enseñanza en línea e híbrida

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

The growth and uptake of educational technology has significantly reshaped the delivery of distance and online learning. With an unprecedented number of learners engaging with online modes of education, there is a growing need to understand the underlying student enrolment motivations, goals and learning behaviours evolving from a highly diverse student population. Research in learning analytics has advanced the use of digital data to understand student learning processes. However, there remains a limited understanding of how non-traditional learner characteristics, needs and motivational factors influence their learning behaviour and engagement strategies. Survey data from 232 students...

Una Experiencia de Clases Sincrónicas en línea

Marta Genís Pedra, María Teresa Martín de Lama (2013)

Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas

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Tipo: artículo

Metodología: experiencia práctica

Temas: enseñanza en línea e híbrida

Resumen:

The M. A. in Bilingual Education at Nebrija University includes a diverse set of training tools which aims to facilitate the acquisition of various skills, among which language skills are the most important ones. As part of an active teaching method, the student is the protagonist of his own learning and the teacher is the expert in the field, the connoisseur of the best means to transmit knowledge and to help students improve their learning strategies. The teaching methodology used is blended learning, combining face-to-face and online classes through the virtual campus, a collaborative platform which makes use of typical e-learning educational spaces such as fora, chats, links, task box...

Affective computing in online higher education: A systematic literature review

Krist Shingjergji, Deniz Iren, Corrie Urlings (2026)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Although affective states play a crucial role in education, they are often difficult to communicate and observe in online learning environments. This challenge has led to growing research on systems that can automatically detect affective states. This systematic literature review used PRISMA to analyze 96 studies on affective computing in online higher education, published between 2019 and 2024. The findings show that the most frequently studied affective states include learning-centered states, such as engagement, confusion, frustration, sentiment, as well as basic emotions, such as happiness, anger, sadness, surprise, and fear. Terminology often overlaps, and basic emotions are commonly...

Learning pattern classification using moodle logs and the visualization of browsing processes by time-series cross-section

Konomu Dobashi, Curtis P. Ho, Catherine P. Fulford (2022)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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...

Automatic feedback in online learning environments: A systematic literature review

Anderson Pinheiro Cavalcanti, Arthur Barbosa, Ruan Carvalho (2021)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Feedback is an essential component of scaffolding for learning. Feedback provides insights into the assistance of learners in terms of achieving learning goals and improving self-regulated skills. In online courses, feedback becomes even more critical since instructors and students are separated geographically and physically. In this context, feedback allows the instructor to customize learning content according to the students' needs. However, giving feedback is a challenging task for instructors, especially in contexts of large cohorts. As a result, several automatic feedback systems have been proposed to reduce the workload on the part of the instructor. Although these systems have...

From procrastination to engagement? An experimental exploration of the effects of an adaptive virtual assistant on self-regulation in online learning

Eduard Pogorskiy, Jens F. Beckmann (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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Compared to traditional classroom learning, success in online learning tends to depend more on the learner’s skill to self-regulate. Self-regulation is a complex meta-cognitive skill set that can be acquired. This study explores the effectiveness of a virtual learning assistant in terms of (a) developmental, (b) general compensatory, and (c) differential compensatory effects on learners’ self-regulatory skills in a sample of N = 157 online learners using an experimental intervention-control group design. Methods employed include behavioural trace data as well as self-reporting measures. Participants provided demographic information and responded to a 24-item self-regulation...

Dusting for fingerprints: Tracking online student engagement

Abel Armas-Cervantes, Ehsan Abedin, Farbod Taymouri (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Hybrid learning strategies blend face-to-face instruction with online components, using Learning Management Systems (LMSs) as key platforms for educational resources. In strategies like the flipped classroom, students need to follow a specific learning pathway to complete certain activities in the LMS before class. This includes watching videos and completing readings and quizzes, to prepare for hands-on exercises during classroom time. Consistent student engagement with this approach is vital for success – but in large subjects with hundreds of enrolments, monitoring that engagement is a complex task. Using the data collected in an LMS, this paper presents an approach for detecting...

How students’ self-assessment behavior affects their online learning performance

Albert C.M. Yang, Irene Y.L. Chen, Brendan Flanagan (2022)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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...

Implicaciones del uso de una plataforma online como sustitución al libro de texto

Anais Holgado Lage (2020)

Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas

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Tipo: artículo

Metodología: estudio empírico

Temas: tecnología educativa

Resumen:

Las nuevas tecnologías están cambiando nuestra forma de interactuar con el mundo que nos rodea, y, como es lógico, también la manera en que enseñamos las lenguas. En este trabajo se justifica, describe y evalúa una innovadora experiencia curricular y didáctica a nivel universitario, donde en algunos cursos de español se ha sustituido completamente el libro de texto por una plataforma interactiva, diseñada específicamente para los estudiantes a los que se ofrecen estos cursos. Se analizará en detalle el proceso de creación, especialmente las dificultades y los problemas enfrentados, y los resultados de una encuesta de satisfacción realizada al alumnado durante los primeros semestres de uso...

From teachers to chatbots: Scaffolded corrective feedback and student trust in online L2 English classrooms

Ali Soyoof, Barry Lee Reynolds, Ehsan Rassaei (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Teacher corrective feedback (TCF) plays a vital role in second language (L2) learning. Recent studies have examined feedback provided by both human teachers and large language models (LLMs). However, little is known about how students' trust differs toward scaffolded corrective feedback (SCF)—that is, feedback that incrementally progresses from indirect to direct during interaction—when it is provided by an LLM such as ChatGPT versus a language teacher. To address this gap, this study compared the effects of SCF, delivered by language teachers and ChatGPT, on L2 learning outcomes and student trust. Using a mixed-methods design, 40 lower-intermediate Iranian learners of English as a foreign...