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Gaby Probst; Laura Zizka – Quality Assurance in Education: An International Perspective, 2024
Purpose: Higher education institutions (HEIs) seek innovative approaches to attract students. Since the COVID-19 pandemic, many HEIs have considered diversification through digitalization. From the initial urgency to implement technology at the start of the pandemic to a gradual acceptance over time, HEIs witnessed a shift in perceptions. This…
Descriptors: College Students, College Faculty, Teacher Attitudes, Student Attitudes
Sprenger, David A.; Schwaninger, Adrian – British Journal of Educational Technology, 2023
The technology acceptance model (TAM) uses perceived usefulness and perceived ease of use to predict the intention to use a technology which is important when deciding to invest in a technology. Its extension for e-learning (the general extended technology acceptance model for e-learning; GETAMEL) adds subjective norm to predict the intention to…
Descriptors: Video Technology, Demonstrations (Educational), Prediction, Intention
Kuhn, Axel; Schneider, Ute; Schwabe, Annika – Higher Education Research and Development, 2023
Digital text has become the dominant medium for participation in higher education. Yet little is known about the consequences from the shift to digital text usage on the academic reading practices of specific groups of students. Using a unique data set of higher education students, we analyse differences in digital reading skills, practices,…
Descriptors: Foreign Countries, College Students, Gender Differences, Reading Skills
Fadoua Balabdaoui; Nora Dittmann-Domenichini; Henry Grosse; Claudia Schlienger; Gerd Kortemeyer – Discover Education, 2024
We report the results of a 4800-respondent survey among students at a technical university regarding their usage of artificial intelligence tools, as well as their expectations and attitudes about these tools. We find that many students have come to differentiated and thoughtful views and decisions regarding the use of artificial intelligence. The…
Descriptors: Foreign Countries, College Students, Artificial Intelligence, Student Attitudes
Mirata, Victoria; Bergamin, Per – Educational Technology Research and Development, 2023
Despite its advantages and potentials, the extent of the implementation of adaptive learning remains limited. Recent studies identified the critical determinants associated with its scaled implementation and proposed various frameworks and strategies to support it. However, little has been done to identify the empirical relationships between such…
Descriptors: Organizational Development, Higher Education, Educational Strategies, Foreign Countries
Guggemos, Josef; Sonderegger, Stefan; Seufert, Sabine – International Association for Development of the Information Society, 2022
Social robots have the potential to play a vital role in education. Student technology acceptance may be considered as a driver for their successful integration in educational processes. Based on the ICAP (Interactive, Constructive, Active, Passive) framework and research on social robot roles, we have developed eight vignettes describing…
Descriptors: College Students, Robotics, Teaching Assistants, Educational Technology
Patricia Feubli; Douglas MacKevett; Jürg Schwarz – Journal of Computer Assisted Learning, 2024
Background: This research paper presents a cross-sectional study that examinefs the preferences of students for hybrid teaching and learning scenarios. Unlike previous studies that merely describe hybrid scenarios, this research prioritizes them, offering evidence-based findings for informed policy decisions. Methods: The data collection method…
Descriptors: Blended Learning, Preferences, Foreign Countries, Educational Environment
Luca Botturi; Tiffany Fioroni; Chiara Beretta; Davide Andreoletti; Alessandro Ferrari; Felipe Cardoso; Anna Picco-Schwendener; Suzanna Marazza; Silvia Giordano – Educational Technology Research and Development, 2024
Privacy is a central issue in the digitalization of society and directly concerns all Internet users. Privacy education is part of the picture of a more just digital society: it aims at making users more aware of the importance of their data and of the technical and financial tools and processes that involve their personal data. Nonetheless,…
Descriptors: Computer Simulation, Privacy, Internet, Student Behavior
Gülbahar, Yasemin; Rapp, Christian; Kilis, Selcan; Sitnikova, Anna – International Review of Research in Open and Distributed Learning, 2017
While ubiquitous in everyday use, in reality, social media usage within higher education teaching has expanded quite slowly. Analysis of social media usage of students and instructors for teaching, learning, and research purposes across four countries (Russia, Turkey, Germany, and Switzerland) showed that many higher education instructors actively…
Descriptors: Higher Education, Social Media, Technology Uses in Education, Educational Technology
Prieto, Luis P.; Sharma, Kshitij; Kidzinski, Lukasz; Dillenbourg, Pierre – IEEE Transactions on Learning Technologies, 2018
Orchestration load is the effort a teacher spends in coordinating multiple activities and learning processes. It has been proposed as a construct to evaluate the usability of learning technologies at the classroom level, in the same way that cognitive load is used as a measure of usability at the individual level. However, so far this notion has…
Descriptors: Eye Movements, Cognitive Ability, Usability, Classroom Techniques
Meyer, Stephan; Blondel, Valérie; Mall-Grob, Beatrice – Language Learning in Higher Education, 2017
This article addresses the questions: why is the development of conversational competence important within higher education? And how might this goal be pursued? We offer answers that may aid a broad range of stakeholders (language learners, course designers, lecturers, language development managers, and policy makers) in thinking through these…
Descriptors: Communicative Competence (Languages), Higher Education, Conversational Language Courses, Second Language Instruction
Raca, Mirko; Tormey, Roland; Dillenbourg, Pierre – Journal of Learning Analytics, 2016
Body language is an essential source of information in everyday communication. Low signal-to-noise ratio prevents us from using it in the automatic processing of student behaviour, an obstacle that we are slowly overcoming with advanced statistical methods. Instead of profiling individual behaviour of students in the classroom, the idea is to…
Descriptors: Student Behavior, Attention, Reaction Time, Student Reaction
Li, Nan; Verma, Himanshu; Skevi, Afroditi; Zufferey, Guillaume; Blom, Jan; Dillenbourg, Pierre – Distance Education, 2014
Research suggests that massive open online course (MOOC) students prefer to study in groups, and that social facilitation within the study groups may render the learning of difficult concepts a pleasing experience. We report on a longitudinal study that investigates how co-located study groups watch and study MOOC videos together. The study was…
Descriptors: Online Courses, Video Technology, Cooperative Learning, Large Group Instruction
Botturi, Luca – Canadian Journal of Learning and Technology, 2006
This paper reports the results of an empirical study that investigated the instructional design process of three teams involved in the development of an e-learning unit. The teams declared they were using the same fast-prototyping design and development model, and were composed of the same roles (although with a different number of SMEs).…
Descriptors: Instructional Design, Electronic Learning, Educational Technology, Models
Santoro, Marina; Mazzotti, Marco – Chemical Engineering Education, 2006
Hyper-TVT is a computer-aided education system that has been developed at the Institute of Process Engineering at the ETH Zurich. The aim was to create an interactive learning environment for chemical and process engineering students. The topics covered are the most important multistage separation processes, i.e. fundamentals of separation…
Descriptors: Chemical Engineering, Computer Assisted Instruction, Educational Technology, College Students