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Ellis, Robert A.; Han, Feifei – Journal of Educational Multimedia and Hypermedia, 2018
Integrating an online component into a university course is typically done to improve the student experience. However the intent of the teacher's blended design may not always align to the students' experience of it. Their experience may be mediated by a number of factors including student perceptions of the online environment and their approach…
Descriptors: Online Courses, Educational Environment, Blended Learning, Student Experience
Liu, Yujuan; Raker, Jeffrey R.; Lewis, Jennifer E. – Chemistry Education Research and Practice, 2018
Academic Motivation Scale-Chemistry (AMS-Chemistry), an instrument based on the self-determination theory, was used to evaluate students' motivation in two organic chemistry courses, where one course was primarily lecture-based and the other implemented flipped classroom and peer-led team learning (Flip-PLTL) pedagogies. Descriptive statistics…
Descriptors: Student Motivation, Organic Chemistry, Blended Learning, Learning Motivation
Alsancak Sirakaya, Didem; Ozdemir, Selçuk – Malaysian Online Journal of Educational Technology, 2018
This study examined the effect of a flipped classroom model on students' academic achievement, self-directed learning readiness and motivation. The participants of this study were a total of 66 students who took the "Scientific Research Methods" course and were studying in two different classes in the Faculty of Education at Ahi Evran…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Homework
Gaševic, Dragan; Jovanovic, Jelena; Pardo, Abelardo; Dawson, Shane – Journal of Learning Analytics, 2017
The use of analytic methods for extracting learning strategies from trace data has attracted considerable attention in the literature. However, there is a paucity of research examining any association between learning strategies extracted from trace data and responses to well-established self-report instruments and performance scores. This paper…
Descriptors: Foreign Countries, Undergraduate Students, Engineering Education, Educational Research
Yu, Wei-Chieh Wayne; Lin, Chunfu Charlie; Ho, Mei-Hsin; Wang, Jenny – Turkish Online Journal of Educational Technology - TOJET, 2015
The impact of particular learning environments and self-regulation could be a beneficial area for research focus. More specifically, there has not been sufficient attention given to the role played by disposition or "will" in facilitating self-regulation to be successful. A student can possess the skills or ability to think critically…
Descriptors: Problem Based Learning, Critical Thinking, Attitude Change, Pretests Posttests
Tempelaar, Dirk T.; Rienties, Bart; Nguyen, Quan – IEEE Transactions on Learning Technologies, 2017
Studies in the field of learning analytics (LA) have shown students' demographics and learning management system (LMS) data to be effective identifiers of "at risk" performance. However, insights generated by these predictive models may not be suitable for pedagogically informed interventions due to the inability to explain why students…
Descriptors: Student Behavior, Integrated Learning Systems, Personality, Educational Research
Evaluating the Effect of Arabic Engineering Students' Learning Styles in Blended Programming Courses
Al-Azawei, Ahmed; Al-Bermani, Ali; Lundqvist, Karsten – Journal of Information Technology Education: Research, 2016
This study investigated the complex relationship among learning styles, gender, perceived satisfaction, and academic performance across four programming courses supported by an e-learning platform. A total of 219 undergraduate students from a public Iraqi university who recently experienced e-learning voluntarily took place in the study. The…
Descriptors: Cognitive Style, Programming, Foreign Countries, Undergraduate Students
Ellis, Robert A. – Active Learning in Higher Education, 2016
There is variation in the university student experience of learning. Prior research has shown that factors that shape this include student characteristics, the learning context, student perceptions of that context and approaches to learning and their learning outcomes. In blended contexts, there is a need to identify variables which can explain…
Descriptors: Student Experience, Educational Environment, Inquiry, Higher Education
Kakish, Kamal M.; Pollacia, Lissa; Heinz, Adrian – International Journal for the Scholarship of Teaching and Learning, 2012
This paper investigates the performance of students enrolled in traditional versus hybrid Elementary Statistics courses at Georgia Gwinnett College (GGC). For this study, we collected and analyzed student performance data for the course goals over the spring semester of 2011. GGC is unique as it is an open access undergraduate institution, which…
Descriptors: Conventional Instruction, Blended Learning, Academic Achievement, Statistics
Ellis, Robert A. – Australasian Journal of Educational Technology, 2014
Evaluating the quality of inquiry using technology in blended contexts at university is a complex phenomenon as there are many variables which could account for qualitative variation in the experience. This study looks at reasons for qualitative variation in the university student experience of inquiry using technologies. It considers approaches…
Descriptors: Inquiry, Blended Learning, College Students, Educational Quality
Imhof, Margarete; Spaeth-Hilbert, Tatjana – International Journal of Higher Education, 2013
Based on a cognitive motivational process model of learning, the impact of studying behavior on learning outcome is investigated. First-year students (N = 488) participated in the study. Two research questions were addressed: (1) Can cognitive-motivational variables and objective study behavior predict individual learning? (2) Which factors drive…
Descriptors: Student Motivation, Role, Self Concept, At Risk Students
Maddox, Pamela Rena – ProQuest LLC, 2013
Every educator's quest is to help students learn in the environment that will allow them to obtain and retain the information presented to them. In the new age of technology, more students are able to choose the environment in which they learn. This study is a quantitative comparative study of the academic performance between online and…
Descriptors: Comparative Analysis, High School Students, English Instruction, Language Arts