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Alejandra J. Magana; Joreen Arigye; Abasiafak Udosen; Joseph A. Lyon; Parth Joshi; Elsje Pienaar – International Journal of STEM Education, 2024
Background: This study posits that scaffolded team-based computational modeling and simulation projects can support model-based learning that can result in evidence of representational competence and regulatory skills. The study involved 116 students from a second-year thermodynamics undergraduate course organized into 24 teams, who worked on…
Descriptors: Scaffolding (Teaching Technique), Thermodynamics, Science Education, Undergraduate Study
Alexander C. Romney; Christopher J. Hartwell; Jake T. Harrison; Mitchell Pound – Management Teaching Review, 2024
We present a case-based role-play exercise that effectively simulates a crisis students must manage. In the exercise, a farm equipment manufacturing company has decided to redirect its product line, and this change requires laying off a significant portion of its workforce. Students must grapple with the fact that a local news report will be…
Descriptors: Manufacturing Industry, Learning Activities, Business Administration Education, Class Activities
Inga Laukaityte; Marie Wiberg – Practical Assessment, Research & Evaluation, 2024
The overall aim was to examine effects of differences in group ability and features of the anchor test form on equating bias and the standard error of equating (SEE) using both real and simulated data. Chained kernel equating, Postratification kernel equating, and Circle-arc equating were studied. A college admissions test with four different…
Descriptors: Ability Grouping, Test Items, College Entrance Examinations, High Stakes Tests
Hanni Muukkonen; Anu Kajamaa – Journal of the Learning Sciences, 2024
Background: Higher education is expected to prepare students with interdisciplinary learning (IDL), which is important for their educational and working life opportunities. The cocreation of knowledge in interdisciplinary teams offers multiple opportunities for the emergence of collective knowledge objects (KOs) and knowledge practices (KPs).…
Descriptors: Epistemology, Interdisciplinary Approach, Simulation, Higher Education
Stephanie A. Berg – ProQuest LLC, 2024
All chemistry students must develop competency in analyzing and making sense of data. However, there are many difficulties that chemistry students may experience while analyzing data. Many students may not use relevant prior knowledge to aid in making sense of data, or they may not form conclusions using all the data provided. Additionally, prior…
Descriptors: Chemistry, Data Analysis, Data Interpretation, Undergraduate Students
Ming Wang; Jun Zhan; Tao Hu – Journal of Information Systems Education, 2024
This study introduces a modular teaching framework for business data analytics (BDA) curricula and programs. The framework integrates gamification features of the SAP business processes, ERPsim Games, and SAP data warehousing into the experiential learning of BDA curricula. The pedagogical practices of deploying the framework in an undergraduate…
Descriptors: Business Education, Data Analysis, Gamification, Experiential Learning
Zhikai Gao; Gabriel Silva de Oliveira; Damilola Babalola; Collin Lynch; Sarah Heckman – International Educational Data Mining Society, 2024
Promptly and properly addressing students' help requests during office hours is a critical challenge for large CS courses. With a large amount of help requests, instructors often find themselves facing a long office hours queue and need to decide who to help next. Most instructors typically select the earliest arrival students (FCFS), while some…
Descriptors: Teacher Responsibility, Educational Strategies, Higher Education, Computer Science Education
Rotkin, Vladimir; Yavich, Roman; Malev, Sergey – Journal of Education and e-Learning Research, 2018
An important feature of the currently used artificial intelligence systems is their anthropomorphism. The tool of inductive empirical systems is a neural network that simulates the human brain and operates in the "black box" mode. Deductive analytical systems for representation of knowledge use transparent formalized models and…
Descriptors: Artificial Intelligence, Simulation, Electronic Learning, Educational Technology
Tiago Reis da Silva – Journal of Learning Development in Higher Education, 2025
Compassion and empathy are foundational to nursing education, influencing patient outcomes and fostering holistic care. Despite their critical role, integrating these values into curricula often encounters challenges, such as limited standardisation, institutional constraints, and the difficulty of assessing emotional competencies. This article…
Descriptors: Nursing Education, Altruism, Caring, Empathy
Emily Wierszewski; Roni Kay O’Dell – Teaching & Learning Inquiry, 2025
This research assesses how interdisciplinary pedagogical interventions can prepare students to tackle complex problems, such as the refugee and migrant crisis. The co-authors created a six-week interdisciplinary module, introducing students to refugee and migrant rights, experiences, and challenges from two disciplinary pedagogical and substantive…
Descriptors: Refugees, Immigrants, Interdisciplinary Approach, International Relations
Matthew Moreno; Keerat Grewal; Maria Cutumisu; Jason M. Harley – Educational Psychology Review, 2025
Medical simulations allow medical trainees to work within teams to develop their self-regulated learning (SRL) and socially shared regulated learning (SSRL) skills. These skills are imperative in optimizing performance and teamwork and could be reflected in physiological responses given by learners. This study examines how medical trainees'…
Descriptors: Artificial Intelligence, Technology Uses in Education, Prediction, Algorithms
Matthew Moreno; Keerat Grewal; Maria Cutumisu; Jason M. Harley – Educational Psychology Review, 2025
Medical simulations allow medical trainees to work within teams to develop their self-regulated learning (SRL) and socially shared regulated learning (SSRL) skills. These skills are imperative in optimizing performance and teamwork and could be reflected in physiological responses given by learners. This study examines how medical trainees'…
Descriptors: Artificial Intelligence, Technology Uses in Education, Prediction, Algorithms
Rachel Bleiman; Hwanhee Park; Aunshul Rege – Journal of Cybersecurity Education, Research and Practice, 2025
The online dating industry generated 2.98 billion USD in 2023 and is estimated to reach 3.6 billion USD by 2025. Not surprisingly, online dating platforms are rife with romance scams that cause financial damages, with estimated losses of 1.3 billion USD in 2022 alone. Additionally, victims suffer emotional and psychological harms. This paper…
Descriptors: Dating (Social), Computer Mediated Communication, Deception, Victims
Broadfoot, Courtney K.; Estis, Julie M. – Teaching and Learning in Communication Sciences & Disorders, 2020
Advancements in medical technology have contributed to increased rates of preterm birth. Prematurity places infants at high risk for feeding difficulties, however. Early identification and assessment of preterm infant dysphagia is critical to maximize nutrition and hydration, feeding safety, and growth and development. The purpose of this study…
Descriptors: Premature Infants, At Risk Persons, Nutrition, Physical Disabilities
Cullen, Hayley J.; Monds, Lauren A. – Applied Cognitive Psychology, 2020
Jury simulation research has been the subject of longstanding criticism in regards to ecological validity. One additional factor that has received little attention that may also impact the generalizability of this research relates to excluding participants based on their memory of, or their attention paid to, the case. In order to determine how…
Descriptors: Court Litigation, Simulation, Memory, Validity

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