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Schwarzenberg, Pablo; Navon, Jaime; Pérez-Sanagustín, Mar – Journal of Computing in Higher Education, 2020
The flipped classroom gives students the flexibility to organize their learning, while teachers can monitor their progress analyzing their online activity. In massive courses where there are a variety of activities, automated analysis techniques are required in order to process the large volume of information that is generated, to help teachers…
Descriptors: Models, Blended Learning, Teaching Methods, Electronic Learning
Hosseini, Roya; Akhuseyinoglu, Kamil; Brusilovsky, Peter; Malmi, Lauri; Pollari-Malmi, Kerttu; Schunn, Christian; Sirkiä, Teemu – International Journal of Artificial Intelligence in Education, 2020
This research is focused on how to support students' acquisition of program construction skills through worked examples. Although examples have been consistently proven to be valuable for student's learning, the learning technology for computer science education lacks program construction examples with interactive elements that could engage…
Descriptors: Programming, Computer Science Education, Problem Solving, Learner Engagement
Menke, Erik J. – Journal of Chemical Education, 2020
UC Merced's upper-division analytical chemistry course has been modified to include a series of Jupyter notebooks intended to introduce chemistry students to the Python computer language. These Jupyter notebooks were designed to cover a wide variety of topics common to quantitative and instrumental analysis. Assuming no prior programming…
Descriptors: Science Instruction, Chemistry, College Science, Undergraduate Study
Koc-Januchta, Marta M.; Höffler, Tim N.; Prechtl, Helmut; Leutner, Detlev – Educational Technology Research and Development, 2020
The aim of this study was to investigate the role of visual/verbal cognitive style and interactivity level in dynamic and non-dynamic multimedia learning environments. A group of 235 biology students learned about photosynthesis either from a computer-based animation or a series of static pictures with spoken explanatory text. Participants were…
Descriptors: Cognitive Style, Interaction, Visualization, Multimedia Instruction
Sikora, Arthur; Irby, Stefan M.; Hall, Bonnie L.; Mills, Stephen A.; Koeppe, Julia R.; Pikaart, Michael J.; Wilner, Samantha E.; Craig, Paul A.; Roberts, Rebecca – Journal of Chemical Education, 2020
Campus shutdowns during the SARS-CoV-2 pandemic posed unique challenges to faculty and students engaged in laboratory courses. Formerly hands-on experiments had to be quickly pivoted to emergency remote learning. While some resources existed prior to this period, many currently available online modules and/or simulations focus on a single…
Descriptors: COVID-19, Pandemics, Distance Education, School Closing
Jameson, Greg; Brüschweiler, Rafael – Journal of Chemical Education, 2020
The Boltzmann distribution lies at the heart of essentially all of statistical thermodynamics. In most textbooks, this distribution is introduced either "ad hoc" or it is mathematically derived by constrained entropy optimization using the method of Lagrange multipliers. Unfortunately, when students enroll in a statistical thermodynamics…
Descriptors: Computer Simulation, Science Instruction, Thermodynamics, Statistics
Gandra, Ana Paula; Aires, Ana Paula; Catarino, Paula – International Journal for Technology in Mathematics Education, 2020
This paper reports a study developed with twenty-six students from a 7th-grade class and was carried in the context of teaching experience in the school year of 2016/2017, using an applet, Equation Buster, on the learning of solving single-variable linear equations. The research objectives are to assess how this applet can help students to see the…
Descriptors: Mathematics Instruction, Teaching Methods, Generalization, Grade 7
Bourekkache, Samir; Kazar, Okba – International Journal of Information and Communication Technology Education, 2020
Mobile learning is considered a new phase of e-learning which gives the opportunity to learn more effectively and efficiently. In addition, the use of mobile devices for leaning is more sophisticated and more useful. The m-learning has become available anywhere and anytime for all students and professors. Moreover, the features of these mobile…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
Martin, Ines A. – Language Learning & Technology, 2020
The goal of this study was to explore how distance language learners' pronunciation skills develop with and without targeted pronunciation training during their first semester of university language instruction. To this end, a new computer-assisted method of pronunciation instruction was designed, and its effectiveness, as well as learners'…
Descriptors: Pronunciation, Distance Education, Second Language Instruction, Teaching Methods
Dassel, Kara; Butler, Jorie; Telonidis, Jacqueline; Edelman, Linda – Educational Gerontology, 2020
We developed online training modules focused on Alzheimer's disease and related dementias (ADRD) designed to improve best care practices in long-term care settings, such as nursing homes, as a part of a federal grant focused on improving geriatric education for interprofessional (collaboration among different professions providing patient care)…
Descriptors: Alzheimers Disease, Dementia, Health Services, Best Practices
Otchie, Wilson O.; Pedaste, Margus – European Journal of Educational Research, 2020
In the last decade, learning from computer-supported collaborative technologies has been combined with social media (SM) and this has gotten a lot of attention. Also, there is a growing body of literature that suggests that SM is gaining a lot of attention because it has the perceived pedagogical affordances that could be used as a potential tool…
Descriptors: Social Media, Electronic Learning, High School Students, Literature Reviews
Janssen, Jeroen; Kirschner, Paul A. – Educational Technology Research and Development, 2020
Research on computer-supported collaborative learning (CSCL) has traditionally investigated how student-, group-, task-, and technological characteristics affect the processes and outcomes of collaboration. On the other hand, cognitive load theory has traditionally been used to study individual learning processes and to investigate instructional…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Cognitive Ability, Teaching Methods
Kukulska-Hulme, Agnes; Lee, Helen – Research-publishing.net, 2020
Learning a second language is a challenging endeavour which requires various degrees of support. The proliferation of smart technologies includes chatbots and conversational agents which have the potential to 'assist' language learners (Kukulska-Hulme, 2019). However, whilst a growing number of researchers and developers are working on such…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Second Language Instruction, Second Language Learning
Rebekah Agar – ProQuest LLC, 2020
Prior research has shown that adult learners who are non-traditional (NT) college students come to college with different needs, desires, and goals than traditional college students. The problem is that community college educators need to better understand the needs of the changing population of the student body to equitably and effectively serve…
Descriptors: Nontraditional Students, Student Experience, Community College Students, Independent Study
Ahmad Rashad Slade – ProQuest LLC, 2020
Credit recovery programs utilize an asynchronous online learning platform that is designed for students who are repeating a course they failed in a traditional classroom setting. Although there is a limited body of literature on credit recovery programs, credit recovery is increasingly being used in districts across the country to meet the needs…
Descriptors: Credits, African American Students, Student Attitudes, Barriers

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