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Baker-Doyle, Kira J.; Hunt, Michiko; Whitfield, Latricia C. – International Journal of Information and Learning Technology, 2018
Purpose: Connected learning is a framework of learning principles that centers on fostering educational equity through leveraging social technologies and networking practices to connect students with opportunities, people and resources in communities within and beyond their classroom walls (Ito et al., 2013). The framework has been adopted and…
Descriptors: Teacher Education Programs, Social Influences, Context Effect, Reflection
Hancock, Dale; Hare, Nicole; Denny, Paul; Denyer, Gareth – Biochemistry and Molecular Biology Education, 2018
Disciplines such as Biochemistry and Molecular Biology, which involve concepts not included in the high-school curriculum, are very challenging for many first year university students. These subjects are particularly difficult for students accustomed to surface learning strategies involving memorization and recall of facts, as a deeper…
Descriptors: Science Instruction, Large Group Instruction, Learner Engagement, Comparative Analysis
Kurt, Serhat – American Journal of Distance Education, 2019
Though initially proposed as a means of overcoming common barriers to higher education, MOOCs often exacerbate the very issues of accessibility and exclusivity that they were designed to avoid. Students from developing countries in particular face considerable obstacles that hinder or outright prevent their enrollment in and completion of MOOCs.…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
Ben Clarke; Christian T. Doabler; Keith Smolkowski; Jessica Turtura; Derek Kosty; Evangeline Kurtz-Nelson; Hank Fien; Scott K. Baker – Exceptional Children, 2019
This study examined the role of initial skill in moderating intervention effects of a 50-lesson mathematics intervention program, ROOTS, for at-risk kindergarten students focused on developing whole-number concepts and skills. The study utilized a randomized block design with at-risk students (n = 592) within classrooms (n = 60) randomly assigned…
Descriptors: Correlation, Mathematics Skills, Mathematics Instruction, Kindergarten
Gay, Glenda H. E.; Betts, Kristen – Online Learning, 2020
Student engagement and group work are critical to developing competencies, deeper learning, and attributes that align with 21st-century skills. In an increasingly competitive and dynamic workforce, the ability for employees to engage in collaborative workgroups is essential. A new capstone group-work assignment using Online Human Touch (OHT)…
Descriptors: Learner Engagement, Academic Achievement, School Holding Power, Class Size
Carloye, Lisa – Journal of College Science Teaching, 2017
In this article, the author introduces the usage of case studies to be an excellent method for engaging students through stories. The author notes she developed a series of mini-case studies that can be implemented, with a little advance preparation, within a 10- to 15-minute window during lecture. What makes them "mini" case studies?…
Descriptors: Large Group Instruction, Case Studies, Active Learning, Lecture Method
Shigeta, Katsusuke; Koizumi, Mitsuyo; Sakai, Hiroyuki; Tsuji, Yasuhiro; Inaba, Rieko; Hiraoka, Naoshi – Open Praxis, 2017
Awareness about Open Educational Resources (OERs) and the purposes for offering and adopting OERs and Massive Open Online Courses (MOOCs) were analyzed using a detailed survey of higher education across Japan, which was conducted in 2015. A comparison with a similar study conducted in 2013 revealed that awareness of OERs has increased slightly and…
Descriptors: Resource Units, Shared Resources and Services, Large Group Instruction, Online Courses
McDonald, J.; Bird, R. J.; Zouaq, A.; Moskal, A. C. M. – Journal of Computer Assisted Learning, 2017
In large class settings, individualized student-teacher interaction is difficult. However, teaching interactions (e.g., formative feedback) are central to encouraging deep approaches to learning. While there has been progress in automatic short-answer grading, analysing student responses to support formative feedback at scale is arguably some way…
Descriptors: College Students, Health Sciences, Teacher Student Relationship, Large Group Instruction
Amigud, Alexander; Arnedo-Moreno, Joan; Daradoumis, Thanasis; Guerrero-Roldan, Ana-Elena – International Review of Research in Open and Distributed Learning, 2017
This paper presents the results of integrating learning analytics into the assessment process to enhance academic integrity in the e-learning environment. The goal of this research is to evaluate the computational-based approach to academic integrity. The machine-learning based framework learns students' patterns of language use from data,…
Descriptors: Data Collection, Data Analysis, Integrity, Electronic Learning
Egloffstein, Marc; Ifenthaler, Dirk – TechTrends: Linking Research and Practice to Improve Learning, 2017
Massive Open Online Courses (MOOCs) can be considered a rather novel method in digital workplace learning, and there is as yet little empirical evidence on the acceptance and effectiveness of MOOCs in professional learning. In addition to existing findings on employers' attitudes, this study seeks to investigate the employee perspective towards…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
Lynch, Collin F. – Theory and Research in Education, 2017
Big Data can radically transform education by enabling personalized learning, deep student modeling, and true longitudinal studies that compare changes across classrooms, regions, and years. With these promises, however, come risks to individual privacy and educational validity, along with deep policy and ethical issues. Education is largely a…
Descriptors: Data Analysis, Data Collection, Privacy, Evaluation Methods
Hill, Cheryl A.; Britson, Carol; Elbatarny, Hisham; Heimgartner, Candi; Waters, John R.; Wayne, Chad M. – HAPS Educator, 2017
As demand for Anatomy and Physiology education increases faster than construction projects and budgets, instructors are finding themselves in front of ever-growing classroom sizes. Teaching large classes presents a number of challenges, including planning the courses, navigating technical equipment, handling exams and student accommodations, or…
Descriptors: Physiology, Anatomy, Science Instruction, Large Group Instruction
Alario-Hoyos, C.; Muñoz-Merino, P. J.; Pérez-Sanagustín, M.; Delgado Kloos, C.; Parada Gelvez, H. A. – Journal of Computer Assisted Learning, 2016
The role of social tools in massive open online courses (MOOCs) is essential as they connect participants. Of all the participants in an MOOC, top contributors are the ones who more actively contribute via social tools. This article analyses and reports empirical data from five different social tools pertaining to an actual MOOC to characterize…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
Pardos, Zachary A.; Whyte, Anthony; Kao, Kevin – Technology, Knowledge and Learning, 2016
In this paper, we address issues of transparency, modularity, and privacy with the introduction of an open source, web-based data repository and analysis tool tailored to the Massive Open Online Course community. The tool integrates data request/authorization and distribution workflow features as well as provides a simple analytics module upload…
Descriptors: Online Courses, Large Group Instruction, Technology Uses in Education, Educational Technology
Tseng, Shu-Fen; Tsao, Yen-Wei; Yu, Liang-Chih; Chan, Chien-Lung; Lai, K. Robert – Research and Practice in Technology Enhanced Learning, 2016
Massive open online courses (MOOCs) have recently gained worldwide attention from educational institutes. MOOCs provide a new option for learning, yet measurable learning benefits of MOOCs still need to be investigated. Collecting data of three MOOCs at Yuan Ze University (YZU), this paper intended to classify learning behaviors among 1489…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Student Behavior