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Favour Mosunmola Sobowale; Ibrahim Abba Mohammed; Fati Ali; Berechiah Manji Samson; Abdulazeez Sadiku – Discover Education, 2024
Lack of proper laboratories and inadequate facilities have become some of the factors affecting chemistry practical in Nigeria which therefore affects students' performance. While there were many studies conducted on the effectiveness of mobile learning, literature remains very scarce in the Nigerian context. In order to tackle this problem, using…
Descriptors: Preservice Teacher Education, Teacher Education Programs, Chemistry, Science Instruction
Min Zou; Liang Huang – Education and Information Technologies, 2024
Despite the growing popularity of ChatGPT and chatbot-assisted writing, research on the use of ChatGPT in second language (L2) writing classrooms remains insufficient. Using reflection papers and focus group interviews, the qualitative study examined doctoral students' views on the impact of using ChatGPT on L2 writing and their expected…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Second Language Instruction
Pinky Kusuma Ningtyas; Hayuni Retno Widarti; Parlan Parlan – Journal of Science Learning, 2024
Social media is one of the platforms that is popular and familiar to various circles. This technology has penetrated multiple fields, especially education. Many studies have shown the use of social media in the learning process. This study aims to explore the use of social media in science learning environments and their impacts. The method used…
Descriptors: Social Media, Science Education, Learning Processes, Research Reports
Md Manjurul Islam – Journal of Practical Studies in Education, 2024
This study seeks to detect the problems and solutions of using technology at Kurigram Government College at the undergraduate level, located in the northern border area of Bangladesh. The study presents the existing scenario of using technology in Kurigram Government College at the undergraduate level since the practice of technology in the class…
Descriptors: Public Colleges, Undergraduate Students, Geographic Regions, Teacher Attitudes
Sharmin Söderström – International Journal of Mathematical Education in Science and Technology, 2024
This study focuses on computer-based formative assessment for supporting problem solving and reasoning in mathematics. To be able to assist students who find themselves in difficulties, the software suggested descriptions - diagnoses - of the encountered difficulty the students could choose from. Thereafter, the software provided metacognitive and…
Descriptors: Computer Assisted Testing, Formative Evaluation, Mathematics Instruction, Problem Solving
Gautham Arun; Vivek Perumal; Francis Paul John Bato Urias; Yan En Ler; Bryan Wen Tao Tan; Ranganath Vallabhajosyula; Emmanuel Tan; Olivia Ng; Kian Bee Ng; Sreenivasulu Reddy Mogali – Anatomical Sciences Education, 2024
Large Language Models (LLMs) have the potential to improve education by personalizing learning. However, ChatGPT-generated content has been criticized for sometimes producing false, biased, and/or hallucinatory information. To evaluate AI's ability to return clear and accurate anatomy information, this study generated a custom interactive and…
Descriptors: Artificial Intelligence, Teaching Methods, Computational Linguistics, Anatomy
Marcelo Bairral; Gilles Aldon – REDIMAT - Journal of Research in Mathematics Education, 2024
Eye-tracking (ET) method provides a promising channel for educational researchers to connect learning outcomes to cognitive processes. The main principle of ET is that our gaze and our focus of attention are connected. Due to the advent of digital technologies, eye tracking studies are increasingly growing in different fields and in mathematics…
Descriptors: Geometry, Mathematics Instruction, Validity, Mathematical Logic
Fadip Audu Nannim; Nnenna Ekpereka Ibezim; Basil C. E. Oguguo; Emmanuel Chinweike Nwangwu – Education and Information Technologies, 2024
This study investigated the effect of project-based Arduino robot application on students' computational thinking skills development in robotics programming course using the quasi-experimental research design. The participants consist of 73 students in tertiary institutions in South-East Nigeria that offer Computer and Robotics Education…
Descriptors: Robotics, Computation, Thinking Skills, Skill Development

Arun-Balajiee Lekshmi-Narayanan; Priti Oli; Jeevan Chapagain; Mohammad Hassany; Rabin Banjade; Vasile Rus – Grantee Submission, 2024
Worked examples, which present an explained code for solving typical programming problems are among the most popular types of learning content in programming classes. Most approaches and tools for presenting these examples to students are based on line-by-line explanations of the example code. However, instructors rarely have time to provide…
Descriptors: Coding, Computer Science Education, Computational Linguistics, Artificial Intelligence
Sunil Hazari – Journal of Educational Research and Practice, 2024
In this article, I present a justification for implementing AI literacy courses in higher education. I explore the ethical concerns and biases surrounding AI technologies, highlighting the importance of critical analysis and responsible use of AI. I then propose a conceptual framework, focusing on awareness, skill development, and the practical…
Descriptors: Artificial Intelligence, Higher Education, Critical Thinking, Innovation
Iouri Kotorov; Yuliya Krasylnykova; Mar Pérez-Sanagustín; Fernanda Mansilla; Julien Broisin – Journal of Learning Analytics, 2024
The quality of the data and the amount of correct information available is key to informed decision-making. Higher education institutions (HEIs) often employ various decision support systems (DSSs) to make better choices. However, there is a lack of systems to assist with decision-making to promote innovation in teaching and learning. In this…
Descriptors: Decision Making, Case Studies, Instructional Innovation, Teaching Methods
Irum Naz; Rodney Robertson – Electronic Journal of e-Learning, 2024
This study explores the feasibility of using AI technology, specifically ChatGPT-3, to provide reliable, meaningful, and personalized feedback. Specifically, the study explores the benefits and limitations of using AI-based feedback in language learning; the pedagogical frameworks that underpin the effective use of AI-based feedback; the…
Descriptors: Artificial Intelligence, Synchronous Communication, Computer Software, Feedback (Response)
Ozlem Uzumcu; Hasan Acilmis – Technology, Knowledge and Learning, 2024
The aim of this study is to examine the integration of AI-powered tools into the lessons in the context of the diffusion of innovation theory. One of the main features of AI-powered tools is that they provide personalized results or feedback. For this reason, it is important for students to experience these tools in person, that is, to interact…
Descriptors: Instructional Innovation, Artificial Intelligence, Teaching Methods, Computer Software
Seth M. Alexander; Kaylyn B. Pogson-Morowitz; Corey S. Johnson – Anatomical Sciences Education, 2024
Three-dimensional (3D) modeling is a recent, innovative approach to teaching anatomy. There is little literature, however, to suggest how 3D modeling is best used to teach students and whether or not students can gain the same level of understanding as they might use more traditional, hands-on, teaching methods. This study evaluated the use of a…
Descriptors: Models, Anatomy, Visual Aids, Teaching Methods
Cecilie Carlsen Bach; Uffe Thomas Jankvist – International Journal for Technology in Mathematics Education, 2024
When implementing digital technologies into mathematics teaching and learning situations, new representational and communication infrastructures arise that allow for new speech acts and actions. These new speech acts and actions are also referred to as 'representational expressivity'. Such expressivity arises in the intersection of…
Descriptors: Middle School Students, Grade 8, Middle School Mathematics, Mathematics Education