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J. Pablo Rosas Baldazo; Yasmín Á. Ríos-Solís; Romeo Sánchez Nigenda – Interactive Learning Environments, 2024
Learning path generation involves the computation of learning trajectories to personalize academic instruction to prevent school problems. The Educational Planning Problem (EPP) considers generating personalized learning paths by scheduling activities that satisfy expected grades while minimizing plans makespan. In this work, we propose two…
Descriptors: Study Habits, Scheduling, Time Management, Computer Software
Bin Liu; Yuanyuan Liao – Education and Information Technologies, 2025
The rapid advancement of generative AI technologies is increasingly accompanied by their broader application across various sectors, particularly within creative industries. In this study, IBM Watson BEAT software, based on generative AI technology, was tested as an educational tool in the process of teaching music composition theory to flute…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Educational Technology
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
Christina Elizabeth Pigg – ProQuest LLC, 2024
The purpose of this ex post facto quantitative study was to examine the correlation between the scores of preservice teachers on 240 Tutoring STR practice tests and their scores on the actual STR exam and to explore the extent to which test preparation programs predicted performance on certification exams. In addition, this study compared the…
Descriptors: Test Preparation, Preservice Teachers, Teacher Certification, Licensing Examinations (Professions)
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
Tory Thorkelson – MEXTESOL Journal, 2024
The COVID-19 pandemic forced institutions, faculty, and students to use emergency remote teaching (ERT) in the early stages of 2020. All educational levels, as well as schools and universities around the world, were affected. Although ERT and online education are not necessarily synonymous (see Thorkelson, 2021), most classes were delivered…
Descriptors: Pandemics, COVID-19, Educational Needs, Educational Change
van den Broek, Gesa S. E.; van Gog, Tamara; Jansen, Evelien; Pleijsant, Mirja; Kester, Liesbeth – Journal of Educational Psychology, 2021
Practicing retrieval of vocabulary items from memory (e.g., with flashcard software or practice tests) is an effective study strategy to remember vocabulary over time. Retrieval practice is often implemented in digital learning environments that increasingly include multimedia (i.e., combining textual and pictorial information). However, it is…
Descriptors: Multimedia Instruction, Multimedia Materials, Vocabulary Development, Information Retrieval
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
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
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
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
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
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
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
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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