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Rhonda Bondie; Elizabeth City – Learning Professional, 2024
New questions and concerns arise every day about the impact of AI in schools, such as how teachers will learn about AI and leverage it in their classrooms, how they can use it to develop their own teaching expertise, and if AI for educators really leads to better teaching and learning. The authors believe that AI can help teachers become more…
Descriptors: Preservice Teacher Education, Artificial Intelligence, Computer Simulation, Microteaching
Evaluative Feedback Isn't Enough: Harnessing the Power of Consequential Feedback in Higher Education
Kathleen M. Quinlan; Edd Pitt – Assessment & Evaluation in Higher Education, 2025
Most research on feedback in higher education focuses on evaluative feedback and its recipience, uptake, and enactment. Evaluative feedback information includes judgments, critiques and suggestions for improvement provided by a teacher, peer, self, pre-programmed automatic feedback, or artificial intelligence tutoring systems. In contrast, we…
Descriptors: Feedback (Response), Concept Formation, Higher Education, Health Education
Michael Hast – Higher Education Studies, 2025
The rapid shift towards online learning in higher education has transformed the landscape of essential academic skills, with presentation abilities emerging as a crucial competency for student success. This paper addresses the challenges and opportunities associated with teaching presentation skills in a distance education context. Traditional…
Descriptors: Distance Education, Computer Simulation, Online Courses, Outcomes of Education
Student, Sanford R. – Educational Researcher, 2022
Empirical growth benchmarks, as introduced by Hill, Bloom, Black, and Lipsey (2008), are a well-known way to contextualize effect sizes in education research. Past work on these benchmarks, both positive and negative, has largely avoided confronting the role of vertical scales, yet technical issues with vertical scales trouble the use of such…
Descriptors: Computer Simulation, Benchmarking, Effect Size, Intervention
Arter, Patricia S.; Brown, Tammy B. H.; Barna, Jennifer; Law, Monica; Fidiam, Regina; Fruehan, Allison; Daquila, Jessica – TEACHING Exceptional Children, 2022
While job interviewing training is part of the transition planning and school-to-work curriculum, using virtual reality (VR) can be a valuable addition to the current curriculum, specifically given the unique characteristics of individuals with ASD. This article will provide step-by step procedures to integrate VR into the current classroom…
Descriptors: Job Search Methods, Employment Interviews, Computer Simulation, Autism Spectrum Disorders
Hadjistassou, Stella; Joannidou, Shaunna; Molina, Pedro; Louca, Petros; Papmehl-Dufay, Ludvig – Education for Information, 2023
Drawing on Kucher's (2021) framework on digital game-based learning (DGBL), this paper introduces the development of game-based scenarios in two culturally distinctive and salient heritage sites in Cyprus and Sweden, the Neolithic village of Choirokoitia and the Iron Age Ringfort of Sandby Borg. The aim was to implement Kucher's (2021) five…
Descriptors: Physical Environment, Simulated Environment, Synthesis, Information Technology
Hemmerich, Abby; Hoepner, Jerry – Journal of Teaching and Learning with Technology, 2022
A common challenge for clinical training programs is helping students apply academic knowledge to clinical settings. Authentic assessment using simulation offers a unique approach to bridging this gap. Miller's pyramid provides a framework for competency-based education that integrates formative assessment and feedback at each stage of student…
Descriptors: Video Technology, Computer Simulation, Technology Uses in Education, Clinical Experience
Reis, Helena Macedo; Alvares, Danilo; Jaques, Patrícia A.; Isotani, Seiji – Informatics in Education, 2021
Emotions can influence cognitive development and are key elements to the teaching-learning process. Positive emotions (e.g., engagement) can improve the ability to solve problems, store information, and make decisions. On the other hand, negative emotions (e.g., boredom) reduce the capacity to process information at a deeper level, preventing…
Descriptors: Emotional Response, Teaching Methods, Algebra, Mathematics Instruction
Birrell, Carole Louise – Journal of Statistics Education, 2020
Sample survey design is a topic usually taught to students undertaking a minor or major in statistics in the latter part of their bachelor's degree. This article describes an assessment project that fosters active learning and helps to develop a set of essential skills for statistical practice. The project is completed in pairs and submitted in…
Descriptors: Teamwork, Design, Teaching Methods, Statistics
Watson, Sandy White – Science Teacher, 2019
Educational researchers have long advocated for the integration of computer simulations (sims) in science courses, citing the positive effects these tools have on students' science conceptual comprehension (Develaki 2017; Hannafin, West, and Shepard 2009; Lamb et al. 2011). In fact, Liao (2007) investigated the learning differences between…
Descriptors: Chemistry, Science Instruction, Models, Computer Simulation
Dominguez, Amanda M.; Feldman, Marina; Battey, Dan; Palpacuer Lee, Christelle; Hunsdon, Jessica – Mathematics Teacher: Learning and Teaching PK-12, 2022
During a typical family mathematics night (FMN), families are invited to a school, and parents and guardians work on mathematics activities with their children while teachers facilitate activities and share information on how to better support children in their mathematical development. How might this engagement change when information is not…
Descriptors: Mathematics Instruction, COVID-19, Pandemics, Multilingualism
Yoo, Hanwook; Hambleton, Ronald K. – Educational Measurement: Issues and Practice, 2019
Item analysis is an integral part of operational test development and is typically conducted within two popular statistical frameworks: classical test theory (CTT) and item response theory (IRT). In this digital ITEMS module, Hanwook Yoo and Ronald K. Hambleton provide an accessible overview of operational item analysis approaches within these…
Descriptors: Item Analysis, Item Response Theory, Guidelines, Test Construction
Soong, Ronald; Jenne, Amy; Lysak, Daniel H.; Biswas, Rajshree Ghosh; Adamo, Antonio; Kim, Kris S.; Simpson, Andre – Journal of Chemical Education, 2021
Due to the COVID-19 pandemic, social distancing restrictions are in place in most public settings, and the undergraduate laboratory is no exception. In order to accommodate social distancing requirements, many laboratory exercises are being redeployed in an online format, which deprives students of experiential learning opportunities in a real…
Descriptors: COVID-19, Pandemics, Undergraduate Students, Science Instruction
Blackburn, Richard A. R.; Villa-Marcos, Barbara; Williams, Dylan P. – Journal of Chemical Education, 2019
A series of laboratory themed simulations developed by Learning Science Ltd. were integrated into a first year laboratory module at the University of Leicester. These simulations allow students to attempt the experiments they will do in the laboratory in a risk-free way that provides the opportunity to make mistakes and learn how to correct them…
Descriptors: Chemistry, Science Instruction, Teaching Methods, Learner Engagement
Gray, Colin M. – Design and Technology Education, 2021
Our undergraduate UX program at Purdue University launched in 2016 as one of the first UX-focused undergraduate degree programs in the United States, intentionally designed to support the unique characteristics of a residential, research-intensive, land-grant institution. We designed multiple overlapping studio experiences that formed multiple…
Descriptors: Educational Change, Design, Undergraduate Students, Online Courses

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