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Gurung, Regan A. R.; Stoa, Rosalyn – Teaching of Psychology, 2020
In this study, we assessed instructor and student attitudes and knowledge toward research methods (RM). Instructors (N = 62) answered questions about course format, topic importance, and resources. Students (N = 166) of some of those instructors answered questions regarding attitudes toward research. Five major factors organize topics that…
Descriptors: Teacher Attitudes, Student Attitudes, Research Methodology, Knowledge Level
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Deng, Liping – Australasian Journal of Educational Technology, 2020
This study examines university students' multitasking with computers and mobile phones in an authentic self-study context, with the primary focus being on off-task multitasking and interruption as precursor to multitasking. The study drew on interviews, observation, and video-stimulated recall to reveal the triggers for and processes of…
Descriptors: Laptop Computers, Telecommunications, Handheld Devices, Independent Study
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Sense, Florian; van der Velde, Maarten; van Rijn, Hedderik – Journal of Learning Analytics, 2021
Modern educational technology has the potential to support students to use their study time more effectively. Learning analytics can indicate relevant individual differences between learners, which adaptive learning systems can use to tailor the learning experience to individual learners. For fact learning, cognitive models of human memory are…
Descriptors: Predictor Variables, Undergraduate Students, Learning Analytics, Cognitive Psychology
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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
Hero, Jesson L.; Dela Cruz, Aaron C.; Paz, Rosalia M.; Caparas, Ma. Editha R. – Online Submission, 2021
One of the crucial developments in the education paradigm is the rapid growth of Information and Communications Technology (ICT). As a result, most private schools are now at the height of infusing the E-learning system and are seen as one of their advances in the learning management system. Hence, this study tries to look into a way to examine…
Descriptors: Technology Integration, Electronic Learning, Distance Education, Integrated Learning Systems
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Ajjawi, Rola; Boud, David; Zacharias, Nadine; Dracup, Mary; Bennett, Sue – Student Success, 2019
Ensuring student success has long been on the research agenda in higher education. In this study, we seek to understand if the changes students make in light of academic failure are consistent with this literature. Little is known about students who fail but subsequently persist in their studies. Through an online survey with students who had…
Descriptors: College Students, Academic Failure, Student Reaction, Student Adjustment
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Buzza, Dawn; Fitzgerald, Carolyn; Avitzur, Yoad – McGill Journal of Education, 2022
This study examines how one teacher supported low-achieving students' self-regulated learning (SRL) in the context of a secondary mathematics class. The teacher's scaffolding provided students with multiple opportunities to use feedback and adapt learning and study strategies. Data compared pre- and post-measures of metacognitive skills,…
Descriptors: Low Achievement, Secondary School Students, Secondary School Mathematics, Mathematics Instruction
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Marshall, Stephen J. – Higher Education Research and Development, 2018
Internationally, first-year student experience surveys suggest that modern students are investing increasingly less time in their study at university, raising concerns about the impact this may have on their success. This paper describes a case study exploring student workload at a New Zealand university interested in understanding how student…
Descriptors: Foreign Countries, College Freshmen, Time Management, Decision Making
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Eva, Kevin W.; Brady, Colleen; Pearson, Marion; Seto, Katherine – Advances in Health Sciences Education, 2018
Information is generally more memorable after it is studied and tested than when it is only studied. One must be cautious to use this phenomenon strategically, however, due to uncertainty about whether testing improves memorability for only tested material, facilitates learning of related non-tested content, or inhibits memory of non-tested…
Descriptors: Testing, Educational Benefits, Memory, Study Habits
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Ossai, Moses Chukwugi; Ethe, Nathaniel; Edougha, Dennis E. – Education Quarterly Reviews, 2020
The research focused on development, validation and standardization of a diagnostic instrument called Tertiary Examination Behaviour Inventory (TEBI) for determining the tendency of students in tertiary institutions to participate in academic cheating. Anchored on the Modified Theory of Planned Behaviour (MTPB) and Item Response Theory (IRT), the…
Descriptors: Cheating, Validity, Diagnostic Tests, College Students
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Yocarini, Iris E.; Bouwmeester, Samantha; Smeets, Guus; Arends, Lidia R. – Assessment & Evaluation in Higher Education, 2020
In this study, the consequences of allowing course compensation in a higher education academic dismissal policy are evaluated by examining performance on a second-year follow-up (i.e. sequel) course that builds on material from a first-year precursor course. Up to now, differences in the consequences of compensation on student performance across…
Descriptors: Higher Education, Academic Achievement, Undergraduate Students, College Curriculum
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Tsubaki, Michiko; Ogawara, Wataru; Tanaka, Kenta – International Electronic Journal of Mathematics Education, 2020
This study proposes and examines an analytical method with the aim of improving the quality of education and learning by situating the answers to full descriptive questions in probability and statistics to make variables of learners' comprehension of learned content as answer characteristics, based on actual student mistakes. First, we proposed…
Descriptors: Probability, Statistics, Comprehension, Learning Strategies
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Yao, Mengfan; Sahebi, Shaghayegh; Behnagh, Reza Feyzi – International Educational Data Mining Society, 2020
Student procrastination, as the voluntary delay of intended work despite expecting to be worse off for the delay, is an important factor with potentially negative consequences in student well-being and learning. In online educational settings such as Massive Open Online Courses (MOOCs), the effect of procrastination is considered to be even more…
Descriptors: Large Group Instruction, Online Courses, Student Behavior, Study Habits
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Hwang, Jihyun; Ham, Yeajin – Journal on Mathematics Education, 2021
We investigated how the opportunity to learn (OTL) with different types of mathematics tasks are related to mathematical literacy and the role of perceived control in the relationship between OTL and mathematical literacy. The structural equation modeling was applied to the data of 1,649 Korean students from the PISA 2012 database. OTL with the…
Descriptors: Mathematics Instruction, Mathematics Skills, Thinking Skills, Foreign Countries
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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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