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Spending time reflecting and thinking has helped me balance priorities, solve problems, and generate new ideas.
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Recently, EdSurge spoke with ESA representatives to learn more about the importance of collaboration for making data interoperability a reality across education agencies and edtech providers. Without interoperability, data silos emerge, making it difficult for stakeholders to access and use the full range of capabilities offered by different edtech products. Adopting a data standard, such as the Ed-Fi Data Standard, enables education agencies to integrate multiple systems and tools, share data securely and leverage technology effectively to improve teaching, learning and administrative processes. Via Edumorfosis
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Learning design in UK higher education has been on an interesting journey in recent years. It’s grown in popularity as a term, an activity, and as a moniker for roles that support learning & teaching activity. Via Edumorfosis
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The adoption of generative Artificial Intelligence (GenAI) has shuffled the list of top skills businesses want from professionals in 2024, according to a new job site study and education industry data. Far from replacing workers, GenAI appears poised to transform the way technologists and others work, allowing them to focus more on creative tasks such as product development, and less on mundane tasks that can be automated. Via Edumorfosis, Yashy Tohsaku, John Evans
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“ Wonder is the thread that stops is from giving up or surrendering to cynicism. Wonder is the thread that allows us to make and remake education landscapes free from orthodoxy and certainty. Wonder is an ache and belief that provokes us towards imagined worlds in which we make education good and ri Via Vladimir Kukharenko
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Tomado de Universo Abierto. « Aprovechar las oportunidades de sistemas seguros, protegidos y fiables de inteligencia artificial para el des... Via LGA, juandoming
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Por Vanessa Carreño André Via Juan Carlos Valda
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Practical strategies for leveraging AI’s strengths & avoiding its weaknesses Via Vladimir Kukharenko
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While not a panacea, hybrid education can be a middle option that addresses the complaints of both in-person-only and online-only education. Via Vladimir Kukharenko
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While the discussion on Generative AI, such as ChatGPT, is making waves in academia and the popular press, there is a need for more insight into the use of ChatGPT among students and the potential harmful or beneficial consequences associated with its usage. Using samples from two studies, the current research examined the causes and consequences of ChatGPT usage among university students.
Study 1 developed and validated an eight-item scale to measure ChatGPT usage by conducting a survey among university students (N = 165). Study 1 provided evidence for the validity and reliability of the ChatGPT usage scale.
Study 2 used a three-wave time-lagged design to collect data from university students (N = 494) to further validate the scale and test the study’s hypotheses. Study 2 also examined the effects of academic workload, academic time pressure, sensitivity to rewards, and sensitivity to quality on ChatGPT usage. Study 2 further examined the effects of ChatGPT usage on students’ levels of procrastination, memory loss, and academic performance. Furthermore, study 2 revealed that when students faced higher academic workload and time pressure, they were more likely to use ChatGPT.
In contrast, students who were sensitive to rewards were less likely to use ChatGPT. Not surprisingly, use of ChatGPT was likely to develop tendencies for procrastination and memory loss and dampen the students’ academic performance. Finally, academic workload, time pressure, and sensitivity to rewards had indirect effects on students’ outcomes through ChatGPT usage. Via Edumorfosis
Edumorfosis's curator insight,
March 26, 5:21 PM
Justo cuando lanzamos la la guiía digital "Cinco consideraciones de la IA Educativa" se difunde en las redes esta investigación. La misma establece que los estudiantes que usan ChatGPT en exceso podrían reducir sus esfuerzos cognitivos para completar sus tareas académicas, lo que resulta en una mala memoria. Con el tiempo, la dependencia excesiva de las herramientas de IA Generativa para realizar las tareas académicas, en lugar del pensamiento crítico y el esfuerzo mental, pudieran afectarla retención de la memoria, el funcionamiento cognitivo y las capacidades de pensamiento crítico.
