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Showing 1 to 15 of 22 results Save | Export
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Fu Chen; Chang Lu; Ying Cui – Education and Information Technologies, 2024
Successful computer-based assessments for learning greatly rely on an effective learner modeling approach to analyze learner data and evaluate learner behaviors. In addition to explicit learning performance (i.e., product data), the process data logged by computer-based assessments provide a treasure trove of information about how learners solve…
Descriptors: Computer Assisted Testing, Problem Solving, Learning Analytics, Learning Processes
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Afef Saihi; Mohamed Ben-Daya; Moncer Hariga – Education and Information Technologies, 2025
The integration of AI-chatbots into higher education offers the potential to enhance learning practices. This research aims to explore the factors influencing AI-chatbots adoption within higher education, with a focus on the moderating roles of technological proficiency and academic discipline. Utilizing a survey-based approach and advanced…
Descriptors: Technology Uses in Education, Artificial Intelligence, Higher Education, Technology Integration
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Baig, Maria Ijaz; Yadegaridehkordi, Elaheh; Shuib, Liyana; Sallehuddin, Hasimi – Education and Information Technologies, 2023
Even though big data offers new opportunities to organizations, big data adoption (BDA) is still in the early stages of introduction, and its determinants remain unclear in many sectors. Therefore, this research intended to identify the determinants of BDA in the education sector. A theoretical model was developed based on the integration of the…
Descriptors: Foreign Countries, Learning Analytics, Higher Education, Structural Equation Models
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Ashima Kukkar; Rajni Mohana; Aman Sharma; Anand Nayyar – Education and Information Technologies, 2024
In the profession of education, predicting students' academic success is an essential responsibility. This study introduces a novel methodology for predicting students' pass or fail outcome in certain courses. The system utilises academic, demographic, emotional, and VLE sequence information of students. Traditional prediction methods often…
Descriptors: Predictor Variables, Academic Achievement, Pass Fail Grading, Long Term Memory
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Göktepe Yildiz, Sevda; Göktepe Körpeoglu, Seda – Education and Information Technologies, 2023
Traditionally, students' various educational characteristics are evaluated according to the grades they get or the results of their answers to the scales. There are some limitations in making an evaluation based on the results. The fuzzy logic approach, which tries to eliminate these limitations, has recently been used in the field of education.…
Descriptors: Foreign Countries, Students, Student Attitudes, Problem Solving
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Zhou, Munyaradzi; Dzingirai, Canicio; Hove, Kudakwashe; Chitata, Tavengwa; Mugandani, Raymond – Education and Information Technologies, 2022
This study focuses on the uses of digital technology during teaching and learning. The preparedness, adoption, and use of virtual learning are inquired. Technology cannot enhance learning unless adopted, embraced, and effectively used. Three hundred and one (301) online questionnaires were administered to Higher and Tertiary institutions (HTEIs)…
Descriptors: Technology Uses in Education, Technology Integration, COVID-19, Pandemics
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Costa, Stella F.; Diniz, Michael M. – Education and Information Technologies, 2022
The large rates of students' failure is a very frequent problem in undergraduate courses, being even more evident in exact sciences. Pointing out the reasons of such problem is a paramount research topic, though not an easy task. An alternative is to use Educational Data Mining techniques (EDM), which enables one to convert data from educational…
Descriptors: Prediction, Undergraduate Students, Mathematics Education, Models
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Mehdi, Riyadh; Nachouki, Mirna – Education and Information Technologies, 2023
Predicting student's successful completion of academic programs and the features that influence their performance can have a significant effect on improving students' completion, and graduation rates and reduce attrition rates. Therefore, identifying students are at risk, and the courses where improvements in content, delivery mode, pedagogy, and…
Descriptors: Foreign Countries, Grade Point Average, Graduation, Time to Degree
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Özüdogru, Melike – Education and Information Technologies, 2022
The purpose of this study was to investigate the perceptions of teacher candidates about distance education teacher training classroom environments and to display the relationships among distance education classroom environment variables and course achievement. This study was designed according to relational survey research and employed structural…
Descriptors: Structural Equation Models, Distance Education, Preservice Teacher Education, Preservice Teachers
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Akgül, Yakup; Uymaz, Ali Osman – Education and Information Technologies, 2022
The paper's main aim is to investigate and predict major factors in students' behavioral intentions toward academic use of Facebook/Meta as a virtual classroom, taking into account its adoption level, purpose, and education usage. In contrast to earlier social network research, this one utilized a novel technique that comprised a two-phase…
Descriptors: Social Media, Virtual Classrooms, Higher Education, Technology Uses in Education
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Eksail, Fuad Ali Ahmed; Afari, Ernest – Education and Information Technologies, 2020
It is becoming necessary for trainee teachers to willingly accept technology as a tool for learning, effective teaching and assessment. The aim of this study is to measure trainee teachers' perceived usefulness, perceived ease of use, subjective norm, facilitating conditions, attitude towards technology use and behavioural intention to use…
Descriptors: Technology Integration, Teaching Methods, Foreign Countries, Preservice Teachers
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Al-Shihi, Hafedh; Sharma, Sujeet Kumar; Sarrab, Mohamed – Education and Information Technologies, 2018
The proliferation of mobile computing technologies is playing major role in the growth of mobile learning (M-learning) market around the globe. The purpose of this paper is to develop a research model in the lines of commonly used models the Unified Theory of Acceptance and Use of Technology (UTAUT) and Technology Acceptance Model (TAM) by…
Descriptors: Predictor Variables, Technology Uses in Education, Models, College Students
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Kumar, Jeya Amantha; Bervell, Brandford – Education and Information Technologies, 2019
The study adopted a modified Unified Theory of Acceptance and Use of Technology2(UTAUT2) as a theoretical foundation to investigate students' initial perceptions of Google Classroom as a mobile learning platform. By including six non-linear relationships within the modified model, the study examined the nuances in interaction terms between Habit…
Descriptors: Technology Uses in Education, Electronic Learning, Higher Education, Student Attitudes
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Senkbeil, Martin – Education and Information Technologies, 2022
This study examined the incremental validity of different information and communication technologies (ICT)-related person characteristics over and above intelligence and and prior achievement when predicting ICT literacy across a period of three years. Relative weights analyses were performed to determine the relative contribution of each…
Descriptors: Technological Literacy, Information Technology, Validity, Individual Characteristics
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Balouchi, Shima; Samad, Arshad Abdul – Education and Information Technologies, 2021
The primary purpose of this study was to investigate the mediating effects of second language (L2) motivation, willingness to communicate (WTC), and international posture on the relationship between L2 Self-perceived communication competence (SPCC) and L2 frequency of communication (L2 FC) in online informal English learning contexts among…
Descriptors: Communication (Thought Transfer), Second Language Learning, Second Language Instruction, Foreign Countries
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