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David R. Squires – Journal of Educational Technology, 2023
Educational research has witnessed profound changes in recent decades as society becomes increasingly digital and interconnected. This paper delves into the intersections between AI, design-based research, and the learning sciences. As classrooms, whether physical or virtual, have evolved into hubs of diverse interactions, there is a pressing need…
Descriptors: Artificial Intelligence, Research Design, Technology Integration, Sciences
Lonneke Boels; Alex Lyford; Arthur Bakker; Paul Drijvers – Frontline Learning Research, 2023
Many students persistently misinterpret histograms. Literature suggests that having students solve dotplot items may prepare for interpreting histograms, as interpreting dotplots can help students realize that the statistical variable is presented on the horizontal axis. In this study, we explore a special case of this suggestion, namely, how…
Descriptors: Data Interpretation, Interpretive Skills, Statistical Distributions, Graphs
Sello Prince Sekwatlakwatla; Vusumuzi Malele – International Journal of Education and Development using Information and Communication Technology, 2023
The emerging generative artificial intelligence (AI) chatbots, such as Chat Generative Pre-Trained Transformer (ChatGPT), have recently taken different disciplines by surprise. Very few scholarly papers show the collaborative effort by researchers on the impact of generative AI in higher education (HE) and its implication on HE disciplines and…
Descriptors: Artificial Intelligence, Natural Language Processing, Higher Education, Technology Uses in Education
Tanner Phillips – ProQuest LLC, 2023
This study explored how artificial intelligence (AI) can support teachers in reflecting on and improving their course design. Interviews were conducted with two university instructors after they interacted with an AI-powered dashboard visualizing relationships between course content, assessments, and student work. Thematic analysis revealed three…
Descriptors: Artificial Intelligence, Reflection, Affordances, Instructional Design
Kuhaneswaran Banujan; Samantha Kumara; Senthan Prasanth; Nirubikaa Ravikumar – International Journal of Education and Development using Information and Communication Technology, 2023
Examinations are one way of evaluating students. To ensure the production of valid exams, frameworks such as Bloom's taxonomy are utilised when preparing questions. Bloom's taxonomy is a well-known framework that categorises educational objectives into six hierarchical levels of cognitive complexity. However, manually categorising exam questions…
Descriptors: Artificial Intelligence, Test Construction, Classification, Foreign Countries
Sang-Gu Kang – Journal of Pan-Pacific Association of Applied Linguistics, 2023
Generative AIs such as Google Bard are known to be equipped with techniques and grammatical principles of human language based on a large corpus of text and code that allow them to generate natural-sounding language, and also identify and correct grammatical errors in human-written texts. Still, they are not perfect language generators, and this…
Descriptors: Artificial Intelligence, Natural Language Processing, Error Correction, Writing (Composition)
Tuba Satir; Agah Tugrul Korucu – Shanlax International Journal of Education, 2023
The use of artificial intelligence in education is accepted as one of the important discussion topics of the recent period. Artificial intelligence, which can be used actively in all areas of social life, can also be actively used in education. At this point, the relationship between artificial intelligence and education should be evaluated in the…
Descriptors: Artificial Intelligence, Synchronous Communication, Technology Uses in Education, Evaluation
Barana, Alice; Marchisio, Marina; Roman, Fabio – International Association for Development of the Information Society, 2023
The spread of Artificial Intelligence (AI) has been recently generating worries among teachers and educators about the validity of assessment when students make use of AI tools to solve tasks. To tackle this issue, we propose mathematical problem solving activities to be carried out with the aid of ChatGPT, showing how problem solving and critical…
Descriptors: Artificial Intelligence, Mathematics Instruction, Problem Solving, Critical Thinking
Fu, Wei; Li, Wei; Chen, Boyu; Zhang, Junjie; Xie, Qiong; Zhou, Lu; Zhang, Xuemei – Biochemistry and Molecular Biology Education, 2023
With the emergence of innovative technologies, including combinatorial chemistry, high-throughput screening, computer-aided drug design (CADD), artificial intelligence (AI) and big data, the importance of drug design in the field of drug discovery and development is increasing. Additionally, education in drug design plays an important role in the…
Descriptors: Chemistry, Pharmaceutical Education, Computer Assisted Design, Artificial Intelligence
Jennifer Scoggin; K. Christopher Smith – Chemistry Education Research and Practice, 2023
In this study, we analyzed how general chemistry students generated experimental designs corresponding to general chemistry questions such as the ones typically found in general chemistry textbooks. We found that students were very successful in including experimental design aspects that were explicitly mentioned in the general chemistry…
Descriptors: Chemistry, Science Instruction, Artificial Intelligence, Computer Software
Cornelia Connolly; Orlaith Hernon; Peter Carr; Hemendra Worlikar; Ian McCabe; Jennifer Doran; Jane C. Walsh; Andrew J. Simpkin; Derek T. O'Keeffe – Computers in the Schools, 2023
Artificial intelligence (AI) technology in professional practice is regarded as the latest disruption to challenge ethical, societal, economic, and educational paradigms. It is becoming a contemporary narrative in our healthcare and educational discourse as it is thought to improve decision-making, education, patient care, and service delivery. If…
Descriptors: Artificial Intelligence, Health Services, Medical Education, Technology Integration
Gary J. Ockey; Evgeny Chukharev-Hudilainen; R. Roz Hirch – Language Assessment Quarterly, 2023
Most second language assessment researchers agree that interactional competence (IC) is an important part of the construct of oral communication. However, measurement of IC has proven challenging because at least one interlocutor is considered necessary to create an appropriate social context for test takers to demonstrate their IC. Including…
Descriptors: Speech Communication, Speech Tests, Communicative Competence (Languages), Second Languages
Alfredo J. Leon; Dinesh Vidhani – Journal of Chemical Education, 2023
Artificial intelligence (AI) technology has the potential to revolutionize the education sector. This study sought to determine the efficacy of ChatGPT to correctly answer questions a learner would use and to elucidate how the AI was processing potential prompts. Our goal was to evaluate the role of prompt formats, response consistency, and…
Descriptors: Artificial Intelligence, Educational Technology, Program Effectiveness, Prompting
Betty Exintaris; Nilushi Karunaratne; Elizabeth Yuriev – Journal of Chemical Education, 2023
Successful problem solving is a complex process that requires content knowledge, process skills, developed critical thinking, metacognitive awareness, and deep conceptual reasoning. Teaching approaches to support students developing problem-solving skills include worked examples, metacognitive and instructional scaffolding, and variations of these…
Descriptors: College Bound Students, Problem Solving, Metacognition, Scaffolding (Teaching Technique)
Adam Sales; Ethan Prihar; Johann Gagnon-Bartsch; Neil Heffernan – Society for Research on Educational Effectiveness, 2023
Background: Randomized controlled trials (RCTs) give unbiased estimates of average effects. However, positive effects for the majority of students may mask harmful effects for smaller subgroups, and RCTs often have too small a sample to estimate these subgroup effects. In many RCTs, covariate and outcome data are drawn from a larger database. For…
Descriptors: Learning Analytics, Randomized Controlled Trials, Data Use, Accuracy

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