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Miroslava Petrova; Claas Kuhnen – Design and Technology Education, 2025
Integration of Artificial Intelligence (AI) in the design process is a growing area of research interest. Three years after its public launch in 2022, AI has already established itself as the most disruptive tool revolutionizing how designers conceptualize, iterate and innovate. As AI technologies continue to evolve, it is pertinent that design…
Descriptors: Artificial Intelligence, Computer Software, International Cooperation, Institutional Cooperation
Guan-Yu Lin; Ciao-Chun Jhang; Yi-Shun Wang – Education and Information Technologies, 2024
The use of AI-based social robots has been shown to be beneficial for learning English as a Second Language (ESL). Not much is known, however, about the drivers of parental intention to use those robots in support of their children's ESL learning. This study aims to explore the factors that drive parental intention to adopt AI-based social robots…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
Torkildsen, Janne von Koss; Bratlie, Siri Steffensen; Kristensen, Jarl Kleppe; Gustafsson, Jan-Eric; Lyster, Solveig-Alma Halaas; Snow, Catherine; Hulme, Charles; Mononen, Riikka-Maija; Naess, Kari-Anne B.; López-Pedersen, Anita; Wie, Ona Bø; Hagtvet, Bente – Journal of Educational Psychology, 2022
Morphemes, the smallest meaning-bearing units of language, recur in many words. Therefore, morphological knowledge can facilitate the comprehension of novel words. This study tested the effectiveness of a morphological training program on children's learning and retention of exposed words and morphologically related unexposed words compared with…
Descriptors: Morphemes, Morphology (Languages), Language Processing, Teaching Methods
D'Amico, Antonella – International Journal of Emotional Education, 2018
"Developing Emotional Intelligence" is an Italian language multimedia tool created for children between 8 and 12 years of age. The software is based on the four 'branches' of model of emotional intelligence proposed by Mayer and Salovey and aims to evaluate and improve abilities in perception of emotions; using emotion to facilitate…
Descriptors: Emotional Intelligence, Educational Technology, Technology Uses in Education, Multimedia Instruction
Rush, S. Craig – Journal of Educational Technology Systems, 2014
This article draws on the author's experience using qualitative video and audio analysis, most notably through use of the Transana qualitative video and audio analysis software program, as an alternative method for teaching IQ administration skills to students in a graduate psychology program. Qualitative video and audio analysis may be useful for…
Descriptors: Qualitative Research, Video Technology, Computer Software, Graduate Students
Hetzroni, Orit E.; Israel, Einav – Journal of Cognitive Education and Psychology, 2019
Individuals with low functioning autism spectrum disorders (LFASD) who demonstrate significant cognitive and communication needs benefit from using technology for learning graphic symbols for enhancing participation. This study investigated if an iPad application would increase identification of graphic symbols by children and adults with LFASD.…
Descriptors: Autism, Pervasive Developmental Disorders, Intellectual Disability, Communication Skills
Rebecca A. Dore; Jennifer M. Zosh; Kathy Hirsh-Pasek; Roberta M. Golinkoff – Grantee Submission, 2017
Digital media and electronic toys are changing the landscape of childhood. How does this change impact language learning? In this chapter, we explore potential alignment between six established principles of language and children's engagement with digital media and electronic toys. We argue that electronic toys and digital media are not solely…
Descriptors: Vocabulary Development, Electronic Learning, Toys, Information Technology
de Leeuw, Linda; Segers, Eliane; Verhoeven, Ludo – Scientific Studies of Reading, 2016
The focus of the present study was on the mediation and moderation effects of reading processes as evidenced from eye movements on the relation between cognitive and linguistic student characteristics (word decoding, vocabulary, comprehension skill, short-term memory, working memory, and nonverbal intelligence) and text comprehension. Forty 4th…
Descriptors: Reading Comprehension, Eye Movements, Regression (Statistics), Nonverbal Ability

Shiratuddin, Norshuhada; Landoni, Monica – Evaluation and Program Planning, 2002
Proposes a model on which activities in children's educational software could be evaluated based on Multiple Intelligences theory. Proposes that, when evaluating the types of activity in children's educational software, one should ask whether it contains at least some of the activities in the model for each learning activity. (Author/SLD)
Descriptors: Children, Computer Software, Content Analysis, Educational Technology