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Por José María Garrido Via Juan Carlos Valda
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From
smalltalk2
SmallTalk2Me helps non-native English speakers make their spoken English fluent and enables businesses assess their employees' English proficiency. Via Nik Peachey
Nik Peachey's curator insight,
March 25, 12:05 PM
Here's another AI speaking tutor app https://smalltalk2.me/ - There's also a level test option https://smalltalk2.me/leveltest I'm not sure how much they are planning to charge
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HONGZHONG DENG, JI LI, HONGQIAN WU, and BINGFENG GE Advances in Complex SystemsVol. 26, No. 07n08, 2350011 System structure can affect or decide the system function. Many pioneers have analyzed the impact of system’s macro-statistical characteristics, such as degree distribution and giant component, on system performance. But only few research works were conducted on the relation of mesoscopic structure and agent property with system task performance. In this paper, we designed a scenario that, in a multiagent system, agents will try their best to form a qualified team to fulfill more system tasks under the requirements from agent property, structure and task. The theoretical and simulation results show that the agent link network, agent properties and task requirement will co-affect the dynamic team formation and at last have serious effects on a system’s task completion ratio and performance. Some factors such as network density and task introduction period have positive influence. Task execution time and team size have negative influence. Some factors show a counter-intuitive influence. The clustering coefficient has not much influence as people expected and the task publicity time isn’t bigger the better. Notably, system performance is affected by the coupling effect, instead of the independent effects of all factors. The effect of system structure on system function conditionally relies on the support from agent ability and task requirement. Read the full article at: www.worldscientific.com Via Complexity Digest, june holley
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From
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Xiao Yang, Réka Albert, Lauren Molloy Elreda, & Nilam Ram Social influence processes can induce desired or undesired behavior change in individual members of a group. Empirical modeling of group processes and the design of network-based interventions meant to promote desired behavior change is somewhat limited be-cause the models often assume that the social influence is assimilative only and that the networks are not fully connected. We introduce a Boolean network method that addresses these two limitations. In line with dynamical systems principles, temporal changes in group members’ behavior are modeled as a Boolean network that also allows for application of control theory design of group management strategies that might direct the groups to-wards desired behavior. To illustrate the utility of the method for psychology, we apply the Boolean network method to empirical data of individuals’ self-disclosure behavior in multi-week therapy groups (N = 135, 18 groups, T = 10 ∼ 16 weeks). Empirical results provide descrip-tion of each group member’s pattern of self-disclosure and social influence and identification of group-specific network control strategies that would elicit self-disclosure from the majori-ty of the group. Of the 18 group models, 16 included both assimilative and repulsive social in-fluence. Useful control strategies were not needed for 10 already well-functioning groups, were identified for 6 groups, and were not available for 2 groups. The findings illustrate the utility of the Boolean network method for modeling the simultaneous existence of assimila-tive and repulsive social influence processes in small groups, and developing strategies that may direct groups toward desired states without manipulating social ties. Read the full article at: advances.in Via Complexity Digest, june holley |
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The education landscape is transforming rapidly, driven by technological advancements, shifting societal norms, and evolving student needs. As we look toward the future, it’s essential to understand the trends shaping the world of academia and the implications for students, educators, and institutions alike. In this guide, we’ll take a deep dive into seven key trends shaping the future of education and their impact on the higher education landscape. Via Edumorfosis
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I hope you are encouraged to experiment and (re)imagine with generative AI and see how fun it is to use a futuristic, transformative lens as an educator while we share these unique opportunities with learners. Via Vladimir Kukharenko
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From
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Hazel Weakly discusses platforms and platform engineering, and what it means to learn, and how collective thought scales across a team, an organization and an industry. Via Vladimir Kukharenko
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La Educación Disruptiva en la universidad implica la reevaluación y transformación de los modelos tradicionales de enseñanza y aprendizaje. Inspirada en las teorías Juan Domingo Farnós , esta aproximación busca romper con las estructuras Via juandoming
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From
techcrunch
"Spotify has carved out a business for itself in music streaming, podcast entertainment and audiobooks. Now, in its ongoing efforts to get its 600 million+ ..." Via Leona Ungerer
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Utiliser l’IA générative pour accompagner les apprenants n’est pas l’usage auquel les enseignants, les formateurs et les OF pensent en premier. Pour autant, les LLM peuvent se révéler une aide précieuse, en particulier pour ceux qui ont plus de mal à désinvestir la transmission pour mieux investir le soutien à l’apprentissage.
