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Artur Strzelecki – Education and Information Technologies, 2025
This research explored the attitudes of higher education students toward ChatGPT, an AI tool commonly employed for academic assistance. Our aim was to investigate students' acceptance and use of ChatGPT during their academic pursuits. We targeted two distinctive groups for our study: undergraduate and postgraduate students. Our findings show that…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Undergraduate Students
Huang, Chung-Kai – Education and Information Technologies, 2023
The purpose of this study was to deploy digital technology in ways that would help mathematics teachers in a remote rural Taiwanese middle school construct a differentiated classroom aligned with students' needs. We attempted to develop seventh-grade mathematics course modules that could meet quality educational requirements and equal…
Descriptors: Foreign Countries, Educational Technology, Mathematics Instruction, Mathematics Teachers
Yilmaz, Ramazan; Yurdugül, Halil – Journal of Computing in Higher Education, 2018
The purpose of this study is to find out the level of cyberloafing behaviors of the students in information technologies (IT) classrooms; and to examine the relationship between cyberloafing behaviors and the psycho-social perceptions, attitudes and motivation for the courses and learning strategies. Correlational method was utilized; and…
Descriptors: Educational Technology, Technology Uses in Education, Student Behavior, Correlation
Prima, EkaCahya; Putri, Aldia Ridwani; Rustaman, Nuryani – Journal of Science Learning, 2018
This research investigated the implementation of PhET simulation on students' understanding and motivation in learning the Solar system. The method used in this research was quasi-experimental with matching pretest-posttest group design. The research conducted in one of private Junior High School located at Padalarang, Indonesia with a number of…
Descriptors: Foreign Countries, Junior High School Students, Private Schools, Computer Simulation
Stiller, Klaus D.; Bachmaier, Regine – European Journal of Open, Distance and E-Learning, 2017
High dropout rates are still a problem with online training. It is strongly suggested that learner characteristics influence the decision to persist in an online course or to drop out. The study explored the differences in domain-specific prior knowledge, motivation, computer attitude, computer anxiety, and learning skills between dropouts and…
Descriptors: Foreign Countries, Dropout Rate, Knowledge Level, Student Motivation
García-Santillán, Arturo; Escalera-Chávez, Milka Elena; López-Morales, José Satsumi; Córdova Rangel, Arturo – Turkish Online Journal of Educational Technology - TOJET, 2014
In this paper we examine the relationships between students' attitudes towards mathematics and technology, therefore, we take a Galbraith and Hines' scale (1998, 2000) about mathematics confidence, computer confidence, computer and mathematics interaction, mathematics motivation, computer motivation, and mathematics engagement. 164 questionnaires…
Descriptors: Foreign Countries, College Students, Student Attitudes, Computer Attitudes
Chang, Chi-Cheng; Liang, Chaoyun; Yan, Chi-Fang; Tseng, Ju-Shih – Asia-Pacific Education Researcher, 2013
Mobile learning, with its features of ubiquitousness and flexibility, enables users to learn in any appropriate place and at any appropriate time. This emerging way of digital learning will be the future trend. Therefore, the technology acceptance model (TAM) proposed by Davis was extended with extrinsic motivation, perceived convenience, and…
Descriptors: College Students, Student Motivation, Intention, Electronic Learning
Sansone, Carol; Fraughton, Tamra; Zachary, Joseph L.; Butner, Jonathan; Heiner, Cecily – Educational Technology Research and Development, 2011
Successful online students must learn and maintain motivation to learn. The Self-regulation of Motivation (SRM) model (Sansone and Thoman 2005) suggests two kinds of motivation are essential: Goals-defined (i.e., value and expectancy of learning), and experience-defined (i.e., whether interesting). The Regulating Motivation and Performance Online…
Descriptors: Electronic Learning, Student Motivation, Online Courses, Learning Motivation
Aygün, Mustafa; Korkmaz, Özgen – Online Submission, 2012
In this study, the effects of Algo-Heuristic Theory based blended learning environments on students' computer skills in their preparation of presentations, levels of attitudes towards computers, and levels of motivation regarding the information technology course were investigated. The research sample was composed of 71 students. A semi-empirical…
Descriptors: Blended Learning, Educational Technology, Technology Uses in Education, Computer Literacy
Sun, Jerry Chih-Yuan; Rueda, Robert – British Journal of Educational Technology, 2012
This study investigates possible relationships among motivational and learning variables (interest, self-efficacy and self-regulation) and three types of student engagement (behavioural engagement, emotional engagement and cognitive engagement) in a distance education setting. Participants were 203 students enrolled in online classes in the fall…
Descriptors: Learner Engagement, Electronic Learning, Self Efficacy, Gerontology
Nugent, Gwen; Barker, Bradley; Grandgenett, Neal; Adamchuk, Viacheslav I. – Journal of Research on Technology in Education, 2010
This study examined the impact of robotics and geospatial technologies interventions on middle school youth's learning of and attitudes toward science, technology, engineering, and mathematics (STEM). Two interventions were tested. The first was a 40-hour intensive robotics/GPS/GIS summer camp; the second was a 3-hour event modeled on the camp…
Descriptors: Control Groups, Intervention, Robotics, Middle School Students
Naimie, Zahra; Siraj, Saedah; Ahmed Abuzaid, Rana; Shagholi, Reihaneh – Turkish Online Journal of Educational Technology - TOJET, 2010
If students are demotivated, confused and look tired in class, one solution is to use new teaching styles in your class to overcome such problems. This is because learners learn in different ways such as hearing, seeing, taking notes, imagining and visualizing, among many others. The paper reports firstly, the impact of teaching and learning style…
Descriptors: Foreign Countries, Cognitive Style, Teaching Styles, Teaching Methods
Chatzoglou, Prodromos D.; Sarigiannidis, Lazaros; Vraimaki, Eftichia; Diamantidis, Anastasios – Computers & Education, 2009
In the last few decades, the implementation of information technology has given rise to several organizational training needs that have to be satisfied, in order to empower organizational IT performance. The users of new technologies have to be trained quickly and efficiently, and since they are usually distributed to different remote locations,…
Descriptors: Educational Needs, Employees, Structural Equation Models, Self Efficacy
Karemaker, Arjette; Pitchford, Nicola J.; O'Malley, Claire – Computers & Education, 2010
The effectiveness of a reading intervention using the whole-word multimedia software "Oxford Reading Tree (ORT) for Clicker" was compared to a reading intervention using traditional ORT Big Books. Developing literacy skills and attitudes towards learning to read were assessed in a group of 17 struggling beginner readers aged 5-6 years. Each child…
Descriptors: Intervention, Phonological Awareness, Computer Software, Word Recognition
Sang, Guoyuan; Valcke, Martin; van Braak, Johan; Tondeur, Jo – Computers & Education, 2010
Student teachers should be prepared to integrate information and communication technology (ICT) into their future teaching and learning practices. Despite the increased availability and support for ICT integration, relatively few teachers intend to integrate ICT into their teaching activities (e.g., Ertmer, 2005). The available research has thus…
Descriptors: Constructivism (Learning), Preservice Teachers, Self Efficacy, Path Analysis
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