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Mehedi Hasan; Md. Karimuzzaman; Faruq Abdulla; Md. Moyazzem Hossain – SAGE Open, 2024
In the era of modern life, the use of mobile devices in the classroom helps to enhance the overall performance of students, however, it has some harmful effects on academic performance. Therefore, this study attempts to identify the association between mobile phone use and the academic performance of the students of Jahangirnagar University,…
Descriptors: Handheld Devices, Telecommunications, Technology Uses in Education, Guidelines
American Association of Colleges and Universities, 2024
Humanity is building exciting new partnerships with technology in the artificial intelligence age. Careers and work are rapidly being transformed and many of the jobs of tomorrow have not yet been invented. Students should make it their goal to become skilled in using AI comfortably, effectively, safely and ethically. Learn AI's capabilities and…
Descriptors: College Students, Student Experience, Technology Uses in Education, Artificial Intelligence
Pillai, K. R.; Upadhyaya, Pallavi; Balachandran, Asha; Nidadavolu, Janaki – Higher Education for the Future, 2019
This article intends to propose an integrative framework to make learning versatile, comprehensive and more effective, giving due cognizance to the fact that students of the future may require more knowledge and skill sets to thrive in the evolving digital era. The study followed an interpretivist philosophy to accomplish its goal. As a conceptual…
Descriptors: Educational Technology, Guidelines, Higher Education, Information Technology
Ergado, Amanuel Ayde; Desta, Amare; Mehta, Hemini – International Journal of Education and Development using Information and Communication Technology, 2022
This paper is aimed at exploring the contributing factors for the integration of Information and Communication Technology (ICT) into higher education teaching-learning practices. For the study, a qualitative case study was used and the stakeholders from higher learning institutions were selected via purposive sampling. The data collected through…
Descriptors: Teaching Methods, Learning Processes, Computer Software, Information Systems
Rets, Irina; Herodotou, Christothea; Gillespie, Anna – Journal of Learning Analytics, 2023
The progressive move of higher education institutions (HEIs) towards blended and online environments, accelerated by COVID-19, and their access to a greater variety of student data has heightened the need for ethical learning analytics (LA). This need is particularly salient in light of a lack of comprehensive, evidence-based guidelines on ethics…
Descriptors: Ethics, Learning Analytics, Evidence Based Practice, Guidelines
National Center on Accessible Educational Materials, 2020
When the "AEM Quality Indicators with Critical Components for Higher Education: Institutes of Higher Education" (ED613012) was updated, a series of interviews were conducted with experts in colleges, universities, and related associations with knowledge and experience in system- or campus-wide accessibility. Additionally, a literature…
Descriptors: Higher Education, Instructional Materials, Educational Quality, Accessibility (for Disabled)
Okai-Ugbaje, Safiya – Higher Education Research and Development, 2021
Using mobile devices to facilitate teaching and learning (m-learning) in higher education has continued to gain momentum. To ensure meaningful m-learning, several models and frameworks, including those focused on pedagogies and the learning environment, have been developed. However, the majority of these are derived from the context of high-income…
Descriptors: Teaching Methods, Telecommunications, Handheld Devices, Higher Education
Muhammad Farrukh Shahzad; Shuo Xu; Iqra Javed – International Journal of Educational Technology in Higher Education, 2024
As technology continues to advance, the integration of generative artificial intelligence tools in various sectors, including education, has gained momentum. ChatGPT, an extensively recognized language model created by OpenAI, has gained significant importance, particularly in education. This study investigates the awareness, acceptance, and…
Descriptors: Artificial Intelligence, Computer Software, College Students, Student Attitudes
van Wyk, Norman; Johnston, Kevin; Möller, Klaus; Haas, Florian – Online Submission, 2020
Aim/Purpose: Academics are often requested to create and teach courses for emerging technologies with perhaps no experience or guidance on how to do so. Background: A Framework to develop IT courses for emerging technologies was created and tested to assist academics; the framework was then tested by developing an IoT course. Methodology: A…
Descriptors: Information Science Education, Information Technology, College Faculty, Guidelines
Deribo, Tobias; Goldhammer, Frank; Kroehne, Ulf – Educational and Psychological Measurement, 2023
As researchers in the social sciences, we are often interested in studying not directly observable constructs through assessments and questionnaires. But even in a well-designed and well-implemented study, rapid-guessing behavior may occur. Under rapid-guessing behavior, a task is skimmed shortly but not read and engaged with in-depth. Hence, a…
Descriptors: Reaction Time, Guessing (Tests), Behavior Patterns, Bias
Nowak, Benjamin; Glenn, William J. – Education Leadership Review of Doctoral Research, 2017
Lower courts are beginning to grapple with challenges to students' Fourth Amendment right to be free from unreasonable search and seizure as it relates to the digital environment, cell phones in particular. Recently, lower courts in several states have applied standards set forth decades ago to decide cases involving searches of students' mobile…
Descriptors: Telecommunications, Handheld Devices, Privacy, Expectation
Hwang, Wu-Yuin; Nguyen, Van-Giap; Purba, Siska Wati Dewi – Education and Information Technologies, 2022
Since recognition technology has been widely used to support learners' language learning, it is necessary to have a framework that can support the implementation of anything-to-text recognition technology, such as speech-to-text recognition, image-to-text recognition, body movement-to-text recognition, emotion-to-text recognition, and…
Descriptors: Guidelines, Second Language Learning, Second Language Instruction, English (Second Language)
Doleck, Tenzin; Bazelais, Paul; Lemay, David John – Education and Information Technologies, 2017
Investigations in technology acceptance in education has largely overlooked certain unique populations like students from the "Collège d'enseignement général et professionnel" (CEGEP) system. In studies examining CEGEP students' use of technology, the Technology Acceptance Model (TAM) perspective has not been taken into account, nor have…
Descriptors: Social Networks, Guidelines, Student Attitudes, Role
Ball, Jacob D.; Fe Agana, Denny; Waugh, Sheldon; Wang, Kai; James, Tyler G.; Nicolette, Guy – Journal of American College Health, 2020
Objective: The objective of this study was to examine clinical and epidemiological information collected by Student Health Center (SHC) providers on HIV-positive students, and benchmark this information against Infectious Disease Society of America guidelines. Participants: Students who utilized the SHC and had an ICD-9 code indicating positive…
Descriptors: Medical Evaluation, Records (Forms), Epidemiology, Acquired Immunodeficiency Syndrome (AIDS)
National Center on Accessible Educational Materials, 2020
The purpose of the National AEM Center's Quality Indicators with Critical Components for Higher Education is to assist institutes of higher education, both at the system and campus level, with planning, implementing, and evaluating dynamic, coordinated systems for providing accessible materials and technologies for all students who need them. The…
Descriptors: Higher Education, Instructional Materials, Accessibility (for Disabled), Educational Quality