Impact of artificial intelligence (AI) in enhancing productivity and reducing stress among students

The rapid growth of chatbots and artificial Artificial intelligence (AI) has brought about a new time of learning and exploration. This research article investigates the profound implications of AI in education, focusing specifically on its impact on student productivity and stress reduction. Through a systematic literature review, 15 articles were analyzed, covering the period from 2017 to 2023. The findings highlight the potential of AI-powered educational tools to revolutionize traditional education paradigms by personalizing the learning experience, automating administrative tasks, and providing intelligent support. AI enables effective addressing of the challenges faced by students in today\u27s educational environment, including mounting workloads and pressures. Students are empowered with effective learning strategies by optimizing time utilization through intelligent scheduling, task management, and performance analysis. Furthermore, AI-powered chatbots and virtual mentors are crucial in offering emotional support, effectively reducing students\u27 anxiety levels. Ethical considerations such as data privacy, algorithmic bias, and equitable access to AI tools are addressed. Collaboration among educational institutions, policymakers, and researchers is emphasized as vital to harnessing AI\u27s power for a positive and inclusive learning environment. This research article contributes to the growing body of knowledge on AI\u27s impact on education, providing valuable insights for further exploring and implementing AI-driven solutions in educational settings

The Potential of Artificial Intelligence in Higher Education

Artificial Intelligence (AI) is seeping into many aspects of our everyday lives, with common internet applications, smartphones and even household appliances. Within education, AI is a rapidly emerging field and there is a strong potential for AI to greatly extend and enhance teaching and learning in higher education (Crompton et al., 2020). AI is defined as “computing systems that are able to engage in human-like processes such as learning, adapting, synthesizing, self-correction and use of data for complex processing tasks” (Popenici & Kerr, 2017). In the Horizon Report 2020 report (Brown et al., 2020), AI is listed as one of six technologies with the potential for high impact in higher education. The Horizon Report (2020), is an annual publication that examines the major trends in educational technology that are shaping global higher education. This paper will highlight some of the ways AI is supporting both students and faculty members including bespoke learning, intelligent tutoring systems, facilitating collaboration, and automated grading. This is followed by a section on ethical implications

A Rapid Scoping Review on Academic Integrity and Algorithmic Writing Technologies

This presentation provides insight into the development and findings of a rapid scoping review centred on the intersections of academic integrity and artificial intelligence, with particular attention to algorithmic writing technologies (e.g., ChatGPT) involving faculty, students, teaching assistants, academic student support staff, and educational developers in higher education contexts. This rapid scoping review was developed by a transdisciplinary team including Communication studies, Education, Engineering, and English, and followed Joanna Brigg Institute’s (JBI) updated manual for scoping reviews and the Preferred Reporting Items for Systematic reviews Meta-Analysis (PRISMA) reporting standards. JBI provides a high-quality, trusted framework for conducting these kinds of studies. This inquiry’s study design includes qualitative, quantitative, mixed methods, theoretical and opinion studies; additionally, this inquiry did not restrict studies by geographic location and focused on sources written in English. This review’s studies involved faculty, students, teaching assistants, academic support staff, and educational developers in higher education. It also included studies about artificial intelligence in the context of academic integrity, focusing on artificial intelligence tools that assist text generation and writing developed in Tertiary type A and B postsecondary education. Studies excluded from this review were related to primary and secondary education contexts, did not address the ethical implications of artificial intelligence, and focused on text plagiarism software. The protocol of this rapid review was published in the Canadian Perspectives on Academic Integrity Journal. Its implementation helped this team identify various ethical implications signalled by scholars between 2007 and 2022. Considering the expansive emergence of these technologies and the multiple positionings derived from these new and unprecedented encounters with such technology, we believe that the implications identified in this rapid scoping review are particularly relevant to inform academic staff, administration, students, and academic integrity researchers’ ethical decision-making and practices when teaching, learning, designing, and implementing assessments, and doing research. The findings of this rapid scoping review encompass nuanced perspectives concerning the ethical and unethical uses of these emerging technologies and insights into equity, diversity, and inclusion issues

Application of Artificial intelligence to high education: empowerment of flipped classroom with just-in-time teaching

