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Showing all 14 results Save | Export
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Babak Mahjour; Andrew McGrath; Andrew Outlaw; Ruheng Zhao; Charles Zhang; Tim Cernak – Journal of Chemical Education, 2023
Data science is becoming a mainstay in research. Despite this, very few STEM graduates matriculate with basic formal training in programming. The current lesson plan was developed to introduce undergraduates studying chemistry or biology to chemoinformatics and data science in medicinal chemistry. The objective of this lesson plan is to introduce…
Descriptors: Undergraduate Students, Chemistry, Biology, Information Science
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Kamali N. Sripathi; Rosa A. Moscarella; Matthew Steele; Rachel Yoho; Hyesun You; Luanna B. Prevost; Mark Urban-Lurain; John Merrill; Kevin C. Haudek – Journal of Mixed Methods Research, 2024
Assessing student knowledge based on their writing using traditional qualitative methods is time-consuming. To improve speed and consistency of text analysis, we present our mixed methods development of a machine learning predictive model to analyze student writing. Our approach involves two stages: first an exploratory sequential design, and…
Descriptors: Artificial Intelligence, Mixed Methods Research, Student Writing Models, Biology
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Pablo Antonio Archila; Brigithe Tatiana Ortiz; Anne-Marie Truscott de Mejía; Jorge Molina – Information and Learning Sciences, 2024
Purpose: In November 2022, the commercial company, OpenAI, launched ChatGPT. Since then, university students have rapidly become regular users of this artificial intelligence (AI) platform. One reason for this is the powerful capability of this generative AI tool to produce textual content, which in many cases, is almost indistinguishable from…
Descriptors: Foreign Countries, Bilingual Education, English, Spanish
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Jiaqi Yin; Tiong-Thye Goh; Yi Hu – International Journal of Educational Technology in Higher Education, 2024
Educational chatbots (EC) have shown their promise in providing instructional support. However, limited studies directly explored the impact of EC on learners' emotional responses. This study investigated the induced emotions from interacting with micro-learning EC and how they impact learning motivation. In this context, the EC interactions…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Psychological Patterns
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Bertolini, Roberto; Finch, Stephen J.; Nehm, Ross H. – Journal of Science Education and Technology, 2021
High levels of attrition characterize undergraduate science courses in the USA. Predictive analytics research seeks to build models that identify at-risk students and suggest interventions that enhance student success. This study examines whether incorporating a novel assessment type (concept inventories [CI]) and using machine learning (ML)…
Descriptors: Evaluation Methods, Scores, Artificial Intelligence, Grade Prediction
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Terence G. Favero – Advances in Physiology Education, 2024
The advent of artificial intelligence (AI)-powered language models presents new opportunities and challenges in education. By teaching students how to craft prompts that elicit insightful responses, faculty can scaffold activities where AI acts as a supplemental resource to amplify critical thinking and support student learning. Ongoing dialogue…
Descriptors: Artificial Intelligence, Teaching Methods, Physiology, Technology Uses in Education
Gregory J. Crowther; Usha Sankar; Leena S. Knight; Deborah L. Myers; Kevin T. Patton; Lekelia D. Jenkins; Thomas A. Knight – Journal of Microbiology & Biology Education, 2023
The biology education literature includes compelling assertions that unfamiliar problems are especially useful for revealing students' true understanding of biology. However, there is only limited evidence that such novel problems have different cognitive requirements than more familiar problems. Here, we sought additional evidence by using…
Descriptors: Science Instruction, Artificial Intelligence, Scoring, Molecular Structure
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Owolabi Paul Adelana; Musa Adekunle Ayanwale; Ismaila Temitayo Sanusi – Cogent Education, 2024
This study addresses the challenge of teaching genetics effectively to high school students, a topic known to be particularly challenging. Leveraging the growing importance of artificial intelligence (AI) in education, the research explores the perspectives, attitudes, and behavioral intentions of pre-service teachers regarding the integration of…
Descriptors: Preservice Teachers, Biology, Science Teachers, Intention
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Lindelani Mnguni; Prasart Nuangchalerm; R. Ahmad Zaky El Islami; Doras Sibanda; Moleboheng Ramulumo; Indah Juwita Sari – Asia-Pacific Science Education, 2024
The integration of Artificial Intelligence (AI) in biology education offers transformative potential, yet teacher preparedness for AI remains under-researched. This study explores the perceived benefits of AI integration and self-reported Technological Pedagogical Content Knowledge (TPACK) among pre-service biology teachers from a South African…
Descriptors: Artificial Intelligence, Technology Integration, Biology, Science Education
Tappert, Charles C.; Agerwala, Tilak – Association Supporting Computer Users in Education, 2019
This paper discusses our experiences teaching a doctoral-level course in emerging information technologies. The concept of emerging technologies is put into context by describing the technology life cycle. The emerging information technologies of current interest -- Artificial Intelligence and related areas, Collective Human-Computer Intelligence,…
Descriptors: Graduate Study, Information Technology, Artificial Intelligence, Quantum Mechanics
Zhang, Lishan; VanLehn, Kurt – Research and Practice in Technology Enhanced Learning, 2016
Science instructors need questions for use in exams, homework assignments, class discussions, reviews, and other instructional activities. Textbooks never have enough questions, so instructors must find them from other sources or generate their own questions. In order to supply biology instructors with questions for college students in…
Descriptors: Questioning Techniques, Biology, Introductory Courses, Artificial Intelligence
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Koc-Januchta, Marta M.; Schönborn, Konrad J.; Tibell, Lena A. E.; Chaudhri, Vinay K.; Heller, H. Craig – Journal of Educational Computing Research, 2020
Applying artificial intelligence (AI) to support science learning is a prominent aspect of the digital education revolution. This study investigates students' interaction and learning with an AI book, which enables the inputting of questions and receiving of suggested questions to understand biology, in comparison with a traditional E-book.…
Descriptors: Artificial Intelligence, Textbook Content, Science Materials, Biology
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Winchell, Adam; Mozer, Michael; Lan, Andrew; Grimaldi, Phillip; Pashler, Harold – International Educational Data Mining Society, 2018
When engaging with a textbook, students are inclined to highlight key content. Although students believe that highlighting and subsequent review of the highlights will further their educational goals, the psychological literature provides no evidence of benefits. Nonetheless, a student's choice of text for highlighting may serve as a window into…
Descriptors: Textbooks, Biology, Documentation, Science Instruction
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers