advent of artificial intelligence, most of the main techniques have found their way into intelligent education. Knowledge tracing is one of the essential tasks in educational research, which aims to model and qualify students' procedural knowledge acquisition using machine learning or deep learning techniques. While numerous studies have focused on improving models and algorithms of knowledge tracing, few have thoroughly examined the dynamic and complex aspects of this research field. This study conducts a bibliometric analysis that included 383 key articles published between 1992 and 2021 to review the evolutionary nuances of knowledge tracing research. Besides, we employ document...

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Metodología: estudio empírico

Temas: inteligencia artificial

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This research explored the typologies of self-regulated learners in an asynchronous online Chemistry I (OCI) course of an undergraduate active learning program. Student readiness and capability regarding self-regulated learning (SRL), the activity logs in the learning management system, and academic achievement were collected to investigate behavioral sequences of different typologies of learning self-regulation. Seventeen students who took OCI in the 2019 school year were recruited for the study. Through learning analytics for the 3965 behavioral codes, the study generated three key results. First, hierarchical cluster analysis classified two typologies of self-regulated online learners:...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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The proliferation of educational technologies has generated unprecedented volumes of diverse, multimodal learner data, offering rich insights into learning processes and outcomes. However, leveraging this complex, multimodal data requires advanced analytical methods. While Multimodal Learning Analytics (MMLA) offers promise for exploring this data, the potential of Artificial Intelligence (AI) to enhance MMLA remains largely unexplored. This paper bridges these two evolving domains by conducting the first systematic literature review at the intersection of AI and MMLA, analyzing 43 peer-reviewed papers from 11 reputable databases published between 2019 and 2024. The findings indicate a...

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