Computers & Education: Artificial Intelligence

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial alfabetización en IA diseño curricular

Resumen:

Artificial Intelligence (AI) is a ubiquitous concept and tool already found across society and an integral part of everyday life. As such, basic understanding and knowledge of AI should be a critical component of student education to foster successful global citizens. This position paper describes one possible path to address potential gaps in AI education and integrate AI across the curriculum at a traditional research university. The University of Florida (UF) is infusing AI across the curriculum and developing opportunities for student engagement within identified areas of AI literacy regardless of student discipline. The AI Across the Curriculum initiative being developed at UF...

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 tecnología educativa enseñanza en línea e híbrida

Resumen:

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...

The effect of generative artificial intelligence (AI)-based tool use on students' computational thinking skills, programming self-efficacy and motivation

Ramazan Yilmaz, Fatma Gizem Karaoglan Yilmaz (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial pensamiento computacional ChatGPT

Resumen:

ChatGPT (generative pre-trained transformer) is one of the artificial intelligence (AI) technologies that have started to be used in programming education. However, the effect of using ChatGPT in programming education on learning processes and outcomes is not yet known. This study investigated the effect of programming education using the ChatGPT on students' computational thinking skills, programming self-efficacy, and motivation toward the lesson. The research was conducted on 45 undergraduate students who took a university-level programming course. The research was carried out according to the experimental design with the pretest-posttest control group. Students were randomly...

Conversation-based assessment: A novel approach to boosting test-taking effort in digital formative assessment

Seyma N. Yildirim-Erbasli, Okan Bulut (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial chatbots evaluación

Resumen:

Conversational agents such as chatbots have recently gained a lot of traction in various industries, including education, marketing, and healthcare. In K–12 and higher education, conversational agents have been used to boost student learning and motivation. Recently, new applications of conversational agents, such as conversation-based assessments, have emerged in the context of educational assessments. Such applications aim to enhance students' assessment experiences through the use of conversational agents in administering items (or tasks) and providing feedback to students. To discuss the utility of conversational agents in assessments, this paper puts a special emphasis on test-...

Effects of integrating an open learner model with AI-enabled visualization on students' self-regulation strategies usage and behavioral patterns in an online research ethics course

Jerry Chih-Yuan Sun, Hsueh-Er Tsai, Wai Ki Rebecca Cheng (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial tecnología educativa enseñanza en línea e híbrida

Resumen:

This study seeks to understand the effects of a personalized learning platform, which applied an open learner model with self-regulation and AI-enabled data visualization features, on students' self-regulated learning strategies used and behavioral patterns during their self-directed online learning process. Results were based on a self-regulated learning scale and a prior knowledge test from 182 university students and supplemented with students' system logs to understand their behavioral patterns while interacting with the personalized learning platform. It showed that the combined self-regulation and data visualization features (dual features) improve student performance via self...

Can large language models write reflectively

Yuheng Li, Lele Sha, Lixiang Yan (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial grandes modelos de lenguaje expresión escrita

Resumen:

Generative Large Language Models (LLMs) demonstrate impressive results in different writing tasks and have already attracted much attention from researchers and practitioners. However, there is limited research to investigate the capability of generative LLMs for reflective writing. To this end, in the present study, we have extensively reviewed the existing literature and selected 9 representative prompting strategies for ChatGPT – the chatbot based on state-of-art generative LLMs to generate a diverse set of reflective responses, which are combined with student-written reflections. Next, those responses were evaluated by experienced teaching staff following a theory-aligned...

Does intrinsic motivation mediate perceived artificial intelligence (AI) learning and computational thinking of students during the COVID-19 pandemic?

José Luis Martín-Núñez, Anil Yasin Ar, Rodrigo Pérez Fernández (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial pensamiento computacional motivación

Resumen:

The concept of Artificial Intelligence (AI), born as the possibility of simulating the human brain's learning capabilities, quickly evolves into one of the educational technology concepts that provide tools for students to better themselves in a plethora of areas. Unlike the previous educational technology iterations, which are limited to instrumental use for providing platforms to build learning applications, AI has proposed a unique education laboratory by enabling students to explore an instrument that functions as a dynamic system of computational concepts. However, the extent of the implications of AI adaptation in modern education is yet to be explored. Motivated to fill the...

Digital interaction literacy model – Conceptualizing competencies for literate interactions with voice-based AI systems

Astrid Carolus, Yannik Augustin, André Markus (2023)

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial alfabetización en IA competencia digital

Resumen:

AI-based systems, and especially voice-based AI systems, are gaining popularity and set novel requirements for end users. Research has provided first approaches postulating and conceptualizing AI-related user competencies. However, voice-based technology utilizing spoken language for operation has been neglected so far. This study presents qualitative interviews of 12 experts in research, development, or design of voice-based AI and explores the skills and competencies which are needed to interact with VBAI in a self-determined and mindful manner. Analyses highlight that, contrary to existing assumptions and providers’ advertising promises, not only language skills but a wider...

Research trends in multimodal learning analytics: A systematic mapping study

Hamza Ouhaichi, Daniel Spikol, Bahtijar Vogel (2023)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial analítica del aprendizaje tecnología educativa

Resumen:

Understanding and improving education are critical goals of learning analytics. However, learning is not always mediated or aided by a digital system that can capture digital traces. Learning in such environments can be studied by recording, processing, and analyzing different signals, including video and audio, so that traces of actors’ actions and interactions are captured. Multimodal Learning Analytics refers to analyzing these signals through the use and integration of these multiple modes. However, a need exists to evaluate how research is conducted in the emerging field of multimodal learning analytics to aid and evaluate how these systems work. With the growth of multimodal...

Artificial Intelligence (AI) Literacy in Early Childhood Education: The Challenges and Opportunities

Jiahong Su, Davy Tsz Kit Ng, Samuel Kai Wah Chu (2023)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial alfabetización en IA educación infantil

Resumen:

Nowadays, Artificial Intelligence (AI) literacy has become an emerging topic in digital literacy education research. However, it is still under-explored in early childhood education (ECE) since the AI curriculum for young children has just been designed in recent years. A scoping review was conducted to examine the thematic and content analysis of 16 empirical papers from 2016 to 2022. This scoping reviews evaluate, synthesize, and display 16 studies on AI literacy in early childhood education, including curriculum design, AI tools, pedagogical approaches, research designs, assessment methods, and findings. The discussion of the AI literacy implementation in ECE contributes to...