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Kukulska-Hulme, Agnes – Research-publishing.net, 2018
Despite efforts to increase participation in education across the globe, it remains an inaccessible right for millions of children and adults. Mobile learning, and specifically 'mobile assistance', can provide personal support to learners when teachers are scarce or learners have pressing individual goals. MASELTOV was a project which implemented…
Descriptors: Access to Education, Telecommunications, Handheld Devices, Educational Technology
Stankovska, Gordana; Dimitrovski, Dimitar; Angelkoska, Slagana; Ibraimi, Zebide; Uka, Valbona – Bulgarian Comparative Education Society, 2018
In today's highly competitive world, students face various academic problems including exam stress, anxiety during the test, problems with homework assignments, expectations about academic success or inability to understand the subjects. Rapid changes in the education sector gave rise to stern testing procedures for evaluating students' knowledge.…
Descriptors: College Students, Stress Variables, Test Anxiety, Emotional Intelligence
Sen, Ayon; Patel, Purav; Rau, Martina A.; Mason, Blake; Nowak, Robert; Rogers, Timothy T.; Zhu, Xiaojin – International Educational Data Mining Society, 2018
In STEM domains, students are expected to acquire domain knowledge from visual representations that they may not yet be able to interpret. Such learning requires perceptual fluency: the ability to intuitively and rapidly see which concepts visuals show and to translate among multiple visuals. Instructional problems that engage students in…
Descriptors: Visual Aids, Visual Perception, Data Analysis, Artificial Intelligence
Reilly, Joseph M.; Ravenell, Milan; Schneider, Bertrand – International Educational Data Mining Society, 2018
In this paper, we describe the analysis of multimodal data collected on small collaborative learning groups. In a previous study, we asked pairs (N=84) with no programming experience to program a robot to solve a series of mazes. The quality of the dyad's collaboration was evaluated, and two interventions were implemented to support collaborative…
Descriptors: Cooperative Learning, Programming, Nonverbal Communication, Motion
Gautam, Dipesh; Maharjan, Nabin; Graesser, Arthur C.; Rus, Vasile – International Educational Data Mining Society, 2018
This work is a step towards full automation of auto-mentoring processes in multi-player online environments such as virtual internships. We focus on automatically identifying speaker's intentions, i.e. the speech acts of chat utterances, in such virtual internships. Particularly, we explore several machine learning methods to categorize speech…
Descriptors: Speech Acts, Classification, Automation, Synchronous Communication
Elena Zaretsky; Susie Russak – International Journal of Multilingualism, 2024
Acquisition of oral English verb morphology presents difficulties for bilinguals, learners of EFL and English-speaking monolingual children with specific language impairment. This study aimed to identify challenging English verb inflections among sixth grade speakers of Arabic (N = 85) and Hebrew (N = 86) using an elicited oral narrative task, and…
Descriptors: Speech Impairments, Language Impairments, Arabic, Hebrew
Sean J. Smith; Amber Rowland; Samantha Goldman; Adam Carreon – Journal of Special Education Leadership, 2024
The purpose of this qualitative study was to understand, from the perspective of students with disabilities, what special education leaders and their respective classroom educators should consider in the integration of artificial intelligence (AI) features and tools to support individualized instruction. This study utilized an immersive and…
Descriptors: Special Education, Leaders, Artificial Intelligence, Technology Uses in Education
Leanne Tamm; Sydney M. Risley; Elizabeth Hamik; Angela Combs; Lauren B. Jones; Jamie Patronick; Tat Shing Yeung; Allison K. Zoromski; Amie Duncan – International Journal of Developmental Disabilities, 2024
Background: Academic challenges such as losing/not turning in assignments, misplacing materials, and inefficient studying are common in middle-school students with autism spectrum disorder (ASD) without intellectual disability. Deficits in organization, planning, prioritizing, memory/materials management, and studying skills [i.e. academic…
Descriptors: Academic Achievement, Intelligence Tests, Intervention, Executive Function
Mohammad H. Al-khresheh – Language Teaching Research Quarterly, 2024
The integration of artificial intelligence (AI) into language instruction has presented new opportunities, with ChatGPT emerging as a promising tool for interactive and personalized learning. This systematic review examines the effectiveness, advantages, and drawbacks of the ChatGPT in English language teaching (ELT). To achieve this objective,…
Descriptors: Futures (of Society), Artificial Intelligence, Computer Software, Technology Uses in Education
Andreas Gegenfurtner, Editor; Ingo Kollar, Editor – New Perspectives on Learning and Instruction, 2024
Bringing together the research of leading international scholars in the field of digital learning, "Designing Effective Digital Learning Environments" discusses cutting-edge advancements in digital technology and presents an evidence-informed summary of best practices for effective design principles and implementation within educational…
Descriptors: Instructional Design, Best Practices, Information Technology, Technology Integration
Editorial Projects in Education, 2025
Problem-based learning (PBL) offers a powerful approach to engage students in meaningful learning experiences by connecting classroom content to real-world challenges. This Spotlight explores how PBL can be implemented across K-12 to foster critical thinking, collaboration, and problem-solving skills. From preparing students for the workforce…
Descriptors: Problem Based Learning, Learning Experience, Kindergarten, Elementary Secondary Education
Muhammad Mooneeb Ali, Editor; Muhammad Nadeem Anwar, Editor; Shawana Fazal, Editor; Shazia Ayyaz, Editor – IGI Global, 2025
The integration of artificial intelligence in language learning is transforming education by making language acquisition more personalized, efficient, and accessible. AI-powered tools, such as intelligent tutoring systems and adaptive learning platforms, enable learners to receive real-time feedback, customized lessons, and immersive experiences…
Descriptors: Artificial Intelligence, Computer Software, Second Language Learning, Second Language Instruction
Mateja Gabaj; Jelena Kuvac Kraljevic; Marleen F. Westerveld – First Language, 2025
This study aims to investigate the linguistic organisation and coherence of personal narratives among children with Developmental Language Disorder (DLD) to provide insight into their communication skills in everyday contexts. A cohort of 10-year-old Croatian-speaking children diagnosed with DLD (n = 50, M = 10;8) and their gender-matched…
Descriptors: Native Language, Language Acquisition, Developmental Delays, Language Impairments
Andrew Walker; Quan Yuan, Contributor; Kun Yuan, Contributor; Sabrina White, Contributor – Graduate Management Admission Council, 2025
For more than 15 years, the GMAC Prospective Students Survey (PSS) has provided the world's graduate business schools with critical insights into the decision-making processes of people actively applying to, considering, or researching graduate management education (GME) programs. Its questions--covering a diverse range of topics that impact…
Descriptors: Business Schools, Business Education, Graduate Students, Student Financial Aid
Graduate Management Admission Council, 2025
For more than a decade, the GMAC Prospective Students Survey (PSS) has provided the world's graduate business schools with critical insights into the decision-making processes of people actively applying to, considering, or researching graduate management education (GME) programs. This year's report, summarized in this report, considers data…
Descriptors: Business Schools, Business Education, Graduate Students, Student Financial Aid

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