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Showing 1 to 15 of 19 results Save | Export
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Jumoke I. Oladele – Online Submission, 2023
The aim of the study was to examine self-motivation and study ethics as predictors of academic achievement among undergraduates in a Nigerian University. The study employed the correlation research design in the quantitative approach. Purposive sampling technique was used to draw a sample of 320 students out of which 228 students consented and…
Descriptors: Self Motivation, Undergraduate Students, Computer Software, Study Habits
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Li, Yuhao; Chang, Mengyi; Zhao, Hanxuan; Jiang, Caihong; Xu, Sihua – Journal of Computer Assisted Learning, 2023
Background: Mobile devices facilitate learning activities in a self-paced way. However, the current understanding of learning participation and its consequence are minimal when learners take advantage of opportunities provided by mobile technologies worldwide. Aims: The primary purpose of this study is to examine the effectiveness of environmental…
Descriptors: Anxiety, Computer Software, Computer Assisted Instruction, Learning Processes
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Hui, Yen Ling; Prihadi, Kususanto; Arif, Najiya I.; Yap, Sam X. Y.; Chua, Melissa J.; Chen, John; Chong, Jia C.; Yeow, James L. H. – International Journal of Evaluation and Research in Education, 2019
This study aims to test the hypothesis that classroom engagement mediates the relationship between students' internal locus of control and academic procrastination. As many as 302 students from a private university between 18 to 26 years of age were recruited to respond to Internal-External Locus of control Scale, Classroom Engagement Inventory,…
Descriptors: Locus of Control, Study Habits, Private Colleges, Computer Software
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Okoampa-Larbi, Richard; Adu-Kumi, John; Tettey, Caroline; Amissah, Godfred; Aboagye, Solomon – International Journal of Education and Development using Information and Communication Technology, 2021
In this technological era of the Internet becoming the backbone for achieving educational success, the development of social media is an asset for the academic development of students in tertiary institutions. The logit model was used to determine the dynamics of social media on the academic performance of students in private tertiary institutions…
Descriptors: Social Media, Academic Achievement, Higher Education, Computer Software
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Göçen Kabaran, Güler; Duman, Bilal – International Journal of Technology in Education, 2021
The general aim of this study is to determine the effects of teaching method based on digital storytelling on students' learning and study strategies. In this study, as one of the true experimental models, pre-test/post-test control group experimental design was used via detachedly selected experiment and control groups. In the study, a teaching…
Descriptors: Story Telling, Learning Strategies, Comparative Analysis, Pretests Posttests
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Dawar, Deepak – Information Systems Education Journal, 2022
Learning computer programming is a challenging task for most beginners. Demotivation and learned helplessness are pretty common. A novel instructional technique that leverages the value-expectancy motivational model of student learning was conceptualized by the author to counter the lack of motivation in the introductory class. The result was a…
Descriptors: Teaching Methods, Introductory Courses, Computer Science Education, Assignments
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Khan, Bibi Rabia – Journal of Mathematics Education at Teachers College, 2020
Improving students' performance in Calculus is a challenge for many colleges and universities. One way of improving students' performance as well as their metacognition and study skills is to provide opportunities for them to receive support outside of the lecture. A modified version of the Motivated Strategies for Learning Questionnaire (MSLQ)…
Descriptors: Metacognition, Mathematics Instruction, Homework, Calculus
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Khoza, Simon Bheki. – International Journal of Higher Education, 2020
Exploring students' habits of using WhatsApp is important: such introspection helps students to reflect, and improve their actions. Habits are subconscious thoughts that drive students, for example, to use WhatsApp, even without concentrating on their learning actions. Habits are formed after students have repeated the same action. Twelve…
Descriptors: Computer Software, Social Media, Learning Processes, Undergraduate Students
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Özer, Seda; Akay, Cenk – Journal on School Educational Technology, 2023
Mobile Assisted Language Learning (MALL) is an innovative approach to language learning that utilizes mobile devices, such as smartphones and tablets, to support language learning. MALL has become increasingly popular in recent years due to the widespread availability of mobile devices and the flexibility they offer for language learning. The aim…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Handheld Devices
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Lin, Jian-Wei – Journal of Computer Assisted Learning, 2019
Team-based learning (TBL) stresses applying knowledge rather than absorbing knowledge in class; studies have investigated the use of TBL and its merits in different teaching courses (e.g., medical science and business). TBL is most effective when students learn autonomously before class. However, the ability of autonomous learning is highly…
Descriptors: Teamwork, Metacognition, Learning Strategies, Knowledge Level
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Bhatt, Ibrar; MacKenzie, Alison – Teaching in Higher Education, 2019
In this paper we examine digital literacy and explicate how it relates to the philosophical study of ignorance. Using data from a study which explores the knowledge producing work of undergraduate students as they wrote course assignments, we argue that a social practice approach to digital literacy can help explain how epistemologies of ignorance…
Descriptors: Technological Literacy, Undergraduate Students, Epistemology, Knowledge Level
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van Halema, Nicolette; van Klaveren, Chris; Drachsler, Hendrik; Schmitz, Marcel; Cornelisz, Ilja – Frontline Learning Research, 2020
For decades, self-report instruments -- which rely heavily on students' perceptions and beliefs -- have been the dominant way of measuring motivation and strategy use. Event-based measures based on online trace data arguably has the potential to remove analytical restrictions of self-report measures. The purpose of this study is therefore to…
Descriptors: Independent Study, Learning Motivation, Learning Strategies, Student Behavior
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Haghighi, Hamzeh; Jafarigohar, Manoochehr; Khoshsima, Hooshang; Vahdany, Fereidoon – Computer Assisted Language Learning, 2019
With the emergence of innovative mobile-based tools, new opportunities have been made to enhance the quality of language learning. Keeping this in mind, the current study aimed to investigate the impact of a flipped classroom on enhancing EFL learners' pragmatic competence. To this end, 60 EFL learners from two universities in Iran were assigned…
Descriptors: Computer Assisted Instruction, English (Second Language), Second Language Learning, Second Language Instruction
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Pani, John R.; Chariker, Julia H.; Naaz, Farah; Mattingly, William; Roberts, Joshua; Sephton, Sandra E. – Advances in Health Sciences Education, 2014
Instruction of neuroanatomy depends on graphical representation and extended self-study. As a consequence, computer-based learning environments that incorporate interactive graphics should facilitate instruction in this area. The present study evaluated such a system in the undergraduate neuroscience classroom. The system used the method of…
Descriptors: Neurology, Anatomy, Computer Graphics, Computer Assisted Instruction
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Prescott, Lynda – Open Learning, 2016
For students new to higher education, the task of developing their academic writing skills, and particularly the principles and practices of source-referencing, can be daunting. Although institutions and teachers can and do provide positive guidance on this score, all too often students veer into inadvertent plagiarism through lack of confidence…
Descriptors: Foreign Countries, College Students, Open Universities, Writing Instruction
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