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Berge, Zane L.; Garcia, Kristen M.; Graham, Michelle A. – Journal of Educational Technology, 2022
Given the array of generations in the workplace and the variety of learning theories and technological exposure across those generations, many instructional design professionals argue that training should be tailored to these differences. We were skeptical of this assertion and sought to explore evidence for improved effectiveness in tailoring…
Descriptors: Job Training, Generational Differences, Preferences, Teaching Methods
Lauren Schnell-Peskin; Gina Riley; Kristen Hodnett; Virginia Gryta; April Kisamore – International Journal of Information and Learning Technology, 2024
Purpose: It is now considered commonplace to teach in a multigenerational higher education classroom that is made up of Baby Boomers, Generation X, Y and Z students. To ensure that all students, regardless of their generational identity, are successful in the classroom, educators must teach purposefully, with an understanding of the variables that…
Descriptors: Student Needs, Higher Education, Intergenerational Programs, Adult Students
Zitouniatis, Athanasios; Lazarinis, Fotis; Kanellopoulos, Dimitris – Education and Information Technologies, 2023
This paper proposes a scenario-based learning (SBL) methodology for teaching Computational Thinking (CT). The presented scenario includes educational material that teaches the basic concepts of a Python course for beginners. The scenario allows the educator to utilize a combination of tools and services and follow a mind map. Moreover, it presents…
Descriptors: Students, Computation, Thinking Skills, Programming Languages
John A. Huss – InSight: A Journal of Scholarly Teaching, 2023
Generation Z students are described as being our first "digital natives" who have grown up typing with their thumbs on smartphones and tuning out school-based interactions that do not capture their short attention spans. As Gen Z students occupy more post-secondary rosters for web based courses, they seek instructional models that…
Descriptors: College Students, Generational Differences, Online Courses, Teaching Methods
Ashley E. Maynard; Patricia M. Greenfield; Carla P. Childs; Michael Weinstock – Applied Developmental Science, 2024
Analyzing three sets of video data collected in one Maya community, we examined apprenticeship and learning of backstrap loom weaving over three generations spanning the years 1970 to 2012. Like many cultural groups, the Maya of Chiapas are experiencing rapid sociodemographic shifts. Three generations of girls (N = 134) were observed at their…
Descriptors: Foreign Countries, Indigenous Populations, Apprenticeships, Handicrafts
Hao Cheng; Keyi Lyu – SAGE Open, 2024
Reverse education, where younger individuals teach older adults, has gained prominence but lacks comprehensive understanding regarding its dynamics and impacts. This study addresses this gap by exploring the cognitive processes of older adult learners who view young university students as their teachers. Through semi-structured interviews with 12…
Descriptors: Older Adults, Adult Students, Young Adults, College Students
Sally F. Shady – Biomedical Engineering Education, 2025
Challenge: As biomedical engineers revolutionize medicine, biomedical engineering programs must adapt to the diverse learning styles of the current student population. Students are learning in new ways and instructional strategies need to be adopted. Novel Initiative: Understanding generational attributes is crucial for developing effective…
Descriptors: Undergraduate Students, Biomechanics, Science Instruction, Problem Based Learning
Serna M., Edgar; Serna A., Alexei – Journal of Educational Change, 2021
To demonstrate whether individuals of the new generation have developed a unique and different learning model, research was conducted on children aged 10-11 in England, the United States, Australia and Germany. The qualities and the characteristics those children seek in the activities with which they spend more time were recognized. Using this…
Descriptors: Foreign Countries, Preadolescents, Educational Technology, Technology Uses in Education
Lindelani Mnguni – Journal for STEM Education Research, 2025
This paper explores pre-service life sciences teachers' behavioral intentions toward integrating artificial intelligence into life sciences teaching. Despite the growing influence of AI in education, there is limited understanding of the factors affecting teachers' willingness to integrate AI into life sciences teaching. These factors could inform…
Descriptors: Foreign Countries, Preservice Teacher Education, Preservice Teachers, Biological Sciences
Zhanina U. Custodio; Teresita T. Rungduin; Emmanuel L. Cuevas; Rosana E. Cadiz; Therese Lyra Lyn L. Del Rosario; Kate Anjelline F. Dela Cruz; Maricris F. Egonia; Elieza Mae H. Estole – Support for Learning, 2025
Amid the pandemic, the education sector experienced rapid and profound transformations. Notably, the Philippines transitioned from traditional face-to-face instruction to the realm of distance learning, impacting students, particularly those with disabilities. This shift, called Emergency Remote Teaching (ERT), underscored the imperative of…
Descriptors: Family Involvement, Family School Relationship, Parent Teacher Cooperation, Special Education Teachers
Rashmi Chandel; Anumeha Bhagat; Anita S. Malhotra; Ravi Rohilla; Gurjit Kaur; Kiran Prakash – Advances in Physiology Education, 2025
This research focuses on Generation Z (Gen Z) students, specifically those in nursing colleges. Gen Z individuals display unique characteristics in terms of thinking, personality, lifestyle, and learning preferences compared to preceding generations, necessitating adaptations in teaching methodologies within nursing schools. This study explores…
Descriptors: Foreign Countries, Undergraduate Students, Nursing Education, Nursing Students
Karakus, Mehmet; Courtney, Matthew; Aydin, Hasan – Educational Assessment, Evaluation and Accountability, 2023
The present study explores the antecedents of first- and second-generation (1G and 2G) immigrant students' academic performance using PISA 2018 data. The study draws on an international sample of 11,582 students from 534 schools in 20 countries and focuses on PISA schools that catered to a mix of 1G and 2G students. The study explores the role…
Descriptors: Immigrants, Generational Differences, Student Characteristics, Student Attitudes
Wright, Meghan C.; Nichols, Thomas – Journal on Excellence in College Teaching, 2021
The authors describe the traits, typologies, and behaviors of Generation Z (those born after 1997) to set the stage for the changes needed to engage this generation of students in the classroom. Using this knowledge about Generation Z as a foundation, the authors call for innovative approaches to teaching that engage students actively in the…
Descriptors: Teaching Methods, Generational Differences, Student Motivation, Educational Innovation
Barbre, James O. – International Journal of Education and Literacy Studies, 2019
The goal of literacy development at schools is a standing feature of the curriculum. In spite of this, the means to develop critical thinking in students often comes up short. The development of literacy and critical thinking can be presented in engaging and memorable ways, but schools often defer to what they have done in the past; namely through…
Descriptors: Critical Thinking, Cartoons, Novels, Critical Literacy
Koumachi, Bani – International Journal of Technology in Education and Science, 2019
Digital technology has recently become a ubiquitous feature of the modern era posing problems to higher education institutions. Digitization of the academic life has brought forth the claims that there is an evident disparity between the digital naturals and digital immigrants and that the myth of the former is "undemystifiable". The…
Descriptors: Technological Literacy, Educational Technology, Technology Uses in Education, Higher Education