Based on Folk theory, Media Equation, and AI literacy research, the study constructed an interview outline and selected 72 students in 4th and 5th grade in three primary schools located in the Minhang and Putuo districts of Shanghai (two in the Minhang district and one in the Putuo district) as the study participants for focus group interviews.…

Measurement of readability is an important tool for assessing reading disorders such as dyslexia. Among the screening procedures for dyslexia is the reading fluency test, which is defined as the ability to read with speed, accuracy and proper expression. The reading fluency test often consists of a sequence of unrelated written texts ranging from…

The aim of this study is to examine primary school students' views on artificial intelligence. Phenomenology design, one of the qualitative research methods, was used in the study. The study was conducted with 25 fourth grade students. The participants of the study were determined using the criterion sampling method, one of the purposeful sampling…

This study examined whether an artificial intelligence-based automatic speech recognition system can accurately assess students' reading fluency and reading level. Participants were 120 fourth-grade students attending public schools in Türkiye. Students read a grade-level text out loud while their voice was recorded. Two experts and the artificial…

This study investigated: (a) how the task relevance of postings differed between anonymous versus identified online discussions in elementary school, and (b) how game-like conversations with story characters impacted the task relevance of postings. A total of 342 fourth graders in Slovenia participated in the study. During one and a half-hour,…

The integration of artificial intelligence (AI) topics into K-12 school curricula is a relatively new but crucial challenge faced by education systems worldwide. Attempts to address this challenge are hindered by a serious lack of curriculum materials and tools to aid teachers in teaching AI. This article introduces the theoretical foundations and…

In this study, it was aimed to compare the predictions of the academic achievement of the artificial neural networks (ANN) run in MATLAB and SPSS software and to determine the factors related to their academic achievement. Sample consisted of 465 students who were studying at Grade 4 in primary schools in the Central Anatolian Region of Turkey in…

The application of artificial intelligence (AI) in education is now widespread, and the use of robots in education has demonstrated a positive influence on students' behavior and development. However, the use of emerging technologies usually results in cognitive load, especially for elementary school students whose learning capacity has not yet…

Machines have a long-demonstrated ability to find statistical relationships between qualities of texts and surface-level linguistic indicators of writing. More recently, unlocked by artificial intelligence, the potential of using machines to identify content-related writing trait criteria has been uncovered. This development is significant,…

Children's attitudes towards, and frequency of recreational reading influence their reading skill level. The aim of this study was to determine the relative influence of research-supported intrinsic and extrinsic variables that can shape this attitude and practice, and to investigate the use of artificial neural network as an adjunct approach in…

In recent years, the development of mobile technology and devices makes Artificial Intelligence (AI) and Augmented Reality (AR) available tools in classroom teaching and learning. AI and AR are used to improve the learning effect as well as motivate the students' learning enthusiasm. In English as a second language (ESL) learning, several previous…

For the forty-fourth time, the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented online and onsite during the annual AECT Convention. Volume 1 contains papers dealing primarily with research and development topics. Papers dealing with…

This paper compares the efficiency of two intelligent methods: expert systems and neural networks, in detecting children's mathematical gift at the fourth grade of elementary school. The input space for the expert system and the neural network model consisted of 60 variables describing five basic components of a child's mathematical gift…

The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…