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Metodología: estudio empírico

Temas: inteligencia artificial

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Online learning and teaching increased in 2020, driven by the COVID-19 pandemic. As many researchers attempted to understand the impact stress had on the emotional behaviours and academic performance of students, most studies explored these pre- and during-COVID behaviours in the context of brick and mortar institutions transitioning to online delivery. There is an opportunity to compare the experiences of students in the MOOC environment in this period, particularly in terms of the difference of engagement, semantics and sentiment/stress behaviours in 2019 and 2020. In this study, we use a dataset from AdelaideX between this time period to identify the most significant features...

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Temas: inteligencia artificial

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In the realm of education, crafting appropriate questions for examinations is a meticulous and time-consuming task that is crucial for assessing students' understanding of the subject matter. This paper explores the potential of leveraging large language models (LLMs) to automate question generation in the educational domain. Specifically, we focus on generating educational questions from contexts extracted from school-level textbooks. Our study aims to prompt LLMs such as GPT-4 Turbo, GPT-3.5 Turbo, Llama-2-70B, Llama-3.1-405B, and Gemini Pro to generate a complete set of questions for each context, potentially streamlining the question generation process for educators. We performed a...

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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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Metodología: estudio empírico

Temas: inteligencia artificial

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Artificial Intelligence (AI) has significantly impacted second language education, including English as a foreign language (EFL) teaching and learning. Although various studies have been conducted to examine the opportunities and challenges of AI in EFL teaching and learning, comparable work on the opportunities and challenges of AI in EFL teacher education is limited. This study aimed to explore the “what” and “how” of opportunities and challenges of AI in EFL teacher education. To that end, we used descriptive narrative design in which we collected autobiographical narratives and conducted semi-structured interviews with 35 EFL teachers, four EFL teacher educators, and four computer...

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Nowadays, students are encouraged to learn via online learning systems to promote students' autonomy. Scholars have found that students' self-regulated actions impact their academic success in an online learning environment. However, because traditional online learning systems cannot personalize feedback to the student's personality, most students have less chance to obtain helpful suggestions for enhancing their knowledge linked to their learning problems. This paper incorporated self-regulated online learning in the Physics classroom and used a personalized learning approach to help students receive proper learning paths and material corresponding to their learning preferences. This study...

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Metodología: estudio empírico

Temas: inteligencia artificial

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Higher education is crucial for producing ethical citizens and professionals globally. The introduction of generative AI (GenAI), such as ChatGPT, has posed opportunities and challenges to the traditional model of education. However, the current conversations primarily focus on policy development and assessment, with limited research on the future of higher education. GenAI's impact on learning outcomes, pedagogy, and assessment is crucial for reforming and advancing the workforce. This qualitative study aims to investigate student perspectives on GenAI's impact on higher education. The study uses an initial conceptual framework driven by a systematic literature review to investigate the...

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Metodología: estudio empírico

Temas: inteligencia artificial

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Multimodal video analysis is a complex and time-consuming process for a researcher; it entails capturing, watching, and re-watching video data to identify which segments best inform or address the questions that drive the research. Modern AI applications can alleviate the challenges that arise during the fine-grained analysis of learners' multimodal interactions captured through video. In this study, we present a supervised approach to training a deep neural network to analyze children's computational thinking (CT) captured through multimodal video data. The approach first uses a set of images extracted from video data to train the AI to map them to labels generated using a priori theory....

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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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Metodología: estudio empírico

Temas: inteligencia artificial

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Since their release in late 2022, generative AI (genAI) tools have led to widespread use, including among teachers. The aim of our study is to examine several factors that may be implicated in teachers' motivation and engagement to harness genAI in teaching and learning. We examined contextual (i.e., autonomy-supportive leadership, autonomy-thwarting leadership), occupational experience (i.e., professional growth striving, change-related stress), and background factors (i.e., gender, age, teaching experience, contract length, class size, school level) as predictors of motivation (i.e., genAI valuing) and, in turn, engagement (i.e., integration in teaching-related work and student learning...

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Metodología: estudio empírico

Temas: inteligencia artificial

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Undergraduate thesis completion in STEM education is often constrained by limited timeframes, insufficient training, and the difficulty of navigating unstructured scientific literature. This study describes the design and evaluation of an AI-powered information extraction system that converts research publications into structured, traceable, and comparable datasets to support literature-driven comparison. The system is positioned as an epistemic scaffold that enables the inspection of evidence claim relationships through source traceability and structured comparisons while reducing low-level data-handling demands. A mixed-methods pilot study was conducted with 20 undergraduates from four...

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