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Xie, Youru; Huang, Yuling; Luo, Wenjing; Bai, Yucheng; Qiu, Yi; Ouyang, Ziru – Journal of Computing in Higher Education, 2023
The interaction between teachers and students is vital for promoting teaching quality. Online learning spaces have various features that can support teacher-student interaction in online learning contexts. In this study, a preliminary model was developed by analyzing the principles underlying the interaction between teachers and students and the…
Descriptors: Design, Teacher Student Relationship, Educational Quality, Online Courses
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Simonova, Ivana; Faltynkova, Ludmila; Kostolanyova, Katerina; Klimszova, Slavomira – Journal of Computing in Higher Education, 2023
During the COVID-19 pandemic, schools at all levels were often closed and online distance instruction (ODI) was applied. The main objective of this research was to discover the main didactic features of online distance instruction; and based on the collected data to define didactic recommendations towards improving the quality of the process. Five…
Descriptors: Teaching Methods, Online Courses, Distance Education, COVID-19
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Van den Beemt, Antoine; Groothuijsen, Suzanne; Ozkan, Leyla; Hendrix, Will – Journal of Computing in Higher Education, 2023
In engineering education laboratories serve as experiential learning aimed at engaging students. The past decades saw an increased use of online laboratories, including virtual and remote labs. Remote labs, providing online interfaces to physical labs, allow students to conduct experiments with real-world equipment anywhere and at any time.…
Descriptors: Distance Education, Engineering Education, College Students, Learner Engagement
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Tabares, Marta S.; Vallejo, Paola; Montoya, Alex; Correa, Daniel – Journal of Computing in Higher Education, 2022
Understanding learners' behavior is the key to the success of any learning process. The more we know about them, the more likely we can personalize learning experiences and provide successful feedback. This paper presents a feedback model implemented in a ubiquitous microlearning environment based on contextual and behavioral information and…
Descriptors: Feedback (Response), Models, Student Behavior, Educational Environment
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Sáiz-Manzanares, María Consuelo; Marticorena-Sánchez, Raúl; Rodríguez-Díez, Juan José; Rodríguez-Arribas, Sandra; Díez-Pastor, José Francisco; Ji, Yi Peng – Journal of Computing in Higher Education, 2021
Monitoring students in Learning Management Systems (LMS) throughout the teaching--learning process has been shown to be a very effective technique for detecting students at risk. Likewise, the teaching style in the LMS conditions, the type of student behaviours on the platform and the learning outcomes. The main objective of this study was to test…
Descriptors: Integrated Learning Systems, Teaching Methods, Instructional Effectiveness, Electronic Learning
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Sumuer, Evren – Journal of Computing in Higher Education, 2021
The purpose of this study was to investigate the effect of mobile phone usage policies on college students' learning. Based on quasi-experimental research, with pretest-posttest nonequivalent group design, two pre-existing groups were randomly assigned treatment conditions, namely the removal of students' mobile phones (Restricted Phone Access),…
Descriptors: Telecommunications, Handheld Devices, Technology Uses in Education, College Students
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Yoon, Meehyun; Hill, Janette; Kim, Dongho – Journal of Computing in Higher Education, 2021
The flipped classroom model has gained prominence as advances in technology afford increasing opportunities for ubiquitous access to a variety of online resources. Despite the benefit of the flipped classroom model, flipped classrooms are not equally advantageous to all students due to its self-regulated nature. To address the issues in flipped…
Descriptors: Metacognition, Teaching Methods, Flipped Classroom, Learning Strategies
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Tsai, Yea-Ru – Journal of Computing in Higher Education, 2021
This exploratory research presents the implementation and evaluation of the effects of integrating corpus consultation with business English writing instruction. The subjects consisted of English as a foreign language (EFL) learners enrolled in two undergraduate business English writing classes. Two groups of EFL students were randomly assigned,…
Descriptors: Computational Linguistics, Business English, Second Language Learning, Second Language Instruction
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Mohsen, Mohammed Ali; Mahdi, Hassan Saleh – Journal of Computing in Higher Education, 2021
Video captioning has been investigated extensively in the Computer-Assisted Language Learning (CALL) literature to aid second language vocabulary acquisition. However, a little is known about how video captioning could foster learners' pronunciation, which is a component of second language vocabulary acquisition proposed by Nation (Nation,…
Descriptors: Vocabulary Development, Second Language Learning, Second Language Instruction, English (Second Language)
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Polly, Drew; Martin, Florence; Guilbaud, T. Christa – Journal of Computing in Higher Education, 2021
Faculty members at Institutions of Higher Education have access to more technology than ever before and are teaching college and university students who use technology constantly in their personal lives. However, barriers still exist that limit how technology can enhance teaching at colleges and universities. This study examined the perspectives…
Descriptors: College Faculty, Educational Technology, Technology Uses in Education, Barriers
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An, Yunjo; Zhu, Meina; Bonk, Curtis J.; Lin, Lin – Journal of Computing in Higher Education, 2021
This study explored instructors' perceptions, interest, self-efficacy, perceived barriers, and support needs regarding gamification in MOOCs. Both quantitative and qualitative data were collected from an online survey and follow-up interviews. Most participants showed interest in gamification and indicated that they would consider utilizing gaming…
Descriptors: Teacher Attitudes, Educational Practices, Teaching Methods, Self Efficacy
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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
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Vate-U-Lan, Poonsri – Journal of Computing in Higher Education, 2020
This paper reports on the findings of a study pertaining to the psychological impact of e-learning on social network sites. The findings have resulted by means of a correlational analysis between attitude towards e-learning on social network sites and satisfaction with life of students experienced with e-learning experiences. It was based on an…
Descriptors: Student Attitudes, Electronic Learning, Social Media, Educational Technology
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Shibukawa, Sachika; Taguchi, Mana – Journal of Computing in Higher Education, 2019
This study aims to find out how students prepared for a flipped classroom and to examine what type of instruction could effectively guide students to do pre-class preparation. We conducted case studies for over two years in a physiology class at a Japanese university. In a survey performed in 2017, students were asked to participate in a…
Descriptors: Case Studies, Physiology, Teaching Methods, Blended Learning
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Guo, Jianpeng – Journal of Computing in Higher Education, 2019
One of the biggest barriers preventing teachers from utilizing the flipped classroom approach in their teaching practices is the lack of a general and practical framework for guiding the design and implementation of flipped classrooms. This leads to the fact that the effectiveness of the flipped classroom approach is unconfirmed. Building on…
Descriptors: Educational Technology, Technology Uses in Education, Homework, Undergraduate Students
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