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Fiedler, Sebastian H. D.; Väljataga, Terje – Interactive Learning Environments, 2020
This paper argues for conceptualizing the notion of personal learning environments in higher education from an explicit adult education perspective that emphasizes the realization, re-instrumentation, and integration of learning activity in the wider context of adult life. It discusses and re-interprets an existing proposal for modeling "the…
Descriptors: Individualized Instruction, Adult Students, Adult Education, Higher Education
Jerry Lee Putt – ProQuest LLC, 2022
COVID-19 disrupted schools across the country. Students and teachers were asked to work together virtually. During this virtual experience the students at Frederick County Middle School struggled to complete learning activities independently. An improvement science approach was used to investigate this problem. Through the improvement science…
Descriptors: Middle School Students, Distance Education, COVID-19, Pandemics
Kambouri-Danos, Maria; Ravanis, Konstantinos; Jameau, Alain; Boilevin, Jean-Marie – Early Childhood Education Journal, 2019
Children's everyday activities enable them to learn some science even before entering preschool education and children bring these ideas with them when entering education settings. Some of these ideas, or else mental representations, may not be compatible with what is generally accepted by the scientific community. This paper presents the results…
Descriptors: Science Instruction, Preschool Education, Learning Processes, Water
Wakjira, Abdalganiy; Bhattacharya, Samit – International Journal of Web-Based Learning and Teaching Technologies, 2021
Students in the online learning who have other responsibilities of life such as work and family face attrition. Constructing a model of engagement with smallest granule of time has not been implemented widely, but implementing it is important as it allows to uncover more subtle patterns. We built a student engagement prediction model using 9…
Descriptors: Learner Engagement, Online Courses, Prediction, Models
Guo, Zhang; Barmaki, Roghayeh – Australasian Journal of Educational Technology, 2020
Automatic assessment and evaluation of team performance during collaborative tasks is key to the research on learning analytics and computer-supported cooperative work. There is growing interest in the use of gaze-oriented cues for evaluating the collaboration and cooperativeness of teams. However, collecting gaze data using eye-trackers is not…
Descriptors: Teamwork, Cooperative Learning, Comparative Analysis, Computer Assisted Instruction
Green, Katherine; Robbins, Sandra; Varga, Mary; Head, Cynthia; Davis, Erin; Houze, Whitney – International Journal of Disability, Development and Education, 2021
In the United States, preschool teachers report behaviour management as one of the greatest challenges when educating young children. Teachers consistently feel unprepared to meet the needs of children with persistent challenging behaviours. Unfortunately, the issue affects more than just preschool teachers. Behaviour issues that emerge in…
Descriptors: Disadvantaged Youth, Preschool Education, Behavior Problems, Preschool Teachers
Li, Yuntao; Fu, Chengzhen; Zhang, Yan – International Educational Data Mining Society, 2017
Since MOOC is suffering high dropout rate, researchers try to explore the reasons and mitigate it. Focusing on this task, we employ a composite model to infer behaviors of learners in the coming weeks based on his/her history log of learning activities, including interaction with video lectures, participation in discussion forum, and performance…
Descriptors: Online Courses, Mass Instruction, Student Behavior, Learning Activities
Wan, Han; Liu, Kangxu; Yu, Qiaoye; Gao, Xiaopeng – IEEE Transactions on Learning Technologies, 2019
Most educational institutions adopted the hybrid teaching mode through learning management systems. The logging data/clickstream could describe learners' online behavior. Many researchers have used them to predict students' performance, which has led to a diverse set of findings, but how to use insights from captured data to enhance learning…
Descriptors: Educational Practices, Learner Engagement, Identification, Study Habits
Young, Kimberly J.; Ramsay, Samantha A.; Holyoke, Laura B. – Journal of Extension, 2016
Understanding the process by which adolescents learn about nutrition is necessary for developing tailored education that leads to sustainable behavior change. Teens aged 15-17 participating in an obesity prevention program were interviewed. From the data, three themes emerged and informed development of an adolescent nutrition learning model. The…
Descriptors: Adolescents, Nutrition Instruction, Models, Behavior Change
Govan, Michelle – Higher Education Pedagogies, 2016
The field of digital forensics requires a multidisciplinary understanding of a range of diverse subjects, but is interdisciplinary (in using principles, techniques and theories from other disciplines) encompassing both computer and forensic science. This requires that practitioners have a deep technical knowledge and understanding, but that they…
Descriptors: Peer Teaching, Criminology, Crime, Electronic Learning
Colliver, Yeshe; Arguel, Amaël – Early Child Development and Care, 2018
Play is traditionally considered the foundation of learning in the early years. Because play is characterized by free choice, it can be difficult for adults to ensure all learning is useful for children. The intervention described here took a novel approach to this problematic. It exposed 17 four-year-olds to different adult demonstrations to see…
Descriptors: Outcomes of Education, Role Models, Play, Intervention
Treacy, Páraic; O'Donoghue, John – International Journal of Mathematical Education in Science and Technology, 2014
Attempts at integrating mathematics and science have been made previously but no definitive, widely adopted teaching model has been developed to date. Research suggests that hands-on, practical, student-centred tasks should form a central element when designing an effective model for the integration of mathematics and science. Aided by this…
Descriptors: Classroom Techniques, Models, Integrated Curriculum, Mathematics Curriculum
Stieff, Mike; Scopelitis, Stephanie; Lira, Matthew E.; DeSutter, Dane – Science Education, 2016
Representational competence is a primary contributor to student learning in science, technology, engineering, and math (STEM) disciplines and an optimal target for instruction at all educational levels. We describe the design and implementation of a learning activity that uses concrete models to improve students' representational competence and…
Descriptors: Undergraduate Students, College Science, Science Education, Chemistry
Ferholt, Beth; Rainio, Anna Pauliina – Early Years: An International Journal of Research and Development, 2016
Ambivalence is a relatively little advanced concept for studying young people's engagement in education. We present a case study in which a teacher of a kindergarten-first-grade classroom works within an activity called a "playworld" to engage a child who had been excluded from certain classroom practices, after having been perceived by…
Descriptors: Early Childhood Education, Student Motivation, Motivation Techniques, Teacher Student Relationship
Lee, Walter C., Jr. – ProQuest LLC, 2015
In response to the student retention and diversity issues that have been persistent in undergraduate engineering education, many colleges have developed Engineering Student Support Centers (ESSCs) such as Minority Engineering Programs (MEPs) and Women in Engineering Programs (WEPs). ESSCs provide underrepresented students with co-curricular…
Descriptors: Engineering Education, Disproportionate Representation, Academic Support Services, Intervention