Via Cap Métiers Nouvelle-Aquitaine , Elena Pérez, michel verstrepen, juandoming
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This study explores the transformative potential of Generative AI (GenAI) and ChatBots in educational interaction, communication, and the broader implications of human-GenAI collaboration. By examining the related literature through data mining and Via Vladimir Kukharenko, juandoming
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The International Center for Academic Integrity (ICAI) cultivates. integrity in academic communities throughout the world to promote ethical institutions and societies. ICAI offers assessment services, resources, and consultations to its member institutions, and facilitates critical conversations about integrity. Via Vladimir Kukharenko
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Con mucho entusiasmo, lanzamos la guía digital titulada "Cinco consideraciones de la IA Educativa". La misma fue elaborada por el Dr. Jose Ferrer y el Prof. Antonio Delgado. Esta guía promueve una reflexión profunda y provee algunas recomendaciones para la integración educativa de las herramientas de Inteligencia Artificial Generativa desde una perspectiva humana. Invitamos a la comunidad educativa internacional a compartir este documento que redactamos con mucha dedicación y esmero. Este proyecto colaborativo se realizó en modalidad remota con tecnologías digitales y herramientas de IA Generativa (GPT, Canva, Ideogram (V2), Leonardo AI y Adobe Firefly). El Dr Ferrer y este servidor esperamos que este documento digital les sirva de mucha utilidad en su desarrollo profesional... Via Edumorfosis
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Tutors International today issued a comment that highlights the transformative impact of personalised learning, emphasising its role in empowering students to go beyond traditional styles of classroom learning to push educational boundaries and become confident, lifelong learners. Via Canadian Vocational Association / Association canadienne de la formation professionnelle, juandoming
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Juan Domingo Farnos Miro Dentro del trabajo de la diversidad dentro de los grupos colaborativos necesitamos tener una transparencia básica entre todos los sujetos y los objetos de aprendizaje, nadie puede esconder nada a sus compañeros (P2P) de los contrario el proceso no se podrá llevar a buen puerto. Ello nos conducirá a la confiabilidad… Via juandoming
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Michele Avalle, Niccolò Di Marco, Gabriele Etta, Emanuele Sangiorgio, Shayan Alipour, Anita Bonetti, Lorenzo Alvisi, Antonio Scala, Andrea Baronchelli, Matteo Cinelli & Walter Quattrociocchi Growing concern surrounds the impact of social media platforms on public discourse1,2,3,4 and their influence on social dynamics5,6,7,8,9, especially in the context of toxicity10,11,12. Here, to better understand these phenomena, we use a comparative approach to isolate human behavioural patterns across multiple social media platforms. In particular, we analyse conversations in different online communities, focusing on identifying consistent patterns of toxic content. Drawing from an extensive dataset that spans eight platforms over 34 years—from Usenet to contemporary social media—our findings show consistent conversation patterns and user behaviour, irrespective of the platform, topic or time. Notably, although long conversations consistently exhibit higher toxicity, toxic language does not invariably discourage people from participating in a conversation, and toxicity does not necessarily escalate as discussions evolve. Our analysis suggests that debates and contrasting sentiments among users significantly contribute to more intense and hostile discussions. Moreover, the persistence of these patterns across three decades, despite changes in platforms and societal norms, underscores the pivotal role of human behaviour in shaping online discourse. Read the full article at: www.nature.com Via Complexity Digest, june holley |