2022 | Bibliografía fecha

As in previous decades, demographic, financial and market forces continue to drive the increased migration inflows to recipient countries. Humanitarian reasons are, in turn, currently becoming the main impetus for migrants, who oftentimes flee situations of extreme vulnerability and distress in their countries of origin. The uprooting caused by forced migration must be met with efforts to support migrants’ emotional regrounding in host communities. Such integration greatly depends on social and economic inclusion, especially through access to quality employment opportunities. This paper examines contributions from previous research exploring a range of literacies aimed at securing...

La alfabetización de adultos en lengua extranjera con herramientas digitales

Beatriz Peña Acuña, Anna Izabella Cislowska (2022)

Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas

Detalles Cerrar ✕

Tipo: artículo

Metodología: revisión bibliográfica

Temas: alfabetización

Resumen:

Esta disertación revisa 10 artículos científicos en la última década con respecto a la alfabetización de adultos en lengua extranjera con herramientas digitales. Al llevar a cabo esta revisión se apuntan las tendencias de las temáticas abordadas, los objetivos de estudio y la metodología que se aplica. Se tiene en cuenta la consulta de las bases de datos WOS y Scopus para la selección de artículos de impacto y tesis de posgrado en línea. Asimismo, tras el análisis de documentos, se subrayan autores especializados como Heather Lotherington. Entre las conclusiones se formula que las herramientas digitales multimodales de las que se habla en relación a adultos para el aprendizaje de segundas...

The development and implementation of a computer adaptive progress test across European countries

Neil Rice, José Miguel Pêgo, Carlos Fernando Collares (2022)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Longitudinal progress testing promotes self-directed deep learning across a full spectrum of knowledge, enabling early detection of underperformance and opportunities for remediation. Computer adaptive testing (CAT), where the difficulty of a test dynamically adjusts according to a test taker's ability, has benefits in a progress testing context, but significant resource and experience is required to develop appropriate test materials. This study describes how a transnational consortium from eight medical schools in five countries across Europe was formed to develop a computer adaptive progress test applicable across international curricula. 1,212 students from more than 40 nationalities...

The concept of hybrid human-AI regulation: Exemplifying how to support young learners’ self-regulated learning

Inge Molenaar (2022)

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

Hybrid systems combining artificial and human intelligence hold great promise for training human skills. In this paper, I position the concept of Hybrid Human-AI Regulation and illustrate this with an example of a first prototype of a Hybrid Human-AI Regulation (HHAIR) system. HHAIR supports self-regulated learning (SRL) in the context of adaptive learning technologies (ALTs) with the aim to develop learners' self-regulated learning skills. This prototype targets young learners (10–14 years) for whom SRL skills are critical in today's society. Many of these learners use ALTs to learn mathematics and languages every day in school. ALTs optimize learning based on learners' performance data,...

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

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

Detalles Cerrar ✕

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...

Teachers’ readiness and intention to teach artificial intelligence in schools

Musa Adekunle Ayanwale, Ismaila Temitayo Sanusi, Owolabi Paul Adelana (2022)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

The emergence of artificial intelligence (AI) as a subject to be incorporated into K-12 educational levels places new demand on relevant stakeholders, especially teachers that drive the teaching and learning process. It is therefore important to understand how ready teachers are to teach the emerging subject as the success of AI education would probably be closely dependent on the readiness of teachers. As a result, this study presents an insight into factors influencing the behavioural intention and readiness of Nigerian in-service teachers to teach artificial intelligence. A total of 368 teachers, from elementary to high school participated in the study. We utilised quantitative...

Knowledge tracing: A bibliometric analysis

Tongxi Liu (2022)

Detalles Cerrar ✕

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

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...

Lower secondary students’ poetry writing with the AI-based Poetry Machine

Arja Kangasharju, Liisa Ilomäki, Minna Lakkala (2022)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Despite poetry’s important role in improving linguistic skills and creative thinking, students often find poetry writing to be difficult and boring. This study is an investigation of how the digital Poetry Machine influences students’ poetry writing by applying AI techniques. It uses qualitative and quantitative analysis of the log data of poems that the seventh graders wrote with the Poetry Machine. The results show that the draft poems functioned as affordances, which the students followed as models. The drafts encouraged students to experiment with several different poetic features. The data suggest an association between the number of edited versions and the quality of the final poem....

Appraisal of high-stake examinations during SARS-CoV-2 emergency with responsible and transparent AI: Evidence of fair and detrimental assessment

MD. Rayhan, MD. Golam Rabiul Alam, M. Ali Akber Dewan (2022)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

In situations like the coronavirus pandemic, colleges and universities are forced to limit their offline and regular academic activities. Extended postponement of high-stakes exams due to health risk hereby reduces productivity and progress in later years. Several countries decided to organize the exams online. Since many other countries with large education boards had an inadequate infrastructure and insufficient resources during the emergency, education policy experts considered a solution to simultaneously protect public health and fully resume high-stakes exams -by canceling offline exam and introducing a uniform assessment process to be followed across the states and education boards....

A personalized learning system-supported professional training model for teachers' TPACK development

Pawat Chaipidech, Niwat Srisawasdi, Tanachai Kajornmanee (2022)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

In contrast to traditional teacher professional development (TPD), the importance of individualized professional learning and expert content delivery is increasingly focused on as a challenge to transform the TPD. This study investigated the effects of an andragogical design of TPD with an embedded personalized learning system on technological pedagogical and content knowledge (TPACK) of in-service teachers. One hundred sixty-one in-service science teachers from 92 secondary schools located Northeastern region of Thailand voluntarily participated in the proposed TPD program. Results indicated that the in-service teachers significantly improved their TPACK. These findings add to the limited...