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Simanjuntak, Risa Rumentha – Teaching English with Technology, 2020
This study investigated the experiences of students in learning specific academic English vocabularies (ESAP) through the use of a mobile dictionary called SPEARA. The mobile app was designed to help the students learn the use of specific words, providing definitions and examples of use from authentic sources. The study aimed at identifying points…
Descriptors: Academic Language, English for Academic Purposes, Second Language Learning, Second Language Instruction
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Shrivastava, Archana – Journal of Teaching in International Business, 2020
This study investigated the impact of a student-centric, output-oriented methodology based on the principles of connectivism for knowledge creation in cross-cultural studies. The task involved selection of native commercial advertisements in which students were expected to work in virtual teams and find cultural differences in their interpretation…
Descriptors: Advertising, Cross Cultural Studies, Business Administration Education, Cultural Differences
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Sartor, Valerie – English Teaching Forum, 2020
Today, more than ever before, English-language educators recognize the importance of using digital resources to teach students in a variety of modalities. Current circumstances have caused schools, universities, institutes, and colleges all over the world to rethink the way they teach and learn. Teaching with technology has suddenly evolved from a…
Descriptors: Teaching Methods, Educational Technology, Second Language Learning, Second Language Instruction
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Porter, J. – Journal of Computer Assisted Learning, 2018
Tablets have much to offer children with learning difficulties, but evidence of their effectiveness to teach academic skills is limited and cannot be easily separated from the quality of the software. This paper analyses data from 3 iterative cycles of designing an app for children with Down syndrome to support their awareness of quantity through…
Descriptors: Down Syndrome, Computer Software, Learning Problems, Handheld Devices
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Ercikan, Kadriye; Asil, Mustafa; Grover, Raman – Education Policy Analysis Archives, 2018
Student learning is increasingly taking place in digital environments both within and outside schooling contexts. Educational assessments are following suit, both to take advantage of the conveniences and opportunities that digital environments provide as well as to reflect the mediums of learning increasingly taking place in societies around the…
Descriptors: Access to Computers, Disadvantaged, Educational Assessment, Gender Differences
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Cohrssen, Caroline; Richards, Ben; Wang, Rhoda – Infant and Child Development, 2023
During the COVID-19 pandemic, kindergartens in Hong Kong have sought ways in which to support children's learning at home while schools were closed. We report on a proof-of-concept study: short videos intended to support playful learning at home were distributed to parents/caregivers of preschool children via a smartphone app; toys and a storybook…
Descriptors: Handheld Devices, Telecommunications, Kindergarten, Preschool Children
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Quynh Ho, Thi Truc; Nguyen, Hung Thanh – European Journal of Developmental Psychology, 2023
Self-disclosure on social networking sites was found to be related to cyber victimization, loneliness, and psychological distress. However, few studies have investigated the mediating role of cyber victimization in these relationships among adolescents, especially in Vietnamese adolescents. This paper aims to investigate the indirect effect of…
Descriptors: Foreign Countries, Self Disclosure (Individuals), Social Media, Psychological Patterns
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Wright, Michelle F.; Wachs, Sebastian – Youth & Society, 2023
The purpose of the present study was to investigate the moderating effect of technology use for friendship maintenance in the associations between self-isolation during the COVID-19 pandemic and friendship quality, measured 6 months later (Time 2). Participants were 1,567 seventh and eighth graders (51% female; 51% white; M[subscript age] = 13.47)…
Descriptors: Adolescents, Grade 8, Grade 7, Friendship
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Rekha, I S; Shetty, Jyothi; Basri, Savitha – Education and Information Technologies, 2023
In recent years, there has been an increasing interest in understanding the Massive open online courses (MOOCs) due to its gaining popularity. Even though the number of online platforms and programs has grown during the COVID-19 pandemic, there is still a high rate of dropout and non-completion. In this work, the expectation-confirmation model is…
Descriptors: Undergraduate Students, Graduate Students, Intention, MOOCs
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Shin, Hye Won; Sok, Sarah – ReCALL, 2023
The current study is an approximate replication of Gray and DiLoreto's (2016) study, which proposed a model predicting that course structure, learner interaction and instructor presence would influence students' perceived learning and satisfaction in online learning, with student engagement acting as a mediator between two of the predictors and…
Descriptors: College Students, Second Language Learning, Computer Assisted Instruction, Electronic Learning
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Chen, Huan; Wang, Ye; Li, You; Lee, Yugyung; Petri, Alexis; Cha, Teryn – Education and Information Technologies, 2023
Artificial intelligence (AI) has been widely adopted in higher education. However, the current research on AI in higher education is limited lacking both breadth and depth. The present study fills the research gap by exploring faculty members' perception on teaching AI and data science related courses facilitated by an open experiential AI…
Descriptors: College Faculty, Computer Science Education, Control Groups, Data Science
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Ba, Shen; Hu, Xiao; Stein, David; Liu, Qingtang – British Journal of Educational Technology, 2023
Providing coaching to participants in inquiry-based online discussions contributes to developing cognitive presence (CP) and higher-order thinking. However, a primary issue limiting quality and timely coaching is instructors' lack of tools to efficiently identify CP phases in massive discussion transcripts and effectively assess learners'…
Descriptors: Coaching (Performance), Computer Mediated Communication, Inquiry, Classification
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VanDerHeyden, Amanda M.; Codding, Robin; Solomon, Benjamin G. – Remedial and Special Education, 2023
Computer-based curriculum-based measurement (CBM) is a relatively common practice, but surprisingly few studies have examined the reliability of computer-based CBM. This study sought to examine the reliability of CBM administered via paper/pencil versus the computer. Twenty-one of 25 students in two third-grade classes (N = 21) participated in two…
Descriptors: Curriculum Based Assessment, Computer Assisted Testing, Test Format, Grade 3
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Agbo, Friday Joseph; Olaleye, Sunday Adewale; Bower, Matt; Oyelere, Solomon Sunday – Smart Learning Environments, 2023
Researchers are increasingly exploring educational games in immersive virtual reality (IVR) environments to facilitate students' learning experiences. Mainly, the effect of IVR on learning outcomes has been the focus. However, far too little attention has been paid to the influence of game elements and IVR features on learners' perceived…
Descriptors: Student Attitudes, Technology Uses in Education, Cognitive Processes, Teaching Methods
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Schneider, Johannes; Richner, Robin; Riser, Micha – International Journal of Artificial Intelligence in Education, 2023
Autograding short textual answers has become much more feasible due to the rise of NLP and the increased availability of question-answer pairs brought about by a shift to online education. Autograding performance is still inferior to human grading. The statistical and black-box nature of state-of-the-art machine learning models makes them…
Descriptors: Grading, Natural Language Processing, Computer Assisted Testing, Ethics
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