[EN] In the so-called society 4.0, Artificial Intelligence (AI) is being widely used in many areas of life. Machine learning uses mathematical algorithms based on "training data", which are able to make predictions or take decisions with the ability to change their behavior through a self-training approach. Furthermore, thanks to AI, a large volume of data can be now processed with the overall goal to extract patterns and transform the information into a comprehensible structure for further utilization, which manually done by humans would easily take several years. In this framework, this article explores the potential of AI and machine learning to empower flipped classroom with just-in-time teaching (JiTT). JiTT is a pedagogical method that can be easily combined with the reverse teaching. It allows professors to receive feedback from students before class, so they may be able to adapt the lesson flow, as well as preparing strategies and activities focused on the student deficiencies. This research explores the application of AI in high education as a tool to analyze the key variables involved in the learning process of students and to integrate JiTT within the flipped classroom. Finally, a case of application of this methodology is presented, applied to the course of Energy Markets taught at the Polytechnic University of Valencia.This work was supported in part by the regional public administration of Valencia under the grant ACIF/2018/106.Montuori, L.; Alcázar Ortega, M.; Bastida Molina, P.; Vargas Salgado, CA. (2021). Application of Artificial intelligence to high education: empowerment of flipped classroom with just-in-time teaching. En Proceedings INNODOCT/20. International Conference on Innovation, Documentation and Education. Editorial Universitat Politècnica de València. 223-231. https://doi.org/10.4995/INN2020.2020.11896OCS22323

Conceptual Analysis on Higher Education Strategies for various Tech-Generations

Higher education is finding importance throughout the globe due to two reasons that include challenges to increase Gross Enrolment Ratio (GER) towards 100% and the possibility of further HE system innovations due to drastic changes in technology and the creativity of new Tech-generations. In this paper, we made a detailed analysis of the effect of technology on industry and the creation of new tech generations in society. The predictive analysis methodology is used for discussing the effect of technologies on industries and its effects on the creation of new tech generations. Finally, the possible higher education strategies to fullfill the anticipated desires of the tech-generations in society are analysed. Based on the analysis a set of postulates are suggested to integrate technology with the higher education system to develop industry acceptable qualified professionals to serve satisfactorily in so-called Tech-society

THE INFLUENCE OF MEDIA LEARNING SIGUM IN THE PANDEMIC TIME COVID-19

Covid-19 has been declared a pandemic since the beginning of 2020 causing the learning process to be carried out from home with an online system at all levels of education. This study aims to determine how much influence the GIS Learning Media will have during the Pandemic. This type of research is a qualitative research based on literature study. This research was conducted at SMK Negeri 2 Binjai. The results showed that: (1) Students already have basic facilities that are used to carry out online learning with GIS learning media; (2) online learning with SIGUM learning media is very flexible in its implementation and is able to encourage independent learning and motivation to be more active in participating in learning; and (3) Learning using SIGUM learning media is included in innovative learning, which of course has weaknesses and strengths. In essence, innovative learning requires teacher creativity in designing, arranging and conditioning students so that they are enthusiastic in learning, have the ability to think, solve problems faced correctly, especially problems related to everyday life and the world of work later.Keywords: Learning Media, SIGUM, Pandemic Covid-1

ADVENT OF ARTIFICIAL INTELLIGENCE: PROSPECTS AND CHALLENGES IN NIGERIA EDUCATION SYSTEM

The growing speed of Information and Communication Technology has paved way to more technological advancement which has opened up a novel subject matter named Artificial Intelligence (AI) in education. This paper focuses on advent of artificial intelligence: prospects and challenges in Nigeria education system. It is envisaged that Artificial Intelligence systems are becoming adopted and its application is racing fast in teaching and learning, hence, the need to look at highlights on achievements of Artificial Intelligence, benefits of Artificial Intelligence, challenges of Artificial Intelligence and the way-forward. In addition, suggestions made include that government should make deliberate and conscious effort to fund the project, involvement of teachers and students, training and retraining of teachers. These suggestions made if put into consideration will compliment and support teachers to combine human capabilities with artificial intelligence to bring about quality delivery in lifelong education

ANALISIS AKTIVITAS BELAJAR SISWA DENGAN PENERAPAN MODEL PEMBELAJARAN KOOPERATIF TIPE BERPASANGAN DENGAN LKPD BERBASIS KASUS

Science learning can foster students' understanding of ideas in science. Based on this, students are expected to be actively involved during learning to solve problems. This study aims to determine the implementation of learning using the cooperative type pair model with case-based worksheets. The type of research used is observational research with 24 participants from class VIII-A students in a junior high school in Surabaya. Data collection techniques using observation with learning implementation sheets. The data that has been collected is then analyzed using Cohen’s Kappa Coefficient to see the level of agreement of the two observers. The implementation of learning at the first to third meetings has been carried out very well and got agreement with the criteria perfect agreement. Observed student activities indicate active learning, such as doing case-based worksheets, looking for pairs of cards, and discussing. Activities when working on case-based worksheets can spark enthusiasm and motivate students to find solutions to problems on worksheets. Through the cooperative model of the make a match type with case-based worksheets students are actively involved in the process of obtaining information and expanding knowledge through social interaction with peers. This learning model can also be used as a solution in choosing a model when learning in the classroom